Expert Answers to Google Exam Associate-Cloud-Engineer Questions

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Google Cloud Certified Google Cloud Certified - Associate Cloud Engineer

Google Cloud Certified - Associate Cloud Engineer

Last Update Jul 9, 2026
Total Questions : 363

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Questions 2

Your company ' s machine learning team requires a scalable and flexible platform to fine-tune large language models utilizing a large volume of proprietary data on Google Cloud. You are tasked with building a solution for this team. What should you do?

Options:

Use Dataflow as a platform to run the fine-tuning jobs.

Use a Compute Engine managed instance group as a platform to deploy Jupyter Notebooks and run fine-tuning jobs.

Use Google Kubernetes Engine (GKE) and hardware accelerators as a platform to run the fine-tuning jobs.

Use Cloud Run and GPU as a platform to run the fine-tuning jobs.

Discussion 0

Questions 3

Your company uses Google Kubernetes Engine (GKE) for all application deployments. Your team needs to provision and manage other Google Cloud resources using the same declarative approach and tooling as your application deployments. What should you do?

Options:

Use the Google Cloud console to provision and manage Google Cloud resources.

Write shell scripts using gcloud commands to provision and manage Google Cloud resources.

Create Terraform configurations for your Google Cloud resources, and store the state file in a Cloud Storage bucket.

Install Config Connector in a GKE cluster, and define your Google Cloud resources as custom resources in Kubernetes manifests.

Discussion 0

Questions 4

You have an application that reads data from a Pub/Sub topic. During local development, you authenticated using your personal credentials to test the application. You now want to deploy the application to Vertex AI and have created a new service account to be used as the application ' s identity. You need to ensure that the deployed application can still access the Pub/Sub topic. What should you do?

Options:

Extract your access token by using the gcloud auth print-access-token command, and store it with the application.

Grant the relevant IAM roles to the service account used as your agent identity.

Create a secret in Secret Manager to store your personal credentials, and configure the application ' s authentication code to use this secret.

Generate a JSON private key for the service account, and upload the key as Vertex AI metadata.

Discussion 0

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Questions 5

(You are deploying a web application using Compute Engine. You created a managed instance group (MIG) to host the application. You want to follow Google-recommended practices to implement a secure and highly available solution. What should you do?)

Options:

Use a proxy Network Load Balancer for the MIG and an A record in your DNS private zone with the load balancer ' s IP address.

Use a proxy Network Load Balancer for the MIG and a CNAME record in your DNS public zone with the load balancer ' s IP address.

Use an Application Load Balancer for the MIG and a CNAME record in your DNS private zone with the load balancer ' s IP address.

Use an Application Load Balancer for the MIG and an A record in your DNS public zone with the load balancer ' s IP address.

Discussion 0

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