Microsoft DP-900 Q&A - in .pdf

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Jul 26, 2026
  • Q & A: 320 Questions and Answers
  • PDF Price: $59.99
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Microsoft DP-900 Q&A - Testing Engine

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Jul 26, 2026
  • Q & A: 320 Questions and Answers
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Achieving the Microsoft DP-900 certification demonstrates a candidate's proficiency in data fundamentals and their ability to use Microsoft Azure to manage, process, and store data. Microsoft Azure Data Fundamentals certification is an excellent starting point for individuals who are interested in pursuing a career in data science or data analysis. Additionally, it can be beneficial for individuals who work with data in their current role and want to improve their knowledge and skills.

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

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Microsoft DP-900 certification exam, also known as the Microsoft Azure Data Fundamentals exam, is designed to test one's foundational knowledge of data concepts and how they are applied in Microsoft Azure. Microsoft Azure Data Fundamentals certification is intended for individuals who are just starting their journey in the field of data and aspire to work with Azure data services. DP-900 exam is aimed at database administrators, data analysts, and developers who want to enhance their knowledge of Azure data services and their capabilities.

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What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Language: English
  • This is the beta exam, would be available on or around March 31, 2020.
  • Passing score: 700 / 1000
  • Type of Questions: This test format is multiple choice.
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Length of Examination: 50 mins

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Microsoft DP-900 Exam Syllabus Topics:

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

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