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Microsoft Exam MB-260 Topic 3 Question 42 Discussion

Actual exam question for Microsoft's MB-260 exam
Question #: 42
Topic #: 3
[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: Remove any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, 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: B

Contribute your Thoughts:

Quentin
19 days ago
But the solution also deletes leading or trailing zeros on the primary key, which helps clean the data.
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Diego
20 days ago
I disagree, I don't think it's enough to just remove rows with missing primary keys.
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Yuette
20 days ago
Ha! Deleting leading or trailing zeros, really? I bet the next question will be about how to restore those zeros after the unification.
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Eveline
2 days ago
User 2: No
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Kallie
6 days ago
User 1: Yes
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Jaime
1 months ago
Naming the query is a nice touch, but I would also suggest checking for any other data quality issues, like invalid or inconsistent data types.
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Carlee
1 months ago
Removing rows with missing primary keys is definitely a good first step, but I'm not sure if that's enough to fully clean and transform the data for unification.
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Louvenia
11 days ago
User1: Yeah, I think we might need to do more than just removing rows with missing primary keys.
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Casie
15 days ago
User3: I would say no, it might need more cleaning before it's ready for unification.
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Paola
16 days ago
User2: Agreed, but I'm not sure if that's enough to fully clean and transform the data.
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Francine
28 days ago
User1: I think removing rows with missing primary keys is a good start.
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Quentin
1 months ago
I think the solution meets the goal.
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Cecilia
1 months ago
The solution seems reasonable, but I'm not sure if deleting leading or trailing zeros on the primary key is a good idea. That might affect the integrity of the data.
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Jade
27 days ago
User1: I think we should go with option A) Yes.
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Mattie
27 days ago
User2: I'm not so sure about that. Deleting leading or trailing zeros on the primary key could cause issues.
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