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  1. Home
  2. Microsoft Certification
  3. DP-600 Exam
  4. Microsoft.DP-600.v2026-10-12.q204 Dumps
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Question 151

Which type of data store should you recommend in the AnalyticsPOC workspace?

Correct Answer: C
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Question 152

Which syntax should you use in a notebook to ac cess the Research division data for Productlinel?

Correct Answer: A
Comprehensive Detailed Explanation
The question asks: Which syntax should you use in a Fabric notebook to access the Research division data for Productline1?
Key Background from the Case
In Productline1ws , a lakehouse named Lakehouse1 is created.
In Lakehouse1 , a shortcut is created to storage1 , named ResearchProduct .
Storage1 contains the Research division data for Productline1 in Delta format .
Requirement: All data in lakehouses must be presented as managed tables in Lakehouse explorer .
Analyzing the Syntax Options
Option A:
spark.sql( " SELECT * FROM Lakehouse1.ResearchProduct " )
This syntax directly queries the ResearchProduct shortcut within Lakehouse1 using Spark SQL.
Since the shortcut points to Delta data , Spark can directly query it.
This is the correct way to retrieve Productline1 data from Lakehouse1.
Option B:
spark.sql( " SELECT * FROM Lakehouse1.productline1.ResearchPro duct " ) This introduces an extra schema-like path ( productline1 ) that is not part of the shortcut name .
Incorrect, because the shortcut was created as ResearchProduct inside Lakehouse1, not under another schema.
Option C:
external_table( ' Tables/ResearchProduct ' )
external_table is not the correct way to access a Lakehouse shortcut.
Shortcuts in Lakehouses appear as tables and can be queried using Spark SQL directly.
Option D:
spark.sql( " SELECT * FROM Lakehouse1.productline1.ResearchProduc t " ) Same issue as Option B, includes a schema path that does not exist.
Correct Choice
Since the shortcut to ResearchProduct was created inside Lakehouse1 , and Spark SQL can query it directly, the correct syntax is:
spark.sql( " SELECT * FROM Lakehouse1.Res earchProduct " )
That matches Option A .
References
Microsoft Fabric Lakehouse - Shortcuts
Query data in a lakehouse using Spark SQL
Delta format support in Microsoft Fabric
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Question 153

You have a Fabric tenant that contains a warehouse.
You use a dataflow to load a new dataset from OneLake to the warehouse.
You need to add a PowerQuery step to identify the maximum values for the numeric columns.
Which function should you include in the step?

Correct Answer: D
https://learn.microsoft.com/en-us/powerquery-m/table-profile
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Question 154

You have a Fabric tenant that contains a warehouse named Warehouse1. Warehouse1 contains a fact table named FactSales that has one billion rows. You run the following T-SQL statement.
CREATE TABLE test.FactSales AS CLONE OF Dbo.FactSales;
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

Correct Answer:

Explanation:
* A replica of dbo.Sales is created in the test schema by copying the metadata only. - Yes
* Additional schema changes to dbo.FactSales will also apply to test.FactSales. - No
* Additional data changes to dbo.FactSales will also apply to test.FactSales. - No The CREATE TABLE AS CLONE statement creates a copy of an existing table, including its data and any associated data structures, like indexes. Therefore, the statement does not merely copy metadata; it also copies the data. However, subsequent schema changes to the original table do not automatically propagate to the cloned table. Any data changes in the original table after the clone operation will not be reflected in the clone unless explicitly updated.
References =
* CREATE TABLE AS SELECT (CTAS) in SQL Data Warehouse
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Question 155

You have Fabric tenant.
You need to create a sematic model that delivers fast report rendering, minimizes query latency, and maximizes flexibility for DAX calculations.
Which storage mode should you select?

Correct Answer: A
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