PL-900 Exam Study Guide – Free Practice Questions

How to Prepare for the PL-900 Exam?

Preparing for the PL-900 Microsoft Power Platform Fundamentals Certificate exam? Don’t know where to start? This post is the PL-900 Certificate Study Guide (with links to each exam objective).

I have curated a list of articles from Microsoft documentation for each objective of the PL-900 exam. I hope this article will help you to achieve the PL-900 Microsoft Power Platform Fundamentals Certification. Also, please share the post within your circles so it helps them to prepare for the exam.

PL-900 MS Power Platform Fundamentals Test

Udemy Practice Test	Power Platform Practice Test Exam
Book on learnpub (PDF)	Power Platform Fundamentals FREE Questions

PL-900 Microsoft Power Platform Fundamentals

Pluralsight [Learning Path]	Microsoft Power Platform Fundamentals
LinkedIn Learning [Free Trial]	Microsoft Power Platform Foundations
Udemy	MS Power Platform Fundamentals Course

PL-900 Sample Practice Exam Questions

Looking for PL-900 Dumps? Read This!

Using PL-900 exam dumps can get you permanently banned from taking any future Microsoft certificate exam. However, I strongly suggest you validate your understanding with practice questions.

Check out all the other Power Platform certificate study guides

You can check out my PL-900 Practice Test community edition book for free

Full Disclosure: Some of the links in this post are affiliate links. I receive a commission when you purchase through them.

Describe the Business Value of Microsoft Power Platform (20-25%)

Describe the Business Value of Microsoft Power Platform Services

Gain insights into data by using Power BI

Types of Insights supported by Power BI

Build applications quickly by using Power Apps

Learning about Power Apps?

Start building apps – Power Apps

Automate processes by using Power Automate

Create a flow in Power Automate

Use connectors to integrate services and data

Overview of canvas-app connectors for Power Apps

Create powerful chatbots by using the Power Virtual Agents web app and Power Virtual Agents in Microsoft Teams

Overview of Power Virtual Agents web app – Power Virtual Agents

Add Power Virtual Agents chatbot – Teams

Describe the Business Value of Extending Business Solutions by Using the Microsoft Power Platform

Describe how Dynamics 365 apps can accelerate delivery of Power Platform business solutions

Watch video on Microsoft Power Platform + Dynamics 365

Describe how Power Platform business solutions can be used by Microsoft 365 apps including Microsoft Teams

Microsoft Power Platform

Power Apps and Microsoft Teams integration

Describe how Power Platform business solutions can consume Microsoft 365 services

An Introduction to the Microsoft Power Platform

Describe how Power Platform business solutions can consume Microsoft Azure services including Azure Cognitive Services

Use Cognitive Services in Power Apps

Describe how Power Platform business solutions can consume third-party apps and services

How does the Power Platform fit with the wider Microsoft strategy?

---

Test your knowledge of Dataverse Database

Explanation:

As you can create only one Dataverse database in a Power Platform environment, both the statements, ask the same question: Can you access Dataverse tables in a different environment from a flow/app?

Quick Preview:

Reference Link: https://docs.microsoft.com/en-us/power-platform/admin/create-database

Statement 1:

If you use the Dataverse connector (non-legacy), it always connects to the database in the current environment (where the flow runs). There is no option to select an environment.

But if you use the legacy Dataverse connector, it lets you choose Dataverse tables from a different environment within the tenant.

Reference Link: https://powerusers.microsoft.com/t5/Using-Connectors/Can-you-connect-to-more-than-one-Dataverse-environment-at-a-time/td-p/971643

https://docs.microsoft.com/en-us/connectors/commondataserviceforapps/

https://docs.microsoft.com/en-us/connectors/commondataservice/

We do not know till when Microsoft will support the legacy connector or if the option to connect to Dataverse tables in a different environment will be available in the non-legacy connector.

For now, though, statement 1 is correct.

Statement 2:

In addition to the tables in the current environment (where the app is created), you can change the environment to select Dataverse tables from a different environment.

This feature enables us to access tables in more than one Dataverse database (in different environments).

Reference Link: http://powerappsguide.com/blog/post/how-to-access-datavers-tables-from-another-environment

So, statement 2 is also correct.

Option Yes, Yes is the correct answer.

Knowledge Area: Describe the business value of Power Platform

This question is part of my course PL-900 Exam Questions. It is copyrighted and cannot be reproduced elsewhere without permission.

