- Exam Code: DP-900
- Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
- Certification Provider: Microsoft
- Corresponding Certification:Microsoft Certified: Azure Data Fundamentals
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Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%
- Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
- Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
- Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
- Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
| Topic 2: Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|
| Topic 3: Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Topic 4: Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
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