] DP-900日本語 Learning Materials: Microsoft Azure Data Fundamentals (DP-900日本語版) - DP-900日本語 Actual Lab Questions

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

  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Jul 21, 2026
  • Q & A: 320 Questions and Answers

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About Microsoft DP-900日本語 Exam Questions

What requirements should you fulfill before taking the Microsoft DP-900 exam?

The candidates for this certification exam are those individuals who want to validate their foundational-level experience in working with data within Cloud. They should possess the basic knowledge and skills in the domain of core data concepts. They also need to have an understanding of how these are implemented with the use of Microsoft Azure data services.

The applicants do not have to fulfill any requirements to take the Microsoft DP-900 test or get the associated certification. However, they must be familiar with different concepts of non-relational and relational data. They should also know various types of data workloads that are available, including analytical and transactional. Additionally, the students must develop mastery of the exam topics before sitting for this test.

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

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Objective of Microsoft DP-900

The Microsoft Data Protection and Management Fundamentals exam is just one of the many exams dedicated to data management. Test your skills and knowledge in the area of data protection and management, as well as improve your skills. Pay attention to the latest changes in this field of technology. Skilling up to your skills, you must be aware of the latest changes in the technology field to become successful. Collection, integration, analysis and distribution of data is a great way to gain insight into the latest challenges in the field of data protection and management. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Accurate data collection, this data will be stored in a database. Integration of different systems, this data will be integrated with another database to analyze the data. Outline and analysis of data, also described in an outline. Distribution and distribution of data, this data will be sent to the correct locations and users for their use. Feedback and changes, the data will be analyzed for changes and feedback. Command and control, a command will be given to a list of specific users and systems to manipulate the data. Subscribe and receive data, the data will be sent to the appropriate users. Dashboards and reports and alerts, the data collected can be converted into a report or alert. Loading and storage and user access and BPA and cloud and networks and servers and operating systems, the candidates will increase their skills in data management.

Knowing how to process and use data is a very valuable skill in the modern IT world. Blob storage and data management, a quick and easy way to store files. Workflow and logic and data integration and export and SAP and SQL and SharePoint and webforms, the candidates will increase their skill in Microsoft cloud technologies. Solve problems and monitoring and forensics and management, the candidates will increase their skills in data protection. Outdated backups and DR solutions and paper backup and Oracle and Unix and security and virtualization, the candidates will increase their skills in data protection. Roles and responsibilities and training and policies and procedures, the candidates will increase their skills in data protection. Paid and volunteer and onsite and offsite and mobile and onsite and removable and disaster recovery and disaster recovery solutions, the candidates will increase their skills in data protection. Digital and paper and data and sensitive and compliance and eDiscovery, the candidates will increase their skills in data protection. Cognitive and user and cloud and non-volatile and network and mobile and software as a service and storage as a service, the candidates will increase their skills in data protection.

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Certification Paths Available

Upon earning Microsoft Certified: Azure Data Fundamentals, you will be able to advance your career to higher-level certifications. For instance, it can be a starting point for Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Database Administrator Associate. However, this fundamental accreditation is not a requirement for earning any of the next certificates. Therefore, all you have to do is to pass Microsoft DP-900 exam and prepare to face the real-world challenges as you advance in your career.

The candidates for the Microsoft DP-900 test will be measured in a variety of technical skill areas. These domains are divided into several topics. It is recommended that the applicants review the exam topics in detail and choose the appropriate study materials to prepare for the test. Below are the highlights of the objectives covered in this certification exam:

  • Explain how Relational Data Works on Azure: 25-30%

    The test takers will be required to have the ability to describe some concepts in this topic, including relational data workloads and relational Azure data services. They will also need to know how to identify the basic management functions for relational data. Additionally, they need to possess a good understanding of how to use the SQL language to describe the query methods for data.

  • Explain how Non-Relational Data Works on Azure: 25-30%

    The questions from this section will evaluate the understanding of the candidates in non-relational data workloads as well as non-relational data contributions on Azure. They must be able to explain Azure File storage, Azure Cosmos DB APIs, Azure Blob Storage, and Azure Table storage. They should also be able to identify the foundational management tasks for non-relational data.

  • Explain Analytics Workloads on Azure: 25-30%

    This domain of the DP-900 exam measures one’s knowledge of analytics workloads, data processing, and ingestion on Azure, as well as the elements of modern data warehouses. The candidates will also be tested on their understanding of data visualization within Microsoft Power BI. This involves describing the specific role of dashboards, paginated reporting, interactive reports, and workflows in Power BI.

  • Explain the Concepts of Core Data: 15-20%

    Within this subject area, the students should be able to explain different categories of core data workloads that are available. To answer questions from this subtopic, the examinees should be able to explain batch data and streaming data. They should also know the attributes of relational data and core differences between streaming and batch data. It also covers their skills in core concepts of data analytics. This requires an understanding of data visualization, basic chart types, analytics techniques, data processing concepts, as well as ETL & ELT processing.

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Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for MySQL
  • 2. Describe Azure SQL Database
  • 3. Describe Azure Database for MariaDB
  • 4. Describe Azure Database for PostgreSQL
  • 5. Describe SQL Server on Azure Virtual Machines
  • 6. Describe Azure SQL Managed Instance
  • 7. Describe Azure SQL family of products
- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
Topic 2: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational Azure data services
  • 1. Describe Azure Table storage
  • 2. Describe Azure Cosmos DB
  • 3. Describe Azure Blob storage
  • 4. Describe Azure File storage
- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
Topic 3: Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of semi-structured data
  • 2. Describe features of structured data
  • 3. Describe features of unstructured data
- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
Topic 4: Describe an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI tools and workflow
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI
- Describe Azure data analytics services
  • 1. Describe Azure Stream Analytics
  • 2. Describe Azure HDInsight
  • 3. Describe Microsoft Fabric
  • 4. Describe Azure Data Factory
  • 5. Describe Azure Databricks
  • 6. Describe Azure Synapse Analytics
- Describe analytics concepts
  • 1. Describe data warehousing
  • 2. Describe transactional workloads
  • 3. Describe ETL and ELT processes
  • 4. Describe analytical workloads

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