---

Describe Microsoft Power Platform Administration and Security

Describe how Power Platform implements security including awareness of Microsoft Dataverse security roles, Azure Identity Services, and Access Management (IAM)

Security concepts in Microsoft Dataverse

Configure user security to resources in an environment

Describe how to manage apps and users

Manage Power Apps

Create users & assign security roles

Describe environments

Environments overview

Describe where to perform specific administrative tasks including Power Platform Admin center, Microsoft 365 admin center

Describe Data Loss Prevention (DLP) policies

Data loss prevention (DLP) policies

Describe how the platform supports privacy and accessibility guidelines

Compliance and data privacy

PowerApps canvas app-accessibility guidelines

Amazon link (affiliate)

Identify the Core Components of Microsoft Power Platform (10-15%)

Describe Microsoft Dataverse

Describe the Power Apps user experience

The PowerApps UX/UI Design Guidelines & UI Components Library

Describe tables, columns, and relationships

Tables in Dataverse

Columns overview

Table relationships

Describe use cases for solutions

Real-world use cases: PowerApps, Microsoft Flow & Common Data Service

Describe use cases and limitations of business rules

Create a business rule for a table

Known limitations

Describe the Common Data Model (CDM)

Common Data Model

Describe how to use common standard tables to describe people, places, and things

Tables & metadata in Microsoft Dataverse

Customer tables

Describe Connectors

Describe the native Dataverse connection experience

Connect to Microsoft Dataverse

Microsoft Dataverse & the improved data source experience

Describe triggers including trigger types and where triggers are used

What are the connectors & triggers in Power Automate?

Use a webhook as a trigger for Azure Logic Apps & Power Automate

Use a polling trigger for Microsoft Power Automate

Describe actions

Monitoring the Power Platform

Describe licensing options for connectors including standard or premium tier

Understanding Power Platform Licensing

What are Flow Premium Connectors?

Identify use cases for custom connectors

Custom Connectors

---

Test your knowledge of Custom Connectors

Explanation:

Many pre-built connectors may not expose everything an underlying API/service can perform. In case you need something offered by the API but unavailable in the connector, you can extend the Power Platform by creating a custom connector.

For the given scenario, I can query the Microsoft Graph API to get a list of all groups in my organization.

So, I can build a new custom connector and define an action ListGroups (using the request/response details from Graph Explorer).

In the below image, I am testing a connector to check if the ListGroups action retrieves the list of groups.

Finally, I use the List Groups action from the custom connector in a Power Automate flow.

Option 3 (Accepting your colleague’s recommendation) is the correct choice.

Reference Link: https://www.youtube.com/watch?v=b4aJdQrmTsQ&t=258s

Option 1 is incorrect since we learned that we can create a custom connector even if a standard connector is already available.

Option 2 is incorrect. You can suggest an idea to Microsoft, but since it is only for your project, it is easy and quick to develop a custom connector.

Option 4 is incorrect. You share a connector proposal on the GitHub repository if you want to certify a custom connector. We are not looking to certify the connector here.

Reference Link: https://docs.microsoft.com/en-us/connectors/custom-connectors/certification-submission-ip#prepare-and-submit-your-connector-for-certification

Knowledge Area: Identify the core components of Microsoft Power Platform

This question is part of my course PL-900 Exam Questions. It is copyrighted and cannot be reproduced elsewhere without permission.

---

Describe AI Builder

Identify the business value of AI Builder

Introducing AI Builder for Power Platform

Describe models including a business card reader, detection model, form processing model, and prediction model

Automate contact creation with a business card reader

Build your object detection model

Overview of the form processing model

Overview of the prediction model

Describe how the Power Apps and Power Automate can consume AI Builder data

Use the business card reader prebuilt model in Power Automate

Use the business card reader component in model-driven apps

---

Test your knowledge of AI Builder

Explanation:

The AI Builder custom category classification model analyzes unstructured text entries (tweets) and classifies/tags them.

To collect data, I created a Power Automate flow that triggers when a tweet with a hashtag (#muncheryjuice) is tweeted. Then, I store the twitter text in a Dataverse table.

For model training, I add tags for each tweet entry as either Ambience, Delivery, or Taste in the Dataverse table. I use this table for model (category classification) training.

Using the trained model, the model can apply tags to the incoming tweets. To tag text entries, the category classification model is the most suitable choice.

Reference Link: https://docs.microsoft.com/en-us/ai-builder/text-classification-overview

https://docs.microsoft.com/en-us/ai-builder/before-you-build-text-classification-model#data-preparation

Option 2 is the correct choice.

Option 1 is incorrect. Key phrase extraction, a prebuilt AI Builder model, extracts the main talking points in a given text. So, you cannot train and tag the data per your needs.

Reference Link: https://docs.microsoft.com/en-us/ai-builder/prebuilt-key-phrase

Option 3 is incorrect. Although category classification and entity extraction look similar, there is a difference. Entity extraction identifies/extracts keywords from text related to your business. And category classification buckets/classifies/tags the data into predefined categories.

For example, Munchery Juice tags tweets as either delivery or ambience with category classification. But use the entity extraction model to identify/extract Order Statuses like delivered, cancel, and delayed to classify them into the Order Status category.

