Microsoft Implementing an Azure Data Solution (DP-200日本語版) : DP-200日本語
- Exam Code: DP-200日本語
- Exam Name: Implementing an Azure Data Solution (DP-200日本語版)
- Updated: Jul 23, 2026
- Q & A: 242 Questions and Answers
About Microsoft DP-200日本語 Exam
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Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx
Implementing an Azure Data Solution DP-200 Exam
Implementing an Azure Data Solution DP-200 Exam which is related to Microsoft Certified Azure Data Engineer Associate Certification. The DP-200 exam validates the ability to designing and implementing data-driven solutions using the full stack of Azure services. Data engineers, Developers, and Administrators usually hold or pursue this certification and you can expect the same job role after completion of this certification.
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Who should take the DP-200 exam
The Implementing an Azure Data Solution (beta) DP-200 Exam certification is an internationally-recognized validation that identifies persons who earn it as possessing skilled as a Microsoft Certified Azure Data Engineer Associate. If candidates want significant improvement in career growth needs enhanced knowledge, skills, and talents. Implementing an Azure Data Solution (beta) DP-200 Exam certification provides proof of this advanced knowledge and skill. If a candidate has knowledge of associated technologies and skills that are required to pass Implementing an Azure Data Solution (beta) DP-200 Exam then he should take this exam.
Microsoft DP-200 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Implement Data Storage Solutions (40-45%) | |
| Implement non-relational data stores | - implement a solution that uses Cosmos DB, Data Lake Storage Gen2, or Blob storage -implement data distribution and partitions -implement a consistency model in Cosmos DB -provision a non-relational data store -provide access to data to meet security requirements -implement for high availability, disaster recovery, and global distribution |
| Implement relational data stores | -provide access to data to meet security requirements -implement for high availability and disaster recovery -implement data distribution and partitions for Azure Synapse Analytics -implement PolyBase |
| Manage data security | -implement data masking -encrypt data at rest and in motion |
Manage and Develop Data Processing (25-30%) | |
| Develop batch processing solutions | -develop batch processing solutions by using Data Factory and Azure Databricks -ingest data by using PolyBase -implement the integration runtime for Data Factory -create linked services and datasets -create pipelines and activities -create and schedule triggers -implement Azure Databricks clusters, notebooks, jobs, and autoscaling -ingest data into Azure Databricks |
| Develop streaming solutions | -configure input and output -select the appropriate built-in functions -implement event processing by using Stream Analytics |
Monitor and Optimize Data Solutions (30-35%) | |
| Monitor data storage | -monitor relational and non-relational data stores -implement Blob storage monitoring -implement Data Lake Storage Gen2 monitoring -implement Azure Synapse Analytics monitoring -implement Cosmos DB monitoring -configure Azure Monitor alerts -implement auditing by using Azure Log Analytics |
| Monitor data processing | -monitor Data Factory pipelines - monitor Azure Databricks -monitor Stream Analytics -configure Azure Monitor alerts -implement auditing by using Azure Log Analytics |
| Optimize of Azure data solutions | -troubleshoot data partitioning bottlenecks - optimize Data Lake Storage Gen2 -optimize Stream Analytics -optimize Azure Synapse Analytics -manage the data lifecycle |
Microsoft DP-200日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Manage and develop data processing | 25-30% | - Transform data with Azure Databricks - Orchestrate data processing activities - Ingest data with Azure Data Factory - Implement data processing security - Ingest streaming data with Azure Stream Analytics |
| Topic 2: Monitor and optimize data solutions | 30-35% | - Manage disaster recovery - Troubleshoot data processing issues - Optimize performance of data solutions - Troubleshoot data storage issues - Monitor data storage and data processing |
| Topic 3: Implement data storage solutions | 40-45% | - Implement security requirements for data storage - Implement Azure Synapse Analytics - Implement data retention policies - Implement Azure Cosmos DB - Implement storage accounts |
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