Category: Exams/Certifications

Exam AB-210: Dynamics 365 Sales AI Consultant Associate

Indeed the 3rd exam related post in just over a week – it’s a busy (new) certification release season at the moment!

This time it’s the new AB-210 exam, focusing on Dynamics 365 Sales and AI (of course!). It’s nice to see that there’s a dedicated Dynamics 365 Sales exam back now – most of us will remember the MB-210 exam that was around for a number of years, but which was retired at the end of November 2024. What happened was that a new exam at the time (the MB-280) was released, which rolled together Dynamics 365 Sales with Dynamics 365 Customer Insights.

I never fully officially understood the reason for this, given that the roles in reality are quite different, and did comment at the time (MB-280: Microsoft Dynamics 365 Customer Experience Analyst) that I wondered how well it would stand the progress of time.

AI and sales capabilities seem generally to go well together – Microsoft has publicly demoed at large conferences the Sales Agent multiple times, showing how it can help qualify leads, and handle engagments with customers. To be honest I quite like this in general, though for implementation I do keep my (slightly skeptical) eye on it, to ensure it’s working in the right way.

The official description of the proposed exam candidate is:

As a candidate for this Microsoft Certification, you design and configure AI-enhanced sales solutions by using Dynamics 365 Sales, Copilot in Dynamics 365 Sales, and agent capabilities to help sellers work more efficiently throughout the lead-to-cash process. You translate business requirements into practical seller workflows enhanced with conversational intelligence, predictive insights, guided automation, and secure data access.

In this role, you work closely with sales, operations, and IT stakeholders to help ensure that solutions align with revenue goals and process optimization.

You perform the following design and implementation tasks:

  • Configure Dynamics 365 Sales core features.
  • Deploy, manage, and monitor agents in Sales.
  • Implement collaboration features.
  • Tailor AI-powered intelligence features.

It is highly recommended that candidates complete training in intermediate-level Microsoft Power Platform configuration before taking this certification exam. Additionally, you must have functional knowledge of:

  • Building Power Automate cloud flows.
  • Interpreting an organization’s sales processes and seller experience.
  • Building and extending model-driven apps.

The overall information for the exam can be found at Microsoft Certified: Dynamics 365 Sales AI Consultant Associate, and there is an official Learning Path available for it.

I do like that the exam content overview calls out that Power Platform knowledge & configuration is highly recommended. Obviously Dynamics 365 is built on top of Power Platform, and having this knowledge (ie the ability to customise & extend with Power Platform capabilities) is key to well thought through implementations.

As I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change for when it comes out of beta.

I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

  • Setup & Data
    • Environment creation & provisioning
    • Document management options & requirements
    • Enabling AI capabilities (Copilot, Sales Agent etc)
    • Configuring & customising forms
    • Configuring & customising views
  • Outbound calling
    • Configuration
    • Security requirements
  • AI Capabilities
    • Getting access to AI capabilities for users (deployment, security etc)
    • What the different AI agents & modes are, when to use them, and the behaviour of each
    • What blueprints are, how to use them, how to modify them
    • How AI agents handle communication re-tries
    • Creating custom agents
    • Analysing AI agent behaviour (runs, outcomes, metrics etc), monitoring information
    • Using AI to summarise records & ask for information
    • Ways to handle AI usage billing (what options are available, where to do this, how to do this)
  • Leads & Opportunities
    • Setting up & configuring predictive lead scoring models, requirements for implementing this
    • Understanding lead to opportunity conversion process, and continuing through to a final sale
    • Understanding sales goals, configuring sales goal/metrics/KPI’s, configuring rollup queries for aggregation
    • Assignment behaviour for leads to users, how this works, configuration for this
  • Products
    • The different ways to handle products (eg units, bundles, price lists, product families)
    • When each one should be used, and requirements for them
    • How to use the different components to configure specific scenarios
    • Relating products together
  • Pricing
    • Different ways to approach pricing products (eg singly, as a bundle, etc)
    • Handling multiple territories
    • Handling multiple currencies
    • Configuring price lists
    • Handling expired price lists & system behaviour
    • Handling discounting
  • Mobile app
    • Setup & configuration
    • Data synchronisation
    • Security setup & requirements
    • Push notifications
  • Power Automate
    • Understanding when to use different trigger types (automated/manual/schedule)
    • Usage for scenarios requiring approvals
  • Business process flows
    • What they are, and what they should be used for
    • How to configure, moving between stages, understanding how they work

I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

Exam AB-620: Design and build integrated AI agent solutions in Copilot Studio

We seem to be on a roll here over the last month or so with new exams being released (& its not over yet!). With all of the emphasis on AI & agents, I decided to go take the new Copilot Studio exam to see what it would be like.

Given that I have a decently passing familiarity with Copilot Studio (as I use it for projects, and actually do get hands on with it quite a bit of the time), I felt that I’d be in a good place to handle it without any revision. Obviously this could have been a bold move, and it’s up to everyone to make their own decisions about how much to revise (or not revise)!.

Copilot Studio has moved on from when it first came onto the scene (and for those who remember, it used to be called Power Virtual Agent, or PVA). Nowadays it supports coding within it, but it also can serve as the front end for other Microsoft AI capabilities, such as Microsoft Foundry models.

This is also the first time that it’s been featured for its own exam – previously it got rolled into other exams (such as the PL-100, PL-200, etc), where it was just one of the components being covered (and covered in a lightweight manner, at that). With the focus from Microsoft now heavily on it though, it’s now taken a step forward into the spotlight by itself.

