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Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe core data concepts25-30%- Identify options for data storage
  • 1. Describe types of databases
  • 2. Describe common formats for data files
- Describe ways to represent data
  • 1. Describe features of semi-structured data
  • 2. Describe features of structured data
  • 3. Describe features of unstructured data
Topic 2: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational Azure data services
  • 1. Describe Azure Blob storage
  • 2. Describe Azure Table storage
  • 3. Describe Azure Cosmos DB
  • 4. Describe Azure File storage
- Describe non-relational concepts
  • 1. Identify non-relational data
  • 2. Describe non-relational data offerings
Topic 3: Describe an analytics workload on Azure25-30%- Describe analytics concepts
  • 1. Describe data warehousing
  • 2. Describe analytical workloads
  • 3. Describe ETL and ELT processes
  • 4. Describe transactional workloads
- Describe Azure data analytics services
  • 1. Describe Azure HDInsight
  • 2. Describe Azure Stream Analytics
  • 3. Describe Microsoft Fabric
  • 4. Describe Azure Synapse Analytics
  • 5. Describe Azure Databricks
  • 6. Describe Azure Data Factory
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI tools and workflow
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI
Topic 4: Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
- Describe relational Azure data services
  • 1. Describe SQL Server on Azure Virtual Machines
  • 2. Describe Azure SQL Managed Instance
  • 3. Describe Azure Database for MariaDB
  • 4. Describe Azure Database for MySQL
  • 5. Describe Azure Database for PostgreSQL
  • 6. Describe Azure SQL family of products
  • 7. Describe Azure SQL Database

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Microsoft Azure Data Fundamentals Sample Questions (Q20-Q25):

NEW QUESTION # 20
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:


NEW QUESTION # 21
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:


NEW QUESTION # 22
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
Big data solutions often use long-running batch jobs to filter, aggregate, and otherwise prepare the data for analysis. Usually these jobs involve reading source files from scalable storage (like HDFS, Azure Data Lake Store, and Azure Storage), processing them, and writing the output to new files in scalable storage.
Box 2: No
Box 3: No


NEW QUESTION # 23
You are reviewing the data model shown in the following exhibit.

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

Answer:

Explanation:

Reference:
https://en.wikipedia.org/wiki/Snowflake_schema
https://azure.microsoft.com/en-us/blog/data-models-within-azure-analysis-services-and-power-bi/


NEW QUESTION # 24
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:


NEW QUESTION # 25
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