DP-600 DOWNLOAD DEMO | DP-600 WELL PREP

DP-600 Download Demo | DP-600 Well Prep

DP-600 Download Demo | DP-600 Well Prep

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Tags: DP-600 Download Demo, DP-600 Well Prep, DP-600 Related Certifications, Exam DP-600 Objectives Pdf, DP-600 Test Dumps Free

Now you can trust DumpsTorrent DP-600 exam questions as these Implementing Analytics Solutions Using Microsoft Fabric (DP-600) exam questions have already helped countless candidates in their DP-600 exam preparation. They easily got success in their challenging and dream Microsoft DP-600 Certification Exam. Now they have become certified Microsoft professionals and offer their services to top world brands.

Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement and manage semantic models: The topic delves into designing and building semantic models, and optimizing enterprise-scale semantic models.
Topic 2
  • Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.
Topic 3
  • 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.

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Microsoft DP-600 Download Demo: Implementing Analytics Solutions Using Microsoft Fabric - DumpsTorrent Test Engine Simulation

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q92-Q97):

NEW QUESTION # 92
You plan to deploy Microsoft Power BI items by using Fabric deployment pipelines. You have a deployment pipeline that contains three stages named Development, Test, and Production. A workspace is assigned to each stage.
You need to provide Power BI developers with access to the pipeline. The solution must meet the following requirements:
- Ensure that the developers can deploy items to the workspaces for
Development and Test.
- Prevent the developers from deploying items to the workspace for
Production.
- Follow the principle of least privilege.
Which three levels of access should you assign to the developers? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

  • A. Viewer access to the Development and Test workspaces
  • B. Contributor access to the Production workspace
  • C. Admin access to the deployment pipeline
  • D. Viewer access to the Production workspace
  • E. Build permission to the production semantic models
  • F. Contributor access to the Development and Test workspaces

Answer: D,E,F


NEW QUESTION # 93
You have a Microsoft Power BI semantic model that contains measures. The measures use multiple CALCULATE functions and a FILTER function.
You are evaluating the performance of the measures.
In which use case will replacing the FILTER function with the KEEPFILTERS function reduce execution time?

  • A. when the FILTER function references columns from multiple tables
  • B. when the FILTER function uses a nested calculate function
  • C. when the FILTER function references a column from a single table that uses Import mode
  • D. when the FILTER function references a measure

Answer: C

Explanation:
https://learn.microsoft.com/en-us/dax/best-practices/dax-avoid-avoid-filter-as-filter-argument FILTER returns a table whereas KEEPFILTERS returns a Boolean. So, A, B and C are limitations of uses of Boolean expressions.


NEW QUESTION # 94
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 Monitoring hub
  • B. the Microsoft Fabric Capacity Metrics app
  • C. dynamic management views (DMVs)
  • D. the Capacity settings

Answer: B

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 # 95
You have a Fabric tenant that contains a lakehouse named lakehouse1. Lakehouse1 contains a table named Table1.
You are creating a new data pipeline.
You plan to copy external data to Table1. The schema of the external data changes regularly.
You need the copy operation to meet the following requirements:
* Replace Table1 with the schema of the external data.
* Replace all the data in Table1 with the rows in the external data.
You add a Copy data activity to the pipeline. What should you do for the Copy data activity?

  • A. From the Source tab, select Enable partition discovery
  • B. From the Source tab, select Recursively
  • C. From the Destination tab, set Table action to Overwrite.
  • D. From the Source tab, add additional columns.
  • E. From the Settings tab, select Enable staging

Answer: C

Explanation:
For the Copy data activity, from the Destination tab, setting Table action to Overwrite (B) will ensure that Table1 is replaced with the schema and rows of the external data, meeting the requirements of replacing both the schema and data of the destination table. References = Information about Copy data activity and table actions in Azure Data Factory, which can be applied to data pipelines in Fabric, is available in the Azure Data Factory documentation.


NEW QUESTION # 96
You have source data in a folder on a local computer.
You need to create a solution that will use Fabric to populate a data store. The solution must meet the following requirements:
* Support the use of dataflows to load and append data to the data store.
* Ensure that Delta tables are V-Order optimized and compacted automatically.
Which type of data store should you use?

  • A. a warehouse
  • B. a lakehouse
  • C. an Azure SQL database
  • D. a KQL database

Answer: A,B

Explanation:
A lakehouse (A) is the type of data store you should use. It supports dataflows to load and append data and ensures that Delta tables are Z-Order optimized and compacted automatically. References = The capabilities of a lakehouse and its support for Delta tables are described in the lakehouse and Delta table documentation.


NEW QUESTION # 97
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