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NEW QUESTION 44
You are optimizing a dataflow in a Power Bl Premium capacity. The dataflow performs multiple joins. You
need to reduce the load time of the dataflow.
Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each
correct selection is worth one point.
- A. Execute foldable operations before non-foldable operations.
- B. Execute non-foldable operations before foldable operations.
- C. Reduce the memory assigned to the dataflows.
- D. Place the ingestion operations and transformation operations in a single dataflow.
- E. Place the ingestion operations and transformation operations in separate dataflows.
Answer: A,D
NEW QUESTION 45
You are using DAX Studio to analyze a slow-running report query. You need to identify inefficient join operations in the query. What should you review?
- A. the query statistics
- B. the query history
- C. the server timings
- D. the query plan
Answer: D
Explanation:
Open DAX Studio.
Paste the query there, enable Query Plan display and Server Timings, run your query (with clear cache), and then study the query plan for large row counts. Once the culprit is identified you can decide how to rewrite your DAX to make that part faster.
Reference:
https://www.sqlbi.com/wp-content/uploads/DAX-Query-Plans.pdf
Topic 1, Contoso, Ltd
Data Infrastructure
Contoso has a 50-TB data warehouse that uses an instance of SQL Server on Azure Virtual Machines.
The data warehouse populates an Azure Synapse Analytics workspace that is accessed by the external customers. Currently, the customers can access alt the data.
Contoso has one Power Bl workspace named FinData that contains a single dataset. The dataset contains financial data from around the world. The workspace is used by 10 internal users and one external customer. The dataset has the following two data sources: the data warehouse and the Synapse Analytics serverless SQL pool.
Users frequently query the Synapse Analytics workspace by using Transact-SQL.
User Problems
Contoso identifies the following user issues:
* Some users indicate that the visuals in Power Bl reports are slow to render when making filter selections.
* Users indicate that queries against the serverless SQL pool fail occasionally because the size of tempdb has been exceeded.
* Users indicate that the data in Power Bl reports is stale. You discover that the refresh process of the Power Bl model occasionally times out Planned Changes Contoso plans to implement the following changes:
* Into the existing Power Bl dataset, integrate an external data source that is accessible by using the REST API.
* Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool.
* Provide all the customers with their own Power Bl workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace.
* Implement subscription levels for the customers. Each subscription level will provide access to specific rows of financial data.
* Deploy prebuilt datasets to Power Bl to simplify the query experience of the customers.
* Provide internal users with the ability to incorporate machine learning models loaded to the dedicated SQL pool.
NEW QUESTION 46
You discover a poorly performing measure in a Power Bl data model.
You need to review the query plan to analyze the amount of time spent in the storage engine and the formula
engine.
What should you use?
- A. Vertipaq Analyzer
- B. Tabular Editor
- C. Performance analyzer in Power Bl Desktop
- D. DAX Studio
Answer: C
NEW QUESTION 47
......
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