Microsoft DP-900 actual dump : Microsoft Azure Data Fundamentals

DP-900
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Jul 30, 2026
  • Q & A: 320 Questions and Answers

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About Microsoft DP-900 Exam Questions

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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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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%

  • Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
  • Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.
  • Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.

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

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What should you know about the Microsoft DP-900 exam?

The Microsoft DP-900 exam is 60 minutes long and consists of 40-60 questions of various types. Some of these formats may include multiple choice, active screen, drag and drop, build list, best answer, short answer, and case studies, among others. The candidates can find the examples of these question types on the official website. This certification test is designed to evaluate the competence of the professionals in using non-relational and relational data on Azure, as well as the analytics workload that is available on Azure. The exam fee is $99 and the applicants must pay it before registering for and scheduling their test. To complete this exam on the first try, they must achieve at least 720 points on a scale of 100-1000. The languages available for this test include English, German, Korean, Spanish, French, Japanese, and Simplified Chinese.

The candidates for the Microsoft DP-900 test will be measured in a variety of technical skill areas. These domains are divided into several topics. It is recommended that the applicants review the exam topics in detail and choose the appropriate study materials to prepare for the test. Below are the highlights of the objectives covered in this certification exam:

  • Explain how Non-Relational Data Works on Azure: 25-30%

    The questions from this section will evaluate the understanding of the candidates in non-relational data workloads as well as non-relational data contributions on Azure. They must be able to explain Azure File storage, Azure Cosmos DB APIs, Azure Blob Storage, and Azure Table storage. They should also be able to identify the foundational management tasks for non-relational data.

  • Explain how Relational Data Works on Azure: 25-30%

    The test takers will be required to have the ability to describe some concepts in this topic, including relational data workloads and relational Azure data services. They will also need to know how to identify the basic management functions for relational data. Additionally, they need to possess a good understanding of how to use the SQL language to describe the query methods for data.

  • Explain the Concepts of Core Data: 15-20%

    Within this subject area, the students should be able to explain different categories of core data workloads that are available. To answer questions from this subtopic, the examinees should be able to explain batch data and streaming data. They should also know the attributes of relational data and core differences between streaming and batch data. It also covers their skills in core concepts of data analytics. This requires an understanding of data visualization, basic chart types, analytics techniques, data processing concepts, as well as ETL & ELT processing.

  • Explain Analytics Workloads on Azure: 25-30%

    This domain of the DP-900 exam measures one’s knowledge of analytics workloads, data processing, and ingestion on Azure, as well as the elements of modern data warehouses. The candidates will also be tested on their understanding of data visualization within Microsoft Power BI. This involves describing the specific role of dashboards, paginated reporting, interactive reports, and workflows in Power BI.

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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
  • 1. SQL Server on Azure Virtual Machines
    • 2. Azure SQL Database
      • 3. Azure SQL Managed Instance
        • 4. Open-source databases: PostgreSQL, MySQL, MariaDB
          - Describe relational data concepts
          • 1. Relationships, keys, constraints
            • 2. Normalization
              • 3. Query data with SQL
                Describe core data concepts25–30%- Describe data workloads
                • 1. Analytical workloads
                  • 2. Transactional workloads
                    • 3. Batch and streaming data
                      - Describe roles and responsibilities
                      • 1. Data engineer, data analyst, database administrator
                        - Describe types of data
                        • 1. Structured, semi-structured, and unstructured data
                          • 2. File formats
                            Describe an analytics workload on Azure25–30%- Describe Azure analytics services
                            • 1. Azure HDInsight
                              • 2. Azure Databricks
                                • 3. Microsoft Fabric
                                  • 4. Azure Data Lake Storage Gen2
                                    • 5. Azure Synapse Analytics
                                      - Describe big data and analytics concepts
                                      • 1. Data ingestion and processing
                                        • 2. Modern data warehouse architecture
                                          • 3. Data lakes and data warehouses
                                            - Describe real-time analytics
                                            • 1. Azure Stream Analytics
                                              • 2. Stream processing concepts
                                                - Describe data visualization
                                                • 1. Data models and reports
                                                  • 2. Power BI capabilities
                                                    Describe considerations for working with non-relational data on Azure15–20%- Describe non-relational data concepts
                                                    • 1. Characteristics of NoSQL data
                                                      • 2. Use cases for non-relational data
                                                        - Describe Azure Cosmos DB
                                                        • 1. APIs and data models
                                                          • 2. Capabilities and features
                                                            • 3. Consistency levels and partitioning
                                                              - Describe Azure storage services
                                                              • 1. Blob Storage
                                                                • 2. File Storage
                                                                  • 3. Table Storage
                                                                    • 4. Queue Storage

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