Preparation Process for Microsoft DP-900 Exam
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.
- Study Guide
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.
- Online Learning Paths
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.
- Instructor-Led Training
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.
- Practice 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.
Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%
- Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
- Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
- Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
- Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
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Microsoft Azure Data Fundamentals Exam Certification Details:
| Exam Name | Microsoft Certified - Azure Data Fundamentals |
| Schedule Exam | Pearson VUE |
| Sample Questions | Microsoft Azure Data Fundamentals Sample Questions |
| Exam Code | DP-900 |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Duration | 60 mins |
| Exam Price | $99 (USD) |
| Books / Training | DP-900T00-A: Microsoft Azure Data Fundamentals |
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Core Data Concepts | 25-30% | - Data analytics workloads overview - Relational vs non-relational data - Types of core data workloads - Roles and responsibilities in data work |
| Non-Relational Data in Azure | 15-20% | - Non-relational data concepts - Data processing options for non-relational data - Azure storage services
|
| Analytics Workloads in Azure | 25-30% | - Data ingestion and processing - Azure analytics services
- Data analytics concepts |
| Relational Data in Azure | 20-25% | - Azure relational data services
- Relational data concepts |







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