The official description of the proposed exam candidate is:

As a candidate for this Microsoft Certification, you’re a professional developer or advanced builder who builds, extends, and integrates custom agents for enterprise-grade solutions. You typically work as an IT application developer, consultant, or independent software vendor (ISV) partner focused on creating scalable AI solutions for organizations or customers.

For this exam, you should be familiar with Power Fx, Microsoft Dataverse, Microsoft Power Platform environments and components, Microsoft 365 Copilot, Microsoft Foundry, and adaptive cards.

You need intermediate knowledge of generative AI concepts, including models, orchestration, retrieval-augmented generation (RAG), Model Context Protocol (MCP), Agent2Agent (A2A) protocol, and more. You should also have experience with prompt engineering and with REST APIs and integration patterns. Additionally, you need experience configuring agents with basic knowledge sources, instructions, tools, and topics in Microsoft Copilot Studio.

As a developer who works in Copilot Studio, you:

  • Integrate agents with Microsoft Foundry.
  • Integrate agents with Model Context Protocol (MCP) servers.
  • Integrate agents with custom connectors.
  • Integrate agents with APIs.
  • Integrate agents with Microsoft Fabric.
  • Automate tasks with computer use.
  • Integrate agents with connectors.

You create:

  • Multi-agent solutions.
  • Agents with enterprise knowledge sources (such as ServiceNow, SAP, and others).
  • Advanced agent topics and tools.
  • Computer-using agents.
  • Agents that perform advanced actions via APIs.

You collaborate with Microsoft 365 administrators, Microsoft Power Platform administrators, Microsoft Copilot administrators, Copilot Studio agent builders, Copilot Studio administrators, Foundry administrators, agentic AI business solutions architects, and Copilot Studio architects.

The overall information for the exam can be found at Microsoft Certified: AI Agent Builder Associate, and there is an official Learning Path available for it.

As I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change for when it comes out of beta.

I’ll freely admit that there was a LOT more focus on MCP capabilities than I had expected there to be, but I guess that again this is natural, given how Microsoft is moving at the moment.

I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

  • Copilot Studio
    • Component/node types. What they are, how/when to use them
    • Using topic variables
    • Timeouts
    • Concurrency
    • Sensitive data & Using type ‘secret’ – what this does and why to use
    • Generative answers – how they work, limitations, what to know, how to configure & ground them
    • Computer Use
    • Connecting with Microsoft Graph
    • Connecting to other agents – how to do this, how to configure, what to use
  • Connector types
    • Standard connectors (ie connectors provided by Copilot Studio). When to use them, limitations
    • Custom connectors – what these are, why you’d use them
  • Security
    • Authentication types (API, OAuth 2)
    • Query delegation
    • DLP policies
  • MCP servers
    • What they are
    • Connecting to them
    • Security with MCP servers
    • Authentication types
    • Usage of AI with MCP servers
  • Azure AI Search
    • Connecting to knowledge index
    • Configurations
    • Security
  • Solution Types
    • Default vs Unmanaged vs Managed
    • Environment variables
    • Creating solution
  • Application Lifecycle Management (ALM)
    • What this is, and why it’s needed
    • What approaches can be used, why to use them
    • What’s needed to set up ALM
  • Monitoring & Troubleshooting
    • Reporting on deployed agents
    • Evaluating usage of deployed agents
    • Identifying issues & errors
    • Stopping runs

I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

Exam AI-901: Microsoft Azure AI Fundamentals

With a massive amount of focus on AI across the Microsoft platform, I decided to sit the new AI-901 exam, which is the new Azure fundamentals exam. I’m far from being an Azure architect, but will freely admit a decent amount of familiarity with a lot of Azure components, especially the AI stuff. Having previously passed the AI-900 a while back, I was expecting the exam to be up to date with technical developments, but wasn’t FULLY prepared for what it was actually like…

Now obviously all Microsoft AI capabilities, regardless of where they’re surfaced through, actually sit (somewhere) within Azure. After all, Azure is the Microsoft cloud platform itself (well, until someone decides to rename it, of course).

My expectations for going into the exam (with admittedly very minimal preparation for it) was to cover the basics for AI within Azure, similar to the way that the AI-900 exam was. Whilst this was somewhat the case, it didn’t necessarily stay within the bounds of my expectations.

The official description of the proposed exam candidate is:

This certification is intended for individuals who want to start working with AI solutions built on Azure. It is suitable for learners from technical backgrounds, including aspiring junior developers who are starting to incorporate AI capabilities into applications. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material.

This certification assesses your ability to show the conceptual knowledge and practical understanding needed to work with AI solutions on Azure, including:

  • Understanding core cloud concepts, such as services and resource deployments
  • Using Microsoft Foundry to deploy models and implement single-agent solutions
  • Recognizing how client applications are put together and how AI models and services are consumed within those solutions
  • Understanding Python code examples that call AI models and services

This certification is intended to validate skills commonly used when performing tasks such as:

  • Adding AI workloads, including language, vision, and generative AI, to software or IT solutions
  • Exploring and using AI features in applications as a junior or entry level developer

The overall information for the exam can be found at Microsoft Certified: Microsoft Azure AI Fundamentals, and there is an official Learning Path available for it.

As I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change for when it comes out of beta.

My main shock was the number of questions on Python code, including needing to select the right code syntax to use. Whilst I do understand that Microsoft is aiming to make Fundamental level exams/certifications more ‘technical’, I do feel that this is much more technical than the audience should be experiencing. I’ve also fed this back as feedback into Microsoft.

