In Cloud Run functions (2nd gen), how can an engineer manage traffic allocation between different versions of a function?

By updating the function's version alias

By using the gcloud functions deploy --traffic flag

By creating a new function and using a load balancer

By using the same traffic management as Cloud Run services, since 2nd gen functions are deployed on Cloud Run

In GKE Autopilot clusters, what is the default behavior for Pod resource requests if not specified?

The Pod fails to schedule until requests are specified.

The Pod is scheduled with requests equal to the node's capacity.

Autopilot assigns default requests based on the Pod's container image and workload type.

The Pod is scheduled with zero requests.

What is a common use case for notebooks in Workbench?

Developing and testing machine learning models

A web application deployed in GKE is experiencing increased traffic. The team wants to automatically scale the number of Pod replicas based on CPU utilization, with a minimum of 2 and a maximum of 10 replicas. What should they create?

A ClusterAutoscaler configuration on the node pool.

A HorizontalPodAutoscaler resource targeting the Deployment with CPU utilization of 70%.

A VerticalPodAutoscaler resource targeting the Deployment.

A PodDisruptionBudget with minAvailable set to 2.

Google CloudAssociate Cloud Engineer

Domain 3Objective 1

3.1 Managing Compute Resources ASSOCIATE-CLOUD-ENGINEER Practice Questions (Page 9)

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 41–45

41foundation · easy
An engineer wants to automatically adjust the CPU and memory requests of Pods based on their actual usage. Which Kubernetes resource should they use?
Select an answer first
42foundation · easy
In Cloud Run functions (2nd gen), how can an engineer manage traffic allocation between different versions of a function?
Select an answer first
43foundation · easy
In GKE Autopilot clusters, what is the default behavior for Pod resource requests if not specified?
Select an answer first
44foundation · easy
What is a common use case for notebooks in Workbench?
Select an answer first
45application · easy
A web application deployed in GKE is experiencing increased traffic. The team wants to automatically scale the number of Pod replicas based on CPU utilization, with a minimum of 2 and a maximum of 10 replicas. What should they create?
Select an answer first

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