OneDrive for macOS documentation issue. DefaultFolder plist example is missing array wrapper
Hi everyone, The Microsoft Learn documentation for configuring the OneDrive sync app on macOS currently contains an incorrect plist example for the DefaultFolderLocation setting. Documentation page: https://learn.microsoft.com/en-us/sharepoint/deploy-and-configure-on-macos#defaultfolderlocation In the “DefaultFolderLocation” section, the current plist example shows the DefaultFolder key as a dictionary: <key>DefaultFolder</key> <dict> <key>Path</key> <string>(DefaultFolderPath)</string> <key>TenantId</key> <string>(TenantID)</string> </dict> This format does not work correctly when deployed as a managed preference/configuration profile. The setting starts working when the DefaultFolder dictionary is wrapped in an array, like this: <key>DefaultFolder</key> <array> <dict> <key>Path</key> <string>(DefaultFolderPath)</string> <key>TenantId</key> <string>(TenantID)</string> </dict> </array> Please update the Microsoft Learn documentation to include the array wrapper in the DefaultFolder plist example. The current Microsoft Learn example is confusing because administrators may deploy the documented plist exactly as shown, but the setting does not appear to work correctly until the array wrapper is added.
Access issue with Copilot Studio in Microsoft Learn Applied Skills lab
Hello Microsoft Community, I am currently working on the Microsoft Learn Applied Skills exercise: “Create your customer service agent” using Copilot Studio. When attempting to sign in, I am using my personal Gmail account. However, I receive an error stating that personal Microsoft accounts are not supported, and I am unable to proceed with the lab. Is a Microsoft Entra ID work/school account required to access Copilot Studio for this exercise? Thanks in advance.
Passed Microsoft Applied Skills: Developing Agents in Microsoft Foundry
I recently completed the Microsoft Applied Skills: Get Started Developing Agents in Microsoft Foundry credential. It was a great hands-on experience with Azure AI Foundry, including deploying models, building AI agents, using Code Interpreter, and publishing an agent. If you're interested in Azure AI or Generative AI, these official Microsoft resources are a great place to start: 🔹 Microsoft Copilot https://learn.microsoft.com/copilot?wt.mc_id=studentamb_530495 🔹 Azure AI Foundry https://azure.microsoft.com/products/ai-foundry?wt.mc_id=studentamb_530495 🔹 Azure for Students https://azure.microsoft.com/free/students?wt.mc_id=studentamb_530495 🔹 Azure Free Account https://azure.microsoft.com/free?wt.mc_id=studentamb_530495 🔹 Microsoft Learn – Azure AI Training https://learn.microsoft.com/training/azure-ai/?wt.mc_id=studentamb_530495 A small request: I'm currently working toward the Microsoft Learn Student Ambassadors Community Influencer requirements. If any of these resources are relevant to you, I'd genuinely appreciate you taking a look. I hope you discover something useful for your own learning journey as well. Thank you, and happy learning!