I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

  • Analysis
    • Analyser types (audio, document, image, video). What each type is, how to configure them, and when to use them
    • Defining schemas for data extraction
    • How to extract content for analysis
  • Python
    • Using the Python SDK
    • Python code syntax and commands
  • Microsoft Foundry/Foundry Models
    • How AI models actually work when using/interfacing with them. Behaviour, access to content, prediction etc
    • LLM evaluations – comparing costs and capabilities
    • Creating, configuring, deploying, updating
    • Model temperature, inference
    • Minimising model bias, ensuring fairness
    • Connecting to a deployed model
    • Message structures for Foundry projects
    • Agent Evaluators – what they are, how to use them
    • Using Azure Content Understanding
  • Usage for models
    • Using Azure functions
    • Encoding images – data types
    • Voice Live (audio to text)
    • Azure speech SDK, and classes to use
  • Prompts:
    • Agent prompts. What are they, how are they used, why you should use them
    • System prompts. What are they, how are they used, why you should use them
  • Microsoft Responsible AI Principles – what they are, what are example of them
  • Why humans are still important to be involved in processes

I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

Exam AB-731: AI Transformation Leader

What better way to start 2026 then to talk about a Microsoft certification, especially one for a totally NEW type of user!

Following on the steps of the other AB exams I’ve been writing about my experience with (see Exam AB-730: AI Business Professional, Exam AB-100: Agentic AI Business Solutions Architect and Exam AB-900: Microsoft 365 Copilot and Agent Administration Fundamentals ), this article will cover the AB-731 exam.

This exam is focusing on the Microsoft AI capabilities from a Business Leader perspective, and to the best of my knowledge is the first time that Microsoft has ever created an exam from a ‘Business Leader’ perspective. Taking this exam was a complete mindset shift to me, especially when seeing the questions – it’s not about understanding the in depth technical capabilities, but more around the breadth of technology options (spanning Azure, Microsoft 365 Copilot, Copilot Studio & other tools), and what they bring/enable from a BUSINESS perspective.

The official description of the proposed exam candidate is:

As a candidate for this Microsoft Certification, you should understand how to recognize opportunities for AI transformation, identify the right AI tools and resources, plan for AI adoption, optimize business processes, and drive innovation by using Microsoft 365 Copilot and Azure AI services.

This Certification is designed for business decision-makers at all levels who are responsible for guiding transformation and innovation within their teams or organizations. In this role, you’re expected to demonstrate AI fluency, strategic vision, and the ability to lead AI adoption across teams and functions but are not expected to write any code.

As a candidate for this Certification, you should be able to evaluate AI opportunities, champion responsible AI practices, and align AI investments with business goals. You need experience leading adoption or change management in a business context. You must also be familiar with Microsoft 365 services, Azure AI services, and general AI capabilities.

The overall information for the exam can be found at Microsoft Certified: AI Transformation Leader, and there is an official Learning Path available for it.

As I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change for when it comes out of beta.

Overall, the exam approach was quite different to me – though I do talk with organisations frequently around general AI matters, I’ve never taken an example written in this way beforehand. However, I do feel that it’s very helpful to have this in place, to ensure that business leaders can demonstrate that they actually do know what they’re talking about 😉

I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

  • Azure Components & Capabilities
    • AI Vision – what it can be used for, benefits of using it, capabilities that it has
    • AI Language – what it can be used for, benefits of using it, capabilities that it has
    • AI Document Intelligence – what it can be used for, benefits of using it, capabilities that it has
    • Machine Learning – what it can be used for, benefits of using it, capabilities that it has
    • AI Foundry – what it can be used for, benefits of using it, capabilities that it has
    • AI Search – what it can be used for, benefits of using it, capabilities that it has
  • Microsoft 365 Copilot Chat
    • What license is needed
    • What data does it have access to
    • What security controls are in place
  • Microsoft 365 Copilot
    • What is it, what can it be used for
    • What can it do
    • How does it connect to data
    • What are the connectors for it (standard & custom)
    • Benefits of using it (vs 3rd party AI tooling)
    • Different agents (eg Analyst & Researcher) within it – what they do, how to access and use them
  • Microsoft Copilot Studio
    • What is it, what can be used for
    • What can it do
    • What license is needed
    • What data can it access
  • Microsoft Security Copilot
    • What is it, what can be used for
    • What can it do
    • Benefits that it provides
  • Security & Governance
    • Content filtering controls within Copilot
    • Policies
    • Handling requirements to prevent inappropriate language & responses
    • Responsible AI principles
    • Governance ownership, responsibility & requirements
  • Generative AI
    • AI model hallucinations
    • Grounding in data
    • Improving response quality
    • Prompt engineering
    • Pre trained models vs fine tuned models
    • Reasoning models vs non-reasoning models
    • Understanding usage costs (including different pricing models)
    • What is RAG, and how can it be used for business scenarios
    • Adoption throughout organisations – personas to involve in adoption team

    I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

    Exam AB-900: Microsoft 365 Copilot and Agent Administration Fundamentals

    Following on the steps of the other AB exams I’ve been writing about my experience with (see Exam AB-730: AI Business Professional & Exam AB-100: Agentic AI Business Solutions Architect), this article will cover the AB-900 exam.

    This exam is focusing on the Microsoft 365 Copilot capabilities from a user & administration perspective, and doesn’t cover/include anything from Copilot Studio.

