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DP-200日本語
  • Exam Code: DP-200
  • Exam Name: Implementing an Azure Data Solution (DP-200日本語版)
  • Updated: Jul 14, 2026
  • No. of Questions: 242 Questions and Answers
  • Download Limit: Unlimited
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Potential Candidates and Requirements

According to the fact that this is an associate-level certification track, there are no strict requirements that you must fulfill except passing two exams. Thus, if you are planning to take Microsoft DP-200, you can be an Azure Data Engineer who wants to verify the skills to get certified or a specialist who is just starting an IT career. In both cases, you should have a solid knowledge of the content and be able to clear the tests with high results.

A potential candidate for the Microsoft DP-200 exam should know how to identify and meet the requirements by collaborating with the business stakeholders to implement data solutions that use Azure data services. Besides that, it is required that the individuals have the relevant skills in implementing various data solutions, such as Azure Blob storage, Azure Databricks, Azure Data Factory, Azure Stream Analytics, Azure Synapse Analytics, and Azure Cosmos DB. Also, they need to be able to ingest batch and streaming data, provision data storage services, identify performance bottlenecks, implement security requirements, access external data sources, transform data, and implement data retention policies. /

Reference: https://www.microsoft.com/en-us/learning/exam-dp-200.aspx

Microsoft Implementing an Azure Data Solution Exam Certification Details:

Exam CodeDP-200
Exam NameMicrosoft Certified - Azure Data Engineer Associate
Sample QuestionsMicrosoft Implementing an Azure Data Solution Sample Questions
Number of Questions40-60
Schedule ExamPearson VUE
Books / TrainingCourse DP-200T01-A: Implementing an Azure Data Solution
Exam Price$165 (USD)
Passing Score700 / 1000
Duration120 mins

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Exam DP-200: Implementing an Azure Data Solution

Candidates for this exam are Microsoft Azure data engineers who collaborate with business stakeholders to identify and meet the data requirements to implement data solutions that use Azure data services.

Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.

Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics (formerly Azure SQL DW), Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

Part of the requirements for: Microsoft Certified: Azure Data Engineer Associate

Download exam skills outline

Microsoft DP-200 Exam Syllabus Topics:

TopicDetails

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:

SectionWeightObjectives
Topic 1: Implement Data Storage Solutions40-45- Implement non-relational data stores
- Implement relational data stores
- Manage data security
Topic 2: Monitor and Optimize Data Solutions30-35- Monitor data storage
- Monitor data processing
- Optimize Azure data solutions
Topic 3: Manage and Develop Data Processing25-30- Develop streaming solutions
- Develop batch processing solutions

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