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Exam Professional Data Engineer topic 1 question 205 discussion

Actual exam question from Google's Professional Data Engineer
Question #: 205
Topic #: 1
[All Professional Data Engineer Questions]

You have a data processing application that runs on Google Kubernetes Engine (GKE). Containers need to be launched with their latest available configurations from a container registry. Your GKE nodes need to have GPUs, local SSDs, and 8 Gbps bandwidth. You want to efficiently provision the data processing infrastructure and manage the deployment process. What should you do?

  • A. Use Compute Engine startup scripts to pull container images, and use gcloud commands to provision the infrastructure.
  • B. Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.
  • C. Use GKE to autoscale containers, and use gcloud commands to provision the infrastructure.
  • D. Use Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by Atnafu at Nov. 30, 2022, 11:10 p.m.

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MaxNRG
Highly Voted 11 months, 1 week ago
Selected Answer: B
B is the best option to efficiently provision and manage the deployment process for this data processing application on GKE:
upvoted 5 times
MaxNRG
11 months, 1 week ago
• Cloud Build allows you to automate the building, testing, and deployment of your application using Docker containers. • Using Terraform with Cloud Build provides Infrastructure as Code capabilities to provision the GKE cluster with GPUs, SSDs, and network bandwidth. • Terraform can be configured to pull the latest container images from the registry when deploying. • Cloud Build triggers provide event-based automation to rebuild and redeploy when container images are updated. • This provides an automated CI/CD pipeline to launch the application on GKE using the desired infrastructure and latest images. • Dataflow and Cloud Scheduler don't directly provide infrastructure provisioning or deployment orchestration for GKE. • gcloud commands can be used but don't provide the same automation benefits as Cloud Build + Terraform.
upvoted 2 times
MaxNRG
11 months ago
So using Cloud Build with Terraform templates provides the most efficient way to provision and deploy this data processing application on GKE.
upvoted 2 times
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SamuelTsch
Most Recent 3 weeks, 4 days ago
Selected Answer: B
I would go to option B. That is from my point of view a CI/CD question. Only B covers the deployement and set up the latest container image.
upvoted 1 times
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anyone_99
4 months, 2 weeks ago
another wrong answer?
upvoted 2 times
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raaad
10 months, 3 weeks ago
Selected Answer: B
- Dataflow is a fully managed service for stream and batch data processing and is well-suited for real-time data processing tasks like identifying longtail and outlier data points. - Using BigQuery as a sink allows to efficiently store the cleansed and processed data for further analysis and serving it to AI models.
upvoted 2 times
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spicebits
1 year ago
Selected Answer: B
I don't really like B or C... but given the choices I would go with B. B-Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images. {The Terraform command is Terraform Apply and not Terraform build, but also why not use gcloud container command instead of introducing 3rd party builder image?)... I don't like this choice but it is the best one. C. Use GKE to autoscale containers, and use gcloud commands to provision the infrastructure. {This doesn't handle the building of the infra, or the deployment of the latest images, this one is clearly wrong, not sure why it is marked as the right choice}
upvoted 1 times
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vamgcp
1 year, 4 months ago
Selected Answer: B
B is correct
upvoted 2 times
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whorillo
1 year, 7 months ago
Selected Answer: B
B is correct
upvoted 1 times
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charline
1 year, 9 months ago
Selected Answer: B
b is ok
upvoted 1 times
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AzureDP900
1 year, 10 months ago
B. Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.
upvoted 1 times
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zellck
1 year, 11 months ago
Selected Answer: B
B is the answer.
upvoted 2 times
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hauhau
1 year, 11 months ago
Selected Answer: B
Maybe B ref: https://cloud.google.com/architecture/managing-infrastructure-as-code
upvoted 3 times
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Atnafu
1 year, 11 months ago
C is correct answer
upvoted 1 times
Atnafu
1 year, 11 months ago
Sorry I meant B
upvoted 3 times
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