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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy and maintain a data solution | 10-15% | - Maintain a data solution
|
| Topic 2: Clean, transform, and enrich data | 25-30% | - Clean data
|
| Topic 3: Design and manage the data model | 20-25% | - Implement and configure a data model
|
| Topic 4: Secure and monitor data solutions | 15-20% | - Monitor data solutions
|
| Topic 5: Load and prepare data | 20-25% | - Create and configure items
|
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NEW QUESTION # 80
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
EXPLAIN TABLE customer
Does this meet the goal?
Answer: B
Explanation:
No, the EXPLAIN TABLE statement does not identify whether maintenance tasks were performed on a table. It shows the execution plan for a query. Reference = The usage and output of the EXPLAIN command can be found in the Spark SQL documentation.
NEW QUESTION # 81
You have a Fabric tenant that contains a semantic model. The model uses Direct Lake mode.
You suspect that some DAX queries load unnecessary columns into memory.
You need to identify the frequently used columns that are loaded into memory.
What are two ways to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
Answer: A,B
Explanation:
The Vertipaq Analyzer tool (B) and querying the $system.
discovered_STORAGE_TABLE_COLUMNS_IN_SEGMENTS dynamic management view (DMV) (C) can help identify which columns are frequently loaded into memory. Both methods provide insights into the storage and retrieval aspects of the semantic model. References = The Power BI documentation on Vertipaq Analyzer and DMV queries offers detailed guidance on how to use these tools for performance analysis.
NEW QUESTION # 82
You have a Fabric semantic model named Model1 that contains a table named Sales.
You need to enable incremental refresh for the Sales table.
What should you do first?
Answer: D
Explanation:
To configure incremental refresh for a table in a Microsoft Fabric semantic model, you must first create two Power Query parameters with specific, case-sensitive names: RangeStart and RangeEnd.
These parameters act as placeholders that the Fabric service will later use to automatically partition your data based on date ranges.
Mandatory Setup Steps
Before you can enable the incremental refresh toggle in the table settings, you must complete these three tasks in Power Query Editor:
1. Create Reserved Parameters
Names: Must be exactly RangeStart and RangeEnd (case-sensitive).
Data Type: Must be set to Date/Time.
Values: Assign temporary default values (e.g., a one-day range) to filter the data you work with in the desktop environment.
2. Filter the Table Column
3. Ensure Query Folding
Reference:
https://learn.microsoft.com/en-us/power-bi/connect-data/incremental-refresh-configure
NEW QUESTION # 83
You need to ensure that Contoso can use version control to meet the data analytics requirements and the general requirements. What should you do?
Answer: A
Explanation:
You need to ensure that Contoso can use version control to meet the data analytics requirements and the general requirements.
Requirement: "All the semantic models and reports for the Research division must use version control that supports branching." Fabric supports Git i ntegration (Azure Repos or GitHub) for semantic models and reports.
Storing in Data Lake Gen2 or OneDrive does not provide version control with branching.
The correct action is to integrate workspaces with a Git repository.
answer: D. Modify the settings o f the Research division workspaces to use an Azure Repos repository.
NEW QUESTION # 84
You have Fabric tenant that contains four workspaces named Development, Test, QA, and Production. All the workspaces are in Premium Per User (PPU) license mode.
You plan to use a release pipeline to support the development lifecycle from Development to Production.
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:
Explanation:
NEW QUESTION # 85
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