Free Google Professional Cloud Database Engineer Actual Exam Questions - Question 9 Discussion
Question No. 9
You want to migrate an existing on-premises application to Google Cloud. Your application supports
semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second
from manufacturing plants. You need to make this data available for real-time monitoring and
analysis. What should you do?
semi-structured data ingested from 100,000 sensors, and each sensor sends 10 readings per second
from manufacturing plants. You need to make this data available for real-time monitoring and
analysis. What should you do?
Select one option, then reveal solution.
US
KZ
Kevin Z.
2026-02-18
C imo, Bigtable is built for high-volume, low-latency time-series data like this.
0
OF
Osama F.
2026-02-11
C/D? Bigtable is perfect for time-series data at high throughput, but if you need SQL and strong consistency across regions, Spanner fits better. Since the question highlights real-time monitoring, Bigtable's speed matters more here.
0
SA
Sohail A.
2026-02-02
C/D? Bigtable handles high write throughput and is optimized for time-series data like sensor readings. Spanner is great for strong consistency but might be overkill if global transactions aren’t needed.
0
ZK
Zain K.
2026-01-20
C, Bigtable fits high write throughput and semi-structured sensor data well.
0
NI
Naveed I.
2026-01-16
C imo
0