    Now, though it’s a Fundamentals exam, to be honest it’s the HARDEST fundamentals exam that I’ve ever taken!

    The approach is around being able to demonstrate understanding of how to use the Microsoft 365 Copilot, as well as a lot of focus on how to control & administer it.

    The official description of the proposed exam candidate is:

    As a candidate for this Microsoft Certification, you should be familiar with Microsoft 365, including core services, security, identity and access, data protection, and governance, along with Microsoft 365 Copilot and agents.

    Additionally, you should be familiar with the admin centers used to access Microsoft 365 workloads, such as Exchange Online, SharePoint in Microsoft 365, Microsoft Teams, Microsoft Entra, and Microsoft Purview. You need to have experience with AI-driven productivity tools and modern IT management practices.

    You must be able to identify the roles of the core features and objects available in Microsoft 365, such as users, groups, teams, sites, and libraries. Plus, you should understand the core security features of Microsoft 365, such as authentication methods, conditional access policies, and single sign-on (SSO).

    The overall information for the exam can be found at Microsoft 365 Certified: Copilot and Agent Administration Fundamentals, and there is an official Learning Path available for it.

    As I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change for when it comes out of beta.

    One thing to keep in mind about this exam – though I do mention Microsoft Purview in the list of items below, I haven’t gone into it extensively. However, there were a LOT of questions that touched on Purview (& other governance stuff as well) – you REALLY need to be knowing & understanding these capabilities to be able to take & pass the exam. Just guessing the answers is not going to help at all!

    Overall, the exam seemed to me to be pretty decent, though with indeed a heavy focus on security & governance (as I’ve mentioned above). I don’t see this as a bad thing though, as it can help to show that administrators really do know what they’re talking about.

    I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

    • Agent types
      • Native Microsoft 365 Copilot agent
      • Native Microsoft 365 Copilot advanced agents (eg Researcher & Analyst). What they are, how to access, what to use them for
      • Custom Microsoft 365 Copilot agent
      • SharePoint agent
    • Creating/using Agents
      • Using natural language to create agents
      • How to handle/perform multi-step reasoning
      • Use of notebooks
      • Custom instructions
      • Scheduling prompts
      • Querying data types
        • Structured
        • Unstructured
    • Governance & security
      • Blocking access to different types of searches & collateral
      • Blocking access to specific agents
      • Tools to use for blocking
      • How to share agents with other users
      • Assigning licenses to users
      • Data retention policies
      • Data labelling policies
      • Use of Microsoft Purview, covering capabilities, tools, auditing, how to use, etc
      • Use of DLP
      • Data source permissions
      • Conditional access policies
      • Microsoft Defender – what it is, capabilities it has, how to use it, etc.
      • Types of authentication
    • Reporting
      • Licensing & usage
      • Adoption & interactions
    • Payment options & capabilities
      • Credit usage – internal vs external users
      • Pay As You Go Billing, and scenarios you can use it for

    I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

    Exam AB-730: AI Business Professional

    Following on from the recent launch of the new Exam AB-100: Agentic AI Business Solutions Architect exam, Microsoft has now developed & released other exams in the AB series – this post is on the AB-730 exam.

    The approach continues to be around how to use AI within technology for business purposes, rather than needing to be able to create AI or code. This exam focused on the Microsoft 365 Copilot experience, how to use it within various Microsoft Office applications, etc.

    The official description of the proposed exam candidate is:

    As a candidate for this Microsoft Certification, you should have experience using generative AI–powered productivity tools, including Microsoft 365 Copilot, Researcher, and Analyst. You take advantage of AI to improve daily work, drive business outcomes, and make informed decisions in business contexts—without building AI apps or writing code.

    You should have a basic understanding of Microsoft 365 and should be comfortable navigating core apps, such as Outlook, Word, Microsoft Teams, PowerPoint, and Excel. You should also be familiar with common business processes, including drafting emails, creating presentations, generating images, and managing documents.

    The overall information for the exam can be found at at Microsoft Certified: AI Business Professional (beta) – Certifications | Microsoft Learn, and there is an official Learning Path available for it.

    As I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change for when it comes out of beta.

    One thing that I found I didn’t like about the exam is the new question type of ‘Best Answer’. This question type gives various options, whilst telling you that more than one answer choice may achieve the goal, but asking you to select the BEST answer. I believe that questions like this are subjective, and the answers will vary based on each person’s knowledge, understanding & experience, so I’m not quite sure why Microsoft have decided that this would be good to use. It will be interesting to see what happens when the exam comes out of Beta, and if these questions are still around or not then.

    Overall, the exam seemed to me to be pretty decent – I initially thought it would be quite generic, but you really do need to know how all the Copilot offerings work including Copilot Chat and Copilot in the Office applications.

    If you’re new to Copilot, and/or not really sure as to how it actually works & the capabilities, I’d suggest not to take the exam yet. Instead, go and take a look at the learning paths, and look to find out how it actually works & operates.

