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The certification test covers a range of topics and subtopics. The candidates can find the detailed content of these objectives on the official webpage. It is recommended that you visit the Microsoft website when you are about to start your preparation process to get the latest version of the exam domains. This is due to the fact that Microsoft frequently reviews and updates the content of its tests. At the time of this writing, the highlights of the exam topics are enumerated below:

• Design Solutions: 10-15%

  This subject area evaluates your skills in creating high-level designs; identifying the required components of Power Platform; designing data models; designing user interface; designing output; designing the environments for Power Platform; designing security, compliance, as well as privacy.

• Analyze & Visualize Data: 5-10%

  This domain requires that the candidates for the PL-100 certification exam demonstrate competence in creating Power Business Intelligence reports; implementing other reports; describing Artificial Intelligence Builder models.

• Create Solutions: 55-60%

  This section covers the highest scope of the exam content. The test takers must pay close attention to the components of this topic when preparing for Microsoft PL-100. It will evaluate one’s skills in managing the development environments of Power Platform; creating model-driven applications; creating canvas applications; creating & using controls; creating & customizing data stores; creating business logic; creating Power Automate flows.

• Implement & Manage Solutions: 15-20%

  The applicants for the exam will also be tested based on their knowledge and skills in configuring standard data service security; testing applications & flows; securing a solution; deploying a solution; managing different versions of canvas applications.

Skills measured

• Analyze and visualize data (15-20%)
• Design business solutions (35-40%)
• Create solutions (45-50%)

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/pl-100

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Designing output

• Determination of data output requirements
• Definition of repositories for analytical data
• Determination of requirements for visualizations

Creating business logic

• Common Data Service business process flows
• Common Data Service workflows
• Formulas and events utilizing canvas applications
• Common Data Service business rules
• Business logic utilizing Power Automate flows