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Updated: Jul 26, 2026

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Career Potential with Microsoft DP-900 Exam

The Microsoft Certified: Azure Data Fundamentals certification is a foundational certificate but the candidates can still get a lucrative job holding it. Some of the positions that the certified professionals can consider include an IT Administrator, a Systems Administrator, a Junior Data Analyst, a Program Manager, and an Azure Security Engineer. The salary potential for these job roles is an average of $57,630 per annum.

Microsoft DP-900 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Real Exam Qty:40–60
Exam Format:Multiple choice, Multiple select, Drag-and-drop, Scenario-based questions
Exam Price:$99 USD
Passing Score:700 / 1000
Certificate Validity Period:Lifetime
Exam Duration:60 minutes
Related Certifications:Azure Database Administrator Associate
Azure Data Engineer Associate
Azure Data Scientist Associate
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian, Arabic, Chinese (Traditional)
Recommended Training:Microsoft Learn Free Learning Path
DP-900T00: Microsoft Azure Data Fundamentals
Exam Registration:Certiport (for students/educators)
Pearson VUE
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

Schedule exam

Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian

Retirement date: none

Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

Career Prospects

  • Cloud Solutions Analyst – an early career as cloud solutions analyst or architect is quite lucrative. You can earn up to an average salary of $80k annually with even less than 1 year of working experience in this role. Once you develop in this job, the salary may rise up to the average of $126k per annum. Although the role is so much demanding, you should be ready to do proper evaluation and performance testing of a cloud solution before integration. The main task of these specialists is to ensure that the performance of the system is optimized.
  • Systems Administrator – as a sysadmin, you will be tasked with providing hands-on support when it comes to system maintenance, operation and administration. You will also be the person concerned in making recommendation of an appropriate software to be deployed. The average salary is estimated to be $63k.
  • Systems Engineer – this role will keep you engaged in the design and the development of the cloud solutions that are appropriate to the business at hand. These professionals also analyze both the system and software requirements before giving design guidelines. This role is estimated to earn you an average salary of $81k per annum, as per PayScale.

What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • This is the beta exam, would be available on or around March 31, 2020.
  • Length of Examination: 50 mins
  • Type of Questions: This test format is multiple choice.
  • Passing score: 700 / 1000
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Language: English

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

Microsoft DP-900 Deutsch Exam Syllabus Topics:

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

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