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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Monitor and optimize an analytics solution | 30-35% | - Optimize performance of data storage and queries - Monitor Fabric items - Implement error handling in pipelines |
| Topic 2: Implement and manage an analytics solution | 30-35% | - Configure and manage workspace settings and item access - Implement lifecycle management and source control for analytics assets - Implement security and governance - Orchestrate processes with Data Factory pipelines |
| Topic 3: Ingest and transform data | 30-35% | - Optimize and manage Delta tables - Design and implement loading patterns - Ingest and transform data using eventstreams - Transform data using Dataflows Gen2 and notebooks - Ingest data using Data Factory pipelines and Dataflows Gen2 |
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NEW QUESTION # 68
HOTSPOT
You are processing streaming data from an external data provider.
You have the following code segment.
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:
Litware from New York will be displayed at the top of the result set - Yes The data is sorted first by Location in descending order and then by UnitsSold in descending order. Since
"New York" is alphabetically the last Location, it will appear first in the result set. Within "New York", Litware has the highest UnitsSold (1000), so it will be displayed at the top.
Fabrikam in Seattle will have value = 2 in the Rank column - No
The row_rank_dense function assigns dense ranks based on UnitsSold within each location. In "Seattle":
Contoso has UnitsSold = 300 # Rank 1
Litware has UnitsSold = 100 # Rank 2
Fabrikam also has UnitsSold = 100, so it shares the same rank (2) as Litware.
Litware in San Francisco will have the same value in the Rank column as Litware in New York - No The rank is calculated separately for each location. In "San Francisco":
Both Relecloud and Litware have UnitsSold = 500, so they share the same rank (1).
In "New York", Litware has the highest UnitsSold = 1000 # Rank 1.
Since ranks are calculated independently for each location, Litware in San Francisco does not share the same rank as Litware in New York.
NEW QUESTION # 69
You have an Azure SQL database named DBl
In a Fabric workspace, you deploy an eventstream named EventSlreamDBI to stream record changes from DB1 into a lakehouse.
You discover that events are NOT being propagated to EventStreamDBL You need to ensure that the events are propagated to EventStreamDBl. What should you do?
Answer: C
NEW QUESTION # 70
You have a KQL database that contains a table named Readings.
You need to build a KQL query to compare the Meter-Reading value of each row to the previous row base on the ilmestamp value A sample of the expected output is shown in the following table.

Answer:
Explanation:
Explanation:
NEW QUESTION # 71
Your company has a team of developers. The team creates Python libraries of reusable code that is used to transform data.
You create a Fabric workspace name Workspace1 that will be used to develop extract, transform, and load (ETL) solutions by using notebooks.
You need to ensure that the libraries are available by default to new notebooks in Workspace1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION # 72
You have a Fabric workspace that contains a warehouse named Warehouse1. Warehouse1 contains the following tables and columns.
You need to denormalize the tables and include the ContractType and StartDate columns in the Employee table. The solution must meet the following requirements:
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:
NEW QUESTION # 73
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