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Exam Professional Cloud Architect topic 1 question 67 discussion

Actual exam question from Google's Professional Cloud Architect

Question #: 67
Topic #: 1

[All Professional Cloud Architect Questions]

You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also want to reliably deploy new versions of the application. Which set of steps should you take?

A. Perform the following: 1. Create a managed instance group with f1-micro type machines. 2. Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app. 3. Restart the instances to automatically deploy new production releases.
B. Perform the following: 1. Create a managed instance group with n1-standard-1 type machines. 2. Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app. 3. Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
C. Perform the following: 1. Create a Google Kubernetes Engine (GKE) cluster with n1-standard-1 type machines. 2. Build a Docker image from the production branch with all of the dependencies, and tag it with the version number. 3. Create a Kubernetes Deployment with the imagePullPolicy set to 'IfNotPresent' in the staging namespace, and then promote it to the production namespace after testing.
D. Perform the following: 1. Create a GKE cluster with n1-standard-4 type machines. 2. Build a Docker image from the master branch with all of the dependencies, and tag it with 'latest'. 3. Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to 'Always'. Restart the pods to automatically deploy new production releases.

Show Suggested Answer

Suggested Answer: C 🗳️

by jcmoranp at Oct. 21, 2019, 3:41 p.m.

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jcmoranp

Highly Voted 5 years, 7 months ago

C is correct, need "ifnotpresent"when uploads to container registry

upvoted 41 times

medi01

2 years, 1 month ago

ifnotpresent won't pull new version.

upvoted 4 times

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heretolearnazure

1 year, 9 months ago

yes i agree

upvoted 1 times

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TosO

Highly Voted 5 years, 6 months ago

C is the best choice. You can create a k8s cluster with just one node and use a different namespaces for staging and production. In staging, you will test the changes

upvoted 24 times

AzureDP900

2 years, 8 months ago

Agreed

upvoted 1 times

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rajrocks171

Most Recent 3 weeks, 3 days ago

Selected Answer: C

C is correct. Efficient resource usage, GKE schedules multiple pods per node maximizing CPU and Memory utilization. Ideal for small app like in question. GKE provides Reliable deployment with rolling updates, health checks and rollbacks. C also supports safe promotion from staging to prod, version control and automation. Why not A, B, D A - Uses f1-micro instances, which are shared-core, less stable under load, and uses startup scripts which are brittle and hard to manage for versioning. B-

upvoted 2 times

rajrocks171

3 weeks, 3 days ago

B- Requires building and deploying new VM images each time — slow and less flexible for frequent deployments. D - Uses latest tag and imagePullPolicy: Always — this can lead to unpredictable deployments and caching issues. No staging step adds risk.

upvoted 2 times

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lokiinaction

3 weeks, 5 days ago

Selected Answer: A

f1-micro fits better for this tiny webapplication

upvoted 1 times

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Gayathri1608

6 months, 3 weeks ago

Selected Answer: C

i think suitable for the given scenario

upvoted 2 times

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nareshthumma

7 months, 3 weeks ago

Answer is C

upvoted 2 times

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44fa527

9 months, 3 weeks ago

Selected Answer: C

should be option C because if you are working in real world, GKE is the best solution for such a case. Furthermore, its reliable, scalable, flexible, at least the best option among the other three.

upvoted 2 times

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cai_engineer

9 months, 4 weeks ago

Selected Answer: A

Ngl it's A. Don't use GKE, it won't schedule the deployment as most of the resources already occupied by kube-system

upvoted 1 times

cai_engineer

9 months, 4 weeks ago

Also you can deploy COS Containerd in a VM

upvoted 1 times

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awsgcparch

10 months, 3 weeks ago

Selected Answer: D

imagePullPolicy: Always ensures that the latest version of the image is always pulled, which guarantees that the most recent code is deployed. Restarting pods ensures that the new version is deployed without requiring manual intervention.

upvoted 1 times

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krokskan

1 year, 3 months ago

Selected Answer: B

B because Kubernetes will be overkill and A is not reliable

upvoted 1 times

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Gall

1 year, 4 months ago

Selected Answer: C

A is wrong as after the restart the script will be rerun and fetch the code directly from the repo (even if production). The load of the massive number of dependencies will take a lot of timee, and the application version will be fuzzy.

upvoted 2 times

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moumou

1 year, 4 months ago

C is correct, B (instance template cannote be updated once created.

upvoted 2 times

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kip21

1 year, 5 months ago

C - Correct

upvoted 1 times

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AWS_Sam

1 year, 5 months ago

The correct answer is C. Because it is the only option that RELIABLY tests the app in staging before it is applied to production. Remember that one of the requirements in the question is to reliably deploy the app.

upvoted 3 times

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Roro_Brother

1 year, 6 months ago

Selected Answer: A

You don't need GKE for 0.1 CPU, only A meet hte needs

upvoted 3 times

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MahAli

1 year, 6 months ago

Selected Answer: A

For 0.1 CPU I will never use GKE, considering the associated cost with control plane and not even one option in the question mentioning micro instances for the node pool

upvoted 5 times

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mastrrrr

1 year, 6 months ago

Selected Answer: A

When we read the question - "0.1 CPU cores and 128 MB of memory" to operate in production. You want to monitor and "maximize machine utilization"... Answer A should be a fit based on the question details. Would GKE for tiny application be overkill?

upvoted 4 times

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