Discuss Google Professional Cloud Architect (PR000213) Exam Topic 1 Question 122

One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.

Which two actions should you take? Choose 2 answers.

ARemove Python after running pip.

BRemove dependencies from requirements.txt.

CUse a slimmed-down base image like Alpine linux.

DUse larger machine types for your Google Container Engine node pools.

ECopy the source after the package dependencies (Python and pip) are installed.

Suggested Answer: C, E

The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.

Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.

https://www.alpinelinux.org/about/

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17 comments · newest first

Rickie 1 month ago

I’d avoid removing dependencies from requirements.txt; that could cause issues.

Donte 1 month ago

Definitely! A smaller base image and proper layering can make a huge difference.

Nydia 1 month ago

Yes, optimizing the Dockerfile is more effective than just scaling up.

Martina 2 months ago

I feel like larger machine types won't solve the deployment speed issue.

Aleisha 2 months ago

Copying the source after installing dependencies is key for faster builds.

Johnetta 2 months ago

Removing Python after pip seems unnecessary. It could break things.

Oren 2 months ago

Agreed! It reduces the image size significantly.

Dalene 2 months ago

I think using a slimmed-down base image like Alpine is a smart move.

Candida 2 months ago

Larger machine types? Seems like overkill for just speed.

Wilson 3 months ago

E makes sense, it can speed up the build process!

Louvenia 3 months ago

I’m not sure about B, removing dependencies could break things.

Eugene 3 months ago

A is a good idea too, less bloat after install.

Delmy 3 months ago

Definitely go with C, Alpine is way lighter!

Chanel 3 months ago

I practiced a similar question, and I think using larger machine types might not really solve the deployment time issue, so I would avoid option D.

Emilio 4 months ago

I feel like copying the source after installing dependencies is a common practice to optimize builds. So maybe option E is also a good pick.

Tamala 4 months ago

I'm not entirely sure, but I think removing Python after running pip might help reduce the image size. That could be option A?

Marsha 4 months ago

I remember that using a slimmed-down base image can really help with deployment times, so I think option C is a good choice.

Google Professional Cloud Architect (PR000213) Exam - Topic 1 Question 122 Discussion