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Microsoft DP-900 Exam Syllabus Topics:

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

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Microsoft Azure Data Fundamentals Sample Questions (Q258-Q263):

NEW QUESTION # 258
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

NEW QUESTION # 259
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Box 1: Yes
Azure Data Studio is a cross-platform database tool for data professionals using on-premises and cloud data platforms on Windows, macOS, and Linux.
You can use Azure Data Studio to connect to an Azure SQL Database server. You ' ll then run Transact-SQL (T-SQL) statements to create and query Azure SQL databases.
Box 2: No
SQL Server Management Studio is for configuring, managing, and administering all components within Microsoft SQL Server, not to create SQL notebooks.
Instead use Azure Data Studio to create SQL notebook.
Box 3: Yes
You can use the Azure Data Studio to restore databases.
Reference:
https://docs.microsoft.com/en-us/sql/azure-data-studio/what-is-azure-data-studio

NEW QUESTION # 260
You have the following two tables of customer data.

Which type of data do the tables contain?

A. non-relational
B. structured
C. unstructured
D. semi-structured

Answer: C

NEW QUESTION # 261
Select the answer that correctly completes the sentence.

Answer:

Explanation:
Answer below as:

NEW QUESTION # 262
Your company plans to load data from a customer relationship management (CRM) system to a data warehouse by using an extract, load, and transform (ELT) process.
Where does data processing occur for each stage of the ELT process? To answer, drag the appropriate locations to the correct stages. Each location may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/relational-data/etl

NEW QUESTION # 263
......

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