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Microsoft Certified: Fabric Analytics Engineer Associate
DP-600
Implementing Analytics Solutions Using Microsoft Fabric Questions and Answers

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Viewing questions 21-30 out of questions

Questions # 21:

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

Options:

a data lake

a warehouse

a lakehouse

an external Hive metaStore

Answer

Explanation

A lakehouse (C) should be recommended for the AnalyticsPOC workspace. It combines the capabilities of a data warehouse with the flexibility of a data lake. A lakehouse supports semi-structured and unstructured data and allows for T-SQL and Python read access, fulfilling the technical requirements outlined for Litware. References = For further understanding, Microsoft's documentation on the lakehouse architecture provides insights into how it supports various data types and analytical operations.

Questions # 22:

You need to ensure the data loading activities in the AnalyticsPOC workspace are executed in the appropriate sequence. The solution must meet the technical requirements.

What should you do?

Options:

Create a pipeline that has dependencies between activities and schedule the pipeline.

Create and schedule a Spark job definition.

Create a dataflow that has multiple steps and schedule the dataflow.

Create and schedule a Spark notebook.

Answer

Explanation

To meet the technical requirement that data loading activities must ensure the raw and cleansed data is updated completely before populating the dimensional model, you would need a mechanism that allows for ordered execution. A pipeline in Microsoft Fabric with dependencies set between activities can ensure that activities are executed in a specific sequence. Once set up, the pipeline can be scheduled to run at the required intervals (hourly or daily depending on the data source).

Questions # 23:

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.

Options:

Populate the date dimension table by using a dataflow.

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

Populate the date dimension view by using T-SQL.

Populate the date dimension table by using a Copy activity in a pipeline.

Answer

A, B

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.

Questions # 24:

Which workspace rote assignments should you recommend for ResearchReviewersGroupl and ResearchReviewersGroupZ? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 24

Options:

Answer

Answer:

Questions # 25:

You need to migrate the Research division data for Productline2. The solution must meet the data preparation requirements. How should you complete the code? To answer, select the appropriate options in the answer area

NOTE: Each correct selection is worth one point.

Question # 25

Options:

Answer

Answer:

Questions # 26:

You need to ensure that Contoso can use version control to meet the data analytics requirements and the general requirements. What should you do?

Options:

Store all the semantic models and reports in Data Lake Gen2 storage.

Modify the settings of the Research workspaces to use a GitHub repository.

Store all the semantic models and reports in Microsoft OneDrive.

Modify the settings of the Research division workspaces to use an Azure Repos repository.

Answer

Questions # 27:

What should you use to implement calculation groups for the Research division semantic models?

Options:

DAX Studio

Microsoft Power Bl Desktop

the Power Bl service

Tabular Editor

Answer

Questions # 28:

You need to recommend a solution to group the Research division workspaces.

What should you include in the recommendation? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 28

Options:

Answer

Answer:

Questions # 29:

You need to recommend a solution to group the Research division workspaces.

What should you include in the recommendation? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 29

Options:

Answer

Answer:

Explanation

Comprehensive Detailed Explanation

The requirement is to logically group the Research division workspaces and support filtering in the OneLake data hub.

Why Domain?

Microsoft Fabric allows you to assign workspace domains (e.g., Finance, HR, Research).

This provides a logical grouping of workspaces within the organization.

Domains are the only supported way to enable filtering in OneLake data hub by department.

Capacity or tenant grouping would not allow filtering by department in OneLake.

Why OneLake data hub?

The OneLake data hub is the centralized interface to browse and discover data assets across the organization.

With workspace domains configured, users can filter directly in the OneLake data hub by domain (e.g., “Research”).

The Fabric Admin portal and Entra admin center are used for administration, not for workspace filtering in data discovery.

Correct Selection for the Hotspot

Grouping method: Domain

Tool: OneLake data hub

References

Workspace domains in Microsoft Fabric

Discover and filter data in OneLake data hub

Final Answer:

Grouping method = Domain

Tool = OneLake data hub

Questions # 30:

Which workspace rote assignments should you recommend for ResearchReviewersGroupl and ResearchReviewersGroupZ? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Question # 30

Options:

Answer

Answer:

Explanation

In Azure DevOps workspace (project) security settings, role assignments determine access levels for groups:

Viewer (equivalent to the Readers security group): Grants read-only access to work items, code, pipelines, and other artifacts. Ideal for review-only scenarios where users need to view but not edit content.

Contributor (equivalent to the Contributors security group): Allows full edit and contribute privileges, such as updating work items, code reviews, and pipeline runs. Suitable for active participation in reviews that may involve feedback or changes.

Based on the group names implying review-focused access, Viewer fits Group1 for passive observation, while Contributor fits Group2 for interactive review tasks. These align with default Azure DevOps permissions for secure, least-privilege access.

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