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Microsoft Exam PL-300 Topic 1 Question 50 Discussion

Actual exam question for Microsoft's PL-300 exam
Question #: 50
Topic #: 1
[All PL-300 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.

From Power Query Editor, you profile the data shown in the following exhibit.

The IoT GUID and IoT ID columns are unique to each row in query.

You need to analyze IoT events by the hour and day of the year. The solution must improve dataset performance.

Solution: You split the loT DateTime column into a column named Date and a column named Time.

Does this meet the goal?

Show Suggested Answer Hide Answer
Suggested Answer: A

Contribute your Thoughts:

Lajuana
1 months ago
Ah, the old 'split the datetime column' trick. It's like the duct tape of data analysis - works for everything, but it's not always the best solution.
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Rima
3 days ago
A) Yes
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Ben
2 months ago
Splitting the datetime column? How novel! I bet the next thing they'll tell us is to use a pivot table or something equally groundbreaking.
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Amie
2 months ago
I'm not sure splitting the datetime column is enough to meet the stated goal. Seems like we'd need to do some additional work to actually optimize the dataset for the specified analysis.
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Lynelle
21 days ago
B) No
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Mose
23 days ago
I agree, just splitting the datetime column may not be sufficient to improve dataset performance for analyzing IoT events by the hour and day of the year.
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Lenna
24 days ago
B) No
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Sarina
1 months ago
A) Yes
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Fletcher
2 months ago
This solution is a bit simplistic. While splitting the date and time columns is a common first step, it doesn't really 'improve dataset performance' as required by the question.
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Lorita
2 months ago
Splitting the IoT DateTime column is a good start, but it doesn't really address the performance issue. We'd still need to do some additional work to optimize the dataset for hourly and daily analysis.
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Wei
23 days ago
Splitting the IoT DateTime column is a good start, but it doesn't really address the performance issue. We'd still need to do some additional work to optimize the dataset for hourly and daily analysis.
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Evangelina
1 months ago
B) No
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Tina
1 months ago
A) Yes
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Isreal
2 months ago
I think splitting the loT DateTime column into Date and Time will help analyze the data better.
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Eleonora
3 months ago
B) No
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Isreal
3 months ago
A) Yes
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