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Google Associate-Cloud-Engineer Questions PDF To Unlock Your Career [2025]

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The Google Associate-Cloud-Engineer Exam consists of multiple-choice questions and is designed to test the candidate's practical knowledge and understanding of the Google Cloud Platform. Associate-Cloud-Engineer exam is two hours long, and the candidate needs to score a minimum of 70% to pass. Associate-Cloud-Engineer exam fee is $125, and the certification is valid for two years.

Google Associate Cloud Engineer certification exam is an excellent way for individuals to gain a strong foundational knowledge and skills in cloud computing and to demonstrate their proficiency in operating and deploying applications, infrastructure, and services on the Google Cloud Platform.

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Google Associate Cloud Engineer Exam Sample Questions (Q234-Q239):

NEW QUESTION # 234
You are designing an application that uses WebSockets and HTTP sessions that are not distributed across the web servers. You want to ensure the application runs properly on Google Cloud Platform. What should you do?

A. Convert the WebSocket code to use HTTP streaming.
B. Redesign the application to use a distributed user session service that does not rely on WebSockets and HTTP sessions.
C. Review the encryption requirements for WebSocket connections with the security team.
D. Meet with the cloud enablement team to discuss load balancer options.

Answer: D

Explanation:
Google HTTP(S) Load Balancing has native support for the WebSocket protocol when you use HTTP or HTTPS, not HTTP/2, as the protocol to the backend.
Ref: https://cloud.google.com/load-balancing/docs/https#websocket_proxy_support So the next possible step is to Meet with the cloud enablement team to discuss load balancer options.
We dont need to convert WebSocket code to use HTTP streaming or Redesign the application, as WebSocket support is offered by Google HTTP(S) Load Balancing. Reviewing the encryption requirements is a good idea but it has nothing to do with WebSockets.

NEW QUESTION # 235
You are using Container Registry to centrally store your company's container images in a separate project. In another project, you want to create a Google Kubernetes Engine (GKE) cluster. You want to ensure that Kubernetes can download images from Container Registry. What should you do?

A. When you create the GKE cluster, choose the Allow full access to all Cloud APIs option under 'Access scopes'.
B. Create a service account, and give it access to Cloud Storage. Create a P12 key for this service account and use it as an imagePullSecrets in Kubernetes.
C. Configure the ACLs on each image in Cloud Storage to give read-only access to the default Compute Engine service account.
D. In the project where the images are stored, grant the Storage Object Viewer IAM role to the service account used by the Kubernetes nodes.

Answer: D

Explanation:
Configure the ACLs on each image in Cloud Storage to give read-only access to the default Compute Engine service account. is not right.
As mentioned above, Container Registry ignores permissions set on individual objects within the storage bucket so this isnt going to work.
Ref: https://cloud.google.com/container-registry/docs/access-control

NEW QUESTION # 236
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around
2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Compute Engine. Use VM instance types that support micro bursting.
B. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
C. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
D. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.

Answer: C

NEW QUESTION # 237
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem.
What should you do?

A. Use Cloud Debugger to find out why the data was not refreshed correctly
B. In Cloud Logging create a filter for your Data Studio report
C. Review the Error Reporting page in the Cloud Console to find any errors.
D. Use the BigQuery interface to review the nightly Job and look for any errors

Answer: D

Explanation:
Explanation
Cloud Debugger helps inspect the state of an application, at any code location, without stopping or slowing down the running app // https://cloud.google.com/debugger/docs

NEW QUESTION # 238
You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

A. Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.
B. Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.
C. Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.
D. Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.

Answer: A

Explanation:
Note: You can scale the number of nodes in your instance based on the Cloud Monitoring metrics on CPU or storage utilization in conjunction with Cloud Functions.
https://cloud.google.com/spanner/docs/instances

NEW QUESTION # 239
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Hal Shaw Hal Shaw

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