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Pass Guaranteed Quiz 2025 Microsoft Efficient DP-600: New Implementing Analytics Solutions Using Microsoft Fabric Exam Test

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Microsoft DP-600 Exam Syllabus Topics:

Topic	Details
Topic 1	Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.
Topic 2	Maintain a data analytics solution: This section is all about implementing security and governance. In this topic, you also get information about maintaining the analytics development lifecycle.
Topic 3	Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q52-Q57):

NEW QUESTION # 52
Case Study 1 - Contoso
Overview
Contoso, Ltd. is a US-based health supplements company. Contoso has two divisions named Sales and Research. The Sales division contains two departments named Online Sales and Retail Sales. The Research division assigns internally developed product lines to individual teams of researchers and analysts.
Existing Environment
Identity Environment
Contoso has a Microsoft Entra tenant named contoso.com. The tenant contains two groups named ResearchReviewersGroup1 and ResearchReviewersGroup2.
Data Environment
Contoso has the following data environment:
- The Sales division uses a Microsoft Power BI Premium capacity.
- The semantic model of the Online Sales department includes a fact table named Orders that uses Import made. In the system of origin, the OrderID value represents the sequence in which orders are created.
- The Research department uses an on-premises, third-party data warehousing product.
- Fabric is enabled for contoso.com.
- An Azure Data Lake Storage Gen2 storage account named storage1 contains Research division data for a product line named Productline1. - The data is in the delta format.
- A Data Lake Storage Gen2 storage account named storage2 contains Research division data for a product line named Productline2. The data is in the CSV format.
Requirements
Planned Changes
Contoso plans to make the following changes:
- Enable support for Fabric in the Power BI Premium capacity used by the Sales division.
- Make all the data for the Sales division and the Research division available in Fabric.
- For the Research division, create two Fabric workspaces named Productline1ws and Productine2ws.
- In Productline1ws, create a lakehouse named Lakehouse1.
- In Lakehouse1, create a shortcut to storage1 named ResearchProduct.
Data Analytics Requirements
Contoso identifies the following data analytics requirements:
- All the workspaces for the Sales division and the Research division must support all Fabric experiences.
- The Research division workspaces must use a dedicated, on-demand capacity that has per- minute billing.
- The Research division workspaces must be grouped together logically to support OneLake data hub filtering based on the department name.
- For the Research division workspaces, the members of ResearchReviewersGroup1 must be able to read lakehouse and warehouse data and shortcuts by using SQL endpoints.
- For the Research division workspaces, the members of ResearchReviewersGroup2 must be able to read lakehouse data by using Lakehouse explorer.
- All the semantic models and reports for the Research division must use version control that supports branching.
Data Preparation Requirements
Contoso identifies the following data preparation requirements:
- The Research division data for Productline1 must be retrieved from Lakehouse1 by using Fabric notebooks.
- All the Research division data in the lakehouses must be presented as managed tables in Lakehouse explorer.
Semantic Model Requirements
Contoso identifies the following requirements for implementing and managing semantic models:
- The number of rows added to the Orders table during refreshes must be minimized.
- The semantic models in the Research division workspaces must use Direct Lake mode.
General Requirements
Contoso identifies the following high-level requirements that must be considered for all solutions:
- Follow the principle of least privilege when applicable.
- Minimize implementation and maintenance effort when possible.
What should you use to implement calculation groups for the Research division semantic models?

A. DAX Studio
B. Tabular Editor
C. Microsoft Power BI Desktop
D. the Power BI service

Answer: B

Explanation:
https://powerbi.microsoft.com/en-us/blog/announcing-calculation-groups-for-direct-lake-datasets/

NEW QUESTION # 53
You have a Fabric tenant that contains customer churn data stored as Parquet files in OneLake. The data contains details about customer demographics and product usage.
You create a Fabric notebook to read the data into a Spark DataFrame. You then create column charts in the notebook that show the distribution of retained customers as compared to lost customers based on geography, the number of products purchased, age. and customer tenure.
Which type of analytics are you performing?

A. predictive
B. descriptive
C. prescriptive
D. diagnostic

Answer: B

NEW QUESTION # 54
You create a semantic model by using Microsoft Power Bl Desktop. The model contains one security role named SalesRegionManager and the following tables:
* Sales
* SalesRegion
* Sales Ad dress
You need to modify the model to ensure that users assigned the SalesRegionManager role cannot see a column named Address in Sales Address.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:

To ensure that users assigned the SalesRegionManager role cannot see the Address column in the SalesAddress table, follow these steps in sequence:
* Open the model in Tabular Editor.
* Select the Address column in SalesAddress.
* Set Object Level Security to None for SalesRegionManager.

NEW QUESTION # 55
You have a Fabric tenant.
You are creating a Fabric Data Factory pipeline.
You have a stored procedure that returns the number of active customers and their average sales for the current month.
You need to add an activity that will execute the stored procedure in a warehouse. The returned values must be available to the downstream activities of the pipeline.
Which type of activity should you add?

A. Get metadata
B. Switch
C. Lookup
D. Append variable

Answer: C

NEW QUESTION # 56
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 OPTIMIZE command and specify the Z-order parameter.
B. Run the VACUUM command.
C. From OneLake file explorer, delete the files.
D. Run the OPTIMIZE command and specify the V-order parameter.

Answer: B

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 # 57
......

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Pass Guaranteed Quiz 2025 Microsoft Efficient DP-600: New Implementing Analytics Solutions Using Microsoft Fabric Exam Test

2025 New DP-600 Exam Test | Professional DP-600 100% Free Exam Torrent

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q52-Q57):

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Simon Taylor Simon Taylor

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Pass Guaranteed Quiz 2025 Microsoft Efficient DP-600: New Implementing Analytics Solutions Using Microsoft Fabric Exam Test

2025 New DP-600 Exam Test | Professional DP-600 100% Free Exam Torrent

Microsoft DP-600 Exam Syllabus Topics:

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q52-Q57):

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