Core data concepts
This topic majorly addresses the following skills:
The learners can use different training options that Microsoft offers to prepare for the DP-900 test. The first step in your preparation process is to go over the exam objectives in detail. They can be found on the official website. The resources to help understand these topics are also available on the vendor’s webpage. Microsoft comes with a paid instructor-led training as well as free learning paths as the best prep options for your certification test.
The official practice test is also available to help the examinees gain confidence in their test-taking skills. The candidates can use it to evaluate their readiness for the real exam. They can also get familiar with the pattern of the test and develop competence in answering the exam questions. The official practice test can be found on the Microsoft website.
This option of learning is free and made up of seven paths with different modules for each. The candidates for this option are those with the ability to study on their own. The self-paced learning paths offer a comprehensive outline and lessons on the topics of the exam.
This is a paid training course that is available in-classroom or as virtual classes. The Microsoft Azure Data Fundamentals course is designed to teach the candidates the fundamentals of the concepts of database in the Cloud environments. The students will be equipped with the basic skills in the domain of Cloud data services. They will also be able to develop foundational knowledge and skills in Cloud data services within Microsoft Azure.
The Exam Ref DP-900: Microsoft Azure Data Fundamentals book is another good resource for preparation. Authored by Daniel A. Seara, Francesco Milano, this study guide covers the in-depth analysis of the topics and offers some practical skills that will help you take the test. The book also comes with the sample exam questions to help you ace your test.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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| Section | Weight | Objectives |
|---|---|---|
| Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
| Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
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