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Google Associate-Cloud-Engineer Certification Exam is a valuable certification for IT professionals who want to demonstrate their knowledge and skills in managing cloud services. Associate-Cloud-Engineer exam is designed to validate the ability of candidates to deploy, monitor, and maintain applications on Google Cloud Platform. With this certification, you can enhance your career prospects and demonstrate your proficiency in cloud computing.

To prepare for the Google Associate-Cloud-Engineer Certification Exam, candidates should have a good understanding of cloud computing concepts and principles, as well as experience working with GCP technologies. Associate-Cloud-Engineer Exam covers a variety of topics, including deploying and managing applications, configuring Google Cloud Platform services, and monitoring and troubleshooting GCP solutions. It also assesses your ability to use GCP tools such as Cloud SDK, Cloud Shell, and Cloud Console.

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Google Associate Cloud Engineer Exam Sample Questions (Q285-Q290):

NEW QUESTION # 285
Your management has asked an external auditor to review all the resources in a specific project.
The security team has enabled the Organization Policy called Domain Restricted Sharing on the organization node by specifying only your Cloud Identity domain. You want the auditor to only be able to view, but not modify, the resources in that project. What should you do?

A. Create a temporary account for the auditor in Cloud Identity, and give that account the Viewer role on the project.
B. Create a temporary account for the auditor in Cloud Identity, and give that account the Security Reviewer role on the project.
C. Ask the auditor for their Google account, and give them the Security Reviewer role on the project.
D. Ask the auditor for their Google account, and give them the Viewer role on the project.

Answer: A

Explanation:
https://cloud.google.com/iam/docs/roles-audit-logging#scenario_external_auditors

NEW QUESTION # 286
The storage costs for your application logs have far exceeded the project budget. The logs are currently being retained indefinitely in the Cloud Storage bucket myapp-gcp-ace-logs. You have been asked to remove logs older than 90 days from your Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend.
What should you do?

A. Write a lifecycle management rule in JSON and push it to the bucket with gsutil lifecycle set config-json-file.
B. Write a script that runs gsutil Is -Ir gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Repeat this process every morning.
C. Write a script that runs gsutil Is -| - gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Schedule the script with cron.
D. Write a lifecycle management rule in XML and push it to the bucket with gsutil lifecycle set config-xml-file.

Answer: A

Explanation:
You write a lifecycle management rule in XML and push it to the bucket with gsutil lifecycle set config-xml-file. is not right.
gsutil lifecycle set enables you to set the lifecycle configuration on one or more buckets based on the configuration file provided. However, XML is not a valid supported type for the configuration file.
Ref: https://cloud.google.com/storage/docs/gsutil/commands/lifecycle
* Write a script that runs gsutil ls -lr gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Repeat this process every morning. is not right.
This manual approach is error-prone, time-consuming and expensive. GCP Cloud Storage provides lifecycle management rules that let you achieve this with minimal effort.
* Write a script that runs gsutil ls -l gs://myapp-gcp-ace-logs/** to find and remove items older than 90 days. Schedule the script with cron. is not right.
This manual approach is error-prone, time-consuming and expensive. GCP Cloud Storage provides lifecycle management rules that let you achieve this with minimal effort.
* Write a lifecycle management rule in JSON and push it to the bucket with gsutil lifecycle set config-json-file. is the right answer.
You can assign a lifecycle management configuration to a bucket. The configuration contains a set of rules which apply to current and future objects in the bucket. When an object meets the criteria of one of the rules, Cloud Storage automatically performs a specified action on the object. One of the supported actions is to Delete objects. You can set up a lifecycle management to delete objects older than 90 days. gsutil lifecycle set enables you to set the lifecycle configuration on the bucket based on the configuration file. JSON is the only supported type for the configuration file. The config-json-file specified on the command line should be a path to a local file containing the lifecycle configuration JSON document.
Ref: https://cloud.google.com/storage/docs/gsutil/commands/lifecycle
Ref: https://cloud.google.com/storage/docs/lifecycle

NEW QUESTION # 287
Your organization has decided to deploy all its compute workloads to Kubernetes on Google Cloud and two other cloud providers. You want to build an infrastructure-as-code solution to automate the provisioning process for all cloud resources. What should you do?

