
PL-900: Microsoft Power Platform Fundamentals Certification Video Training Course
The complete solution to prepare for for your exam with PL-900: Microsoft Power Platform Fundamentals certification video training course. The PL-900: Microsoft Power Platform Fundamentals certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Microsoft Power Platform PL-900 exam dumps, study guide & practice test questions and answers.
PL-900: Microsoft Power Platform Fundamentals Certification Video Training Course Exam Curriculum
Introduction
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1. Introduction
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2. 1, 2, 3, 4, 5, 6. The business value of Power Platform services
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3. Curriculum
Power BI Desktop - Visualizations
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1. Downloading Power BI Desktop
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2. 40. Identify available types of data sources including Microsoft Excel
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3. Creating our first visualization
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4. 39. Describe and implement aggregate functions
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5. 31. Identify and describe uses for visualization controls - basic types
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6. 31. Identify and describe uses for visualization controls - advanced types
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7. 32. Describe types of filters
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8. 34. Describe uses for custom visuals including charts or controls
Power BI Desktop - Managing Data
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1. Loading queries into the Power Query Editor
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2. Menus in Power Query Editor
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3. 38. Clean and transform data
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4. 37. Combine multiple data sources
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5. 33. Describe the Power BI Desktop Reports, Data, and Model tabs
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6. 43. Design data layout and mapping
Power BI Service
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1. Publishing the Power BI Service
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2. Why do I need a Work email address? And how can I get one, if I don't have it?
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3. A quick look around the Power BI Service
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4. Power BI Terminology
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5. 36. Compare and contrast Power BI Desktop and Power BI Service
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6. 42. Design a Power BI Dashboard
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7. 35, 44. Compare and contrast and publish reports, dashboards and workspaces
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8. 41. Shared datasets and template apps
Installing Power Apps and Environments
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1. 45. Introduction to Power Apps, incl. canvas and model-driven apps
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2. Signing up for PowerApps
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3. Creating our first canvas Power App
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4. 14. Describe Environments
The Dataverse (Common Data Service)
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1. 18. The Power Apps User Experience
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2. 19. Tables
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3. 19, 23. Columns and Relationships, and describing people, places, things
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4. 22. The Common Data Model (CDM)
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5. 21. Cases and Limitations of Business Rules
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6. 20. Solutions
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7. 23a. The Native Dataverse connector
Creating PowerApps canvas app
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1. 49, 51. Templates, including types of data sources and multiple data sources
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2. 26, 50. Connect to data by using connectors, and premium licensing options
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3. 27. Identify use cases for custom connectors
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4. 53. Describe the customer journey
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5. 52. Use controls to design the user experience
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6. 47. Components
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7. 48. Formulas
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8. 54. Publish and share an app
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9. Revert to an earlier version
Building a basic model-driven app
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1. 60. Modify views
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2. 60. Modify forms
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3. Charts and Dashboards
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4. 59. Creating our first model-driven app, incl. adding tables to app navigation
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5. 61. Publish and share an app
Creating PowerApps portal
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1. 55. Provision and create our first portal using the Portal from blank template
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2. 55. Other Portal templates
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3. 56, 58. Describe common portal customizations, including themes
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4. 57. User authentication
Power Automate - connectors, triggers and actions
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1. 24, 62, 63, 64: Introduction, incl. flow types, templates, connectors, triggers
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2. 25, 68, 69, 71, 72: Creating, modifying and running an instant (button) flow
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3. 66, 68: Creating an automated flow template with a condition and expression
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4. 65, 68. Creating a scheduled flow, using an Apply to Each loop
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5. 65, 70. Other flow controls, such as Switch and Do Until
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6. 67. Approvals and Business Processes
Power Virtual Agents
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1. 73, 74, 78. Uses and where you can publish chatbots, creating our first chatbot
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2. 81. Test a chatbot
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3. 75, 77, 80. Topics, entities and actions
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4. Looking at topic conversation flowcharts
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5. 76, 79. Creating a topic, using nodes, conditions, and trigger phrases
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6. 82. Publish a chatbot
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7. 83, 84. Monitor chatbot usage and performance
Other Power Platform Topics
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1. 28, 29, 30. AI Builder
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2. 10a. How Power Platform can consume Azure Cognitive Services
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3. 12. Power Platform Security
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4. 13, 15. Manage apps and users, and where to perform specific admin tasks
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5. 16. Data Loss Prevention (DLP) policies
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6. 17. Privacy and accessibility guidelines
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7. 7. Dynamics 365 and Power Platform
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8. 8, 9. Microsoft 365 and Power Platform
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9. 10, 11. Microsoft Azure, Third-party apps, and Power Platform
About PL-900: Microsoft Power Platform Fundamentals Certification Video Training Course
PL-900: Microsoft Power Platform Fundamentals certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.