    I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

    • Microsoft 365 Copilot vs Microsoft 365 Copilot Chat
      • What each one does/doesn’t do
      • When to use each one
    • What to include when prompting Copilot
    • Copilot security framework
      • How data is used
      • The different data controls that are in place
      • How data protection works, different data protection capabilities & using them
      • Removing data & prompts from Copilot,
    • Copilot capabilities in Microsoft Word
    • Copilot capabilities in Microsoft Excel
    • Copilot capabilities in Microsoft Outlook
    • Copilot capabilities in Microsoft PowerPoint
    • Copilot capabilities for Teams
      • Using Copilot within Teams for queries
      • Using Copilot within Teams for meetings (preparing for them, during the meeting, after the meeting)
    • Collaboration with Copilot report outputs
    • Copilot Researcher agent – getting access, capabilities & use cases, inputs & outputs
    • Copilot Analyst agent – getting access, capabilities & use cases, inputs & outputs
    • Using custom instructions within Copilot – how to do this, how it is used/applied, etc
    • Using documents with Copilot for answers & generating material. Updating new versions of documents, and how Copilot will behave
    • Microsoft 365 agents – creating, configuring, sharing, security etc
    • Creating, sharing & scheduling prompts, including limitationsent

    I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

    Exam AB-100: Agentic AI Business Solutions Architect

    It’s always interesting when Microsoft release a new type of exam, especially when it’s not tied to specific functionality, but rather to an overall approach. The AB-100 exam (don’t pay too much attention to the ‘100’ designator, in my opinion) follows the approach that we’re seeing Microsoft taking – needing to use technology (& here, specifically AI in technology) holistically across multiple solution.

    I took the exam in Beta as soon as it launched, though due to preparing for the Power Platform Community Conference (which I’m currently writing this at), it’s taken a bit of time to get this blog post up and published.

    As an architect, AI isn’t new to us – we know of multiple different capabilities (spanning Microsoft 365, Copilot Studio & Azure AI Foundry), which we need to use appropriately to handle customer scenarios. AI isn’t new to exams either – there are multiple Azure exams with AI in them, we have multiple Business Application exams with Copilot Studio in them, etc.

    However, exams to date focus on a specific part of the technology stack. For example, the PL-600 focused on Power Platform & Dynamics 365 Customer Engagement. The MB-700 focused on Dynamics 365 Finance & Operations, and so on and so forth.

    This new exam is somewhat of a paradigm shift – needing to understand AI holistically as an architect across multiple parts of the technology stack, what & how it’s used for and where, etc. This is most definitely a new approach, and it will be interesting to see how it users react to it.

    Truthfully, having taken it, I’d personally say that it feels a bit more like an enterprise architect exam approach (which also doesn’t exist in the Microsoft stack), albeit focused around Business Applications. Given the way in which Microsoft partners have specialists in each technology part of the stack, it will be interesting to see if this approach will pivot the way in which people are trained/skilled, and deliver projects. I think that there’s likely to be a lot of feedback to Microsoft that it’s not the way that the partner landscape currently works – though perhaps Microsoft is specifically trying to influence this itself to change. Only time will tell…

    The overall information for the exam can be found at Microsoft Certified: Agentic AI Business Solutions Architect (beta) – Certifications | Microsoft Learn, though there is NO learning path that’s been created (at the time of writing). I think that this is because Microsoft may want to see the reaction to this new approach, and pivot appropriately, rather than needing to create a lot of content that may potentially need to be re-done.

    The official description of the exam can be found at the link above (it’s too long to post here), so please go take a look!

    So, as I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change for when it comes out of beta.

    I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

    • Business usage of AI
      • Different agents usage and results
      • How to use appropriately for business/agent analysis
      • Different types of metrics and results
      • Best practices for building Copilot Studio agents, and using Copilot Studio agents
      • Looking at the ROI for using Copilot Studio agents
      • Designing the usage of different AI and agent capabilities for business needs
    • Building agents
      • What Copilot Studio agents need to work
      • Data types that agents can use
      • Data sources that agents can use
      • Use of knowledge sources for agents
      • Usage of custom connectors
      • Handling token usage with Azure AI Foundry
      • How to handle testing for Copilot Studio agents
      • Different testing types & approaches
      • Extending Microsoft 365 Copilot
      • Using Power Automate with Copilot Studio agents
      • Speech to Text/Text to Speech
      • Handing conversation to live customer service representative using Dynamics 365 Contact Centre
      • Using RPA within an agent
    • Models
      • Different types of models that could be used within Azure AI Foundry
      • Orchestration
      • Improving performance
    • Security
      • How to handle Copilot Studio security
      • Governance & compliance tooling (eg Purview)
      • Handling/restricting connectors for Copilot Studio agents
      • Ensuring user security when using agents (ie not able to retrieve data that the user cannot access directly)
    • Reporting
      • Monitoring tools for Copilot Studio agents
      • Metrics, usage & analytics for Copilot Studio agents
      • Investigating Copilot Studio agent transcripts
      • Monitoring tools for Azure AI models
      • Evaluating Azure AI Foundry model outputs
    • Application Lifecyle Management
      • Focusing on AI Agents for Dynamics 365 CE, Finance & Operations, and Power Platform
      • How/what components to use and include
      • What tooling to use for ALM

    Overall, the exam seemed to me to be pretty decent – I was worried that it would focus just on Copilot Studio, with not much else in it, but there’s a good balance across other AI capabilities as well.

    The big change, for me at least, were the questions around Dynamics 365 Finance and Operations – this isn’t an area that I’m an expert in generally, and most definitely not for AI tooling. I think that this, as I mention above, is what may get the biggest pushback/feedback into Microsoft.

    I’m going to be quite interested in seeing how the exam is actually launched (as it’s currently in Beta of course). Having chatted with a few others who have taken the exam (whilst obviously respecting the NDA!), they also think that this is an approach pivot from Microsoft, and are wondering about the real world application of it.

