Microsoft DP-900 Questions & Answers - in .pdf
- Total Q&A: 332
- Update: Aug 11, 2026
- Price: $59.99
- Vendor: Microsoft
- Exam Code: DP-900
- Exam Name: Microsoft Azure Data Fundamentals
- Features:
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- Complete Microsoft Recommended Syllabus.
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- Exact Microsoft DP-900 Exam Questions with Correct Answers, verified by Experts with years of Experience in IT Field.
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Workload analytics on Azure
- Elements of a modern data warehouse – this sub-section is focused on Azure data services related to modern data warehousing. In addition, applicants should be familiar with modern data warehousing workload and architecture.
- Data visualization in Microsoft Power BI – this topic requires candidates to learn more about paginated reporting, dashboards, interactive reports, as well as workflow in Power BI.
- Date processing and ingestion on Azure – main topics within this subdomain include data loading common practices, Azure Data Factory components (activities, pipeline, etc.), and data processing.
- Analytics workloads – under this topic, candidates should learn more about transactional workloads as well as data warehousing workloads. Also, they have to get skilled in differentiating between an analytics and a transactional workload, know the difference between real and batch time, and be able to determining when a data warehouse solution is required.
Microsoft DP-900 Exam Syllabus Topics:
| Topic | Details |
|---|
| Topic 1 | - Identify considerations for relational data on Azure: This topic provides aspiring Microsoft data engineers with a clear understanding of relational data concepts, including schemas, tables, keys, and normalization. It further explores relational Azure data services such as Azure SQL Database and Azure Database for MySQL, highlighting their use cases and capabilities.
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| Topic 2 | - Describe considerations for working with non-relational data on Azure: Aspiring Microsoft data engineers gain insight into Azure's non-relational data capabilities in this topic. It discusses Azure Storage options, including Blob, Table, and Queue Storage, suitable for diverse scenarios. Additionally, the features and strengths of Azure Cosmos DB, such as global distribution and multi-model support, are outlined.
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| Topic 3 | - Describe an analytics workload: This topic introduces aspiring Microsoft data engineers to the components of large-scale analytics, such as data ingestion, transformation, and querying. It also discusses real-time data analytics considerations, including low-latency processing with Azure Stream Analytics. Finally, data visualization with Microsoft Power BI, focusing on interactive dashboards and reports, is covered.
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| Topic 4 | - Describe core data concepts: In this topic, aspiring Microsoft data engineers explore fundamental ways to represent data, such as structured, semi-structured, and unstructured formats. Additionally, the topic explains various data storage options, emphasizing file, database, and object storage. It also details common data workloads, including transactional, analytical, and streaming workloads. Lastly, the roles and responsibilities for managing data workloads, such as administrators, engineers, and analysts, are clarified.
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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.
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