PL-900 Practice Test (Microsoft Power Platform Fundamentals)

Based on the exam domains covered in the PL-900 practice test, here's a summary of what you need to focus on for each domain to prepare for the Microsoft Power Platform Fundamentals Associate exam:

1. Describe the business value of Microsoft Power Platform (this is usually a broader knowledge question that tests your understanding of why Power Platform is valuable in a business context):

   • Understand the benefits of Power Apps, Power Automate, Power BI, and Power Virtual Agents in improving productivity, automating workflows, creating custom applications, gaining insights from data, and automating AI-powered chatbots.

2. Identify key components and features of Microsoft Power Platform (this involves knowing the specific tools and capabilities within Power Platform):

   • Know the different types of apps in Power Apps (Canvas vs. Model-driven), the types of flows in Power Automate, the components of Power BI, and the elements of Power Virtual Agents.

3. Build solutions using Microsoft Power Platform (this requires hands-on experience with Power Platform):

   • Be able to create a simple app using either Canvas or Model-driven app builder, design an automated flow in Power Automate, create dashboards and reports in Power BI, and set up basic AI components in Power Virtual Agents.

4. Implement complementary solutions (this involves understanding how Power Platform integrates with other Microsoft products):

   • Know the capabilities of Power Pages, how AI Builder can be used to enhance chatbots and applications with intelligent capabilities like text analytics and image classification, and understand the use cases for different components within Power Platform.

5. Configure and secure Microsoft Power Platform (this includes understanding governance, security, and administration):

   • Be aware of how to manage lifecycle management, governance, compliance, and security for your Power Platform solutions.

6. Understand the capabilities of Microsoft Power Apps, Power Automate, Power BI, and Power Virtual Agents (this involves detailed knowledge of each component):

   • Know the use cases, features, and limitations of these components, as well as how they can be combined for more powerful solutions.

7. Demonstrate knowledge of AI Builder capabilities (this is about understanding AI Builder's role within Power Platform):

   • Be familiar with the different models available in AI Builder (such as Business Center, Content Moderator, Content Understanding, Data Integration, Text Analytics, and Image Labeler) and be able to explain how they can be leveraged in business scenarios.

8. Understand the data platform of Microsoft Power Platform (this involves understanding how data is managed within Power Platform):

   • Know how data from various sources like Common Data Service (CDS), SharePoint, Excel, and other data services can be integrated and managed for use in your Power Platform applications and solutions.

9. Understand the role of Microsoft Dataverse (this is about knowing the underlying database that powers Model-driven apps):

   • Understand how Microsoft Dataverse serves as a platform for building rich, data-driven apps and services that connect to existing systems and line-of-business data.

10. Understand the architecture of Microsoft Power Platform (this is about knowing how all the components fit together):

    • Be able to explain how Power Apps, Power Automate, Power BI, Power Virtual Agents, AI Builder, and Dataverse work together to create a cohesive and powerful suite of business tools.

Remember that the exam may include scenario-based questions where you need to apply your knowledge of Power Platform to solve business problems. It's also important to stay up-to-date with any updates or changes in the platform, as Microsoft frequently releases new features and functionalities. Use the official documentation, practice exams, and hands-on experience to solidify your understanding of each component and its role within the broader Power Platform ecosystem.