DP-600 VALID TEST REGISTRATION | DP-600 TEST VCE

DP-600 Valid Test Registration | DP-600 Test Vce

DP-600 Valid Test Registration | DP-600 Test Vce

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Microsoft DP-600 Exam Syllabus Topics:

TopicDetails
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.

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DP-600 Latest Dumps: Implementing Analytics Solutions Using Microsoft Fabric & Implementing Analytics Solutions Using Microsoft Fabric Exam Cram

In the Web-Based Microsoft DP-600 Practice Exam, the Implementing Analytics Solutions Using Microsoft Fabric (DP-600) exam dumps given are actual and according to the syllabus of the test. This Implementing Analytics Solutions Using Microsoft Fabric (DP-600) practice exam is compatible with all operating systems like Mac, Linux, IOS, Android, and Windows. Likewise, this Implementing Analytics Solutions Using Microsoft Fabric (DP-600) practice test is browser-based so it needs no special installation to function properly. Firefox, Chrome, IE, Opera, Safari, and all the major browsers support this Implementing Analytics Solutions Using Microsoft Fabric (DP-600) practice exam.

Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q93-Q98):

NEW QUESTION # 93
You have a Fabric tenant tha1 contains a takehouse named Lakehouse1. Lakehouse1 contains a Delta table named Customer.
When you query Customer, you discover that the query is slow to execute. You suspect that maintenance was NOT performed on the table.
You need to identify whether maintenance tasks were performed on Customer.
Solution: You run the following Spark SQL statement:
EXPLAIN TABLE customer
Does this meet the goal?

  • A. No
  • B. Yes

Answer: A


NEW QUESTION # 94
You have a Fabric workspace that contains a DirectQuery semantic model. The model queries a data source that has 500 million rows.
You have a Microsoft Power Bl report named Report1 that uses the model. Report! contains visuals on multiple pages.
You need to reduce the query execution time for the visuals on all the pages.
What are two features that you can use? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

  • A. query caching
  • B. user-defined aggregations
  • C. OneLake integration
  • D. automatic aggregation

Answer: A,C

Explanation:
User-defined aggregations (A) and query caching (C) are two features that can help reduce query execution time. User-defined aggregations allow precalculation of large datasets, and query caching stores the results of queries temporarily to speed up future queries. Reference = Microsoft Power BI documentation on performance optimization offers in-depth knowledge on these features.


NEW QUESTION # 95
You have a Fabric tenant that uses a Microsoft tower Bl Premium capacity. You need to enable scale-out for a semantic model. What should you do first?

  • A. At the tenant level, set Data Activator to Enabled.
  • B. At the tenant level, set Create and use Metrics to Enabled.
  • C. At the semantic model level, set Large dataset storage format to Off.
  • D. At the semantic model level, set Large dataset storage format to On.

Answer: D

Explanation:
To enable scale-out for a semantic model, you should first set Large dataset storage format to On (C) at the semantic model level. This configuration is necessary to handle larger datasets effectively in a scaled-out environment. References = Guidance on configuring large dataset storage formats for scale-out is available in the Power BI documentation.


NEW QUESTION # 96
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 SQL Server Management Studio (SSMS)
  • B. Tabular Editor
  • C. Microsoft Power BI Desktop
  • D. DAX Studio

Answer: B,C

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.


NEW QUESTION # 97
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 KQL database
  • B. a lakehouse
  • C. a warehouse
  • D. an Azure SQL database

Answer: B


NEW QUESTION # 98
......

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