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| Section | Weight | Objectives |
|---|---|---|
| Ingest and transform data | 30-35% | - Design and implement loading patterns - Optimize and manage Delta tables - Transform data using Dataflows Gen2 and notebooks - Ingest data using Data Factory pipelines and Dataflows Gen2 - Ingest and transform data using eventstreams |
| Monitor and optimize an analytics solution | 30-35% | - Monitor Fabric items - Implement error handling in pipelines - Optimize performance of data storage and queries |
| Implement and manage an analytics solution | 30-35% | - Configure and manage workspace settings and item access - Orchestrate processes with Data Factory pipelines - Implement security and governance - Implement lifecycle management and source control for analytics assets |
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NEW QUESTION # 11
You have a Fabric workspace that contains an eventstream named Eventstream1. Eventstream1 processes data from a thermal sensor by using event stream processing, and then stores the data in a lakehouse.
You need to modify Eventstream1 to include the standard deviation of the temperature.
Which transform operator should you include in the Eventstream1 logic?
Answer: B
Explanation:
To compute the standard deviation of the temperature from the thermal sensor data, you would use the Aggregate transform operator in Eventstream1. The Aggregate operator allows you to apply functions like sum, average, count, and statistical functions like standard deviation across a group of rows or events. This operator is ideal for operations that require summarizing or computing statistics over a dataset, such as calculating the standard deviation.
NEW QUESTION # 12
You need to ensure that the data engineers are notified if any step in populating the lakehouses fails. The solution must meet the technical requirements and minimize development effort.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 13
You need to create the product dimension.
How should you complete the Apache Spark SQL code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
A screenshot of a computer Description automatically generated
Join between Products and ProductSubCategories:
Use an INNER JOIN.
The goal is to include only products that are assigned to a subcategory. An INNER JOIN ensures that only matching records (i.e., products with a valid subcategory) are included.
Join between ProductSubCategories and ProductCategories:
Use an INNER JOIN.
Similar to the above logic, we want to include only subcategories assigned to a valid product category. An INNER JOIN ensures this condition is met.
WHERE Clause
Condition: IsActive = 1
Only active products (where IsActive equals 1) should be included in the gold layer. This filters out inactive products.
NEW QUESTION # 14
You have a Fabric workspace named Workspace1 that is connected to a GitHub repository named repo1.
Workspace1 contains the items shown in the following table.
You modify Semantic model 1, Semanticmodel2, and Report2.
You need to commit the changes to repo1.
What is the minimum number of commits you should perform?
Answer: A
NEW QUESTION # 15
You have a Fabric workspace that contains a warehouse named Warehouse1 Warehousel contains a table named DimCustomers. DimCustomers contains the following columns:
* CustomerName
* CustomerlD
* Birth Date
* Email
You need to configure security to meet the following requirements:
* Birth Date in DimCustomer must be masked and display 1960-01-01
* Email in DimCustomer must be masked and display only the first leading character and the last five characters.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 16
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