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Google Exam Associate Cloud Engineer Topic 4 Question 83 Discussion

Actual exam question for Google's Associate Cloud Engineer exam
Question #: 83
Topic #: 4
[All Associate Cloud Engineer Questions]

For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?

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Suggested Answer: D

Instance groups are collections of virtual machine (VM) instances that you can manage as a single entity. Instance groups can help you simplify the management of multiple instances, reduce operational costs, and improve the availability and performance of your applications. Instance groups support autoscaling, which automatically adds or removes instances from the group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower. You can set the autoscaling policy based on CPU utilization, load balancing capacity, Cloud Monitoring metrics, or a queue-based workload. In this case, since the video encoding software is CPU-intensive, setting the autoscaling based on CPU utilization is the best option to ensure high availability and optimal performance.Reference:

Instance groups

Autoscaling groups of instances


Contribute your Thoughts:

Aide
1 months ago
I'd go with Option B, it's like a three-course meal of cloud services - Pub/Sub, Cloud Functions, and BigQuery. Yum, yum! Just hope the chef doesn't overcook the logs.
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Ashley
9 days ago
User 2: Yeah, it's like a full meal with Pub/Sub, Cloud Functions, and BigQuery.
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Letha
12 days ago
User 1: Option B sounds like a feast of cloud services!
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Pauline
1 months ago
Option A seems like the easiest solution, but I'm not sure it's the most cost-effective. Granting permissions and updating instance metadata sounds simple enough, but I wonder if there might be some hidden gotchas.
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Avery
1 months ago
Hmm, Option D sounds pretty interesting. Automating the BigQuery job with a Cloud Function and Cloud Scheduler could be a clever way to handle this. Though, I'm a bit concerned about the potential for extra costs with all the moving parts.
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Michel
1 months ago
I'm leaning towards Option C. It's a bit more straightforward, and I like the ability to create a filter to only export the Compute Engine logs. Plus, BigQuery integration is built-in, so it's a simple one-stop solution.
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Raylene
2 months ago
Option B looks like the most efficient solution to me. Using Cloud Pub/Sub and a Cloud Function to filter and insert the logs directly into BigQuery seems like a great way to automate the process and minimize costs.
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Nana
8 days ago
I think Option B is the way to go. It streamlines the process and ensures that only the necessary logs are stored in the platform-logs dataset.
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Lennie
13 days ago
I think so too. It's a streamlined approach that ensures only relevant logs are sent to BigQuery.
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Francesco
23 days ago
Yes, it definitely seems like the best way to automate the process and keep costs down.
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Nichelle
24 days ago
Yeah, Option B is definitely the most efficient. It saves time and resources by only sending relevant Compute Engine logs to BigQuery.
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Thora
1 months ago
I agree, option B seems like the most efficient solution. Using Cloud Pub/Sub and a Cloud Function to filter and insert logs into BigQuery is a smart move.
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Zoila
1 months ago
I agree, Option B seems like the best choice. It automates the process and filters out unnecessary logs before inserting them into BigQuery.
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Ashton
2 months ago
Hmm, that's a good point. I see the benefits of option D now. Thanks for sharing your perspective, Fletcher.
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Fletcher
2 months ago
I disagree, I believe option D is more cost-effective in the long run. It automates the process efficiently.
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Ashton
3 months ago
I think option A is the best choice. It seems like the most straightforward solution.
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