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Google Associate Cloud Engineer Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
You want to configure 10 Compute Engine instances for availability when maintenance occurs. Your requirements state that these instances should attempt to automatically restart if they crash. Also, the instances should be highly available including during system maintenance. What should you do?

A. Create an instance group for the instance. Verify that the 'Advanced creation options' setting for 'do not retry machine creation' is set to off.
B. Create an instance group for the instances. Set the 'Autohealing' health check to healthy (HTTP).
C. Create an instance template for the instances. Set the 'Automatic Restart' to on. Set the 'On-host maintenance' to Migrate VM instance. Add the instance template to an instance group.
D. Create an instance template for the instances. Set 'Automatic Restart' to off. Set 'On-host maintenance' to Terminate VM instances. Add the instance template to an instance group.

Answer: D

NEW QUESTION # 13
You need to deploy an application in Google Cloud using savorless technology. You want to test a new version of the application with a small percentage of production traffic. What should you do?

A. Deploy the application to App Engine. For each new version, create a new service.
B. Deploy the application lo Google Kubemetes Engine. Use Anthos Service Mesh for traffic splitting.
C. Deploy the application lo Cloud. Run. Use gradual rollouts for traffic spelling.
D. Deploy the application to Cloud functions. Saucily the version number in the functions name.

Answer: C

NEW QUESTION # 14
You have created a code snippet that should be triggered whenever a new file is uploaded to a Cloud Storage bucket. You want to deploy this code snippet. What should you do?

A. Use App Engine and configure Cloud Scheduler to trigger the application using Pub/Sub.
B. Use Dataflow as a batch job, and configure the bucket as a data source.
C. Use Cloud Functions and configure the bucket as a trigger resource.
D. Use Google Kubernetes Engine and configure a CronJob to trigger the application using Pub/Sub.

Answer: C

Explanation:
Google Cloud Storage Triggers
Cloud Functions can respond to change notifications emerging from Google Cloud Storage.
These notifications can be configured to trigger in response to various events inside a bucket- object creation, deletion, archiving and metadata updates.
Note: Cloud Functions can only be triggered by Cloud Storage buckets in the same Google Cloud Platform project.
Event types
Cloud Storage events used by Cloud Functions are based on Cloud Pub/Sub Notifications for Google Cloud Storage and can be configured in a similar way.
Supported trigger type values are:
google.storage.object.finalize
google.storage.object.delete
google.storage.object.archive
google.storage.object.metadataUpdate
Object Finalize
Trigger type value: google.storage.object.finalize
This event is sent when a new object is created (or an existing object is overwritten, and a new generation of that object is created) in the bucket.
https://cloud.google.com/functions/docs/calling/storage#event_types

NEW QUESTION # 15
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 Python and the cloud SDKs from all providers to provision the resources.
B. Build the solution by using Config Connector, and provision the resources.
C. Build the solution by using YAML manifests, and provision the resources.
D. Build the solution by using Terraform, and provision the resources.

Answer: D

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 # 16
You need to assign a Cloud Identity and Access Management (Cloud IAM) role to an external auditor. The auditor needs to have permissions to review your Google Cloud Platform (GCP) Audit Logs and also to review your Data Access logs. What should you do?

A. Assign the auditor the IAM role roles/logging.privateLogViewer. Perform the export of logs to Cloud Storage.
B. Assign the auditor's IAM user to a custom role that has logging.privateLogEntries.listpermission.
Direct the auditor to also review the logs for changes to Cloud IAM policy.
C. Assign the auditor the IAM role roles/logging.privateLogViewer. Direct the auditor to also review the logs for changes to Cloud IAM policy.
D. Assign the auditor's IAM user to a custom role that has logging.privateLogEntries.listpermission.
Perform the export of logs to Cloud Storage.

Answer: C

Explanation:
Google Cloud provides Cloud Audit Logs, which is an integral part of Cloud Logging. It consists of two log streams for each project: Admin Activity and Data Access, which are generated by Google Cloud services to help you answer the question of who did what, where, and when? within your Google Cloud projects.
Ref: https://cloud.google.com/iam/docs/job-functions/auditing#scenario_external_auditors

NEW QUESTION # 17
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