Exam Code: DP-203
Exam Name: Data Engineering on Microsoft Azure (DP-203日本語版)
Certification Provider: Microsoft
Corresponding Certification: Microsoft Certified: Azure Data Engineer Associate
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Learn about the benefits of Microsoft DP-203 Certification

Microsoft DP-203 certification is a professional certification given to the candidates who successfully complete the DP-203 exam. Microsoft Data Platform with Hadoop Developer 203: Administration certification is an international standard for demonstrating competence in data platform administration. The exam validates the candidate's ability to administer and develop data platforms on the cloud-based environment of Microsoft Azure. The DP-203 certification is a globally recognized credential that can enable you to stand out from your peers and make your career more rewarding. The DP-203 course will help you to become a specialist who is able to manage, maintain and develop applications running on Hadoop frameworks on the Azure cloud platform. Microsoft DP-203 Dumps is designed to achieve your goal. The DP-203 training course covers the fundamental concepts of cloud computing, creating and managing virtual machines, storage accounts, load balancers, web and worker roles, databases, HDInsight, etc. It also covers how to implement security infrastructure and management of virtual networks using PowerShell commands. You will receive lifetime access to the content along with practice exam questions from real exams after each module. The DP-203 course provides an opportunity for career advancement as it enables you to enhance your expertise in developing solutions with the Hadoop framework and other data sources using the Microsoft Azure cloud platform. It will also help you boost your proficiency in implementing. Correct mapping and auditing exception testing for data.

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

What should I know before taking the Microsoft DP-203 exam?

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.

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Languages: English, Chinese (Simplified), Japanese, Korean

Retirement date: none

This exam measures your ability to accomplish the following technical tasks: design and implement data storage; design and develop data processing; design and implement data security; and monitor and optimize data storage and data processing.

Microsoft DP-203日本語 Exam Syllabus Topics:

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

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