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

Exam Code: DP-900J
Exam Name: Microsoft Azure Data Fundamentals (DP-900日本語版)
Updated: Sep 08, 2026 Q & A: 332 Questions and Answers

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Microsoft DP-900 exam covers the fundamentals of data storage, processing, and analysis in Azure. It also covers the key concepts of data security, compliance, and privacy. DP-900J exam tests your knowledge of Azure data services such as Azure SQL Database, Azure Cosmos DB, Azure Data Factory, and Azure Stream Analytics. It also covers the use of Azure Synapse Analytics, Azure Databricks, and Azure HDInsight for big data processing and analysis.

Microsoft DP-900 (Microsoft Azure Data Fundamentals) Exam is an entry-level certification exam that is designed to test the fundamental concepts of cloud-based data solutions. DP-900J exam is ideal for anyone who is looking to start a career in data management, data analytics, or cloud computing. DP-900J exam is designed to test your knowledge of Azure data services, data storage options, data processing technologies, and data security.

The Microsoft Azure Data Fundamentals (DP-900日本語版) certification exam is designed to assess the candidate's knowledge of core Azure data services like Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, and Azure Stream Analytics. DP-900J exam also covers essential concepts related to data security and compliance, including data privacy, data encryption, and Azure Active Directory. Candidates who pass DP-900J exam will have a solid understanding of how to work with data in the Azure environment, which is an essential skill for anyone interested in data management and analytics.

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 an analytics workload on Azure	25–30%	- Describe Azure analytics services 1. Microsoft Fabric 2. Azure Databricks 3. Azure Data Lake Storage Gen2 4. Azure HDInsight 5. Azure Synapse Analytics - Describe big data and analytics concepts 1. Data ingestion and processing 2. Data lakes and data warehouses 3. Modern data warehouse architecture - Describe real-time analytics 1. Azure Stream Analytics 2. Stream processing concepts - Describe data visualization 1. Data models and reports 2. Power BI capabilities
Topic 2: Describe core data concepts	25–30%	- Describe data workloads 1. Transactional workloads 2. Analytical workloads 3. Batch and streaming data - Describe types of data 1. File formats 2. Structured, semi-structured, and unstructured data - Describe roles and responsibilities 1. Data engineer, data analyst, database administrator
Topic 3: Identify considerations for relational data on Azure	20–25%	- Describe relational data concepts 1. Relationships, keys, constraints 2. Query data with SQL 3. Normalization - Describe Azure relational data services 1. Open-source databases: PostgreSQL, MySQL, MariaDB 2. SQL Server on Azure Virtual Machines 3. Azure SQL Managed Instance 4. Azure SQL Database
Topic 4: Describe considerations for working with non-relational data on Azure	15–20%	- Describe Azure storage services 1. File Storage 2. Table Storage 3. Queue Storage 4. Blob Storage - Describe non-relational data concepts 1. Use cases for non-relational data 2. Characteristics of NoSQL data - Describe Azure Cosmos DB 1. Consistency levels and partitioning 2. APIs and data models 3. Capabilities and features