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Exam Professional Cloud Developer topic 1 question 166 discussion

Actual exam question from Google's Professional Cloud Developer
Question #: 166
Topic #: 1
[All Professional Cloud Developer Questions]

One of your deployed applications in Google Kubernetes Engine (GKE) is having intermittent performance issues. Your team uses a third-party logging solution. You want to install this solution on each node in your GKE cluster so you can view the logs. What should you do?

  • A. Deploy the third-party solution as a DaemonSet
  • B. Modify your container image to include the monitoring software
  • C. Use SSH to connect to the GKE node, and install the software manually
  • D. Deploy the third-party solution using Terraform and deploy the logging Pod as a Kubernetes Deployment
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️
by zellck at Dec. 15, 2022, 2:08 p.m.

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hongminhcbg
2 months ago
Selected Answer: A
A is correct
upvoted 1 times
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__rajan__
8 months, 4 weeks ago
Selected Answer: A
DaemonSet is correct choice here.
upvoted 1 times
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purushi
10 months, 2 weeks ago
Selected Answer: A
A is best suitable than D here. D is complicated with Terraform and so on. Another solution would be to deploy the third party logging solution as a sidecar container with the main application.
upvoted 1 times
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telp
1 year, 5 months ago
Selected Answer: A
A is the answer, it's the use of daemonSet to ensures that a specific Pod is always running on all or some subset of the nodes
upvoted 1 times
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TNT87
1 year, 5 months ago
https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/ Answer A
upvoted 1 times
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zellck
1 year, 6 months ago
Selected Answer: A
A is the answer. https://cloud.google.com/kubernetes-engine/docs/concepts/daemonset#usage_patterns DaemonSets are useful for deploying ongoing background tasks that you need to run on all or certain nodes, and which do not require user intervention. Examples of such tasks include storage daemons like ceph, log collection daemons like fluent-bit, and node monitoring daemons like collectd.
upvoted 2 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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