MD-102 Practice Test Does Not Prepare You for the Actual Exam + Poor Support Links
The following was edited by Copilot but is actually my own personal experience and I have read through it and found it accurate to what I wrote for it to edit to a better format: I’m posting this here because I was unable to successfully submit this feedback through the official Microsoft Credentials support channels (links either redirected to Azure support or returned a 404 error). I recently prepared for the MD-102 Endpoint Administrator certification using the official Microsoft Learn modules and the associated Practice Assessment. Based on my performance with those materials, I felt reasonably prepared going into the exam. However, the actual exam experience was significantly different from the Practice Assessment. Issue The Microsoft Learn Practice Assessment primarily uses straightforward, single-concept multiple-choice questions. In contrast, the actual MD-102 exam includes: Multi-step, scenario-based questions Questions requiring evaluation of multiple valid solutions “Best answer” decisions involving trade-offs (not just correctness) These are fundamentally different question styles and require different types of preparation. Impact This mismatch creates a false sense of readiness. Candidates who rely on official Microsoft Learn materials—including the Practice Assessment—may believe they are adequately prepared, but encounter a much more complex and different exam experience. In my case, this gap was a major factor in not passing the exam despite completing the recommended preparation resources. Additional Concern I attempted to submit this feedback through the official Microsoft Credentials support links, but encountered issues: Redirects to Azure “Support for Business” instead of certification support (https://learn.microsoft.com/credentials/support/help) Credentials support page returning a 404 error (https://learn.microsoft.com/credentials/support/) No visible feedback mechanism on the Practice Assessment page itself (https://learn.microsoft.com/en-us/credentials/certifications/modern-desktop/practice/assessment) This makes it difficult to report issues with certification preparation materials through the intended channels. Suggestions To improve the effectiveness of Microsoft Learn as an exam preparation tool: Clearly indicate that Practice Assessments are not representative of actual exam format or difficulty AND Update Practice Assessments to include: Scenario-based questions Multi-step decision questions “Best solution” style problems Provide a full-length mock exam that more closely reflects the real exam experience Add a visible feedback option directly on Practice Assessment pages Fix routing issues with Credentials support links I’m sharing this because I suspect others may run into the same issue when relying on official preparation materials.Great Way to Start with Deep Learning: Introducing PyTorch Courses on Microsoft Learn
Deep Learning is one of the most popular topics amongst both students and software developers. We have recently released a learning path on Microsoft Learn that will help you get started with Deep Learning, based on one of the most popular frameworks: PyTorch.A Helpful AI-Powered Learning Experience I Found While Preparing for PL-400 within Microsoft Learn
While preparing for the PL-400 (Microsoft Power Platform Developer) exam, I discovered a very useful learning feature in some Microsoft Learn modules. In a few modules, the Module Assessment appears to include AI-generated questions. What I found particularly helpful is that when I answered a question incorrectly and retook the assessment, Microsoft Learn didn't just generate completely new questions. Instead, it often brought back the concepts I had previously answered incorrectly while also introducing new questions. This approach helped me reinforce weak areas and better understand the module content rather than simply memorizing answers. It felt more like adaptive learning, where the assessment focuses on concepts that need more attention. Also, if you find this AI-generated learning experience helpful, consider using the "Provide feedback about AI-generated content" option available in Microsoft Learn. Sharing feedback can help Microsoft continue improving these learning experiences for certification candidates. Has anyone else noticed this behavior in Microsoft Learn assessments? I'd be interested to hear whether you've had a similar experience while preparing for Microsoft certifications.
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.Model Mondays S2:E4 Understanding AI Developer Experiences with Leo Yao
