Microsoft PL-300 Exam - Topic 15 Question 27 Discussion

Actual exam question for Microsoft's PL-300 exam

Question #: 27
Topic #: 15

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.

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You are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records.

During the development process, you need to import a sample of the data from the Order table.

Solution: From Power Query Editor, you import the table and then add a filter step to the query.

Does this meet the goal?

AYes

BNo

Show Suggested Answer

Suggested Answer: A

by Nicolette at Jul 09, 2023, 12:08 PM

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Alverta

6 months ago

Agreed, using filters is a smart move for managing big data!

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Carmen

6 months ago

Wait, can you really handle 100 million records like that? Sounds risky!

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Blondell

7 months ago

Definitely meets the goal! Filtering is key for large datasets.

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Malcom

7 months ago

I think it doesn't really meet the goal. You need to limit the rows first.

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Arlene

7 months ago

Yes, filtering in Power Query is a solid way to sample data!

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Alesia

7 months ago

I’m leaning towards "No" because I recall that filtering after import can still lead to performance issues with such a large table.

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Mitzie

8 months ago

I feel like importing the entire table first might not be the best approach. I think we should be able to sample directly without bringing in all those records.

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Julio

8 months ago

I remember practicing a similar question where filtering was key, but I wonder if just filtering after importing is enough for a large dataset like this.

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Lavera

8 months ago

I think adding a filter step in Power Query should help reduce the amount of data imported, but I'm not entirely sure if it meets the goal of sampling effectively.

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Thurman

8 months ago

I'm pretty sure this is asking about how to generate a GUID in code, so I think the answer is probably a call to a JavaScript function.

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Tuyet

8 months ago

Hmm, I'm a bit confused about the difference between single and double quotes when using environment variables. I'll need to review that part carefully.

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Haley

8 months ago

I vaguely remember something about the percentage of the business value being key to the deferral, but I'm not sure if it's specifically over 50%.

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Abel

8 months ago

I seem to recall that composability is about how services work together, so I guess I'm also leaning towards False.

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Laurel

1 year ago

This is a no-brainer. Filtering the data in Power Query is the perfect solution. It's like a ninja move to handle that huge table.

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Paul

1 year ago

Absolutely, the filter step is the way to go. It's like using a magic wand to summon only the data you need - no more, no less.

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Ahmad

1 year ago

Haha, 100 million records? That's a lot of data! This solution definitely beats trying to import the whole thing. Well done, Power BI!

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Lorrie

11 months ago

User 4: Power BI for the win!

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Jesus

11 months ago

User 3: Agreed, this solution is much more efficient

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Kris

11 months ago

User 2: Definitely, importing the whole table would have been a nightmare

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Monroe

12 months ago

User 1: Yes

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Page

1 year ago

I agree, using a filter step is a smart approach. It allows you to quickly get a sample of the data without having to load the full 100 million records.

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Janet

11 months ago

User 3: A) Yes

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Remedios

12 months ago

User 2: B) No

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Leslee

1 year ago

User 1: A) Yes

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Marti

1 year ago

Yes, this solution looks good to me. Filtering the data in the Power Query Editor is a great way to work with a large dataset without bringing in the entire table.

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Verona

12 months ago

Yes, this solution looks good to me. Filtering the data in the Power Query Editor is a great way to work with a large dataset without bringing in the entire table.

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