PL-900 Study Course: Power Platform Fundamentals Explained
Introduction to the PL-900 Course
The PL-900 certification exam is the entry point into the Microsoft Power Platform. It provides learners with the essential skills to understand, explore, and apply the capabilities of this platform. This course is designed for anyone who wants to gain a strong foundation in Microsoft Power Platform. It offers a clear learning path that covers the main services, their use cases, and how they integrate with Microsoft’s ecosystem.
This course does not require advanced technical expertise. It focuses on providing practical knowledge with enough detail to prepare learners for the certification exam. It is also a stepping stone for further certifications that build on the fundamentals introduced here.
Course Goals
The main goal of this training is to prepare learners for the PL-900 exam by offering an in-depth yet simplified approach to every concept. The training ensures learners can identify core components, explain business value, and recognize the features of Power Apps, Power Automate, Power BI, and Power Virtual Agents.
Learners will finish the course with the ability to confidently explain how the Power Platform works and how it can be applied to solve real-world business problems.
Why the PL-900 Certification Matters
In today’s business environment, organizations depend on data-driven decisions and automation to remain competitive. The Power Platform provides a low-code and no-code approach to building apps, analyzing data, automating workflows, and creating chatbots.
Achieving the PL-900 certification proves that a professional understands these tools and can articulate their business value. Employers see this certification as evidence of readiness to participate in digital transformation projects. For individuals, this certification opens opportunities in roles related to business analysis, data visualization, solution design, and citizen development.
Who This Course Is For
This course is for anyone seeking to learn the Power Platform from the ground up. It is suitable for beginners with no prior coding experience. Business analysts, data specialists, and professionals in non-technical roles will find it especially relevant.
Managers and decision-makers who want to understand how Power Platform fits into broader strategies will benefit from this course. Developers and IT professionals who are curious about low-code and no-code solutions will also gain value from exploring these fundamentals.
Students and career changers looking for entry-level certification can also use this course as a pathway into Microsoft technologies.
Requirements for Taking the Course
There are no strict technical prerequisites for this training. A basic understanding of Microsoft Office tools such as Excel or Outlook will help learners follow along. Familiarity with business processes and problem-solving in workplace settings is an advantage but not mandatory.
Learners need access to a computer with internet connectivity. Having a Microsoft account and a trial or developer subscription to Power Platform is recommended. This allows hands-on practice with Power Apps, Power Automate, Power BI, and Power Virtual Agents.
Motivation to learn and a commitment to completing the course are the most important requirements.
Course Structure
This training course is divided into five detailed parts. Each part focuses on a set of concepts that together provide complete preparation for the PL-900 exam.
The first part provides an overview of the certification, explains requirements, and introduces the course modules. The next parts expand into deeper learning, each containing detailed coverage of services, use cases, and scenarios.
By the end of the training, learners will have covered every topic needed to attempt the PL-900 exam with confidence.
Overview of Modules
The PL-900 course is structured around the core services of the Power Platform and their capabilities. Each module focuses on a single area and provides detailed coverage of its features and applications.
Module 1 Introduction to Power Platform
This module explains the role of Power Platform in Microsoft’s ecosystem. Learners discover its key services and how they integrate with each other. The focus is on understanding the business value of the platform.
Module 2 Power Apps
This module introduces Power Apps and shows how it enables users to build custom apps with little or no code. It explains the difference between canvas apps and model-driven apps and provides examples of use cases.
Module 3 Power Automate
This module focuses on automation. Learners explore flows, connectors, triggers, and actions. The module highlights how repetitive tasks can be automated to improve productivity.
Module 4 Power BI
This module teaches learners about Power BI. It explains how data can be connected, transformed, visualized, and shared. Learners also discover the role of Power BI in decision-making.
Module 5 Power Virtual Agents
This module explores chatbots and conversational solutions. It explains how Power Virtual Agents can create intelligent bots without coding and how these bots can connect with other services.
Module 6 Common Data Service and Dataverse
This module provides an understanding of data storage and management in Power Platform. Learners discover Dataverse, its features, and how it supports integration across applications.
