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Google Professional Data Engineer Exam - Topic 4 Question 64 Discussion

You are using Google BigQuery as your data warehouse. Your users report that the following simple query is running very slowly, no matter when they run the query:SELECT country, state, city FROM [myproject:mydataset.mytable] GROUP BY countryYou check the query plan for the query and see the following output in the Read section of Stage:1:What is the most likely cause of the delay for this query?
C) Either the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values
A) Users are running too many concurrent queries in the system
B) The [myproject:mydataset.mytable] table has too many partitions
D) Most rows in the [myproject:mydataset.mytable] table have the same value in the country column, causing data skew

Google Professional Data Engineer Exam - Topic 4 Question 64 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 64
Topic #: 4
[All Professional Data Engineer Questions]

You are using Google BigQuery as your data warehouse. Your users report that the following simple query is running very slowly, no matter when they run the query:

SELECT country, state, city FROM [myproject:mydataset.mytable] GROUP BY country

You check the query plan for the query and see the following output in the Read section of Stage:1:

What is the most likely cause of the delay for this query?

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Suggested Answer: C

by Dalene at Jan 09, 2023, 01:26 PM

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Lai
7 months ago
Concurrent queries might be a factor too, though.
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Dominga
7 months ago
Wait, how can there be so many NULLs? That seems odd.
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Kathrine
7 months ago
I disagree, it could be the NULL values in state or city.
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Izetta
8 months ago
Definitely too many partitions in that table!
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Kristine
8 months ago
I think it's data skew from the country column.
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Janey
8 months ago
I think the issue might be related to concurrent queries. If too many users are running queries at once, it could definitely slow things down.
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Rolande
8 months ago
I feel like NULL values in the state or city columns could be a factor, but I can't recall if they would impact performance this much.
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Mitsue
8 months ago
I'm not entirely sure, but I think having too many partitions can slow down queries too. We practiced a question about that last week.
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Shad
8 months ago
I remember we discussed how data skew can really affect query performance, especially if most rows have the same value in a column.
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Helaine
8 months ago
Hmm, I'm a bit unsure about this one. I know Android has a backup service, but I can't recall the exact details of how to register an app with it. I'll have to think this through step-by-step.
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Beatriz
8 months ago
This seems like a straightforward email send, so I'm leaning towards the Guided Send option. It should give me the right level of control and flexibility for this use case.
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Filiberto
8 months ago
This question is asking about the capabilities of a custom Create action for the Contact object. I'll need to think carefully about the different options and which ones are true.
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Trinidad
8 months ago
I feel pretty confident about this one. The key is that just cause for termination must be based on the employee's conduct or performance, not their protected class status. So A is the correct answer.
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Amina
1 year ago
Who needs speed when you can just sit back and enjoy the slow, steady progress of your query? It's like watching grass grow, but with numbers!
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Tammara
1 year ago
I'm pretty sure the users are just running too many queries at the same time. They need to schedule their queries better!
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Alaine
11 months ago
Data skew from most rows having the same value in the country column might be the issue.
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Elenore
11 months ago
It could be because of NULL values in the state or city columns.
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Annice
12 months ago
Maybe the table has too many partitions causing the slow query.
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Teresita
12 months ago
I think the delay is because of too many concurrent queries.
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Haydee
1 year ago
Hmm, I bet the data is skewed in the country column. Too many rows with the same value would explain the slow performance.
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Val
12 months ago
C) Either the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values
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Ettie
12 months ago
B) The [myproject:mydataset.mytable] table has too many partitions
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Mariko
12 months ago
C) Either the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values
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Miesha
12 months ago
B) The [myproject:mydataset.mytable] table has too many partitions
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Gwenn
12 months ago
A) Users are running too many concurrent queries in the system
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Rene
1 year ago
A) Users are running too many concurrent queries in the system
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Eleni
1 year ago
Wow, that's a lot of scan bytes! Maybe the table has too many NULL values in the state or city columns, causing the system to work harder to process all the data.
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Antonio
12 months ago
D) Most rows in the [myproject:mydataset.mytable] table have the same value in the country column, causing data skew
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Shaunna
12 months ago
C) Either the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values
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Louann
12 months ago
B) The [myproject:mydataset.mytable] table has too many partitions
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Amie
1 year ago
A) Users are running too many concurrent queries in the system
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Nell
1 year ago
D) Most rows in the [myproject:mydataset.mytable] table have the same value in the country column, causing data skew
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Ahmed
1 year ago
C) Either the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values
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Zana
1 year ago
B) The [myproject:mydataset.mytable] table has too many partitions
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Buddy
1 year ago
A) Users are running too many concurrent queries in the system
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Marvel
1 year ago
The query is slow because there are too many partitions in the table. The data is not distributed evenly, causing the system to work harder to process all the partitions.
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Mammie
1 year ago
B) The [myproject:mydataset.mytable] table has too many partitions
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Wai
1 year ago
A) Users are running too many concurrent queries in the system
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Virgilio
1 year ago
But could it also be because of too many partitions in the table?
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Jaime
1 year ago
I agree with Kiley, data skew can definitely slow down the query.
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Kiley
1 year ago
I think the delay is caused by data skew.
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