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100% Microsoft DP-900 Deutsch Guaranteed Success With Testing Engine

Exam Code: DP-900-Deutsch

Exam Name: Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)

Updated: Aug 03, 2026

Number: 320 Q&As with Testing Engine

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Microsoft DP-900 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Passing Score:700 / 1000
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian, Arabic, Chinese (Traditional)
Certificate Validity Period:Lifetime
Exam Price:$99 USD
Exam Duration:60 minutes
Exam Format:Multiple choice, Multiple select, Drag-and-drop, Scenario-based questions
Related Certifications:Azure Database Administrator Associate
Azure Data Engineer Associate
Azure Data Scientist Associate
Real Exam Qty:40–60
Recommended Training:DP-900T00: Microsoft Azure Data Fundamentals
Microsoft Learn Free Learning Path
Exam Registration:Pearson VUE
Certiport (for students/educators)
Sample Questions:Microsoft DP-900 Deutsch Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No prerequisites required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

Features of our Microsoft DP-900 exam preparation material

Our exam practice material provides you everything you will need to take a test at the testing center. You will be able to take your DP-900 test with confidence. Team of experts, who have an experience of more than 15 years in training IT experts and professionals, has put their efforts behind developing the exam material. Tests will be made even more effective with our comprehensive study guide, consisting of detailed review of all the topics of the Microsoft DP-900 exam. Connect with the cloud, manage information in your enterprise with Microsoft Azure Data platform. Months of effort and experience have gone into creating the most effective and high quality study training material for the Microsoft DP-900 exam. Configure security for Azure resources, implement identity protection and management with Active Directory. View and manage data in a variety of ways. This exam training material is fully compatible with the latest Microsoft exam syllabus and testing guidelines. Microsoft DP-900 exam dumps has prepared by practice test experts to give you this competitive edge. Connectivity with the cloud is key to your business. Make sure your solutions can successfully deploy in Azure, giving you a competitive edge in this fast-growing industry. Troubleshoot Azure infrastructure and networking problems. The core of this exam is the ability to manage and architect your solution reliably and securely across both on-premises and cloud.

Role of data center, it is to perform some of the most challenging tasks. Understand the workloads, you need to design and build your solutions. Learn about encryption, its advantages and considerations. Streaming and data flow, it is to sync the data in your system. Determining what makes up your data, getting insight into the different classes of information. Post this process, you need to use and architect your data solution. Learn to determine the appropriate size for your table and index structures. Managed Identities, it is to access the resource in the cloud. It is required to learn about configuration of Azure Cloud Identity. Powershell is to manage the Azure environment. Instance management is to orchestrate the deployment of an application to a cloud based infrastructure. Cli tools, it is to manage infrastructure services. Postgresql is to create, maintain, and manage database in the cloud. The objective of this exam is to test your knowledge on DP-900 exam questions. Links are provided in the study material that will take you to exact DP-900 certification exam question. Provisioning storage, it is to configure various storage options in the cloud. Scaleout solutions, it is to scale out database performance. Preps, these are preprocessing tasks that takes place while creating or enriching the data. Nosql databases, it is to manage the cloud datastore. Difference between cloud and on prem, it is to understand the importance of cloud architecture. Read the documents and online references provided in the practice exam. Love the practice exam, it is to be able to understand the entire certification study guide. Community cloud, it is to create the cloud instance in the community cloud.

The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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

What Are the Exam Topics?

Core data concepts

This topic majorly addresses the following skills:

  • 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.
  • 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.

Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Describe core data concepts25–30%- Describe types of data
  • 1. Structured, semi-structured, and unstructured data
    • 2. File formats
      - Describe data workloads
      • 1. Analytical workloads
        • 2. Batch and streaming data
          • 3. Transactional workloads
            - Describe roles and responsibilities
            • 1. Data engineer, data analyst, database administrator
              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 considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
                            • 1. File Storage
                              • 2. Table Storage
                                • 3. Queue Storage
                                  • 4. Blob Storage
                                    - Describe Azure Cosmos DB
                                    • 1. APIs and data models
                                      • 2. Capabilities and features
                                        • 3. Consistency levels and partitioning
                                          - Describe non-relational data concepts
                                          • 1. Characteristics of NoSQL data
                                            • 2. Use cases for non-relational data
                                              Describe an analytics workload on Azure25–30%- Describe Azure analytics services
                                              • 1. Azure Data Lake Storage Gen2
                                                • 2. Azure HDInsight
                                                  • 3. Microsoft Fabric
                                                    • 4. Azure Synapse Analytics
                                                      • 5. Azure Databricks
                                                        - 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

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