What experience level is required for Design and Integrate Data into Microsoft Dataverse (PL-400)?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete Design and Integrate Data into Microsoft Dataverse (PL-400)?

The total duration of the course is approximately 1 hour 12 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

Data Science

Design and Integrate Data into Microsoft Dataverse (PL-400)

Name: Design and Integrate Data into Microsoft Dataverse (PL-400)
Availability: InStock
Rating: 3 (25 reviews)

Microsoft Dataverse lets you securely store and manage data for business applications. This course teaches you how to implement security features and roles, table designing, and relationships, and help you prepare for the PL-400 certification exam!

Intermediate FriendlySelf-Paced Learning

Reviews ( 25 )

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🧠 Good for intermediate learners

⚠ May feel basic for advanced users

Learning Journey Context

Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Career Relevance

Relevant for professionals pursuing roles within Data Science.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

1 hour 12 minutes

pluralsight

Intermediate

Self-Paced Online

Core Courses

pluralsight

English

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What You’ll Learn

Building out the data infrastructure to enable business insight can be time consuming and expensive. In this course, Design and Integrate Data into Microsoft Dataverse (PL-400), you'll learn to how to store different types of data, expose different APIs, and use a mixture of security models in Dataverse. First, you'll explore how to configure security roles and profiles. Next, you'll discover columns, tables and entity relationships. Finally, you'll learn how to configure change tracking to synchronize data. When you're finished with this course, you'll have the skills and knowledge of Microsoft Dataverse needed to securely store and integrate your data.

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