Microsoft Azure Data Fundamentals (DP-900日本語版) exam questions & DP-900日本語 torrent vce & Microsoft Azure Data Fundamentals (DP-900日本語版) pdf dumps

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

Microsoft Azure Data Fundamentals (DP-900日本語版) Preparation: Focused, Supported, Calm

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Where should I spend my last study hours on DP-900日本語?

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Describe an analytics workload on Azure (25–30%)
Describe considerations for working with non-relational data on Azure (15–20%)
Describe core data concepts (25–30%)

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