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Last Updated: Aug 21, 2026

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Microsoft DP-203 (Designing Data Platform Solutions on Microsoft Azure) certification is a great way to validate your hands-on experience with cloud platforms, data architecture, and database technologies. This exam is designed to determine the competency of candidates to design distributed data solutions for enterprise applications based on Azure technologies. Before you begin studying for this exam, there are a few terms that you should familiarize yourself with. First and foremost, you should understand the difference between Microsoft SQL Server, Microsoft SQL Database, and Microsoft Azure SQL Database. Exam objectives are associated with these products; therefore, it is important to know when you will be tested on each one. Microsoft DP-203 Dumps tests a candidate's knowledge of Microsoft technologies used for building a data platform and cloud environment. Microsoft DP-203 is a certification of data engineers. The certification exam is designed to test the skills of designing, deploying, and managing Microsoft HDInsight and Microsoft Azure SQL Data Warehouse clusters for business intelligence and analytics solutions.

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Microsoft offers Data Engineering on Microsoft Azure certification to those who wish to demonstrate their knowledge of data engineering on the Microsoft Cloud. The exam comprises multiple-choice questions, and each question is worth one mark. The candidates are required to attempt 60 questions in total, i.e., within 130 minutes. In order to take this exam, the candidates are required to have knowledge of the fundamental concepts related to the subject matter. Knowledge of basic cloud computing concepts (such as virtual machines, virtual networks, etc.) would be beneficial for the candidates. Microsoft DP-203 exam dumps contains an online study guide that explains all the concepts and answers to practice questions. Candidates should try to understand the concepts completely to gain good marks on the test.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203

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Data Engineering on Microsoft Azure Exam Certification Details:

Schedule ExamPearson VUE
Sample QuestionsData Engineering on Microsoft Azure Sample Questions
Exam Price$165 (USD)
Exam CodeDP-203
Number of Questions40-60
Duration150 mins
Exam NameMicrosoft Certified - Azure Data Engineer Associate
Passing Score700 / 1000
Books / TrainingDP-203T00: Data Engineering on Microsoft Azure

Certification Topics of Microsoft DP-203 Exam

  • Design and implement data storage (40-45%)

  • Design and implement data security (10-15%)

  • Monitor and optimize data storage and data processing (10-15%)

  • Design and develop data processing (25-30%)

Microsoft DP-203日本語 Exam Syllabus Topics:

SectionWeightObjectives
Design and implement data storage40–45%- Design data storage structures
  • 1. Design partitioning strategies
    • 2. Design for scalability and performance
      • 3. Recommend storage solutions for analytical workloads
        • 4. Design for data durability and availability
          - Implement data storage
          • 1. Implement data lake storage
            • 2. Implement relational and non-relational data stores
              • 3. Manage data lifecycle and retention policies
                • 4. Create and configure data storage accounts
                  Monitor and optimize data storage and data processing10–15%- Monitor data solutions
                  • 1. Log and analyze activity and usage
                    • 2. Monitor storage performance and health
                      • 3. Monitor pipeline execution and errors
                        - Optimize performance and cost
                        • 1. Improve query and processing efficiency
                          • 2. Tune pipelines and workloads
                            • 3. Optimize storage and compute resources
                              Design and develop data processing25–30%- Design data processing pipelines
                              • 1. Design batch processing solutions
                                • 2. Design orchestration and scheduling
                                  • 3. Design for data integration and transformation
                                    • 4. Design real-time processing solutions
                                      - Develop data processing solutions
                                      • 1. Implement incremental processing
                                        • 2. Manage data flows and dependencies
                                          • 3. Transform data using Spark, SQL, or other tools
                                            • 4. Implement data ingestion
                                              Design and implement data security10–15%- Implement authentication and authorization
                                              • 1. Configure identity and access management
                                                • 2. Manage access to data resources
                                                  - Protect data at rest and in transit
                                                  • 1. Manage data privacy and compliance
                                                    • 2. Implement encryption
                                                      • 3. Configure data masking and redaction
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