This module teaches you how to create valid templates and gives you recommendations that you can follow by using the ARM Template Test Toolkit.

This course teaches how to use asserts in Python to validate data cleanliness. Learn to compare indexes, Series, and DataFrames, compose quantitative and logical tests, and apply them for data cleaning.

This learning path prepares you to complete the app maker challenge project and validate your skills as an app maker. You should have already completed the following modules as part of the PL-100: Microsoft Power Platform App Maker course. If you haven't, it's recommended that you take some time to complete these modules before beginning the challenge project.

This learning path prepares you to complete the Dynamics 365 Business Central Functional Consultant challenge project and validate your skills.

This learning path prepares you to complete the Dynamics 365 Sales Functional Consultant challenge project and validate your skills. You should have already completed the following modules as part of the MB-210: Dynamics 365 Sales Functional Consultant course. If you haven't, it's recommended that you take some time to complete these modules before beginning the challenge project.

This learning path prepares you to complete the Microsoft Power Platform Solution Architect challenge project and validate your skills. You should have already completed the following modules as part of the PL-600: Microsoft Power Platform Solution Architect course. If you haven't, it's recommended that you take some time to complete these modules before beginning the challenge project.

This learning path prepares you to complete the Microsoft Power Platform Functional Consultant challenge project and validate your skills. You should have already completed the following modules as part of the PL-200: Microsoft Power Platform Functional Consultant course. If you haven't, it's recommended that you take some time to complete these modules before beginning the challenge project.

In this workshop you're analyzing and architecting solutions based on a series of sheets in a planning workbook. You're choosing the company to use, so we've given you detail based on industry standards.

Discover how to validate constraints for JavaBeans in Java microservices. Learn how to use annotations and the Java Bean Validation API to ensure the correctness of data and maintain consistency within microservices.

Data validation is one of the most critical aspects when designing and building a high-performance system. This course will teach you how to properly validate input data while using Spring Web 5.

Data validation is one of the most critical aspects when designing and building a high quality system. This course will teach you how to properly validate input data while using Spring Web 6.

Verifying that your data meet certain assumptions can be key to the success of your analytics or programming project. This course will introduce assertions, a functional tool that allows you to verify assumptions about your data.