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Exam Professional Cloud Architect topic 8 question 9 discussion

Actual exam question from Google's Professional Cloud Architect
Question #: 9
Topic #: 8
[All Professional Cloud Architect Questions]

TerramEarth has equipped all connected trucks with servers and sensors to collect telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs.
What should they do?

  • A. Have the vehicle's computer compress the data in hourly snapshots, and store it in a Google Cloud Storage (GCS) Nearline bucket
  • B. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery
  • C. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable
  • D. Have the vehicle's computer compress the data in hourly snapshots, and store it in a GCS Coldline bucket
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️

Comments

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JoeShmoe
Highly Voted 5 years, 5 months ago
D is most cost effective as don't want to use until 'next year'
upvoted 33 times
tartar
4 years, 8 months ago
D is ok
upvoted 8 times
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nitinz
4 years, 2 months ago
D is most cost effective
upvoted 2 times
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HCL
4 years, 1 month ago
Hourly snapshots in answer D does not make any sense. The answer is B.
upvoted 1 times
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samsonakala
Most Recent 4 weeks ago
Selected Answer: D
Next year? Obviously coldline (D)
upvoted 1 times
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Foxy2021
1 month ago
Selected Answer: A
They want to use the data next year, it means they still need to access the data for data early to perform data cleaning and prepare the data to access it next year
upvoted 1 times
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rrope
4 months, 1 week ago
Selected Answer: A
A next year...
upvoted 1 times
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desertlotus1211
5 months ago
Selected Answer: A
The data is going to be used next year. Which mean infrequent. Coldline is long term storage that doesn't need to be accessed maybe once every 5 year. retrieval cost is high
upvoted 1 times
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Sephethus
9 months, 4 weeks ago
I hope this question isn't on the test. This quesiton is the most obnoxiously thoughtless and ill considered question I've come across and there are a lot of really bad ones on this test. I would probably pick D. Dataflow can be really expensive.
upvoted 1 times
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Deb2293
2 years, 1 month ago
Selected Answer: D
If the words 'next year' wouldn't have been there then Big Table 💯 . But as it will be required next year so Coldline bucket would be the most cost effective solution.
upvoted 1 times
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omermahgoub
2 years, 4 months ago
One option that TerramEarth could consider is storing the telemetry data in a Google Cloud Storage (GCS) Nearline bucket. This would allow them to store the data in the cloud at a lower cost than other storage options, while still providing quick access to the data when needed. By having the vehicle's computer compress the data in hourly snapshots, they can reduce the amount of storage needed and further reduce costs.
upvoted 2 times
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surajkrishnamurthy
2 years, 4 months ago
Selected Answer: D
D is the correct answer Clue is "next year they want to use the data" Therefore moving the data to coldline storage makes more sense
upvoted 4 times
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megumin
2 years, 5 months ago
Selected Answer: D
ok for D
upvoted 1 times
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Mahmoud_E
2 years, 6 months ago
Selected Answer: D
D is the correct answer
upvoted 1 times
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AzureDP900
2 years, 10 months ago
I miss the point about cost optimization and I thought C is right. After reading the discussions I realized D is right answer. I am going with D
upvoted 1 times
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Aiffone
3 years, 3 months ago
Big query does it. B...when it's long term storage, it costs same as coldline https://cloud.google.com/bigquery/docs/best-practices-storage
upvoted 1 times
Wonka
3 years, 3 months ago
It cost same as nearline when not accessed, but coldline is cheaper than BQ
upvoted 4 times
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Aiffone
3 years, 3 months ago
the highlight here is machine learning and not disaster recovery or data arhiving which is what coldline storages are for. You also dont pay for datawarehousing in bigquery until you read from it for machine learning. So its cheap and good for ML. i go with B
upvoted 1 times
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vincy2202
3 years, 4 months ago
D is the correct answer
upvoted 1 times
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mgm7
3 years, 4 months ago
D makes sense IF the "computer" on the vehicle can compress data and can take snapshots. Are we supposed to to assume that these "computers" have snapshot capability though it is no stated anywhere in the question? Yet, if magically this was possible, this is the correct answer. If this indeed is the correct answer then the only logical deduction is that the questions is stated horribly. I only can hope the real exam isn't like this.
upvoted 1 times
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joe2211
3 years, 5 months ago
Selected Answer: D
vote D
upvoted 2 times
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A (35%)
C (25%)
B (20%)
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