Module 7 Integration with Microsoft Services
This module highlights how the Power Platform connects with Microsoft 365, Dynamics 365, and Azure. It explains how integration supports broader digital transformation.
Module 8 Exam Preparation and Practice
The final module focuses on preparing learners for the PL-900 exam. It includes sample questions, tips for success, and strategies for studying effectively.
Course Description
This course is designed to be comprehensive yet approachable. It takes learners step by step through the fundamentals of Power Platform. Each module contains theory, examples, and practical exercises where possible.
The course emphasizes real-world applications. Learners are shown how organizations can apply Power Platform to improve efficiency, increase productivity, and make informed decisions.
By blending foundational concepts with hands-on opportunities, the course ensures learners are not only prepared for the exam but also capable of applying their skills in professional settings.
Learning Outcomes
By completing this course, learners will gain a clear understanding of what Power Platform is and why it matters. They will know how to describe the core services and explain their business value. They will be able to identify use cases for Power Apps, Power Automate, Power BI, and Power Virtual Agents.
Learners will also understand Dataverse and how it supports secure data management. They will see how the platform integrates with other Microsoft services to create powerful solutions.
Most importantly, learners will be prepared to attempt and pass the PL-900 exam.
Career Benefits
Earning the PL-900 certification demonstrates readiness to contribute to business solutions using Power Platform. It positions learners for roles in digital transformation, automation, and analytics.
For professionals already working in IT or business, this certification provides credibility and recognition of skills. For students and newcomers, it provides an entry point into Microsoft technologies and serves as a foundation for advanced certifications.
How This Course Is Delivered
The training is structured to balance theory and practice. Lessons are divided into clear sections with short, focused explanations. Examples are drawn from real-world scenarios.
Practice exercises are provided where learners can apply their knowledge. Guidance is also given on how to use Microsoft’s free trial environments for hands-on experience.
At the end of the course, learners are encouraged to attempt practice tests that reflect the style and difficulty of the real exam.
Introduction to Core Services
The Power Platform is built on four main services that provide low-code and no-code solutions. These services are Power Apps, Power Automate, Power BI, and Power Virtual Agents. Each service has its own role but they also connect seamlessly with each other. Together they give organizations the ability to build apps, analyze data, automate workflows, and create conversational bots.
The Role of Power Apps
Power Apps is the application development environment within Power Platform. It allows users to create apps without needing advanced coding skills. The service includes canvas apps, model-driven apps, and portal apps. Canvas apps allow customization by dragging and dropping elements onto a blank screen. Model-driven apps are built on top of Dataverse and automatically generate responsive layouts. Portal apps extend apps to external users such as customers or partners.
Power Apps helps organizations reduce the dependency on traditional software development. Business users can create apps that fit their needs without waiting for IT teams. This increases agility and reduces costs while empowering employees to solve problems on their own.
Building Canvas Apps
Canvas apps are designed to give creators flexibility. Users can design screens by arranging controls like forms, buttons, and galleries. The app can connect to data sources such as SharePoint, Excel, or Dataverse. Logic is added using Power Fx, which is a formula-based language similar to Excel. Canvas apps are highly customizable and allow users to build unique experiences tailored to business needs.
Canvas apps are often used for scenarios such as mobile data entry, task management, and field operations. Their drag-and-drop interface makes them ideal for business users who want control over the app layout.
Building Model-Driven Apps
Model-driven apps take a different approach. Instead of starting with a blank canvas, these apps are built on data models stored in Dataverse. The structure of the data defines the app layout and navigation. This makes model-driven apps less customizable in terms of design but more powerful for scenarios that require consistency and scalability.
Model-driven apps are used for complex business applications like customer service systems or sales tracking. They are responsive by default, so they work across devices without additional configuration.
Power Apps Portals
Power Apps also includes portal apps which extend applications to external audiences. Portals are web-based and allow organizations to share information and interact with customers or partners. For example, a company can create a customer service portal where clients log in to view orders, track requests, or engage with support teams.
Portals support authentication and security settings so that access is controlled. They are useful for scenarios where interaction with external stakeholders is essential.
The Role of Power Automate
Power Automate is the automation service of Power Platform. It enables users to create flows that connect apps and services. Flows can automate repetitive tasks such as sending notifications, moving files, or collecting data. Power Automate provides a wide range of connectors to Microsoft and third-party services.
Automation with Power Automate saves time and reduces human error. By automating manual processes, employees can focus on higher-value tasks. This contributes directly to increased productivity.
