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Exam Professional Cloud Architect topic 1 question 16 discussion

Actual exam question from Google's Professional Cloud Architect
Question #: 16
Topic #: 1
[All Professional Cloud Architect Questions]

You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute. With bursts of up to 8,500 clicks per second. It must have been stored for future analysis by your data science and user experience teams.
Which storage infrastructure should you choose?

  • A. Google Cloud SQL
  • B. Google Cloud Bigtable
  • C. Google Cloud Storage
  • D. Google Cloud Datastore
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
✑ Low-latency read/write access
✑ High-throughput analytics
✑ Native time series support
Common workloads:
✑ IoT, finance, adtech
✑ Personalization, recommendations
✑ Monitoring
✑ Geospatial datasets
✑ Graphs
Incorrect Answers:
C: Google Cloud Storage is a scalable, fully-managed, highly reliable, and cost-efficient object / blob store.
Is good for:
✑ Images, pictures, and videos
✑ Objects and blobs
✑ Unstructured data
D: Google Cloud Datastore is a scalable, fully-managed NoSQL document database for your web and mobile applications.
Is good for:
✑ Semi-structured application data
✑ Hierarchical data
✑ Durable key-value data
✑ Common workloads:
✑ User profiles
✑ Product catalogs
✑ Game state
Reference:
https://cloud.google.com/storage-options/

Comments

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victory108
Highly Voted 2 years, 9 months ago
B. Google Cloud Bigtable
upvoted 11 times
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jeff001
Highly Voted 3 years ago
B, Bigtable due to the IoT like requirements
upvoted 9 times
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pakilodi
Most Recent 4 months, 3 weeks ago
Selected Answer: B
The right answer is BigTable for a such large volume of data.
upvoted 1 times
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Nora9
5 months, 2 weeks ago
Selected Answer: B
B. Google cloud Bigtable is most suitable as it is for analysis and streamed data.
upvoted 1 times
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MartinFish
8 months, 1 week ago
Selected Answer: B
Note: DataStore is now rename as FireStore.
upvoted 1 times
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hiromi
1 year ago
Selected Answer: B
B is correct
upvoted 1 times
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alekonko
1 year, 1 month ago
Selected Answer: B
Bigtable is a high-perf NoSQL db service that handle large volumes of structured data with low latency
upvoted 3 times
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zerg0
1 year, 2 months ago
Selected Answer: B
The Google Cloud Bigtable goes together with the BigQuery. The question itself gives away a bit.
upvoted 1 times
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omermahgoub
1 year, 4 months ago
For storing click-data that is streamed in at a rate of 6,000 clicks per minute, with bursts of up to 8,500 clicks per second, and that needs to be stored for future analysis by your data science and user experience teams, you should consider using a scalable, high-performance, and low-latency NoSQL database such as Google Cloud Bigtable, option B. Google Cloud Bigtable is a fully managed, high-performance NoSQL database service that is designed to handle large volumes of structured data with low latency. It is well-suited for storing high-velocity data streams and can scale to handle millions of reads and writes per second. Option A: Google Cloud SQL, option C: Google Cloud Storage, and option D: Google Cloud Datastore, would not be suitable for this use case, as they are not designed to handle high-velocity data streams at this scale.
upvoted 4 times
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i_am_robot
1 year, 4 months ago
B. Google Cloud Bigtable Google Cloud Bigtable is a scalable, high-performance NoSQL database that is well-suited for storing large amounts of data with low latency. It is designed for high-throughput workloads such as streaming data, and is able to handle bursts of up to millions of reads and writes per second. Given the high volume of click data that needs to be stored and the requirement for low latency, Google Cloud Bigtable would be a good choice for storing the data. It is able to handle the high rate of incoming data and provide fast access to the data for analysis by the data science and user experience teams. Google Cloud SQL is a fully-managed relational database service, and may not be the best choice for storing high-volume streaming data. Google Cloud Storage is an object storage service, and may not provide the necessary performance for storing and querying large amounts of data in real-time. Google Cloud Datastore is a NoSQL document database, and while it may be suitable for storing large amounts of data, it may not provide the necessary performance for handling high volumes of streaming data.
upvoted 2 times
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Melampos
1 year, 4 months ago
Selected Answer: B
https://cloud.google.com/bigtable#section-9
upvoted 1 times
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Bry_040706
1 year, 5 months ago
B. Google Cloud Bigtable
upvoted 1 times
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AniketD
1 year, 5 months ago
Selected Answer: B
Cloud Bigtable has all the features to fulfill the requirements mentioned in the question
upvoted 1 times
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Mahmoud_E
1 year, 6 months ago
D is right answer
upvoted 1 times
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zr79
1 year, 6 months ago
Bigtable for a high volume of writes. 8500 clicks per sec
upvoted 3 times
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minmin2020
1 year, 6 months ago
Selected Answer: B
B. Google Cloud Bigtable
upvoted 1 times
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holerina
1 year, 7 months ago
for analystics choose big table
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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