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| Section | Weight | Objectives |
|---|
| Topic 1: Describe an analytics workload on Azure | 25-30% | - Describe analytics concepts
- 1. Describe ETL and ELT processes
- 2. Describe transactional workloads
- 3. Describe analytical workloads
- 4. Describe data warehousing
- Describe Azure data analytics services
- 1. Describe Microsoft Fabric
- 2. Describe Azure Databricks
- 3. Describe Azure Stream Analytics
- 4. Describe Azure HDInsight
- 5. Describe Azure Data Factory
- 6. Describe Azure Synapse Analytics
- Describe data visualization in Microsoft Power BI
- 1. Describe Power BI tools and workflow
- 2. Describe Power BI
- 3. Describe Power BI reports and dashboards
|
| Topic 2: Describe core data concepts | 25-30% | - Describe ways to represent data
- 1. Describe features of semi-structured data
- 2. Describe features of unstructured data
- 3. Describe features of structured data
- Identify options for data storage
- 1. Describe types of databases
- 2. Describe common formats for data files
|
| Topic 3: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
- 1. Describe normalization
- 2. Identify features of relational data
- Describe relational Azure data services
- 1. Describe Azure SQL Managed Instance
- 2. Describe Azure SQL Database
- 3. Describe Azure SQL family of products
- 4. Describe Azure Database for MySQL
- 5. Describe Azure Database for MariaDB
- 6. Describe Azure Database for PostgreSQL
- 7. Describe SQL Server on Azure Virtual Machines
|
| Topic 4: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
- 1. Describe non-relational data offerings
- 2. Identify non-relational data
- Describe non-relational Azure data services
- 1. Describe Azure File storage
- 2. Describe Azure Table storage
- 3. Describe Azure Cosmos DB
- 4. Describe Azure Blob storage
|
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Microsoft Azure Data Fundamentals Sample Questions (Q42-Q47):
NEW QUESTION # 42
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 # 43
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 # 44
Match the types of activities to the appropriate Azure Data Factory activities.
To answer, drag the appropriate activity type from the column on the left to its Data Factory activity on the right. Each activity type 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/data-factory/concepts-pipelines-activities#data-transformation- activities
NEW QUESTION # 45
You have an application that runs on Windows and requires across to a mapped drive.
Which Azure service should you use?
- A. Azure Files
- B. Azure Cosmos DB
- C. Azure Blob Storage
- D. Azure Table storage
Answer: B
NEW QUESTION # 46
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
Compute is separate from storage, which enables you to scale compute independently of the data in your system.
Box 2: Yes
You can use the Azure portal to pause and resume the dedicated SQL pool compute resources.
Pausing the data warehouse pauses compute. If your data warehouse was paused for the entire hour, you will not be charged compute during that hour.
Box 3: No
Storage is sold in 1 TB allocations. If you grow beyond 1 TB of storage, your storage account will automatically grow to 2 TBs.
NEW QUESTION # 47
......
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