Types of Flows in Power Automate
There are several types of flows in Power Automate. Automated flows are triggered by specific events such as receiving an email. Instant flows are manually triggered by the user, often through a button. Scheduled flows run at specific times or intervals. Business process flows guide users through defined steps in a business process. Desktop flows provide robotic process automation by interacting with applications running on a desktop.
Each type of flow serves a unique purpose. Together they allow automation of simple tasks and complex processes across systems.
Power Automate Connectors
Connectors are a key feature of Power Automate. They allow flows to connect with services like Outlook, SharePoint, Teams, Twitter, or Salesforce. Standard connectors are included with Power Automate while premium connectors require additional licensing. Custom connectors can also be created when existing ones do not meet specific needs.
Connectors are what make Power Automate powerful. They ensure that automation is not limited to Microsoft tools but can extend across the software ecosystem used by an organization.
Power Automate Scenarios
Power Automate is applied in a wide range of scenarios. An example is automatically saving email attachments to OneDrive. Another scenario is sending notifications to Teams when a new item is added in SharePoint. Businesses also use Power Automate to streamline approval workflows, ensuring that requests move smoothly through multiple stakeholders.
These use cases demonstrate how automation simplifies daily operations and reduces the need for manual effort.
The Role of Power BI
Power BI is the data visualization and analytics service in Power Platform. It enables users to connect to different data sources, clean and transform data, and create visual reports. Power BI provides interactive dashboards that allow decision-makers to explore insights and trends.
The importance of Power BI lies in its ability to transform raw data into meaningful information. Organizations use it to make informed decisions, monitor performance, and identify opportunities for improvement.
Power BI Components
Power BI includes several components. Power BI Desktop is the primary tool for creating reports. Power BI Service is the cloud platform for publishing and sharing reports. Power BI Mobile allows access to reports on smartphones and tablets. Power BI Gateway connects on-premises data sources to the Power BI Service.
Together these components make Power BI a versatile and accessible solution for data analytics.
Connecting Data Sources in Power BI
Power BI supports a wide variety of data sources. These include Excel, SQL databases, Azure services, and online services such as Google Analytics or Salesforce. Data can be imported into Power BI or connected directly using live connections.
The ability to connect diverse data sources means organizations can bring together information from multiple systems. This creates a unified view of data that supports better analysis.
Transforming Data with Power Query
Before data can be analyzed, it often needs to be cleaned and transformed. Power BI uses Power Query for this purpose. Power Query allows users to perform tasks like removing duplicates, filtering rows, and merging tables. These transformations ensure the data is accurate and useful.
Transformations are recorded as steps that can be repeated. This makes it easier to refresh reports when new data is added.
Creating Visualizations in Power BI
Once the data is ready, Power BI provides tools for creating visualizations. Charts, graphs, maps, and tables can all be used to represent data. Visualizations can be customized to highlight specific insights.
Dashboards can combine multiple visualizations, allowing users to see a comprehensive view of performance indicators. These dashboards are interactive, meaning users can drill down into details with a few clicks.
Sharing Reports in Power BI
Reports created in Power BI Desktop can be published to the Power BI Service. This allows them to be shared with colleagues and stakeholders. Permissions can be set to control who can view or edit reports. Reports can also be embedded into other applications like Teams or SharePoint.
Sharing ensures that insights are not limited to analysts but are available to decision-makers across the organization.
The Role of Power Virtual Agents
Power Virtual Agents is the chatbot creation tool in Power Platform. It allows users to build conversational bots without coding. These bots can engage with customers or employees, answer questions, and perform actions.
Bots created in Power Virtual Agents use natural language understanding to interpret user input. They can be deployed on websites, social media, or communication platforms like Microsoft Teams.
Designing Topics in Power Virtual Agents
In Power Virtual Agents, bots are designed around topics. A topic is a conversation path that addresses a particular question or task. Topics include trigger phrases that identify what the user wants. Once a trigger is detected, the bot follows a pre-defined conversation flow.
Topics make it easy to design structured interactions that guide users to the information or actions they need.
Integrating Power Virtual Agents with Other Services
Power Virtual Agents can be integrated with Power Automate to perform actions. For example, a bot can trigger a flow that submits a request, updates a record, or sends a notification. This integration makes bots more powerful by connecting them to data and processes.
Integration with Microsoft Teams is also common. Bots can provide support within Teams by answering employee questions or automating internal tasks.
Use Cases for Power Virtual Agents
Organizations use Power Virtual Agents in customer support to provide 24/7 responses. They also use bots for internal support such as IT helpdesks or HR queries. Bots reduce the workload on human agents by handling routine questions and requests.
