Struggling with Microsoft Applied Skills: Create agents in Microsoft Copilot Studio
Hi all, I'm struggling trying to pass the https://learn.microsoft.com/en-us/credentials/applied-skills/create-agents-in-microsoft-copilot-studio that was released recently. I keep getting around 50% percent, with the performance by task failing for: Manage variables and entities Configure nodes but the others as pass. I've done the test twice and not sure what I am doing wrong to be honest. I've gone through the learning path on the certification page as well. I have a feeling I maybe tackling this task wrong but not sure. You need to ensure that when a user interacts with agents, the user receives the following message: This is the agent! Then, the user must be prompted with the following question: What is your employee number? The user must be able to enter their employee number into a text field, and the employee number must be saved to a variable named employeeNumber. The employeeNumber variable must be available for topic switching. Next, you must confirm employeeNumber by asking the following yes/no question by using the Multiple choice options entity: Can you confirm that your employee number is {employeeNumber}? If the user selects No, the conversation must end. If the user selects Yes, the User. Language system variable must be set to English. Here is what logic I'm applying: Go to Topics: System -> Conversation Start -> Edit (Assumed this is the correct way due to the scenario asking for "when a user interacts with agents" rather then creating a new topic for this) Clear out the original node and replace with a message node saying "This is the agent!" Create a question node following on asking "What is your employee number?" in the text message box. Put the entity as Number (In my first attempt I did this as a text string which was set to gather user's response) Update Save User response box to Variable Number renamed to employeeNumber and updating that variable to be global, so overall name is Global.employeeNumber Create a question node following on asking Can you confirm that your employee number is {Global.employeeNumber}? in the text box. Setting the Entity field to be Multiple choice options and updating options for user to be No & Yes Save user response as Var1 (choice) Create two condition nodes to follow: For No Var1 is equal to No Follow on Node is End Conversation For Yes Var1 is equal to Yes Follow on Node is Set a variable Value -> Set Variable field configure to System.User.Language , To Value configure to English from the drop down list that appear. *End of Task* Is anyone able to advise further what I am doing wrong?
Lost my courses and level progress on my learn profile
Does anyone know how I can contact Microsoft about my learn account? I tried to log on using my work laptop and my profile has been reset back to 0. I've lost all of my achievements and learning path progress. I've had a look around for support but can't find anything that will help.
Request to merge multiple Microsoft Learn certification IDs
Hello Microsoft Learn Support Team, I was advised by Pearson VUE and Microsoft Support to contact Microsoft Learn to request merging of my certification profiles. I have paid for the PL-900 exam, but the exam confirmation and status are not visible due to multiple Microsoft Learn IDs. The following Microsoft Learn IDs need to be merged: - ms1100781607 - ms1100998551 - ms1100999029 Kindly help merge these IDs and associate my PL-900 exam correctly. Thank you.
Where to set conditions for icon sets in Excel Online (Conditional Formatting)
I can select icon sets to apply as conditional formatting to a cell. But where on earth does one enter the conditions for the icon set to function in Excel online? What I am able to edit the rule as in this image - I can view the rule and when clicking edit this is all that appears. Where does the condition go? Is this a result of the free online version (license limitation) or am I just not seeing it?
Why should One learn AI ?
One should learn because, Microsoft is deep in the AI race right now — investing heavily, pushing into new product categories, expanding infrastructure, and building tools for both developers and end-users. Here’s a detailed snapshot of where Microsoft is on AI in late-2025, highlighting what they’ve achieved, what they’re working on, what challenges they face, and what it means for users/organizations 1.AI is Now the Core of Microsoft’s Strategy Microsoft isn’t treating AI as an add-on — it’s embedded into everything: Windows Copilot: AI built directly into the OS. Microsoft 365 Copilot: Automates Office apps like Word, Excel, Outlook, and Teams. Azure AI Services: Enterprise-grade infrastructure to build, deploy, and scale AI securely. GitHub Copilot & Azure DevOps: AI-driven development and deployment. Learning AI in Microsoft’s stack means you’re aligning with their long-term direction — it’s where every Microsoft product is headed. 2.Unified Ecosystem for Building & Deploying AI When you learn Microsoft AI, you get exposure to a connected environment that simplifies the AI lifecycle: Stage Microsoft Tools/Platforms Data Ingestion Azure Data Factory, Synapse, Fabric Model Training Azure Machine Learning, Custom Models, Azure AI Foundry Orchestration Azure AI Studio, Logic Apps, Power Automate Deployment Azure Kubernetes Service (AKS), Azure Functions Integration Power Platform, Copilot Studio, Microsoft Graph API You can move from “idea -prototype - enterprise-scale app” without leaving the Microsoft ecosystem. 3.Enterprise-Grade Security & Compliance Microsoft has the most trusted AI compliance posture among hyperscalers: 1000+ security and compliance certifications Responsible AI framework (human oversight, privacy, transparency) Seamless Azure AD / Entra ID integration for secure access If you work with enterprise or gov customers, this is critical — they already rely on Microsoft’s compliance backbone. 4.Massive Career & Business Demand According to recent LinkedIn and IDC reports: 80% of Fortune 500 companies use Azure AI services. “AI + Microsoft Cloud” roles (like AI Engineer, M365 Copilot Admin, Azure AI Specialist) are growing 3x faster than traditional cloud roles. Microsoft certifications (e.g., AI-102, DP-100, AI-900) are among the top-requested by employers. Learning Microsoft AI directly translates to employability and consulting value. 5.Democratized AI — Even for Non-Coders Not everyone needs to be a data scientist: Copilot Studio (Power Platform) → Build custom copilots using natural language. Azure AI Foundry → Build intelligent agents visually. Fabric AI Integration → Analyze data and auto-generate insights in Power BI. Microsoft’s goal is to make AI “as easy as Excel” — so business users can innovate too. 6.Future-Proof Skillset Microsoft is working closely with OpenAI and others to lead in: Agentic AI (autonomous reasoning agents) Multimodal AI (text, image, voice) Edge + Cloud AI (Windows + Azure hybrid AI) Responsible AI governance tools By learning Microsoft AI now, you’re future-proofing yourself for this next generation of AI-native applications.AKS vs Azure Web App – When to Choose Which?
Criteria Azure Kubernetes Service (AKS) Azure Web App ( App Service ) Use Case Microservices, complex distributed apps, container orchestration Simple web apps, APIs, or monolithic workloads Scalability Advanced autoscaling at container/pod level Built-in autoscale for instances Control Full control over networking, security, and runtime Managed platform, limited infrastructure control Complexity Requires Kubernetes expertise Easy to set up and manage CI/CD ntegrates with Azure DevOps/GitHub Actions, flexible pipelines Native CI/CD support with minimal setup Cost Pay for cluster nodes and infra (can be higher for small workloads) Pay per app plan (simpler, often cheaper for small apps) Best For Large-scale, containerized enterprise apps Quick deployments, small-to-medium web apps, APIs Examples Banking microservices, AI inference workloads, enterprise SaaS Company website, REST API, internal dashboards