A. Build the solution by using Config Connector, and provision the resources.
B. Build the solution by using YAML manifests, and provision the resources.
C. Build the solution by using Terraform, and provision the resources.
D. Build the solution by using Python and the cloud SDKs from all providers to provision the resources.

Answer: C

Explanation:
The requirement is for an infrastructure-as-code (IaC) solution that can manage Kubernetes resources and other cloud resources across multiple cloud providers (Google Cloud and two others).
Option A (YAML manifests): YAML manifests are primarily used for defining Kubernetes objects, not for provisioning general cloud resources (like VPCs, IAM policies, databases) across different cloud providers.
Option C (Python + SDKs): While possible, writing custom scripts using each provider's SDK requires significant development effort to handle state management, dependencies, and provider differences. It essentially reinvents much of what dedicated IaC tools provide and is not a standard IaC approach.
Option D (Config Connector): Config Connector allows managing Google Cloud resources using Kubernetes- style manifests and APIs. It is specific to Google Cloud and cannot manage resources in other cloud providers.
Option B (Terraform): Terraform is an open-source IaC tool explicitly designed for building, changing, and versioning infrastructure safely and efficiently across multiple cloud providers and on-premises data centers.
It uses providers for different platforms (GCP, AWS, Azure, Kubernetes, etc.), allowing a unified workflow to manage diverse resources across the required environments (Google Cloud, other clouds, Kubernetes).
Terraform is the standard tool for multi-cloud IaC automation as described in the scenario.
References:
Terraform on Google Cloud: "Terraform is an open source infrastructure as code (IaC) tool... Terraform lets you manage Google Cloud resources with declarative configuration files..." - https://cloud.google.com/docs
/terraform
Terraform Providers (General): Terraform supports numerous providers for various cloud platforms and services. - https://registry.terraform.io/browse/providers Config Connector Overview: "Config Connector is a Kubernetes addon that allows you to manage Google Cloud resources through Kubernetes." (Google Cloud specific) - https://cloud.google.com/config-connector
/docs/overview

NEW QUESTION # 288
You created a Kubernetes deployment by running kubectl run nginx image=nginx labels=app=prod. Your Kubernetes cluster is also used by a number of other deployments. How can you find the identifier of the pods for this nginx deployment?

A. kubectl get deployments -output=pods
B. kubectl get pods -I "app=prod"
C. gcloud get pods -selector="app=prod"
D. gcloud list gke-deployments -filter={pod }

Answer: B

Explanation:
This command correctly lists pods that have the label app=prod. When creating the deployment, we used the label app=prod so listing pods that have this label retrieve the pods belonging to nginx deployments. You can list pods by using Kubernetes CLI kubectl get pods.
Ref: https://kubernetes.io/docs/tasks/access-application-cluster/list-all-running-container-images/ Ref: https://kubernetes.io/docs/tasks/access-application-cluster/list-all-running-container-images/#list-containers

NEW QUESTION # 289
You need to manage a third-party application that will run on a Compute Engine instance. Other Compute Engine instances are already running with default configuration. Application installation files are hosted on Cloud Storage. You need to access these files from the new instance without allowing other virtual machines (VMs) to access these files. What should you do?

A. Create a new service account and assign this service account to the new instance.
Grant the service account permissions on Cloud Storage.
B. Create the instance with the default Compute Engine service account.
Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
C. Create a new service account and assign this service account to the new instance.
Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
D. Create the instance with the default Compute Engine service account.
Grant the service account permissions on Cloud Storage.

Answer: A

NEW QUESTION # 290
......

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