These use cases show how conversational AI improves efficiency and customer satisfaction.
The Role of Dataverse
Dataverse is the data platform behind Power Platform. It provides a secure and scalable way to store and manage data. Applications built in Power Platform can use Dataverse as their data source. Dataverse includes features like tables, relationships, and business rules.
Using Dataverse ensures that data is consistent and governed. It also supports integration across the different services in Power Platform.
Understanding Tables in Dataverse
Dataverse stores data in tables. Each table contains rows and columns similar to a database. Standard tables such as accounts or contacts are provided out of the box. Custom tables can be created to meet specific business needs.
Tables support relationships, so data can be linked across different entities. For example, a customer table can be related to an orders table.
Business Rules in Dataverse
Business rules allow organizations to enforce logic within Dataverse. They can define conditions and actions such as requiring a field value or automatically calculating results. Business rules ensure that data integrity is maintained.
They allow organizations to implement policies directly in the data model without writing code.
Integration Across Services
One of the strengths of Power Platform is integration. Power Apps can use Dataverse as its backend. Power Automate can trigger flows based on Dataverse events. Power BI can visualize Dataverse data. Power Virtual Agents can query Dataverse through flows.
This integration creates a unified ecosystem where each service complements the others.
Business Value of Power Platform
The business value of Power Platform lies in its ability to democratize technology. Employees who are not developers can still create solutions. This empowers citizen developers while freeing IT teams to focus on strategic work.
Organizations benefit from reduced development costs, faster delivery of solutions, and improved productivity. Power Platform also helps bridge the gap between IT and business units.
Common Scenarios for Power Platform
Power Platform is applied across industries. In healthcare, it supports patient tracking and scheduling. In retail, it enables inventory management and customer engagement. In finance, it streamlines approval workflows and reporting.
The flexibility of the platform makes it suitable for both small businesses and large enterprises.
Security and Governance in Power Platform
Security is critical for any business application. Power Platform includes role-based access control, data loss prevention policies, and auditing features. Administrators can manage environments to separate development, testing, and production.
Governance ensures that citizen development is balanced with organizational standards. It allows innovation without compromising security.
Preparing for Practical Use
Learning about Power Platform is not just theoretical. Learners are encouraged to practice by building apps, creating flows, designing reports, and building bots. Microsoft offers trial environments where learners can apply what they learn.Hands-on practice helps learners gain confidence and retain knowledge more effectively.
Introduction to Applied Learning
Understanding the Power Platform is not only about knowing definitions or memorizing features. The real power comes from applying concepts to business scenarios. The PL-900 exam expects candidates to understand how services work together and how they solve organizational challenges. This part of the course explores practical applications, deeper exam preparation, and strategies for approaching scenario-based questions.
The Importance of Scenarios in PL-900
The exam measures your ability to connect tools to business problems. For example, if a company wants to automate expense approvals, you need to know that Power Automate is the correct service. If a manager wants to see real-time sales performance, Power BI is the right answer. If an organization needs a mobile app for field technicians, Power Apps canvas apps are the solution. If customers require instant support outside office hours, Power Virtual Agents can provide conversational help.
These scenarios test both conceptual knowledge and application skills. That is why applied learning is central to this part of the course.
Business Scenarios for Power Apps
Power Apps fits perfectly in organizations that need custom apps without the complexity of traditional development. A logistics company can build an app for drivers to track deliveries. A hospital can design an app for nurses to record patient vitals at the bedside. A retailer can create a point-of-sale solution that integrates with inventory systems.
In all these cases, the flexibility of Power Apps allows employees who understand the business to design apps that fit unique processes. The ability to build apps quickly means problems are solved faster, and organizations adapt more easily.
Choosing Between Canvas and Model-Driven Apps
A common exam question revolves around knowing which app type to recommend. Canvas apps are best for highly customized user interfaces. They are often used for mobile apps where design and layout control are important. Model-driven apps are better for structured data scenarios where consistency and business logic matter more than design.
For example, if a sales team needs a consistent way to track opportunities across regions, a model-driven app is ideal. If marketing wants a survey app with a custom interface, a canvas app is better. Understanding these distinctions is critical for answering exam questions correctly.
Power Apps in Real-World Practice
Beyond exam preparation, Power Apps is transforming how businesses operate. Many organizations face bottlenecks because IT cannot keep up with demand for custom apps. By enabling citizen developers, Power Apps reduces the backlog. Employees can build apps for specific tasks, while IT maintains oversight for governance and security.
