A data science team needs to run a GPU-accelerated training job on Compute Engine. They have a project with a quota of 1 GPU per region. They need to create an instance with 4 GPUs. What is the most likely reason they cannot create the instance, and what should they do?

The VPC does not have enough IP addresses; they should create a new VPC.

The project's GPU quota is insufficient; they should request a quota increase.

The instance type does not support 4 GPUs; they should choose a different machine type.

The GPU type is not available in the chosen zone; they should choose a different zone.

In Cloud Run, what is the purpose of traffic splitting?

To distribute traffic between different services

To route traffic based on user location

To gradually roll out a new revision while monitoring for errors

To balance load across multiple regions

A team has a Deployment in GKE where Pods are frequently OOMKilled because the CPU and memory requests are set too low. They want Kubernetes to automatically adjust the resource requests and limits based on actual usage. What should they configure?

A ResourceQuota in the namespace.

A VerticalPodAutoscaler in Auto mode for the Deployment.

A HorizontalPodAutoscaler with a memory target.

A LimitRange with default requests.

What is the primary purpose of Cloud Workstations?

To provide managed, secure development environments

Google CloudAssociate Cloud Engineer

Domain 3Objective 1

3.1 Managing Compute Resources ASSOCIATE-CLOUD-ENGINEER Practice Questions (Page 2)

Part of the Ensuring the successful operation of a cloud solution domain, which accounts for ~30% of the ASSOCIATE-CLOUD-ENGINEER exam.

52questions here

11free pages

22concepts

~30%of the exam

22 Concepts in This Objective

Remote Connection to Compute Engine
Listing Compute Engine Instances
Creating and Managing Snapshots
Creating and Managing Images
Viewing GKE Cluster Inventory
Configuring GKE for Artifact Registry
Managing GKE Node Pools
Working with Kubernetes Resources
Configuring Horizontal Pod Autoscaling
Configuring Vertical Pod Autoscaling
Managing GKE Autopilot Pod Resource Requests
Deploying Cloud Run Revisions
Traffic Splitting in Cloud Run
Traffic Splitting in Cloud Run Functions
Traffic Splitting in GKE
Configuring Cloud Run Autoscaling
Attaching GPUs to Compute Resources
Attaching TPUs to Compute Resources
Deploying Agents to Agent Runtime
Managing Notebooks in Workbench
Managing Notebooks in BigQuery
Managing Cloud Workstations

Questions 6–10

6foundation · easy
Which mode of VerticalPodAutoscaler automatically applies the recommended resource changes to Pods?
Select an answer first
7application · medium
A data science team needs to run a GPU-accelerated training job on Compute Engine. They have a project with a quota of 1 GPU per region. They need to create an instance with 4 GPUs. What is the most likely reason they cannot create the instance, and what should they do?
Select an answer first
8foundation · easy
In Cloud Run, what is the purpose of traffic splitting?
Select an answer first
9application · easy
A team has a Deployment in GKE where Pods are frequently OOMKilled because the CPU and memory requests are set too low. They want Kubernetes to automatically adjust the resource requests and limits based on actual usage. What should they configure?
Select an answer first
10foundation · easy
What is the primary purpose of Cloud Workstations?
Select an answer first

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