    I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

    MB-280: Microsoft Dynamics 365 Customer Experience Analyst

    It’s been a while since taking a Microsoft certification exam, but with the new MB-280 exam being launched in the last few days, I’ve obviously needed to take a look at it! It felt a little strange, as I’m now used to the certification renewal process (which is why I haven’t taken any exams in a while), but thankfully things went alright with the overall exam.

    For those who haven’t been following the news, Microsoft made an announcement a few months back that some exams would be retiring, and the new MB-280 exam would be the replacement for this. In short, this is supposed to replace the MB-210 (Sales), MB-220 (Customer Insights – Journeys) & MB-260 (Customer Insights – Data). Malin Martnes wrote a good blog post in June – I’d suggest to take a look at it at for more general information around it.

    Now I’m all up for new certifications being created & made available. However, and I know this could be considered controversial, I have ABSOLUTELY NO IDEA as to why this exam was created in THIS specific way. If an exam had been created, for example, to bring together the two sides of Customer Insights (ie to cover both Data & Journeys in a single exam), I think that would have been quite good.

    But with having taken this, my thoughts (& feedback to Microsoft directly) is that they should un-deprecate (if that’s a word/phrase?) the MB-210 exam, and continue it forward. There’s no reason that I can see having Marketing & Sales together in a single exam – it feels like two (or technically 3?) lego bricks lumped together without any rhyme or reason.

    The learning path for the exam was also launched in the last few days, and can be found at Study guide for Exam MB-280: Microsoft Dynamics 365 Customer Experience Analyst | Microsoft Learn

    The official description of the exam is:

    As a candidate for this exam, you’re a Microsoft Dynamics 365 customer experience analyst who has:

    • Participated in or plans to participate in Dynamics 365 Sales implementations.
    • An understanding of an organization’s sales process.
    • An understanding of the seller’s perspective (user experience).
    • The ability to demonstrate Dynamics 365 Customer Insights – Data and Customer Insights – Journeys capabilities.

    You’re responsible for configuring, customizing, and expanding the functionality of Dynamics 365 Sales to create business solutions that support, automate, and accelerate the company’s sales process. You use your knowledge of customer experience capabilities in Dynamics 365 Sales and Microsoft Power Platform to inform the following design and implementation tasks:

    • Configure Dynamics 365 Sales standard and premium features.
    • Implement collaboration features.
    • Configure the security model.
    • Perform Dynamics 365 Sales customizations.
    • Extend Dynamics 365 Sales with Microsoft Power Platform.
    • Deploy the Dynamics 365 App for Outlook.

    As a candidate, you need:

    • An understanding of the Dataverse security model and features, including business units, security roles, and row ownership and sharing.
    • Experience configuring model-driven apps in Microsoft Power Apps.
    • An understanding of accounts, contacts, and activities.
    • An understanding of leads and opportunities.
    • An understanding of the components of model-driven apps, including forms, views, charts, and dashboards.
    • An understanding of model-driven app personal settings.
    • Experience working with Dataverse solutions.
    • An understanding of Dataverse, including tables, columns, and relationships.
    • Familiarity with Power Automate cloud flow concepts, such as connectors, triggers, and actions.

    More can be found at the exam page itself, which is located at Exam MB-280: Microsoft Dynamics 365 Customer Experience Analyst (beta) – Certifications | Microsoft Learn

    Now during my exam, I was looking forward to seeing the ‘new’ capability around being able to use Microsoft Learn during the exam (new to me – as I haven’t taken any other exams in the last year or so since it was announced!). However there didn’t seem to be any capability to launch Microsoft Learn – I’m not sure why it wasn’t available, as this isn’t a Fundamental level exam

    Questions also used the older terms of references rather than the newer/accepted terms – ie using ‘field’ instead of ‘column’, and ‘entity’ instead of ‘table’. Again, I have no idea why this is – all other exams (including the renewals for them) are using these properly (in my summary below I have ensured I use the correct terms).

    So, as I’ve posted before around my exam experiences, it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else!). It’s also in beta at the moment, which means that things can obviously change.

    I’ve tried to group things as best together as I feel (in my recollection), to make it easier to revise.

    • Sales Apps
      • Configuring forms, columns & tables
      • Configuring security roles & access to records
      • Configuring relationships between records (including deletion properties)
      • Sales Mobile App – security & deployment
      • Forecasting – setting up & configuring
      • Configuring Goals
      • Configuring Opportunities
      • Handling currencies
    • Copilot for Sales
      • Setting up & deploying to users
      • Configuring access
    • Outlook App
      • Deploying & setting up
      • Configuring forms & information
    • Exchange
      • Connecting to mailboxes
      • Configuring folder permissions
      • Configuring multiple domains
    • Product Families & Catalogue
      • Creating & setting up
      • Configuring options
      • Adding items to be used
    • Price Lists
      • Creating & setting up
      • Configuring options, including discounts
      • Using time-restricted price lists
      • Handling currencies
    • Document Management
      • Different document management capabilities
      • Usage of SharePoint in different ways
    • Data Import
      • Usage of Power Query
      • Data manipulation
      • Handling duplicate records
    • SMS
      • Setting up & configuring SMS provider
    • Journeys
      • Different triggers to use based on scenarios & requirements
      • How to trigger journeys
      • How to set up emails to be used within a journey
    • Segments
      • Different types of segments
      • Creating & modifying segments
    • Searching/Filtering
      • Using Advanced Find
      • Setting up/modifying queries to include/exclude records based on conditions
    • Business Process Flows
      • Modifying business process flows
      • Handling conditions within business process flows

    As a Sales exam, it seemed alright. But as mentioned above, the Customer Insights questions just seemed strange to me – I’d expect a consultant to be very technically skilled in Customer Insights, but not in Sales (& vice versa), so I’m not understanding bringing these two sides together.

