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Google Exam Professional Cloud Architect Topic 6 Question 100 Discussion

Actual exam question for Google's Professional Cloud Architect exam
Question #: 100
Topic #: 6
[All Professional Cloud Architect Questions]

Your company has a Google Cloud project that uses BigQuery for data warehousing on a pay-per-use basis. You want to monitor queries in real time to discover the most costly queries and which users spend the most. What should you do?

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Suggested Answer: C

https://cloud.google.com/blog/products/data-analytics/taking-a-practical-approach-to-bigquery-cost-monitoring


by Tegan at Jan 11, 2025, 12:22 PM

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Jacki
4 months ago
Option C, huh? I guess they're really trying to squeeze every penny out of our BigQuery usage. Better keep those queries lean and mean!
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Vallie
4 months ago
Option D? More like Option 'Doh!' Am I right? Someone's been drinking too much cloud Kool-Aid.
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Art
3 months ago
D) In the BigQuery dataset that contains all the tables to be queried, add a label for each user that can launch a query. Open the Billing page of the project. Select Reports. Select BigQuery as the product and filter by the user you want to check.
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Bernardo
3 months ago
C) Activate billing export into BigQuery. Perform a BigQuery query on the billing table to extract the information you need.
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Shawnda
3 months ago
B) Create a Cloud Logging sink to export BigQuery data access logs to BigQuery. Perform a BigQuery query on the generated table to extract the information you need.
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Jaime
4 months ago
A) Create a Cloud Logging sink to export BigQuery data access logs to Cloud Storage. Develop a Dataflow pipeline to compute the cost of queries split by users.
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Arlene
4 months ago
I'd go with Option B. Keeping the logs in BigQuery just makes sense - no need to export them anywhere else. Efficient and straightforward.
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Marvel
4 months ago
Option A gets my vote. Dataflow can crunch the numbers and give us the insights we need. Plus, Storage is much cooler than BigQuery, right?
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Eric
5 months ago
Option D is way too complicated. Who has time to mess with all those labels and Billing reports? No thanks!
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Quentin
4 months ago
B) 1. Create a Cloud Logging sink to export BigQuery data access logs to BigQuery. 2. Perform a BigQuery query on the generated table to extract the information you need.
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Rosalind
4 months ago
A) 1. Create a Cloud Logging sink to export BigQuery data access logs to Cloud Storage. 2. Develop a Dataflow pipeline to compute the cost of queries split by users.
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Ria
5 months ago
Option C looks good to me. Tapping into the billing data should give us the details we need on query costs and user activity.
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Rasheeda
4 months ago
2. Perform a BigQuery query on the billing table to extract the information you need.
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Beckie
4 months ago
C) 1. Activate billing export into BigQuery.
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Deeanna
5 months ago
I'm not sure, I think option B could also work. Exporting BigQuery data access logs to BigQuery and performing a query on the generated table might provide the information we need.
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Charolette
5 months ago
I think Option B is the way to go. Exporting the logs directly to BigQuery makes the data more accessible for querying.
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Joesph
4 months ago
Let's go with Option B then. It's a straightforward solution to analyze costly queries and user spending.
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Katlyn
5 months ago
I agree, it seems like the most efficient way to monitor queries and track user activity.
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Paulina
5 months ago
Option B is a good choice. Exporting logs to BigQuery will make it easier to extract the information we need.
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Sabine
5 months ago
I agree with Lacey. Option A seems like the most efficient way to monitor queries in real time and identify the most costly queries and users.
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Lacey
5 months ago
I think option A is the best choice because it involves exporting BigQuery data access logs to Cloud Storage and developing a Dataflow pipeline to compute the cost of queries split by users.
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Lavonna
5 months ago
Option A seems the most comprehensive approach to monitoring BigQuery queries and costs in real-time.
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Daisy
4 months ago
Yes, it would definitely help in identifying the most costly queries and which users are spending the most.
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Oren
5 months ago
I agree, creating a Cloud Logging sink to export BigQuery data access logs to Cloud Storage and developing a Dataflow pipeline sounds efficient.
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Gayla
5 months ago
Option A seems the most comprehensive approach to monitoring BigQuery queries and costs in real-time.
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