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Google Professional Machine Learning Engineer Exam - Topic 9 Question 44 Discussion

You work for an advertising company and want to understand the effectiveness of your company's latest advertising campaign. You have streamed 500 MB of campaign data into BigQuery. You want to query the table, and then manipulate the results of that query with a pandas dataframe in an Al Platform notebook. What should you do?
C) Download your table from BigQuery as a local CSV file, and upload it to your Al Platform notebook instance Use pandas. read_csv to ingest the file as a pandas dataframe
A) Use Al Platform Notebooks' BigQuery cell magic to query the data, and ingest the results as a pandas dataframe
B) Export your table as a CSV file from BigQuery to Google Drive, and use the Google Drive API to ingest the file into your notebook instance
D) From a bash cell in your Al Platform notebook, use the bq extract command to export the table as a CSV file to Cloud Storage, and then use gsutii cp to copy the data into the notebook Use pandas. read_csv to ingest the file as a pandas dataframe

Google Professional Machine Learning Engineer Exam - Topic 9 Question 44 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 44
Topic #: 9
[All Professional Machine Learning Engineer Questions]

You work for an advertising company and want to understand the effectiveness of your company's latest advertising campaign. You have streamed 500 MB of campaign data into BigQuery. You want to query the table, and then manipulate the results of that query with a pandas dataframe in an Al Platform notebook. What should you do?

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Suggested Answer: C

by Maile at May 03, 2022, 08:51 AM

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Grover
10 months ago
Totally agree with A, it's straightforward and efficient!
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Dong
10 months ago
D sounds cool, but is it really necessary to use bash?
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Vivienne
11 months ago
C seems like a hassle, why not just use A?
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Nguyet
11 months ago
I think B is a bit too complicated for this.
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Amina
11 months ago
A is the easiest way to go!
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Candida
11 months ago
Option D sounds a bit complex with the bash commands. I think we discussed using Cloud Storage, but I'm not confident if that's the best way to handle this situation.
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Marjory
11 months ago
I recall a similar question where we had to download data as a CSV. Option C seems like it could work, but I wonder if it's the most efficient method.
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Jestine
11 months ago
I'm not entirely sure, but I remember something about exporting data to Google Drive. Option B might be a valid choice, but it feels a bit more complicated.
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Carlton
11 months ago
I think option A sounds familiar since we practiced using BigQuery cell magic in our last session. It seems like the most straightforward approach.
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Brianne
11 months ago
This seems like a straightforward question about the differences between group healthcare and workers' compensation. I'll focus on identifying the key distinction that workers' compensation only covers job-related injuries, regardless of fault.
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Nan
11 months ago
Okay, I see what they're asking for. I just need to make sure I get the right administrative distance values and next-hop interfaces for each static route. I think I can do this.
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Garry
11 months ago
Maybe it's Option A? I'm remembering something about customer-assigned prefixes from last week, but I need to double-check my notes.
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Mitzie
11 months ago
Hmm, I'm not too familiar with the details of self-funded healthcare plans. I'll need to think this through carefully to make sure I understand the key points.
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