This democratization of app creation is a major reason why the Power Platform is central to Microsoft’s strategy. It bridges the gap between technical teams and business needs.
Business Scenarios for Power Automate
Power Automate is used wherever repetitive processes exist. A finance department can automate invoice approvals. A marketing team can automate responses to form submissions. An HR department can automate onboarding processes. A customer service team can automate ticket assignments.
These examples demonstrate how automation saves time and ensures processes are consistent. For the PL-900 exam, you need to match scenarios to automation types. If the task is triggered by an event, an automated flow is correct. If the task is scheduled, a scheduled flow applies. If users manually start the task, an instant flow is the right choice.
RPA with Desktop Flows
Robotic Process Automation expands Power Automate beyond cloud services. Desktop flows allow automation of legacy applications that do not have modern APIs. For example, if a company uses an old application that requires manual data entry, a desktop flow can mimic user actions like clicks and typing.
Understanding RPA is essential because the exam may present scenarios where automation is needed for on-premises systems. Recognizing that Power Automate provides this capability shows a complete grasp of the service.
Power Automate in Real-World Practice
Many organizations struggle with efficiency because employees waste time on repetitive work. Automating these processes increases productivity and reduces errors. For example, a law firm can automate the process of filing case documents. A manufacturing company can automate safety check notifications. A university can automate student application reviews.
In every industry, Power Automate proves valuable because it frees up human effort for more meaningful work.
Business Scenarios for Power BI
Power BI is used wherever data drives decisions. Executives need dashboards to monitor performance. Analysts need reports to discover trends. Managers need insights to allocate resources. Teams need visualization to communicate progress.
A retail company may use Power BI to analyze sales data across regions. A healthcare provider may use it to track patient outcomes. A nonprofit may use it to monitor fundraising performance. For the exam, you must identify when visualization and analytics are the solution, which always points to Power BI.
Power BI for Different Roles
One of the strengths of Power BI is that it serves different roles in an organization. Analysts create reports using Power BI Desktop. Managers view dashboards in Power BI Service. Employees access data on the go through Power BI Mobile. IT teams maintain governance through Power BI Gateway.
For exam readiness, you should understand the difference between creating, publishing, and consuming reports.
Power BI in Real-World Practice
Businesses rely on Power BI for real-time decision-making. Airlines use it to monitor flight performance. Banks use it to track fraud detection. Governments use it to analyze population data. Schools use it to monitor student achievement.
The exam may not dive into industry-specific scenarios, but real-world knowledge helps you understand why Power BI matters.
Business Scenarios for Power Virtual Agents
Power Virtual Agents is applied where human support cannot cover all interactions. Customer service departments use bots to handle routine questions like checking order status. HR departments use bots to answer employee queries about policies. IT departments use bots to reset passwords or troubleshoot basic issues.
In these cases, bots reduce workload and provide instant responses. For the PL-900 exam, you should recognize when conversational AI is the appropriate tool. If the scenario involves answering repeated questions or interacting with users through conversation, Power Virtual Agents is the correct choice.
Designing Effective Bots
For effective exam preparation, you need to understand how bots are designed. Trigger phrases start conversations. Topics define flows of dialogue. Bots can integrate with Power Automate to take action, such as creating a support ticket.
Questions may test your understanding of how topics and actions are combined to build useful bots.
Power Virtual Agents in Real-World Practice
In practice, bots improve both customer and employee experience. Airlines use bots for booking queries. Universities use bots to answer admission questions. Online stores use bots to recommend products. By providing self-service options, bots make support scalable.
The exam may present case studies where bots are the best solution, so being able to connect real-world examples to exam scenarios is important.
Understanding Dataverse in Depth
Dataverse is the common data platform that supports Power Platform. It provides secure, scalable storage with business logic. Data is stored in tables with rows and columns. Relationships link tables together. Business rules ensure consistency.
For the exam, you should understand when to use Dataverse. If the scenario involves structured data that must be shared across apps, Dataverse is the right choice. If security, governance, and integration are important, Dataverse is also the correct answer.
Dataverse and Integration
Dataverse is integrated with other services. Power Apps uses it for model-driven apps. Power Automate uses it for triggers and actions. Power BI connects to it for visualization. Power Virtual Agents accesses it through flows.
This shared data platform makes Power Platform cohesive. Exam questions often test your ability to see this connection.
