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Exam Professional Cloud Architect topic 1 question 143 discussion

Actual exam question from Google's Professional Cloud Architect
Question #: 143
Topic #: 1
[All Professional Cloud Architect Questions]

Your company is designing its data lake on Google Cloud and wants to develop different ingestion pipelines to collect unstructured data from different sources.
After the data is stored in Google Cloud, it will be processed in several data pipelines to build a recommendation engine for end users on the website. The structure of the data retrieved from the source systems can change at any time. The data must be stored exactly as it was retrieved for reprocessing purposes in case the data structure is incompatible with the current processing pipelines. You need to design an architecture to support the use case after you retrieve the data. What should you do?

  • A. Send the data through the processing pipeline, and then store the processed data in a BigQuery table for reprocessing.
  • B. Store the data in a BigQuery table. Design the processing pipelines to retrieve the data from the table.
  • C. Send the data through the processing pipeline, and then store the processed data in a Cloud Storage bucket for reprocessing.
  • D. Store the data in a Cloud Storage bucket. Design the processing pipelines to retrieve the data from the bucket.
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by vladik820 at Aug. 26, 2021, 7:43 a.m.

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vladik820
Highly Voted 2 years, 10 months ago
D is ok The data needs to be stored as it is retrieved. This would mean that any processing should be done after it is stored.
upvoted 28 times
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MaxNRG
Highly Voted 2 years, 8 months ago
D, store RAW unstructured data as-is in Cloud Storage, and then define how to process it. Classical Data Lake ELT (Extract -> Load -> Transform )
upvoted 7 times
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Gino17m
Most Recent 2 months, 1 week ago
Selected Answer: D
D Unstructured data - GCS Data stored axactly as it was retrieved - store before processing
upvoted 1 times
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anjanc
6 months, 2 weeks ago
Key word is "The data must be stored exactly as it was retrieved for reprocessing purposes in case the data structure is incompatible with the current processing pipelines." and hence D
upvoted 1 times
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devnul
10 months, 1 week ago
D. It aligns with an example in the Cloud Architecture Framework https://cloud.google.com/architecture/big-data-analytics/analytics-lakehouse
upvoted 2 times
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BeCalm
1 year, 3 months ago
What is the point of data being in a lake and then being dumped into GCS without processing. What purpose is served with GCS being a copy of lake?
upvoted 1 times
jlambdan
1 year, 3 months ago
here gcs is the lake. Not a copy. The data warehouse will be what comes out of the pipelines.
upvoted 3 times
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megumin
1 year, 7 months ago
Selected Answer: D
D is ok
upvoted 2 times
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jmblancof
1 year, 8 months ago
D is ok
upvoted 2 times
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Nirca
1 year, 9 months ago
Selected Answer: D
D is ok The data needs to be stored as it is retrieved. This would mean that any processing should be done after it is stored in GCS.
upvoted 2 times
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AzureDP900
1 year, 12 months ago
storing and retrieving data in cloud storage solve the purpose of this use case. D is perfect answer.
upvoted 1 times
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snwbr
2 years, 3 months ago
Although... wouldn't be Bigtable or Datastore better than GCS?
upvoted 1 times
wykofc
1 year, 11 months ago
Both BigTable and DataStore are NoSQL Databases, qns mentioned that data structure may change anytime
upvoted 2 times
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[Removed]
2 years, 4 months ago
Selected Answer: D
I got similar question on my exam. Answered D.
upvoted 4 times
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technodev
2 years, 5 months ago
Got this question in my exam, answered D
upvoted 4 times
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lxgywil
2 years, 5 months ago
D is ok
upvoted 2 times
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vincy2202
2 years, 7 months ago
D is the correct answer
upvoted 1 times
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pakilodi
2 years, 7 months ago
Selected Answer: D
D is correct
upvoted 1 times
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TheCloudBoy77
2 years, 7 months ago
D - Data must be stored as it is before and after so use Cloud storage and then build pipelines as needed.
upvoted 2 times
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