Microsoft Azure Data Fundamentals : DP-900

DP-900 real exams

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Jul 30, 2026

Q & A: 320 Questions and Answers

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What requirements should you fulfill before taking the Microsoft DP-900 exam?

The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.

The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

How to Register For Exam DP-900: Microsoft Azure Data Fundamentals?

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-900&examname=Exam%20DP-900:%20Microsoft%20Azure%20Data%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-900

The DP-900: Microsoft Azure Data Fundamentals exam is designed for the individuals pursuing the Microsoft Certified: Azure Data Fundamentals certification. This test evaluates their foundational knowledge of core concepts of data and how these are implemented with the use of Microsoft Azure data services. The associated certificate is an ideal choice for those professionals who want to start a career in the IT field with the main focus on working with data in Cloud. The successful candidates with this certification can continue their journey by earning more advanced options such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, it is important to mention that this exam is not a requirement for any of these certificates.

This is a foundational certification exam, so it does not require any prerequisites. However, the potential candidates should have a good knowledge of the concepts of non-relational and relational data as well as different categories of data workloads, including analytical and transactional.

In this area, there is no doubt that a person will get desired job and well-paid if they pass the Microsoft exam and gains a great certification. As you know, the Microsoft Azure Data Fundamentals certification is the most authoritative and magisterial in the world area. So you must search an effective tool to help you pass Microsoft Azure Data Fundamentals exam all the time. But in the meantime, there are thousands of problematic DP-900 exam questions pdf in the market, almost of them claimed that their Microsoft Azure Data Fundamentals exam training material can help you pass Microsoft Azure Data Fundamentals exam once. What I will tell you are that our company's DP-900 exam study guide received favorable review all the time. This Microsoft Azure Data Fundamentals best training material cohere our engineers' hearts and endeavor of experts. As for its advantages, here have many things to say.

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So, What Is the Verdict?

The Microsoft Certified: Azure Data Fundamentals validation pushes candidates to secure a job as a data engineer, data analyst, database administrator, and developer. All of these positions will come with massive earnings and diverse career prospects. But, obtaining this Microsoft designation is going to be tricky since candidates need to go through DP-900 exam. Still, because of countless books found on Amazon plus the endorsed Microsoft preparation program, toppling this exam will become a simple walk in the park!

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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
- Describe non-relational Azure data services
  • 1. Describe Azure Table storage
  • 2. Describe Azure Cosmos DB
  • 3. Describe Azure Blob storage
  • 4. Describe Azure File storage
Topic 2: Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of semi-structured data
- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
Topic 3: Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for MariaDB
  • 2. Describe Azure Database for MySQL
  • 3. Describe SQL Server on Azure Virtual Machines
  • 4. Describe Azure Database for PostgreSQL
  • 5. Describe Azure SQL Managed Instance
  • 6. Describe Azure SQL family of products
  • 7. Describe Azure SQL Database
- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization
Topic 4: Describe an analytics workload on Azure25-30%- Describe Azure data analytics services
  • 1. Describe Azure HDInsight
  • 2. Describe Azure Synapse Analytics
  • 3. Describe Azure Databricks
  • 4. Describe Azure Data Factory
  • 5. Describe Microsoft Fabric
  • 6. Describe Azure Stream Analytics
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI reports and dashboards
  • 2. Describe Power BI
  • 3. Describe Power BI tools and workflow
- Describe analytics concepts
  • 1. Describe data warehousing
  • 2. Describe analytical workloads
  • 3. Describe ETL and ELT processes
  • 4. Describe transactional workloads

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