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Exam Professional Cloud Architect topic 1 question 20 discussion

Actual exam question from Google's Professional Cloud Architect
Question #: 20
Topic #: 1
[All Professional Cloud Architect Questions]

You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading.
Where should you store the data?

  • A. Google BigQuery
  • B. Google Cloud SQL
  • C. Google Cloud Bigtable
  • D. Google Cloud Storage
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️
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
Reference:
https://cloud.google.com/storage-options/

Comments

Chosen Answer:
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victory108
Highly Voted 2 years, 9 months ago
C. Google Cloud Bigtable
upvoted 11 times
khadar
1 year, 7 months ago
I too got this question in 10-09-22 exam with similar option and result is pass
upvoted 4 times
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lisabisa
Most Recent 2 months ago
Bigtable - NoSQL, high-throughput, low-latency, making it suitable for storing time-series data from sensors
upvoted 2 times
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alekonko
1 year, 1 month ago
Selected Answer: C
BigTable is NoSQL for IoT
upvoted 2 times
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sivaamum
1 year, 1 month ago
C is correct
upvoted 1 times
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omermahgoub
1 year, 4 months ago
To optimize the performance of an accurate, real-time, weather-charting application that receives data from 50,000 sensors sending 10 readings per second, it would be most appropriate to store the data in a distributed, horizontally scalable, NoSQL database such as Google Cloud Bigtable Other options, such as Google BigQuery, Google Cloud SQL, and Google Cloud Storage, may not be as well-suited for handling high volumes of real-time data and may not provide the same level of performance and scalability as Google Cloud Bigtable.
upvoted 3 times
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Bry_040706
1 year, 4 months ago
C. Bigtable, IoT data.
upvoted 1 times
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AniketD
1 year, 5 months ago
Selected Answer: C
C Bigtable
upvoted 1 times
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Mahmoud_E
1 year, 6 months ago
Selected Answer: C
C bigtable right answer
upvoted 1 times
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zr79
1 year, 6 months ago
real-time, IoT, time series and huge writes are some of the keywords to look after for Bigtable
upvoted 4 times
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minmin2020
1 year, 6 months ago
Selected Answer: C
C. Google Cloud Bigtable
upvoted 1 times
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holerina
1 year, 7 months ago
C big table for IOT data
upvoted 1 times
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abirroy
1 year, 8 months ago
Selected Answer: C
Google Cloud Bigtable
upvoted 1 times
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Dhiraj03
1 year, 10 months ago
Keyword - Timestamp - Big table
upvoted 2 times
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szanio
1 year, 10 months ago
Go for c
upvoted 1 times
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Nirca
2 years ago
Selected Answer: C
C. Google Cloud Bigtable is the Best Practice option
upvoted 1 times
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belly265
2 years, 2 months ago
Ans c - when ever thier is input from IOT devices across and time series data which is huge go for big table in gcp
upvoted 2 times
AzureDP900
1 year, 6 months ago
Big Table is right choice, hence C is correct
upvoted 1 times
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Narinder
2 years, 3 months ago
Google Cloud Big Table is best for the use-case to store the time-series data, so C is correct
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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