    I’m going to be quite interested in seeing how the exam is actually launched (as it’s currently in Beta of course). Having chatted with a few others who have taken the exam (whilst obviously respecting the NDA!), they also can’t really understand the landscape. Personally, I think that if it continues like this, Microsoft is going to hear quite a few complaints around it.

    I hope that this is helpful for anyone who’s thinking of taking it – good luck, and please do drop a comment below to let me know how you found it! I’d also be interested in your thoughts/opinions around the direction that Microsoft has taken for this!

    PL-500: Microsoft Power Automate RPA Developer

    RPA (or Robotic Process Automation) is a capability that Microsoft has been developing for a while within the Power Platform space. Whilst cloud flows can be used to interact with any systems that has an API in place, many organisations have (legacy) systems that have no API, so interacting with them can be challengin. RPA capabilities allow organisations to be able to interact with any system overall, thereby enabling & empowering businesses holistically.

    I’ve been aware for a while that there’s been an exam coming out for RPA, though it’s taken a bit of time to land. That’s fine though – I can’t really think of any absolute rush to have it in place. I do think that over time, just as with some of the other certifications, it will become a required for solution or specialisation status.

    The official page for it is at https://docs.microsoft.com/en-us/certifications/exams/pl-500. The specification for it is:

    Candidates for this exam automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions.

    Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions.

    Additionally, candidates should have experience with JSON, cloud flows and desktop flows, integrating solutions with REST and SOAP services, analyzing data by using Microsoft Excel, VBScript, Visual Basic for Applications (VBA), HTML, JavaScript, one or more programming languages, and the Microsoft Power Platform suite of tools (AI Builder, Power Apps, Dataverse, and Power Virtual Agents).

    Now here’s the thing. I occasionally work in the automation space, either on customer projects, or when training users in the technologies. I wouldn’t describe myself as an advanced automation developer (whether cloud or RPA capabilities). I’m most definitely NOWHERE near the level of legends such as Matt Collins-Jones, for example (go check him out if you don’t know about him!).

    So I knew that I may be a bit challenged when taking the exam, especially in the more ‘pro dev’ space (aka JSON etc). In fact, I didn’t actually realise that the exam specification included that sort of thing. I know, I should have – it’s aimed at developers overall…shows that I need to brush up on reading things properly!

    Also, there’s still quite a bit of a focus on Power Automate cloud flows – it’s not JUST about RPA capabilities.

    Now, really nicely, there are already Microsoft Learn pathways available (which have been around for a while, and updated appropriately). This really is a big help, I feel, especially for people who are new’ish to RPA.

    Of course, there’s a lovely shiny two star badge awarded when passing the exam, along with the title of ‘Microsoft Certified: Power Automate RPA Developer Associate’:

    As with previous exams, I sat it from home (the proctored experience). Learning from previous times that I’ve taken exams, I ensured that my workspace was entirely clear from everything. As a result, the check-in process happened automatically, and I didn’t need to engage with any proctors at all (which was quite nice actually).

    As in my previous exam posts, I’m going to stress that it’s not permitted to share any of the exam questions. This is in the rules/acceptance for taking the exam. I’ve therefore put an overview of the sorts of questions that came up during my exam. (Note: exams are composed from question banks, so there could be many things that weren’t included in my exam, but could be included for someone else! ). I’ve tried to group things together as best as possible for the different subject areas.

    • Cloud flows vs RPA flows
      • Capabilities of each
      • When to use each (ie how to handle different scenarios)
      • How to trigger each one
    • Cloud flows
      • Different types of triggers, & when each type should be used
      • Different types of actions, and the capabilities of them (at a high’ish level – expected to know common Microsoft actions, but not need to know all of the hundreds of different ones!)
      • Controls/operators. What they are, how they can be used to accomplish different requirements
      • JSON formatting & syntax
    • Business Process flow vs Business Rules
      • What each is
      • When to use each one
      • Capabilities
    • RPA flows
      • Common actions, how they work, capabilities of them
      • How expression syntax works within them
      • Debugging capabilities, and what to use when
      • How to interact with desktop applications
      • How to interact with websites
        • How data values can be used
        • How data tables can be used
        • How to use data that’s extracted from a website
      • Troubleshooting functionality
    • Usage of automation capabilities from Office 365 applications such as Excel & Visio
    • Loops
      • How they work for cloud & RPA flows
      • Troubleshooting
      • Implementing success/fail criteria
      • Error handling
    • Process Advisor
      • What it is
      • What it does
      • How it can help organisations
      • Limitations
      • What it cannot do
      • Process Mining vs Task Mining, & the important differences between them
    • Variables
      • How to handle variables across different environments
      • How to declare them (cloud flow vs RPA flow)
    • Runtime operations
      • How flows are triggered (async vs sync)
      • How flows are queued (cloud vs RPA)
      • How RPA flows are carried out when using machine groups
    • Artificial Intelligence (AI) capabilities
      • How AI can be used within flows
      • Different AI capability types (what each one can be used for)
      • AI within Power Platform, & AI within Azure Cognitive Services
    • Sharing flows
      • Different ways to share cloud flows
      • Different ways to share RPA flows
    • Application Lifecycle Management (ALM)
      • Solutions (managed vs unmanaged). Capabilities of each, when to use each type
      • AzureDevOps (ADO). What it is, when/how to use it, capabilities
      • Solution imports
      • Solution layers. What these are, troubleshooting functionality
      • Upgrade/Stage for Upgrade/Update. Which each is, what each does, how/when to use each one
      • Moving desktop flows between users
    • Security
      • Security roles needed to create
      • Security roles needed to share/modify
      • Security roles needed to register machine for RPA
      • Security roles needed to register machine groups for RPA
      • Security requirements to run different types of RPA flows (how it interacts with desktop/s)
      • Data Loss Prevention (DLP) – how it affects creation & runtime of flows

    Overall, I had 46 questions, with a single case study. I’m used to having at least two case studies, so it was nice to have just one of them this time.

