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Microsoft DP-900 Exam Syllabus Topics:

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

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Microsoft Azure Data Fundamentals Sample Questions (Q206-Q211):

NEW QUESTION # 206
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:

Reference:
https://docs.microsoft.com/en-us/power-bi/connect-data/service-datasets-across-workspaces
https://docs.microsoft.com/en-us/power-bi/consumer/end-user-dashboardshttps://powerbi.microsoft.com/en-us/excel-and-power-bi/

NEW QUESTION # 207
You have the following JSON document.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the JSON document.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 208
Which database transaction property ensures that transactional changes to a database are preserved during unexpected operating system restarts?

A. atomicity
B. isolation
C. consistency
D. durability

Answer: C

NEW QUESTION # 209
Match the datastore services to the appropriate descriptions.
To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cosmos-db/sql-query-working-with-json
https://cloud.netapp.com/blog/azure-smb-server-message-block-in-the-cloud-for-azure-files

NEW QUESTION # 210
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
Batch processing refers to processing of high volume of data in batch within a specific time span. It processes large volume of data all at once. Batch processing is used when data size is known and finite. It takes little longer time to processes data.
Box 2: Yes
Stream processing refers to processing of continuous stream of data immediately as it is produced. It analyzes streaming data in real time. Stream processing is used when the data size is unknown and infinite and continuous.
Box 3: No

NEW QUESTION # 211
......

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