Free Access Google.Associate-Cloud-Engineer.v2022-07-24.q230 Practice Test (Page 19)

Question 86

You want to deploy an application on Cloud Run that processes messages from a Cloud Pub/Sub topic. You want to follow Google-recommended practices. What should you do?

A.1. Deploy your application on Cloud Run on GKE with the connectivity set to Internal.
2. Create a Cloud Pub/Sub subscription for that topic.
3. In the same Google Kubernetes Engine cluster as your application, deploy a container that takes the messages and sends them to your application.

B.1. Grant the Pub/Sub Subscriber role to the service account used by Cloud Run.
2. Create a Cloud Pub/Sub subscription for that topic.
3. Make your application pull messages from that subscription.

C.1. Create a service account.
2. Give the Cloud Run Invoker role to that service account for your Cloud Run application.
3. Create a Cloud Pub/Sub subscription that uses that service account and uses your Cloud Run application as the push endpoint.

D.1. Create a Cloud Function that uses a Cloud Pub/Sub trigger on that topic.
2. Call your application on Cloud Run from the Cloud Function for every message.

Question 87

For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?

A.1. Give the BigQuery Data Editor role on the platform-logsdataset to the service accounts used by your instances.
2. Update your instances' metadata to add the following value: logs-destination:
bq://platform-logs.

B.1. In Stackdriver Logging, create a filter to view only Compute Engine logs.
2. Click Create Export.
3. Choose BigQuery as Sink Service, and the platform-logsdataset as Sink Destination.

C.1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logsas a sink.
2. Create a Cloud Function that is triggered by messages in the logstopic.
3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logsdataset.

D.1. Create a Cloud Function that has the BigQuery User role on the platform-logsdataset.
2. Configure this Cloud Function to create a BigQuery Job that executes this query:
INSERT INTO dataset.platform-logs (timestamp, log)
SELECT timestamp, log FROM compute.logs
WHERE timestamp > DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)
3. Use Cloud Scheduler to trigger this Cloud Function once a day.

Question 88

Your company set up a complex organizational structure on Google Cloud. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure. You need to assign minimum permissions to these team members, and you want to follow Google-recommended practices.
What should you do?

A.Add the users to roles/iam.roleViewer role.

B.Add the users to a group, and add this group to roles/browser.

C.Add the users to a group, and add this group to roles/iam.roleViewer role.

D.Add the users to roles/browser role.

Question 89

You have a Linux VM that must connect to Cloud SQL. You created a service account with the appropriate access rights. You want to make sure that the VM uses this service account instead of the default Compute Engine service account. What should you do?

A.When creating the VM via the web console, specify the service account under the 'Identity and API Access' section.

B.Download a JSON Private Key for the service account. On the Project Metadata, add that JSON as the value for the key compute-engine-service-account.

C.Download a JSON Private Key for the service account. On the Custom Metadata of the VM, add that JSON as the value for the key compute-engine-service-account.

D.Download a JSON Private Key for the service account. After creating the VM, ssh into the VM and save the JSON under ~/.gcloud/compute-engine-service-account.json.

Question 90

You have a single binary application that you want to run on Google Cloud Platform. You decided to automatically scale the application based on underlying infrastructure CPU usage. Your organizational policies require you to use virtual machines directly. You need to ensure that the application scaling is operationally efficient and completed as quickly as possible. What should you do?

A.Create a Google Kubernetes Engine cluster, and use horizontal pod autoscaling to scale the application.

B.Create an instance template, and use the template in a managed instance group with autoscaling configured.

C.Create an instance template, and use the template in a managed instance group that scales up and down based on the time of day.

D.Use a set of third-party tools to build automation around scaling the application up and down, based on Stackdriver CPU usage monitoring.

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Question 86

Question 87

Question 88

Question 89

Question 90

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