This week in Model Mondays, we put the spotlight on the AI Toolkit for Visual Studio Code - and explore the tools and workflows that make building generative AI apps and agents easier for developers. Read on for my recap. This post was generated with AI help and human revision & review. To learn more about our motivation and workflows, please refer to this document in our website. About Model Mondays Model Mondays is a weekly series designed to help you grow your Azure AI Foundry Model IQ step by step. Each week includes: 5-Minute Highlights – Quick news and updates about Azure AI models and tools on Monday 15-Minute Spotlight – Deep dive into a key model, protocol, or feature on Monday 30-Minute AMA on Friday – Live Q&A with subject matter experts from the Monday livestream If you're looking to grow your skills with the latest in AI model development, this series is a great place to begin. Useful links: Register for upcoming livestreams Watch past episodes Join the AMA on AI Developer Experiences Visit the Model Mondays forum Spotlight On: AI Developer Experiences 1. What is this topic and why is it important? AI Developer Experiences focus on making the process of building, testing, and deploying AI models as efficient as possible. With the right tools—such as the AI Toolkit and Azure AI Foundry extensions for Visual Studio Code—developers can eliminate unnecessary friction and focus on innovation. This is essential for accelerating the real-world impact of generative AI. 2. What is one key takeaway from the episode? The integration of Azure AI Foundry with Visual Studio Code allows developers to manage models, run experiments, and deploy applications directly from their preferred development environment. This unified workflow enhances productivity and simplifies the AI development lifecycle. 3. How can I get started? Here are a few resources to explore: Install the AI Toolkit for VS Code Explore Azure AI Foundry Documentation Join the Microsoft Tech Community to follow and contribute to discussions 4. What’s New in Azure AI Foundry? Azure AI Foundry continues to evolve to meet developer needs with more power, flexibility, and productivity. Here are some of the latest updates highlighted in this week’s episode: AI Toolkit for Visual Studio Code Now with deeper integration, allowing developers to manage models, run experiments, and deploy applications directly within their editor—streamlining the entire workflow. Prompt Shields Enhanced security capabilities designed to protect generative AI applications from prompt injection and unsafe content, improving reliability in production environments. Model Router A new intelligent routing system that dynamically directs model requests to the most suitable model available—enhancing performance and efficiency at scale. Expanded Model Catalog The catalog now includes more open-source and proprietary models, featuring the latest from Hugging Face, OpenAI, and other leading providers. Improved Documentation and Sample Projects Newly added guides and ready-to-use examples to help developers get started faster, understand workflows, and build confidently. My A-Ha Moment Before watching this episode, setting up an AI development environment always felt like a challenge. There were so many moving parts—configurations, integrations, and dependencies—that it was hard to know where to begin. Seeing the AI Toolkit in action inside Visual Studio Code changed everything for me. It was a realization moment: “That’s it? I can explore models, test prompts, and deploy apps—without ever leaving my editor?” This episode made it clear that building with AI doesn’t have to be complex or intimidating. With the right tools, experimentation becomes faster and far more enjoyable. Now, I’m genuinely excited to build, test, and explore new generative AI solutions because the process finally feels accessible. Coming Up Next Week In the next episode, we’ll be exploring Fine-Tuning and Distillation with Dave Voutila. This session will focus on how to adapt Azure OpenAI models to your unique use cases and apply best practices for efficient knowledge transfer. Register here to reserve your spot and be part of the conversation. Join the Community Building in AI is better when we do it together. That’s why the Azure AI Developer Community exists—to support your journey and provide resources every step of the way. Join the Discord for real-time discussions, events, and peer learning Explore the Forum to catch up on AMAs, ask questions, and connect with other developers About Me I'm Sharda, a Gold Microsoft Learn Student Ambassador passionate about cloud technologies and artificial intelligence. I enjoy learning, building, and helping others grow in tech. Connect with me: LinkedIn GitHub Dev.to Microsoft Tech Community
PL‑300 Exam Revoked After Official Break — Urgent Escalation | TrackingID#2603050050003216
Hello, I first contacted OnVUE, and they immediately revoked my PL‑300 exam. Microsoft later confirmed the revocation for this reason: “unauthorized interruption (unscheduled break) and leaving the exam environment.” However, I used an official Microsoft‑authorized unscheduled break by clicking “Take a Break”, exactly as documented for the PL‑300 exam. I still had 40 minutes remaining and 6 case‑study questions left. It is 2026, yet there is still a major contradiction between: Microsoft’s rules (which allow official breaks), and OnPersonVUE’s enforcement (which treats them as violations). Which rules should candidates follow? Also, on Liberty Munson’s official announcement: https://techcommunity.microsoft.com/blog/skills-hub-blog/unscheduled-breaks-now-available-in-most-exams-without-requesting-in-advance/3287005 several candidates reported the exact same issue, and Microsoft granted them a free retake. Why not me? I request: review by a higher‑level Microsoft Certification authority; confirmation whether Liberty Munson’s guidelines are still valid; and, if so, the free retake I am entitled to under Microsoft policy. Please act quickly — my career depends on this certification. MC TrackingID#2603050050003216 candidate id: MS1101060667 registration id: 528982313