Exam Preparation Strategy
The PL-900 exam is designed for beginners, but it still requires careful preparation. Questions are multiple-choice and scenario-based. You should expect to read a scenario and identify which Power Platform service solves the problem.
The best strategy is to think about the role of each service. If the task involves building apps, think of Power Apps. If it involves automation, think of Power Automate. If it involves visualization, think of Power BI. If it involves conversational support, think of Power Virtual Agents. If it involves storing and managing structured data, think of Dataverse.
Common Mistakes in the Exam
Candidates often confuse Power Automate and Power Apps. Remember that Power Automate is for automation, while Power Apps is for building applications. Another mistake is confusing Power BI with Excel. While both handle data, Power BI is for advanced visualization and sharing insights.
Another common mistake is underestimating Dataverse. It is more than just a storage system; it provides business rules and governance that are critical in enterprise solutions.
Tips for Passing the PL-900 Exam
Read questions carefully. Many answers will seem correct, but only one will be the best fit. Eliminate answers that clearly do not apply. Focus on the keywords in the scenario. If the scenario mentions automation, think Power Automate. If it mentions creating a custom app, think Power Apps.
Use practice tests to get familiar with question style. Review Microsoft Learn modules and documentation. Most importantly, practice using the services in a trial environment. Hands-on experience makes it easier to remember concepts.
Hands-On Practice Recommendations
Set up a free developer environment to explore Power Platform. Build a simple canvas app connected to Excel. Create a model-driven app using Dataverse. Design a flow that sends notifications. Build a Power BI report with sample data. Create a bot in Power Virtual Agents that answers a simple question.
By completing these exercises, you reinforce theoretical knowledge with practical skills.
The Role of Integration in Exam Questions
Many exam scenarios involve more than one service. For example, an app built in Power Apps may use a flow created in Power Automate. A Power BI dashboard may visualize data stored in Dataverse. A Power Virtual Agents bot may use Power Automate to complete tasks.
Recognizing integration points helps you choose the most complete solution.
Real-World Case Study One Retail Company
A retail chain wants to improve its inventory management. They create a Power App for store employees to record stock levels. They use Power Automate to trigger alerts when stock is low. They use Power BI to monitor trends and forecast demand. They use Power Virtual Agents to help employees answer questions about stock procedures. Dataverse stores all inventory data.
This case study shows how all services combine to create a complete solution.
Real-World Case Study Two Healthcare Organization
A hospital needs to improve patient check-in. They use a canvas app for patients to register on tablets. Power Automate connects the registration to the hospital system. Power BI analyzes wait times and patient flow. Power Virtual Agents answers common patient questions about appointments. Dataverse stores patient records securely.
This demonstrates how Power Platform can transform healthcare processes.
Real-World Case Study Three Educational Institution
A university wants to enhance student services. They use Power Apps to create a portal for course selection. Power Automate automates approvals for course changes. Power BI tracks student performance across departments. Power Virtual Agents provides answers to common admission questions. Dataverse holds student and course data.
This example highlights how Power Platform supports education.
Real-World Case Study Four Financial Services
A bank needs to speed up loan approvals. Power Apps provides a mobile app for loan officers. Power Automate manages approval workflows. Power BI tracks approval times and risk factors. Power Virtual Agents supports customer inquiries. Dataverse ensures secure data handling.
This case study illustrates Power Platform in finance.
The Future of Power Platform
As organizations continue digital transformation, demand for low-code solutions grows. Power Platform will expand with new features, tighter integrations, and stronger AI capabilities. Professionals who earn the PL-900 certification today position themselves for future opportunities.
Introduction to Advanced Concepts
By this stage of the course, you already understand the fundamentals of each Power Platform service and their role in solving business problems. Now it is time to dive deeper into advanced concepts that connect these services, extend their capabilities, and prepare you for more complex exam questions. This section covers integration with Microsoft 365, Dynamics 365, and Azure, explores AI features, discusses governance and security, and provides detailed exam-style insights to ensure readiness.
Integration with Microsoft 365
The Power Platform is tightly connected to Microsoft 365. This integration allows organizations to use familiar tools like Outlook, Teams, and SharePoint with the Power Platform. For example, a Power Automate flow can trigger when an email is received in Outlook. Power BI reports can be embedded directly in Teams. Power Apps can use SharePoint lists as data sources.
This integration is valuable because it extends the functionality of tools employees already use daily. For the exam, you should be able to identify scenarios where integration with Microsoft 365 provides the solution.
