PROFESSIONAL-CLOUD-DATABASE-ENGINEER · Question #2
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and…
The correct answer is C. Use MongoD8 Atlas with Charts. MongoDB Atlas with Charts is the correct choice because it is the only truly multi-cloud managed database service among the options. MongoDB Atlas runs natively on AWS, Azure, and Google Cloud, which directly satisfies the multi-cloud strategy requirement. It is designed for…
Question
Your team uses thousands of connected IoT devices to collect device maintenance data for your oil and gas customers in real time. You want to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by these devices. You need a managed solution that is highly scalable, supports a multi-cloud strategy, and offers low latency for these IoT devices. What should you do?
Options
- AUse Firestore with Looker.
- BUse Cloud Spanner with Data Studio.
- CUse MongoD8 Atlas with Charts.
- DUse Bigtable with Looker.
How the community answered
(31 responses)- A3% (1)
- B6% (2)
- C81% (25)
- D10% (3)
Explanation
MongoDB Atlas with Charts is the correct choice because it is the only truly multi-cloud managed database service among the options. MongoDB Atlas runs natively on AWS, Azure, and Google Cloud, which directly satisfies the multi-cloud strategy requirement. It is designed for high-throughput IoT workloads with horizontal scalability and low-latency data ingestion. MongoDB Charts provides native real-time visualization of device data without requiring an external BI tool. The other options - Firestore, Cloud Spanner, and Bigtable - are all Google Cloud-only services and cannot satisfy a multi-cloud strategy. Bigtable with Looker (D) would otherwise be a strong IoT fit technically, but fails the multi-cloud requirement.
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