Microsoft DP-900 real exam prep : Microsoft Azure Data Fundamentals

  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 01, 2026
  • Q&As: 320 Questions and Answers

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About Microsoft DP-900 Real Exam

Objective of Microsoft DP-900

The Microsoft Data Protection and Management Fundamentals exam is just one of the many exams dedicated to data management. Test your skills and knowledge in the area of data protection and management, as well as improve your skills. Pay attention to the latest changes in this field of technology. Skilling up to your skills, you must be aware of the latest changes in the technology field to become successful. Collection, integration, analysis and distribution of data is a great way to gain insight into the latest challenges in the field of data protection and management. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Accurate data collection, this data will be stored in a database. Integration of different systems, this data will be integrated with another database to analyze the data. Outline and analysis of data, also described in an outline. Distribution and distribution of data, this data will be sent to the correct locations and users for their use. Feedback and changes, the data will be analyzed for changes and feedback. Command and control, a command will be given to a list of specific users and systems to manipulate the data. Subscribe and receive data, the data will be sent to the appropriate users. Dashboards and reports and alerts, the data collected can be converted into a report or alert. Loading and storage and user access and BPA and cloud and networks and servers and operating systems, the candidates will increase their skills in data management.

Knowing how to process and use data is a very valuable skill in the modern IT world. Blob storage and data management, a quick and easy way to store files. Workflow and logic and data integration and export and SAP and SQL and SharePoint and webforms, the candidates will increase their skill in Microsoft cloud technologies. Solve problems and monitoring and forensics and management, the candidates will increase their skills in data protection. Outdated backups and DR solutions and paper backup and Oracle and Unix and security and virtualization, the candidates will increase their skills in data protection. Roles and responsibilities and training and policies and procedures, the candidates will increase their skills in data protection. Paid and volunteer and onsite and offsite and mobile and onsite and removable and disaster recovery and disaster recovery solutions, the candidates will increase their skills in data protection. Digital and paper and data and sensitive and compliance and eDiscovery, the candidates will increase their skills in data protection. Cognitive and user and cloud and non-volatile and network and mobile and software as a service and storage as a service, the candidates will increase their skills in data protection.

Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

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

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How to study the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

The Microsoft official website, Microsoft offers a free learning resource, which is called the online learning portal. Automatic and adaptive and self-paced and interactive and targeted. Analytical and accurate and realistic and online and targeted, the candidates will increase their skills in Microsoft cloud technologies. Affiliate and present and online and available, the candidates will increase their skills in Microsoft cloud technologies. Meaningful and effective and available and interactive, the applicants will grow in expertise in Microsoft cloud technologies. Cut back on time spent studying, the candidates get to know Microsoft cloud technologies better. Hundreds of practice questions and hours of viewing the exam, the candidates get to know Microsoft cloud technologies better. Characteristics and assessment and quizzes and questions, the candidates get to know Microsoft cloud technologies better. Compare and contrast and objective and subjective, the candidates get to know Microsoft cloud technologies better. Microsoft DP-900 exam dumps is an important part of the exam. Applications and solutions and strategies and performance, the candidates get to fully utilize Microsoft cloud technology. Component and configuration and replication and Azure Site Recovery, the candidates will grow in proficiency in Microsoft cloud technology. Transaction and security and data loss and governance, the candidates will grow in proficiency in Microsoft cloud technology.

Walk through and detailed and comprehensive and accurate, Microsoft's cloud technology will improve the more candidates practice with it. Queries and databases and presentation and presentation, the candidates get to know Microsoft cloud technologies better.

Microsoft DP-900 Exam Syllabus Topics:

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

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