Power Platform and Microsoft Teams
Microsoft Teams has become the hub for communication and collaboration. Power Platform strengthens Teams by embedding apps, flows, and reports directly into the environment. For example, an employee can submit a request through a Power App without leaving Teams. A manager can approve that request via a Power Automate notification. A team can review related Power BI dashboards in the same space.
Power Virtual Agents also integrate with Teams by allowing organizations to deploy bots that support employees within chat channels. This creates a seamless experience where communication, automation, and data insights live in one place.
Integration with SharePoint
SharePoint is widely used for document management and collaboration. Power Apps and Power Automate extend SharePoint by allowing custom applications and workflows. For example, a company can create a Power App to manage employee leave requests using a SharePoint list as the backend. A flow can then notify managers when a request is submitted and update the list after approval.
This type of integration is tested in exam scenarios where SharePoint data management is required.
Integration with Dynamics 365
Dynamics 365 and Power Platform share the same underlying data platform, Dataverse. This means that Dynamics applications such as Sales, Customer Service, and Field Service are naturally connected to Power Platform.
For example, a company using Dynamics 365 Sales can create a Power BI dashboard that visualizes pipeline performance. A Power Automate flow can trigger when a new lead is added. A Power Virtual Agents bot can provide customer information from Dynamics records.
For the PL-900 exam, it is important to recognize when an organization using Dynamics 365 can extend functionality with Power Platform.
Integration with Azure
Azure provides advanced cloud services that extend the Power Platform. Azure AI services can enhance Power Apps with capabilities such as image recognition, text translation, and sentiment analysis. Azure Functions can be called from Power Automate flows for custom logic. Azure Data Lake can serve as a large-scale storage solution for Power BI analytics.
Understanding this relationship is critical because exam questions may ask which platform to use when advanced features are required. If the solution requires custom AI, machine learning, or large-scale analytics, Azure is often the correct complement to Power Platform.
AI Builder in Power Platform
AI Builder is an add-on feature within Power Platform that allows organizations to bring artificial intelligence into their solutions without needing data science expertise. With AI Builder, users can create models for tasks such as form processing, object detection, prediction, and text classification.
For example, a company can use AI Builder to extract data from scanned invoices and store it in Dataverse. A retailer can use it to predict product demand. An HR team can use it to analyze sentiment in employee feedback.
For the exam, you need to know that AI Builder is the native AI capability in Power Platform. It empowers users to add intelligence directly to apps and flows.
Common AI Builder Scenarios
AI Builder supports a range of practical scenarios. Form processing extracts information from structured documents. Object detection identifies and counts objects in images. Prediction analyzes historical data to forecast outcomes. Text classification sorts messages or feedback into categories. Sentiment analysis detects emotions in text.
Recognizing these scenarios is important for exam success. If the scenario involves extracting data from forms, AI Builder form processing is the answer. If it involves predicting outcomes, AI Builder prediction is the correct service.
Security in Power Platform
Security is a core concern in every organization. Power Platform provides several layers of security to ensure data is protected. Role-based access control determines what users can do. Data loss prevention policies restrict how data is shared between connectors. Environment-level security separates development, testing, and production.
Exam questions may test your understanding of these security features. For example, if an organization wants to prevent business data from being sent to social media, the correct answer is to configure a data loss prevention policy.
Governance in Power Platform
Governance ensures that Power Platform solutions are managed properly. Without governance, citizen developers might create apps and flows that expose sensitive data or cause system issues. Microsoft provides tools like the Power Platform Admin Center where administrators can manage environments, monitor usage, and apply policies.
Governance balances innovation with control. It allows organizations to empower employees while maintaining standards for compliance and security.
The Role of Environments
Environments in Power Platform act as containers for apps, flows, and data. They provide isolation for different stages of development. A common setup is to have separate environments for development, testing, and production.
For the exam, you should understand that environments allow organizations to organize solutions and control access. If a question asks how to separate testing from live applications, environments are the correct answer.
Licensing Considerations
Power Platform licensing can be complex, but at the PL-900 level you only need to know the basics. Some features are included with Microsoft 365 licenses, while others require additional subscriptions. For example, Power Apps per app and per user plans extend capabilities. Premium connectors often require paid licenses.
Recognizing when licensing impacts a solution may appear in scenario-based exam questions.
Monitoring and Analytics for Administrators
Administrators can monitor Power Platform usage through the Admin Center. This includes seeing which apps are used, how many flows are running, and whether there are errors. Monitoring helps ensure solutions are effective and do not create unnecessary risks.
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