VALID DP-600 MOCK EXAM | DP-600 NEW QUESTION

Valid DP-600 Mock Exam | DP-600 New Question

Valid DP-600 Mock Exam | DP-600 New Question

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Tags: Valid DP-600 Mock Exam, DP-600 New Question, Valid DP-600 Test Duration, Reliable DP-600 Test Syllabus, PDF DP-600 Download

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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
  • 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
  • Prepare data: In this topic, questions about creating objects in a lakehouse or warehouse, copying data, transforming data, and optimizing performance appear.

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Microsoft Implementing Analytics Solutions Using Microsoft Fabric Sample Questions (Q29-Q34):

NEW QUESTION # 29
You have a custom Direct Lake semantic model named Model1 that has one billion rows of data.
You use Tabular Editor to connect to Model1 by using the XMLA endpoint.
You need to ensure that when users interact with reports based on Model1, their queries always use Direct Lake mode.
What should you do?

  • A. From Model, configure the Direct Lake Behavior option.
  • B. From Model, configure the Storage Location option.
  • C. From Model, configure the Default Mode option.
  • D. From Partitions, configure the Mode option.

Answer: A

Explanation:
Click on Semantic model.
In the Properties pane, choose the Direct Lake behavior for your custom Direct Lake semantic model:
Automatic: This is the default behavior. It allows Direct Lake with fallback to DirectQuery mode if data can't be efficiently loaded into memory.
Direct Lake only: This option ensures no fallback to DirectQuery mode
https://powerbi.microsoft.com/en-au/blog/leveraging-pure-direct-lake-mode-for-maximum-query- performance/


NEW QUESTION # 30
You have a Fabric tenant that contains a lakehouse.
You plan to query sales data files by using the SQL endpoint. The files will be in an Amazon Simple Storage Service (Amazon S3) storage bucket.
You need to recommend which file format to use and where to create a shortcut.
Which two actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

  • A. Use the CSV format.
  • B. Use the Parquet format
  • C. Create a shortcut in the Files section.
  • D. Create a shortcut in the Tables section.
  • E. Use the delta format.

Answer: A,D

Explanation:
You should use the Parquet format (B) for the sales data files because it is optimized for performance with large datasets in analytical processing and create a shortcut in the Tables section (D) to facilitate SQL queries through the lakehouse's SQL endpoint. References = The best practices for working with file formats and shortcuts in a lakehouse environment are covered in the lakehouse and SQL endpoint documentation provided by the cloud data platform services.


NEW QUESTION # 31
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Fabric tenant that contains a semantic model named Model1.
You discover that the following query performs slowly against Model1.

You need to reduce the execution time of the query.
Solution: You replace line 4 by using the following code:

Does this meet the goal?

  • A. No
  • B. Yes

Answer: B


NEW QUESTION # 32
You have a Fabric tenant that contains a warehouse named DW1 and a lakehouse named LH1. DW1 contains a table named Sales.Product. LH1 contains a table named Sales.Orders.
You plan to schedule an automated process that will create a new point-in-time (PIT) table named Sales.ProductOrder in DW1. Sales.ProductOrder will be built by using the results of a query that will join Sales.Product and Sales.Orders.
You need to ensure that the types of columns in Sales. ProductOrder match the column types in the source tables. The solution must minimize the number of operations required to create the new table.
Which operation should you use?

  • A. CREATE MATERIALIZED VIEW AS SELECT
  • B. CREATE TABLE AS SELECT (CTAS)
  • C. CREATE TABLE AS CLONE OF
  • D. INSERT INTO

Answer: B


NEW QUESTION # 33
You need to resolve the issue with the pricing group classification.
How should you complete the T-SQL statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 34
......

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