Reference Link: https://docs.microsoft.com/en-us/ai-builder/entity-extraction-overview

Option 4 is incorrect. Sentiment analysis is a prebuilt model to detect the positive or negative sentiment in text data. We do not want to determine sentiment here.

Reference Link: https://docs.microsoft.com/en-us/ai-builder/prebuilt-sentiment-analysis

Knowledge Area: Identify the core components of Microsoft Power Platform

This question is part of my course PL-900 Exam Questions. It is copyrighted and cannot be reproduced elsewhere without permission.

---

Demonstrate the Capabilities of Power BI (20-25%)

Identify Common Power BI Components

Identify and describe uses for visualization controls including pie, bar, donut, and scatter plots and KPIs

When to use a Pie Chart?

When to use a Bar Chart?

Pie and Doughnut Charts

A Complete Guide to Scatter Plots

Measure your performance against key business objectives

Describe types of filters

Types of filters in Power BI reports

Describe the Power BI Desktop Reports, Data, and Model tabs

Work with Report view in Power BI Desktop

Work with Data view in Power BI Desktop

Work with Modeling view in Power BI Desktop

Describe uses for custom visuals including charts or controls

Create custom visuals for Power BI

Compare and contrast dashboards and workspaces

Dashboards in the Power BI service

Workspaces in Power BI

Compare and contrast Power BI Desktop and Power BI Service

Comparing Power BI Desktop and the Power BI service

Compare and contrast dashboards, workspaces, and reports

Power BI Dashboards

Power BI Workspaces

Power BI reports

Connect to and Consume Data

Combine multiple data sources

Shape and combine data in Power BI Desktop

Clean and transform data

Power BI: Data Cleaning

Transform, shape, and model data in Power BI

Describe and implement aggregate functions

Work with aggregates in the Power BI service

Identify available types of data sources including Microsoft Excel

Power BI data sources

Describe use cases for shared datasets and template apps and how to consume each

Share a dataset

What are Power BI template apps?

---

Test your knowledge of Power BI

Explanation:

Since the Sales tables contain a huge number of rows, and the report uses only a subset of the fields, we can create an aggregated table by using the Group by operation in Power Query.

The Group by operation outputs a record for each group (combination of category values) and aggregates the numeric values.

Select the category columns used in the report as group by columns (Product Color, Product Line, and Year) and click Group By

In the Group By window, we can view the selected columns as Group by columns. In addition, add the numeric fields to aggregate like Total Sales Amount, Order Quantity, and Average unit price.

Click OK and close the Power Query window. We get a trimmed-down model with only the required fields.

Option 1 is the correct choice.

Reference Link: https://docs.microsoft.com/en-us/power-bi/transform-model/aggregations-advanced

Option 2 is incorrect. Even if you remove unused columns, for each visual, a query is sent to the back end that aggregates more than a billion records in real-time, so visuals will still load slowly. Aggregation is a better performance optimization technique than removing columns.

Option 3 is incorrect. Changing the storage mode of the model to import will improve performance, as the queries are retrieved directly from the cache. But since the dataset is in a shared capacity, a table with a huge number of rows may not fit within the allocated memory size (1 GB).

Reference Link: https://docs.microsoft.com/en-us/power-bi/admin/service-admin-manage-your-data-storage-in-power-bi#dataset-limits

Option 4 is incorrect. By default, every visual on a report can interact with others. We can reduce the number of queries fired at the back end by turning off unnecessary interactions between them. But since there are only three visuals in the report, turning them off will not yield noticeable benefits.

Reference Link: https://docs.microsoft.com/en-us/power-bi/create-reports/service-reports-visual-interactions

Knowledge Area: Demonstrate the capabilities of Power BI

This question is part of my course PL-900 Exam Questions. It is copyrighted and cannot be reproduced elsewhere without permission.

---

Build a Basic Dashboard Using Power BI

Design a Power BI dashboard

What are Power BI template apps?

Design data layout and mapping

Layouts in Power BI

Tips and tricks for Power BI map visualizations

Publish and share reports and dashboards

Publish and share in Power BI

Demonstrate the Capabilities of Power Apps (25-30%)

Identify Common Power Apps Components

Describe differences between canvas apps and model-driven apps

Watch video on PowerApps Canvas vs Model-Driven Applications

Describe portal apps

PowerApps Portals

Identify and describe types of reusable components including canvas component libraries and Power Apps Component Framework (PCF) components

