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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q83-Q88):

NEW QUESTION # 83
You have a Fabric tenant that contains a lakehouse named Lakehouse1. Lakehouse1 contains a Delta table that has one million Parquet files.
You need to remove files that were NOT referenced by the table during the past 30 days. The solution must ensure that the transaction log remains consistent, and the ACID properties of the table are maintained.
What should you do?

A. Run the VACUUM command.
B. Run the OPTIMIZE command and specify the V-order parameter.
C. Run the OPTIMIZE command and specify the Z-order parameter.
D. From OneLake file explorer, delete the files.

Answer: A

Explanation:
To remove files from a Delta table that are no longer referenced by the current version of the table, you should run the VACUUM command.
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-table-maintenance

NEW QUESTION # 84
You have a Microsoft Power Bl semantic model.
You need to identify any surrogate key columns in the model that have the Summarize By property set to a value other than to None. The solution must minimize effort.
What should you use?

A. Best Practice Analyzer in Tabular Editor
B. Model view in Microsoft Power Bl Desktop
C. Model explorer in Microsoft Power Bl Desktop
D. DAX Formatter in DAX Studio

Answer: A

Explanation:
To identify surrogate key columns with the "Summarize By" property set to a value other than "None," the Best Practice Analyzer in Tabular Editor is the most efficient tool. The Best Practice Analyzer can analyze the entire model and provide a report on all columns that do not meet a specified best practice, such as having the
"Summarize By" property set correctly for surrogate key columns. Here's how you would proceed:
* Open your Power BI model in Tabular Editor.
* Go to the Advanced Scripting window.
* Write or use an existing script that checks the "Summarize By" property of each column.
* Execute the script to get a report on the surrogate key columns that do not have their "Summarize By" property set to "None".
* You can then review and adjust the properties of the columns directly within the Tabular Editor.
References: The functionality of the Best Practice Analyzer in Tabular Editor is documented in the community and learning resources for Power BI.

NEW QUESTION # 85
You have a Fabric tenant that contains a warehouse.
Several times a day. the performance of all warehouse queries degrades. You suspect that Fabric is throttling the compute used by the warehouse.
What should you use to identify whether throttling is occurring?

A. the Capacity settings
B. the Monitoring hub
C. dynamic management views (DMVs)
D. the Microsoft Fabric Capacity Metrics app

Answer: D

Explanation:
To identify whether throttling is occurring, you should use the Monitoring hub (B). This provides a centralized place where you can monitor and manage the health, performance, and reliability of your data estate, and see if the compute resources are being throttled. Reference = The use of the Monitoring hub for performance management and troubleshooting is detailed in the Azure Synapse Analytics documentation.

NEW QUESTION # 86
You are analyzing customer purchases in a Fabric notebook by using PySpanc You have the following DataFrames:

You need to join the DataFrames on the customer_id column. The solution must minimize data shuffling. You write the following code.

Which code should you run to populate the results DataFrame?

Answer: C

Explanation:
The correct code to populate the results DataFrame with minimal data shuffling is Option A. Using the broadcast function in PySpark is a way to minimize data movement by broadcasting the smaller DataFrame (customers) to each node in the cluster. This is ideal when one DataFrame is much smaller than the other, as in this case with customers. Reference = You can refer to the official Apache Spark documentation for more details on joins and the broadcast hint.

NEW QUESTION # 87
You have a Fabric tenant that contains a lakehouse named Lakehouse1.
You need to prevent new tables added to Lakehouse1 from being added automatically to the default semantic model of the lakehouse.
What should you configure?

A. the Lakehouse1 settings
B. the SQL analytics endpoint settings
C. the semantic model settings
D. the workspace settings

Answer: B

Explanation:
You need to prevent new tables added to Lakehouse1 from being added automatically to the default semantic model of the lakehouse.
https://learn.microsoft.com/en-us/fabric/data-warehouse/semantic-models but "Sync the default Power BI semantic model".

NEW QUESTION # 88
......

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DP-600 VALID DUMPS BOOK - FREE DP-600 STUDY MATERIAL

DP-600 Valid Dumps Book - Free DP-600 Study Material