Microsoft DP-900 Deutsch Q&A - in .pdf

  • DP-900 Deutsch pdf
  • Exam Code: DP-900 Deutsch
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
  • Updated: Oct 04, 2026
  • Q & A: 332 Questions and Answers
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The benefit of obtaining the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certification

The Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is a valuable asset to networking professionals. With this certification, one will have the ability to get a job with the industry. The certification will provide work experience and skills that are directly related with the industry. Fields of work that require this certification are Business Intelligence and Data Warehousing. Life of a certified individual is filled with great opportunities and success if the individual is talented and passionate. Flow of work for this certification is continuous and increasing. Beginner and experienced persons can get jobs and skill development through this certification. Covering this certification will enhance knowledge and understanding of Business Intelligence and Data Warehousing. Explorer and quick learner can also take the benefit of this certification. Email, instant messaging, chat and news details will be helpful in this certification. Scenario based questions are also beneficial in this certificate. Computers and emailing and social media and internet applications will be useful in this certification. Code lines and QR code and data tables will be helpful in this certification. Desktop and laptops and monitors and tablets and projectors will be helpful in this certification. Microsoft DP-900 exam dumps can help you pass exam in first try. Template questions will help you cover most of the exam area. Computer and devices and devices and servers, they help you memorize the most important concepts in the exam. Ssms and docs and spms and email, they help you understand the online learning portal. Testing and assessment and practice questions, they help you learn the most important material to study. Paginated and dynamic and interactive and live, they are the best practice guides to learn for the exam. Bar and charts and tables and flowcharts, they help you understand the concepts in the best possible manner. Objectives and scenarios and results and prerequisites, they help you learn the concepts deeply.

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What requirements should you fulfill before taking the Microsoft DP-900 exam?

The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.

The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.

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

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What Are the Exam Topics?

Core data concepts

This topic majorly addresses the following skills:

  • Various data workloads – this involves an overview of the features of relational data as well as the description, similarities and differences between streaming data and batch data as well as.
  • Main concepts of data analytics – data visualization, business intelligence (BI), analytics techniques (diagnostic, predictive, descriptive, cognitive, prescriptive) and basic chart types such as pie charts and bar charts are the main concepts addressed in this category. Also, data processing techniques are covered along with ETL processing.

Microsoft DP-900 Deutsch 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 Azure storage services
        • 1. Blob Storage
          • 2. Queue Storage
            • 3. Table Storage
              • 4. File Storage
                - Describe non-relational data concepts
                • 1. Use cases for non-relational data
                  • 2. Characteristics of NoSQL data
                    Describe an analytics workload on Azure25–30%- Describe Azure analytics services
                    • 1. Azure Synapse Analytics
                      • 2. Azure Databricks
                        • 3. Azure Data Lake Storage Gen2
                          • 4. Microsoft Fabric
                            • 5. Azure HDInsight
                              - Describe data visualization
                              • 1. Power BI capabilities
                                • 2. Data models and reports
                                  - Describe real-time analytics
                                  • 1. Stream processing concepts
                                    • 2. Azure Stream Analytics
                                      - Describe big data and analytics concepts
                                      • 1. Data lakes and data warehouses
                                        • 2. Data ingestion and processing
                                          • 3. Modern data warehouse architecture
                                            Describe core data concepts25–30%- Describe types of data
                                            • 1. File formats
                                              • 2. Structured, semi-structured, and unstructured data
                                                - Describe roles and responsibilities
                                                • 1. Data engineer, data analyst, database administrator
                                                  - Describe data workloads
                                                  • 1. Transactional workloads
                                                    • 2. Analytical workloads
                                                      • 3. Batch and streaming data
                                                        Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                                                        • 1. Azure SQL Database
                                                          • 2. SQL Server on Azure Virtual Machines
                                                            • 3. Azure SQL Managed Instance
                                                              • 4. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                                - Describe relational data concepts
                                                                • 1. Normalization
                                                                  • 2. Query data with SQL
                                                                    • 3. Relationships, keys, constraints
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