Component library

Power Apps component framework overview

Describe use cases for formulas

Get started with canvas-app formulas in Power Apps

Build a Basic Canvas App

Describe types of data sources

Understand data sources for canvas apps in Power Apps

Connect to data by using connectors

Add a data connection to a canvas app in Power Apps

Combine multiple data sources

Watch video on PowerApps Combining Multiple Data Sources

Use controls to design the user experience

Use & understand Controls in a canvas app in Power Apps

Describe the customer journey

Democratizing application development with the Power Platform

Publish and share an app

Save and publish a canvas app in Power Apps

Share a canvas app with your organization

Build a Basic Model-driven App

Add tables to app navigation

Add model-driven app form navigation for related tables

Modify forms and views

Edit a form in Power Apps

Create & edit public or system model-driven app views

Publish and share an app

Validate & publish a model-driven app using the app designer

Share a model-driven app using Power Apps

Demonstrate the Capabilities of Power Automate (10-15%)

Identify Common Power Automate Components

Identify flow types

Get started with Power Automate

Describe use cases for flows and available flow templates

Power Automate case study

Power Automate templates

Describe how Power Automate uses connectors

Connectors in Power Automate

Describe loops and conditions including switch, do until, and apply to each

Watch the video on Microsoft Flow: Switch Control

Watch the video on Microsoft Flow: Do Until

Apply to each action in Power Automate to process a list of items

Describe expressions

Use expressions in conditions to check multiple values

Describe approvals

Approvals in workflows

Create & test an approval workflow with Power Automate

Build a Basic Cloud Flow

Create a flow by using the button, automated, or scheduled flow template

Introducing instant flows

Create a cloud flow in Power Automate

Run flows on a schedule

Modify a flow

Edit Windows recorder (V1) flows

Use flow controls to perform data operations

Use data operations with Power Automate

Run a flow

Run attended and unattended UI flows

Modify a flow

Editing Windows recorder (V1) flows

Demonstrate the Capabilities of Power Virtual Agents (5-10%)

Describe the Capabilities of Power Virtual Agents in Microsoft Teams

Describe use cases for Power Virtual Agents

Power Virtual Agents overview

Describe where you can publish chatbots

Integrate a Power Virtual Agents chatbot with Microsoft Teams

Describe topics, entities, and actions

Create and edit topics in your Power Virtual Agents bot

Use entities & slot filling in Power Virtual Agents bots

Add actions to a bot using Power Automate

Describe message nodes, question nodes, conditions, trigger phrases, and the authoring canvas

All the terms mentioned and used in creating topics

Identify common pre-built entities

Prebuilt entities in Power Virtual Agents

---

Test your knowledge of Power Virtual Agents

Explanation:

Chatbots invoke Escalate topic for undefined issues on the third prompt. But, it’s not a good user experience for the customer to type the issue multiple times.

Since it is not possible to create topics for all kinds of user queries, enable the system fallback topic for the chatbot.

The fallback topic is a catchall topic. If a topic is undefined for any user query, the fallback topic is invoked. So, when the user types looking for dealerships, the chatbot triggers the fallback topic.

In the fallback topic, the user’s query is captured in the variable UnrecognizedTriggerPhrase. We can pass this variable as parameters to the Teams channel via flow.

The team members get notified about the in-demand topics and can plan to update the bot accordingly.

From the discussion above, a fallback topic is essential to capture undefined user intents. Option 4 is one of the correct answers.

In addition to that, since we need to display the message, Our agent will be in touch with you in the next 24 hours to the user, option 2 is the other correct answer.

Reference Link: https://docs.microsoft.com/en-us/power-virtual-agents/authoring-system-fallback-topic

Knowledge Area: Demonstrate the business value of Power Virtual Agents

This question is part of my course PL-900 Exam Questions. It is copyrighted and cannot be reproduced elsewhere without permission.

---

Build and Publish a Basic Chatbot

Create a chatbot

Create and delete Power Virtual Agents bots

Create a topic

Create & edit topics in your Power Virtual Agents bot

Call an action

Add actions to a bot using Power Automate

Test a chatbot

Watch the video on How to test your bot with Power Virtual Agents

Publish a chatbot

Watch the video on How to publish a chatbot with Power Virtual Agents

Monitor chatbot usage

Analyze bot performance & usage in Power Virtual Agents

Analyze topic usage in Power Virtual Agents

Monitor chatbot performance

Analyze bot performance & usage in Power Virtual Agents

This brings us to the end of the PL-900 Microsoft Power Platform Fundamentals Study Guide

What do you think? Let me know in the comments section if I have missed out on anything. Also, I love to hear from you about how your preparation is going on!

In case you are preparing for other Power Platform certification exams, check out the Power Platform study guides for those exams.

Follow Me to Receive Updates on PL-900 Exam

• youtube channel ravikirans
• facebook page ravikirans
• linkedin page ravikirans

---

Want to be notified as soon as I post? Subscribe to the RSS feed / leave your email address in the subscribe section. Share the article to your social networks with the below links so it can benefit others.

Share the PL-900 Study Guide in Your Network