Microsoft Azure Data Fundamentals : DP-900

DP-900 pass collection

Exam Code: DP-900

Exam Name: Microsoft Azure Data Fundamentals

Updated: Aug 06, 2026

Q & A: 320 Questions and Answers

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About Microsoft Azure Data Fundamentals : DP-900 Exam

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How to operate with non-relational data on Azure

The main concepts covered in this domain include:

  • Non relation data workloads – this sub-section mostly emphasizes the features of non-relational data, when to use it, one's knowledge of the variants of NoSQL and non-relational data, and the ability to choose and recommend appropriate data store.
  • Offerings non-relational data on Azure – within this topic, the learner will be conversant with the following in Azure: data services, Cosmos DB APIs, Table storage, Blob storage, File storage.
  • Core administration tasks – this sub-domain covers the processes of deployment and provisioning when it comes to non-relational data, data security, diverse tools for management, and defining the issues with connectivity.

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

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Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is not a very difficult certification exam. The general IT certification exams are harder to take than this exam. Helps one to get into IT field easily. Providing an opportunity to work with Microsoft Azure cloud solutions. Share or reuse data, information, services and applications between on-premises deployments and the cloud. Reach new heights with on-premises and cloud solutions. Microsoft Azure Data Fundamentals Certification Exam is looking for the candidates looking at Microsoft Azure certification. Remember, this certification has been developed by the Microsoft to provide job opportunities for you. Meaning, if you are ready to learn, you will definitely get the job. It is the most important exam for the professionals. The Microsoft DP-900 exam covers all about data engineering, development, security and management. Oltp is a vendor neutral exam. They have developed the 4 core knowledge areas i.e., data engineering, development, security and management. Tasks covered in the DP-900 exam including the designing and implementing secure data solutions, designing, organizing and analyzing data etc. Build infrastructure delivering advanced data solutions with advanced storage, processing, and analysis. Data Virtualization helps to abstract data in cloud-based infrastructure. Updated Microsoft DP-900 exam is a complete exam guide that helps you to build, implement and manage data solutions using the various components of Azure Data platform. Microsoft DP-900 exam dumps provide you 100% pass guarantee. Passing the DP-900 exam is not very difficult. DP-900 test questions are prepared by industry experts.

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Microsoft DP-900 Exam Syllabus Topics:

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

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