    So….it’s a lot of stuff. Definitely targeted much more at the ‘pro-developer’ end of the scale that someone who might occasionally automate things. It’s absolutely necessary to understand coding conventions, ALM, etc.

    It’s definitely an exam that if you’re not already currently hands-on with the skills needed, I’d highly recommend you get a decent amount of experience with it before taking the exam! I’d highly recommend ensuring that you have an environment in which you’re able to be hands on with all types of automation (cloud & desktop flows), and really understand how they can be handled with an eye on the enterprise scale!

    If you’re aiming to take it – I wish you the very best of luck, and let me know your experience!

    Recognition as Microsoft Partner for Business Application Solutions

    It’s been a little while since I’ve previously blogged around developing customer solutions and the Microsoft Specialisations. Since I spoke about it last year (Apps & Microsoft Partner Specialisations) the landscape has moved on a little, and I thought that it would be good to take a look again at it.

    Currently in the Business Applications space, there’s a single specialisation. This is the ‘Microsoft Low Code Application Development Advanced Specialisation’, which is covered in detail at the Microsoft page for it (Microsoft Low Code Application Development Advanced Specialization).

    In essence, this specialisation is aimed at partners who are developing Power Apps (yes, this is specifically aimed at Power Apps), and has been around for a year or so.

    In order for Microsoft to track the qualifying metrics against this specialisation, it’s very important to carry out the PAL (Partner Attach Link) process. The details of how to do this is in my earlier post, which includes some of my thoughts at the time around how a partner should best implement the procedure.

    Since then, my blog post has gained a good amount of traction, and several Microsoft partners have engaged with me directly to understand this better, and to implement the process into their project playbook. I’m really delighted at having been able to help others understand the process, and the reasoning behind it.

    Now that’s all good for a partner who is staying in place at a customer. However there are multiple scenarios that can differ from this. Examples of this are:

    1. Multiple partners developing a single application together
    2. One partner handing over the application to a second partner for further development
    3. One partner implementing a solution, with a second partner providing support

    Now, there’s really a single answer to all of the above scenarios, but it’s a matter of how to go about implementing this properly. Let me explain.

    Originally, all developers would register PAL, and this would then be tracked through the environment cadence, and associated appropriately to the partner. This would be from the developers having been the creators of the apps.

    This has now changed a little bit. Microsoft now recognises the capabilities of PAL using both the Owner of the app, as well as any Co-Owners of the app. This is a little more subtle, so let’s explain this in some detail.

    It is possible, of course, to change the owner of an app. More commonly, however, is the practice of adding co-owner/s to an app (I always recommend this as best practice actually, to remove key-person responsibility risks).

    Note: Changing the actual owner of an app requires the usage of a PowerShell command

    So what happens now is that Microsoft will track the owners/co-owners of any app that’s deployed, and PAL association will flow through this. But there are a couple of caveats which it’s important to be very aware of!

    1. All owners/co-owners must have registered PAL with their user accounts (if using a service principal/service account as an owner, there’s a way of doing this using PowerShell)
    2. Microsoft will recognise the LATEST owner/co-owner association with the app as the partner organisation that will receive PAL recognition

    Now if a customer adds co-owners to an app, this shouldn’t be an issue (as none of the users would have registered PAL). But if there are multiple partners in place, ONLY THE LATEST ONE WILL BE RECOGNISED.

    Therefore to take the three scenarios above, let’s see how this would apply.

    1. Multiple partners developing a single app. Recognition would not work for all partners involved, just the latest one to associate with the app
    2. Partner 1 handing over app to Partner 2. Recognition would stop for Partner 1, and would then start for Partner 2
    3. Partner 1 implementing solution, Partner 2 providing support. Care would need to be taken that the appropriate partner is associated as owner/co-owner to the app, for PAL recognition.

    It’s also important for both partners & customers to understand this, in the wider context of being careful about app ownership, and the recognition that it brings from Microsoft for partners delivering solutions. If a partner would go into a customer, and suddenly start taking ownership of apps that it’s not involved in, I don’t think that Microsoft would be very approving of it.

    Now, all of the above is in relation to Power Apps specifically, as I’ve noted. However, the PAL article was updated last week (located at Link a partner ID to your Power Platform and Dynamics Customer Insights accounts with your Azure credentials | Microsoft Docs) and also interestingly talks about:

    Note the differences between each item

    Reading between the lines here, I think that we’re going to be seeing more advanced specialisations coming out at some point. Either that, or else partner status will be including these as well, as I can’t think of any other reason why PAL would need to be tracked for these as well! I’m also wondering if other capabilities (eg Power Virtual Agents, Power Pages, etc) will be added at some point as well…

    Have you had any challenges with the PAL process? Is there anything more you’d like to find out about it? Drop a comment below, and I’ll do my best to respond!