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Google Associate Cloud Engineer Exam - Topic 9 Question 41 Discussion

The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors. You expect high throughput -- up to thousands of events per hour per device -- and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?
D) Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.
A) Create a file in Cloud Storage per device and append new data to that file.
B) Create a file in Cloud Filestore per device and append new data to that file.
C) Ingest the data into Datastore. Store data in an entity group based on the device.

Google Associate Cloud Engineer Exam - Topic 9 Question 41 Discussion

Actual exam question for Google's Associate Cloud Engineer exam
Question #: 41
Topic #: 9
[All Associate Cloud Engineer Questions]

The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors. You expect high throughput -- up to thousands of events per hour per device -- and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

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Suggested Answer: D

by Jade at May 09, 2022, 05:25 PM

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Devorah
10 months ago
Cloud Storage might be too slow for thousands of events per hour.
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Alba
10 months ago
Wait, are we really going to append data to files? That sounds risky!
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Chauncey
11 months ago
Not so sure about that, isn't Datastore better for consistency?
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Vivan
11 months ago
Definitely agree, it handles time-series data really well!
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Reena
11 months ago
I think Cloud Bigtable is the best option for high throughput.
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Jamal
11 months ago
I think Datastore could work for consistency, but I'm not sure if it can handle the volume we're expecting.
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Blossom
11 months ago
I feel like using Cloud Storage for appending data might not handle the high event rates well, but I can't quite remember why.
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Willie
11 months ago
I think we practiced a similar question about high throughput data ingestion, and I recall that Cloud Bigtable was mentioned as a good choice for that.
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Paris
11 months ago
I remember we discussed the importance of atomicity in data storage, but I'm not sure which option best ensures that.
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Youlanda
11 months ago
This question seems straightforward, I think I can identify the three key benefits of multitenant architecture for database consolidation.
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Fannie
11 months ago
Hmm, I'm a bit confused by the different DNS zones and virtual network link. I'll need to make sure I understand the relationship between them.
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Eladia
11 months ago
Hmm, I'm not sure about this one. Enforcing locks across environments could be tricky. Maybe an Azure Resource Manager template would be a better way to ensure the locks are applied consistently?
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