Exam Professional Cloud Database Engineer topic 1 question 21 discussion

By combining Google Cloud IoT Core for device management and data ingestion, Google Cloud Bigtable for storing and processing IoT data with low latency, and Looker for advanced analytics and visualization, you can build a highly scalable, multi-cloud compatible, and low-latency solution to address your IoT device maintenance requirements effectively.

D. The question says a managed solution, so that eliminates C. Firestore and Spanner do not have the scalability or low latency required. This leaves D. Bigtable by itself is a GCP thing, but Looker allows data visualization across multiple cloud environments. https://www.looker.com/google-cloud/

Managed solution hence Bigtable is right choice

Agree with D as You need a managed solution

Bigtable can't be integrated with looker

C . As its says to avoid refactoring.

Google will only pitch its own products

multi-cloud

I think Looker is multi-cloud as some of the colleagues said in this post. So I choose D. https://services.google.com/fh/files/misc/042420-ppm-multi-cloud-one-sheet-8-5x11-en-web-gc.pdf

I think Looker is multi-cloud as some of the colleagues said in this post. So I choose D. https://services.google.com/fh/files/misc/042420-ppm-multi-cloud-one-sheet-8-5x11-en-web-gc.pdf

As others said, MongoDB is the only one that support multi-cloud (otherwise D is also a candidate).

The answer is D. Use Bigtable with Looker. Bigtable is a fully managed, petabyte-scale NoSQL wide column database service for storing large amounts of data. It is designed for low latency, high throughput, and scalability. Bigtable is a good choice for storing IoT data because it can handle the high volume of data generated by IoT devices and provide low latency for real-time analysis. Looker is a business intelligence and data analytics platform that can be used to visualize and analyze data stored in Bigtable. Looker provides a variety of features that can be used to design inspection routines, device repair, and replacement schedules based on insights gathered from the data produced by IoT devices. Looker supports hosting on public clouds like AWS and GCP, and in multi-cloud and hybrid environments.

"Multi-cloud" is the key that rules out everything except C.

Every thing in this question points to D except for one scenario "multi-cloud". So just becuase multi cloud is specified, I choose 'C'

for everyone saying managed solution is the key, MongoDb is also a managed solution

Bigtable for IOT stuff

C. Supports Multi-cloud strategy and managed solution. This makes MongoDB Atlas the only option.