Microsoft DP-900日本語 : Microsoft Azure Data Fundamentals (DP-900日本語版)

  • Exam Code: DP-900日本語
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Aug 10, 2026   Q&As: 320 Questions and Answers

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About Microsoft DP-900日本語 Exam

Explain Analytics Workloads on Azure: 25-30%

  • Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
  • Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
  • Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
  • Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

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Our exam practice material provides you everything you will need to take a test at the testing center. You will be able to take your DP-900 test with confidence. Team of experts, who have an experience of more than 15 years in training IT experts and professionals, has put their efforts behind developing the exam material. Tests will be made even more effective with our comprehensive study guide, consisting of detailed review of all the topics of the Microsoft DP-900 exam. Connect with the cloud, manage information in your enterprise with Microsoft Azure Data platform. Months of effort and experience have gone into creating the most effective and high quality study training material for the Microsoft DP-900 exam. Configure security for Azure resources, implement identity protection and management with Active Directory. View and manage data in a variety of ways. This exam training material is fully compatible with the latest Microsoft exam syllabus and testing guidelines. Microsoft DP-900 exam dumps has prepared by practice test experts to give you this competitive edge. Connectivity with the cloud is key to your business. Make sure your solutions can successfully deploy in Azure, giving you a competitive edge in this fast-growing industry. Troubleshoot Azure infrastructure and networking problems. The core of this exam is the ability to manage and architect your solution reliably and securely across both on-premises and cloud.

Role of data center, it is to perform some of the most challenging tasks. Understand the workloads, you need to design and build your solutions. Learn about encryption, its advantages and considerations. Streaming and data flow, it is to sync the data in your system. Determining what makes up your data, getting insight into the different classes of information. Post this process, you need to use and architect your data solution. Learn to determine the appropriate size for your table and index structures. Managed Identities, it is to access the resource in the cloud. It is required to learn about configuration of Azure Cloud Identity. Powershell is to manage the Azure environment. Instance management is to orchestrate the deployment of an application to a cloud based infrastructure. Cli tools, it is to manage infrastructure services. Postgresql is to create, maintain, and manage database in the cloud. The objective of this exam is to test your knowledge on DP-900 exam questions. Links are provided in the study material that will take you to exact DP-900 certification exam question. Provisioning storage, it is to configure various storage options in the cloud. Scaleout solutions, it is to scale out database performance. Preps, these are preprocessing tasks that takes place while creating or enriching the data. Nosql databases, it is to manage the cloud datastore. Difference between cloud and on prem, it is to understand the importance of cloud architecture. Read the documents and online references provided in the practice exam. Love the practice exam, it is to be able to understand the entire certification study guide. Community cloud, it is to create the cloud instance in the community cloud.

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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%

  • Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.
  • Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
  • Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Relational Data in Azure20-25%- Relational data concepts
- Azure relational data services
  • 1. Azure SQL Managed Instance
    • 2. SQL Server on Azure VMs
      • 3. Azure SQL Database
        - Querying relational data
        Core Data Concepts25-30%- Roles and responsibilities in data work
        - Types of core data workloads
        - Relational vs non-relational data
        - Data analytics workloads overview
        Non-Relational Data in Azure15-20%- Non-relational data concepts
        - Azure storage services
        • 1. Azure Table Storage
          • 2. Azure Cosmos DB
            • 3. Azure Blob Storage
              - Data processing options for non-relational data
              Analytics Workloads in Azure25-30%- Data visualization and reporting
              - Data ingestion and processing
              - Azure analytics services
              • 1. Azure Synapse Analytics
                • 2. Power BI
                  • 3. Azure Data Lake Storage
                    - Data analytics concepts

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