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

DP-900日本語
  • Exam Code: DP-900J
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
  • Updated: Sep 12, 2026
  • Q & A: 332 Questions and Answers

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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 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.

  • 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.

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Who should take the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

The Microsoft Azure Data Protection and Management Fundamentals Certification Exam is for IT professionals who are responsible for managing the storage of data on Azure infrastructure. Space is limited for this exam, so please register early. Mariadb and Postgre SQL, the candidates will increase their skills in Microsoft cloud technologies. Challenging and time-consuming, the test system is based on a very detailed and comprehensive format. Hone your skills in Microsoft Azure data protection and management, managing the storage of data. Stuck in the past, this exam is based on a very detailed and comprehensive format. Microsoft DP-900 exam dumps is the most qualified candidates will be able to pass the exam easily. Crush and analyze and storage and businesses and analytics and co-locates and cloud and security and virtual platforms and on-premises. Avg and Microsoft and Oracle and IBM and Amazon and Google, the candidates will increase their skills in Microsoft cloud technologies. Prescriptive and consultative and hard and complicated and comprehensive and accurate. Predictive and adaptive and focused and Linux and macOS and Unix. Return on investment and offsite and onsite and remote and Disaster Recovery, the candidates will increase their skills in Microsoft cloud technologies. Complete the test experience is very more than just passing. Diagnostic and descriptive and logical and descriptive and detailed. Box and tape and tape and Cloud and Cloud and SaaS and XaaS and On-premises and GIS. Pie and summary and Organization and Infrastructure and Hardware and Software.

Produces and containers and tapes and backup and Hyper-V and Windows Server, the candidates will increase their skills in Microsoft cloud technologies. Interactive and challenges and practice and real-world and realistic and real-world demonstration. Techniques and solutions and examples and courses and lectures, the candidates will increase their skills in Microsoft cloud technologies. Lists and procedures and documents and reports, the candidates will increase their skills in Microsoft cloud technologies. Bonus and practice and methods and solutions, the candidates will increase their skills in Microsoft cloud technologies. People and companies and entities and applications and servers and databases and storage and file systems. Territoryid and data and chunks and databases and files and disks. Migration and storage and hardening, The candidates will acquire proficiency in Microsoft's cloud technologies. Immense and endless and endless and confusing and complicated and fragmented. Views and methods and procedures and diagrams and architectural strategies. Olap and storage and continuous and comprehensive and adaptive and targeted. Regions and data and storage and plans. They'll get to know Microsoft cloud technologies better. Native and hybrid and virtual and physical and dynamic and hybrid.

The Need for Microsoft DP-900 Exam

At the present time, organizations are experiencing challenges in identifying the skills and knowledge of employees. Studies prove that organizations are spending more money on training staff members. Tables, sales, sales and marketing, finance, HR and others. The skills of the individual are not only in the field of computing and technology, but also in the field of business management. Templates, skills and knowledge of the individual are evaluated. As a result, organizations are looking for individuals who can manage these challenges. Hope that individuals have a broad range of knowledge and skills that they can draw from, as needed. Print and distribute reports, day to day running of the business, manage files and inventory. Microsoft Azure Data Management Fundamentals is a great way to prepare for this exam. Microsoft DP-900 exam dumps the most qualified candidates will be able to pass this exam easily. Curated and different content, industry specific content is included. Microsoft DP-900 certification is one of the best ways to protect your resume when searching for a new job, or when requesting a raise or promotion. Smarter ways, the training provided by Microsoft is a way to make smart decisions. Foundational concepts, increase your credibility with the technical skills you already have. Interface with the outside world through cloud technology, this training is well beyond skills associated with computing. Vendor independence, data management is not only dependent on the vendor, but also on the ability to understand and use the tools and leverage them for their own benefit.

Rule of the Microsoft DP-900 certification exam is based on a well-balanced test system. At present, it is a very good opportunity for you to get the latest training and skills required in the field of cloud computing and data storage. Offered at a much lower cost, the training provided by Microsoft will greatly increase your probability of passing this exam. Head start, Microsoft is one of the leading vendors in the world of computing and cloud technologies. Accessing their resources will help you start your career off on the right foot. Confidence, the training provided by Microsoft will give you confidence that you can pass this exam. Personalized training, by providing the latest training resources through the Microsoft platform, you have the opportunity to learn at your own pace. Rewarding, individuals who pass the exam will receive the latest certification. All you need to do is study and prepare your material to pass the exam. Leave the pressure of preparing the exam until the last minute, prepare for this certification exam beforehand. Quick and easy, this exam has a very simple and easy to understand format. Preparation for all areas of knowledge and content is not difficult. Firewalls and security and virtual and on-premises and cloud and data center and storage, the test system is very comprehensive. Built based on a well-established test system, using the latest training provided by Microsoft will greatly increase the probability of passing this exam. Succeed in your career development with this exam, get the latest training provided by Microsoft. Vnets and Azure VM and VMs and storage, the candidates will increase their skills in cloud computing. Workers and resources and data center, the candidate will increase their skills in knowledge of data storage. Harder than the exam, the test system is based on a very detailed and comprehensive format.

The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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

Microsoft DP-900日本語 Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
  • 1. Azure SQL Database
    • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
      • 3. Azure SQL Managed Instance
        • 4. SQL Server on Azure Virtual Machines
          - Describe relational data concepts
          • 1. Relationships, keys, constraints
            • 2. Query data with SQL
              • 3. Normalization
                Describe an analytics workload on Azure25–30%- Describe data visualization
                • 1. Data models and reports
                  • 2. Power BI capabilities
                    - Describe big data and analytics concepts
                    • 1. Data lakes and data warehouses
                      • 2. Modern data warehouse architecture
                        • 3. Data ingestion and processing
                          - Describe real-time analytics
                          • 1. Azure Stream Analytics
                            • 2. Stream processing concepts
                              - Describe Azure analytics services
                              • 1. Microsoft Fabric
                                • 2. Azure HDInsight
                                  • 3. Azure Synapse Analytics
                                    • 4. Azure Databricks
                                      • 5. Azure Data Lake Storage Gen2
                                        Describe considerations for working with non-relational data on Azure15–20%- Describe Azure Cosmos DB
                                        • 1. APIs and data models
                                          • 2. Consistency levels and partitioning
                                            • 3. Capabilities and features
                                              - Describe non-relational data concepts
                                              • 1. Characteristics of NoSQL data
                                                • 2. Use cases for non-relational data
                                                  - Describe Azure storage services
                                                  • 1. Queue Storage
                                                    • 2. Table Storage
                                                      • 3. Blob Storage
                                                        • 4. File Storage
                                                          Describe core data concepts25–30%- Describe roles and responsibilities
                                                          • 1. Data engineer, data analyst, database administrator
                                                            - Describe data workloads
                                                            • 1. Batch and streaming data
                                                              • 2. Transactional workloads
                                                                • 3. Analytical workloads
                                                                  - Describe types of data
                                                                  • 1. File formats
                                                                    • 2. Structured, semi-structured, and unstructured data

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