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NEW QUESTION 34
You have a file named File1.txt that has the following characteristics:
* A header row
* Tab delimited values
* UNIX-style line endings
You need to read File1.txt by using an Azure Synapse Analytics serverless SQL pool.
Which query should you execute?
A)

B)

C)

D)

A. Option DB. Option CC. Option BD. Option A

Answer: D

 

NEW QUESTION 35
You have a deployment pipeline for a Power BI workspace. The workspace contains two datasets that use import storage mode.
A database administrator reports a drastic increase in the number of queries sent from the Power BI service to an Azure SQL database since the creation of the deployment pipeline.
An investigation into the issue identifies the following:
One of the datasets is larger than 1 GB and has a fact table that contains more than 500 million rows.
When publishing dataset changes to development, test, or production pipelines, a refresh is triggered against the entire dataset.
You need to recommend a solution to reduce the size of the queries sent to the database when the dataset changes are published to development, test, or production.
What should you recommend?

A. Enable the large dataset storage format for workspace.B. Create a dataset parameter to reduce the fact table row count in the development and test pipelines.C. In the dataset. change the fact table from an import table to a hybrid table.D. Turn off auto refresh when publishing the dataset changes to the Power Bl service.

Answer: C

Explanation:
Hybrid tables
Hybrid tables are tables with incremental refresh that can have both import and direct query partitions. During a clean deployment, both the refresh policy and the hybrid table partitions are copied. When deploying to a pipeline stage that already has hybrid table partitions, only the refresh policy is copied. To update the partitions, refresh the table.
Refreshes are faster - Only the most recent data that has changed needs to be refreshed.

 

NEW QUESTION 36
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 statisticsB. the server timingsC. the query planD. the query history

Answer: C

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

 

NEW QUESTION 37
......

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