Exam PL-600 topic 2 question 39 discussion

Actual exam question from Microsoft's PL-600

Question #: 39
Topic #: 2

HOTSPOT
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You are designing a solution to continually import data from several data sources into Microsoft Dataverse.

The solution must meet the following requirements:

• Include integrated error handling for records that fail to import successfully into Dataverse.
• Augment data with Al and machine learning models.

You need to select a component for each requirement.

Which components should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

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Suggested Answer:

by MrWood47 at Feb. 22, 2023, 8:25 p.m.

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Parth91

Highly Voted 1 year, 7 months ago

Requirement 1: Augment data with AI and machine learning models. Component: Analytical dataflow Analytical dataflow allows for data enrichment using AI and machine learning models. It includes built-in connectors to several data sources and allows for the creation of custom data enrichments using Power Query transformations. Requirement 2: Include integrated error handling in place for records that fail to import Component: Logic Apps Logic Apps provides robust error handling capabilities, including the ability to configure retries, notifications, and custom workflows for handling failed records. It also includes connectors to several data sources, making it easy to integrate with other components of the solution.

upvoted 15 times

Tootru2bReal

5 months, 2 weeks ago

1) Azure Data Factory (you cannot use an Analytical dataflow to import directly into Dataverse. That type of flow only imports into Azure Data Lake. Look it up. You are correct in that it can use AI and ML, but not into Dataverse). You can definitely use AI and machine learning with ADF to import directly into Dataverse. 2) PowerApps dataflow

upvoted 5 times

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MrWood47

Highly Voted 1 year, 10 months ago

Answers given are correct!

upvoted 9 times

rober13

1 year, 4 months ago

Analytical dataflow Power Apps Dataflow, you can analyze each row fail when it is imported and integrated multples sources.

upvoted 2 times

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Hamed64

Most Recent 1 week ago

Error handling for failed imports: Power Apps Dataflow Augment data with AI and machine learning models: Logic Apps Why not the others: - Analytical Dataflow: Designed for Power BI and analytics, not for operational data import or AI integration. - Azure Data Factory: Powerful for ETL and error handling, but not listed as an option for the first requirement in your current question.

upvoted 1 times

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loftuscheek

3 months ago

Augment data with AI and machine learning models: Analytical dataflow Include integrated error handling: Logic Apps

upvoted 2 times

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nqthien041292

7 months ago

Vote: Analytical dataflow Power Apps Dataflow

upvoted 2 times

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