Microsoft DP-900 dumps - in .pdf

DP-900 pdf
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 31, 2026
  • Q & A: 332 Questions and Answers
  • PDF Price: $59.99
  • Free Demo

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  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 31, 2026
  • Q & A: 332 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft DP-900 dumps - Testing Engine

DP-900 Testing Engine
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 31, 2026
  • Q & A: 332 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.

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To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.

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

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Microsoft DP-900 Exam Syllabus Topics:

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

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