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Microsoft Exam MB-260 Topic 7 Question 41 Discussion

Actual exam question for Microsoft's MB-260 exam
Question #: 41
Topic #: 7
[All MB-260 Questions]

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.

A company's IT department has a CSV file stored on one of their Shared Documents folders within their Microsoft SharePoint sites. The data from the CSV file is ingested into Dynamics 365 Customer Insights - Data.

The file contains a row header and columns of different types, such as quantities and prices. The file also contains some rows with a high proportion of nulls.

You need to clean and transform the data in Customer Insights - Data to be ready for unification.

Solution: Transform the first row to be used as headers, remove rows that contain null values, and name the query. Select Next and your data is now ready for unification.

Does this meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

Andrew
2 months ago
Yep, this looks like the way to go. Reminds me of that time I had to tidy up my sock drawer. Felt so satisfying when it was all neat and organized.
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Cora
2 months ago
This is a classic 'clean up your room' type of question. Just gotta take out the trash and label everything nicely. Easy peasy!
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Fallon
2 months ago
I agree with the solution. Cleansing the data is crucial before unification, and this approach seems to cover the key steps. Just don't forget to check for any special characters or formatting issues in the CSV file.
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Diego
29 days ago
User 3: B) No
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Malcom
1 months ago
User 3: B) No
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Alline
1 months ago
User 2: I agree with the solution. Cleansing the data is crucial before unification, and this approach seems to cover the key steps. Just don't forget to check for any special characters or formatting issues in the CSV file.
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Vonda
1 months ago
User 2: I agree with the solution. Cleansing the data is crucial before unification, and this approach seems to cover the key steps. Just don't forget to check for any special characters or formatting issues in the CSV file.
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Terrilyn
1 months ago
User 1: A) Yes
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Veronica
1 months ago
A) Yes
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Suzi
2 months ago
I'm not sure, maybe we should also check if transforming the first row as headers is necessary.
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Trina
2 months ago
I agree with Jill, removing rows with null values is important for data cleaning.
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Minna
2 months ago
Hmm, I'm not sure. What if some of those null values are actually important? Removing them might cause us to lose valuable data.
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Amie
2 months ago
Yes, this solution looks good. Transforming the header row, removing rows with null values, and naming the query should get the data ready for unification in Dynamics 365 Customer Insights.
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Merilyn
2 months ago
A) Yes
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Cherelle
2 months ago
Transforming the header row, removing rows with null values, and naming the query should get the data ready for unification in Dynamics 365 Customer Insights.
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Ariel
2 months ago
Yes, this solution looks good.
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Jill
3 months ago
I think the solution meets the goal.
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