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DP-600 Practice Questions

Question # 1
You have a Fabric tenant that contains a semantic model.

You need to prevent report creators from populating visuals by using implicit measures.
What are two tools that you can use to achieve the goal? Each correct answer presents a complete solution.

NOTE: Each correct answer is worth one point.
A. Microsoft Power BI Desktop
B. Tabular Editor
C. Microsoft SQL Server Management Studio (SSMS)
D. DAX Studio


A. Microsoft Power BI Desktop
B. Tabular Editor

Explanation:

Microsoft Power BI Desktop (A) and Tabular Editor (B) are the tools you can use to prevent report creators from using implicit measures. In Power BI Desktop, you can define explicit measures which can be used in visuals. Tabular Editor allows for advanced model editing, where you can enforce the use of explicit measures. References = Guidance on using explicit measures and preventing implicit measures in reports can be found in the Power BI and Tabular Editor official documentation.

Question # 2
You need to implement the date dimension in the data store. The solution must meet the technical requirements.

What are two ways to achieve the goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A. Populate the date dimension table by using a dataflow.
B. Populate the date dimension table by using a Stored procedure activity in a pipeline.
C. Populate the date dimension view by using T-SQL.
D. Populate the date dimension table by using a Copy activity in a pipeline.


A. Populate the date dimension table by using a dataflow.
B. Populate the date dimension table by using a Stored procedure activity in a pipeline.

Explanation:

Both a dataflow (A) and a Stored procedure activity in a pipeline (B) are capable of creating and populating a date dimension table. A dataflow can perform the transformation needed to create the date dimension, and it aligns with the preference for using low-code tools for data ingestion when possible. A Stored procedure could be written to generate the necessary date dimension data and executed within a pipeline, which also adheres to the technical requirements for the PoC.

Question # 3
You need to refresh the Orders table of the Online Sales department. The solution must meet the semantic model requirements. What should you include in the solution?
A. an Azure Data Factory pipeline that executes a dataflow to retrieve the minimum value of the OrderlD column in the destination lakehouse
B. an Azure Data Factory pipeline that executes a Stored procedure activity to retrieve the maximum value of the OrderlD column in the destination lakehouse
C. an Azure Data Factory pipeline that executes a dataflow to retrieve the maximum value of the OrderlD column in the destination lakehouse
D. an Azure Data Factory pipeline that executes a Stored procedure activity to retrieve the minimum value of the OrderiD column m the destination lakehouse


C. an Azure Data Factory pipeline that executes a dataflow to retrieve the maximum value of the OrderlD column in the destination lakehouse


Question # 4
You have a Fabric tenant that contains a new semantic model in OneLake.

You use a Fabric notebook to read the data into a Spark DataFrame.

You need to evaluate the data to calculate the min, max, mean, and standard deviation values for all the string and numeric columns.

Solution: You use the following PySpark expression:

df.explain()

Does this meet the goal?

A. Yes
B. No


B. No

Explanation:

The df.explain() method does not meet the goal of evaluating data to calculate statistical functions. It is used to display the physical plan that Spark will execute. References = The correct usage of the explain() function can be found in the PySpark documentation.

Question # 5
What should you use to implement calculation groups for the Research division semantic models?
A. DAX Studio
B. Microsoft Power Bl Desktop
C. the Power Bl service
D. Tabular Editor


C. the Power Bl service


Question # 6
In Microsoft Fabric, which of the following is the most suitable for real-time analytics and data stream processing?
A. Power BI
B. Azure Stream Analytics
C. Synapse Pipelines
D. Databricks Notebooks


B. Azure Stream Analytics


Question # 7
You have a Fabric tenant that contains a semantic model. The model contains 15 tables.

You need to programmatically change each column that ends in the word Key to meet the following requirements:

• Hide the column.
• Set Nullable to False.
• Set Summarize By to None
• Set Available in MDX to False.
• Mark the column as a key column.
What should you use?
A. Microsoft Power Bl Desktop
B. Tabular Editor
C. ALM Toolkit
D. DAX Studio


B. Tabular Editor

Explanation:

Tabular Editor is an advanced tool for editing Tabular models outside of Power BI Desktop that allows you to script out changes and apply them across multiple columns or tables. To accomplish the task programmatically, you would:

Open the model in Tabular Editor.

Create an Advanced Script using C# to iterate over all tables and their respective columns.

Within the script, check if the column name ends with 'Key'.

For columns that meet the condition, set the properties accordingly: IsHidden = true, IsNullable = false, SummarizeBy = None, IsAvailableInMDX = false.

Additionally, mark the column as a key column.

Save the changes and deploy them back to the Fabric tenant.

References: The ability to batch-edit properties using scripts in Tabular Editor is well-documented in the tool's official documentation and user community resources.


Question # 8
You have a Fabric tenant that contains a semantic model. The model contains 15 tables. You need to programmatically change each column that ends in the word Key to meet the following requirements:

• Hide the column.
• Set Nullable to False.
• Set Summarize By to None
• Set Available in MDX to False.
• Mark the column as a key column.

What should you use?
A. Microsoft Power Bl Desktop
B. Tabular Editor
C. ALM Toolkit
D. DAX Studio


B. Tabular Editor

Explanation:

Tabular Editor is an advanced tool for editing Tabular models outside of Power BI Desktop that allows you to script out changes and apply them across multiple columns or tables. To accomplish the task programmatically, you would:

Open the model in Tabular Editor.

Create an Advanced Script using C# to iterate over all tables and their respective columns.

Within the script, check if the column name ends with 'Key'.

For columns that meet the condition, set the properties accordingly: IsHidden = true, IsNullable = false, SummarizeBy = None, IsAvailableInMDX = false.

Additionally, mark the column as a key column.

Save the changes and deploy them back to the Fabric tenant.

References: The ability to batch-edit properties using scripts in Tabular Editor is well-documented in the tool's official documentation and user community resources.


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Microsoft DP-600 Exam Dumps

Exam Name: Implementing Analytics Solutions Using Microsoft Fabric
Certification Name: Microsoft Certified:Fabric Analytics Engineer Associate

Microsoft DP-600 exam dumps are created by industry top professionals and after that its also verified by expert team. We are providing you updated Implementing Analytics Solutions Using Microsoft Fabric exam questions answers. We keep updating our Microsoft Certified:Fabric Analytics Engineer Associate practice test according to real exam. So prepare from our latest questions answers and pass your exam.

  • Total Questions: 117
  • Last Updation Date: 15-Apr-2025

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