Google ACE Ensuring Successful Operation of a Cloud Solution Practice Test 3 — 15 Questions

Question 1

Your GKE cluster is running a deployment with a container image my-app:v1. You need to update it to my-app:v2 and monitor the rollout progress. Which commands should you use?

Accepted Answer

kubectl set image deployment/my-app my-app=my-app:v2 followed by kubectl rollout status deployment/my-app. The correct approach uses `kubectl set image` to declaratively update the container image in the deployment, which triggers a rolling update, followed by `kubectl rollout status` to watch the rollout progress until completion. This is the standard Kubernetes-native workflow for image updates and monitoring.

Answer

gcloud compute instances update-container and kubectl get events

Answer

kubectl edit deployment/my-app and change the image, then kubectl rollout undo if needed

Answer

gcloud container clusters upgrade and kubectl get pods

Question 2

You need to export logs from Cloud Logging to a BigQuery dataset for long-term analysis. What should you create?

Accepted Answer

A log sink with BigQuery as the destination. To export logs from Cloud Logging to BigQuery, you create a log sink with BigQuery as the destination. Log sinks are the mechanism in Google Cloud for routing log entries to supported destinations, including BigQuery, Cloud Storage, and Pub/Sub. This allows for long-term storage and analysis.

Answer

An alerting policy with a log-based trigger

Answer

A log-based metric

Answer

An export job in BigQuery

Question 3

You are using Cloud Run and want to split traffic so that 10% of requests go to revision v2 and 90% go to revision v1. Which command should you use?

Accepted Answer

gcloud run services update-traffic --to-revisions v1=90,v2=10. The correct command to split traffic between Cloud Run revisions is `gcloud run services update-traffic` with the `--to-revisions` flag, specifying the revision names and percentages. This command updates the traffic allocation for a service. The syntax `--to-revisions v1=90,v2=10` correctly assigns 90% to v1 and 10% to v2.

Answer

gcloud run deploy --image my-image --traffic v1=90,v2=10

Answer

gcloud run services update --traffic v1=90,v2=10

Answer

gcloud run revisions update v2 --traffic 10

Question 4

You have a BigQuery table with billions of rows. You need to create a new table with the same schema and copy all data from the original table. Which approach is most efficient?

Accepted Answer

Use bq cp (copy) command.. The bq cp command performs a server-side copy of a table within BigQuery, duplicating both schema and data without exporting or re-importing. It is the fastest and most cost-effective method because no data leaves BigQuery's storage layer. This is the canonical approach for cloning large tables.

Answer

Use bq load with an empty file to create the table, then insert data row by row.

Answer

Export the original table to Cloud Storage as Avro, then load into the new table.

Answer

Use bq query --destination_table mydataset.newtable 'SELECT * FROM mydataset.original'

Question 5

Your application uses Pub/Sub to process orders. You notice that the subscription backlog is growing. Which tool should you use to analyze the latency of each step in the processing pipeline?

Accepted Answer

Cloud Trace. Cloud Trace is designed to analyze latency and performance of distributed applications, including Pub/Sub processing pipelines. It provides detailed trace data showing the time taken by each step, helping identify bottlenecks. Cloud Monitoring provides metrics but not per-step latency breakdown, while Cloud Profiler is for code-level profiling and Cloud Logging for log analysis.

Answer

Cloud Monitoring

Answer

Cloud Profiler

Answer

Cloud Logging

Question 6

You need to create a snapshot of a persistent disk attached to a running Compute Engine instance. The disk is used by a production database; you want minimal impact. What should you do?

Accepted Answer

Stop the instance, create the snapshot using gcloud compute disks snapshot, then restart the instance.. Creating a snapshot of a disk in use is possible, but for data consistency, it's recommended to stop the instance or at least freeze the filesystem. However, the question says 'minimal impact', so the best practice is to stop the instance. But the correct answer reflects that snapshots can be taken from attached disks, but for database consistency, stop is recommended. Let's choose the safer answer: stop the instance.

Answer

Detach the disk, create the snapshot, then reattach.

Answer

Create the snapshot while the instance is running; snapshots are always consistent.

Answer

Use gcloud compute disks snapshot without stopping; data will be consistent.

Question 7

You want to receive notifications when a specific metric exceeds a threshold. Which Cloud Monitoring resource defines the condition and the action?

Accepted Answer

Alerting policy. An alerting policy defines conditions (metric threshold) and notification channels.

Answer

Dashboard

Answer

Uptime check

Answer

Notification channel

Question 8

Your GKE cluster nodes are running low on resources. You need to enable node pool autoscaling so that the cluster automatically adds and removes nodes based on demand. The node pool is named 'default-pool'. Which command completes this task?

Accepted Answer

gcloud container node-pools update default-pool --enable-autoscaling --min-nodes 1 --max-nodes 10. gcloud container node-pools update with --enable-autoscaling enables autoscaling, and --min-nodes/--max-nodes set boundaries.

Answer

gcloud container node-pools update default-pool --autoscaling enabled

Answer

kubectl autoscale node-pool default-pool --min 1 --max 10

Answer

gcloud container clusters update my-cluster --enable-autoscaling --min-nodes 1 --max-nodes 10

Question 9

You have a Cloud Run service that you want to update to use a new container image. You also want to keep the previous revision available in case you need to roll back. Which command should you use?

Accepted Answer

gcloud run deploy my-service --image gcr.io/my-project/my-app:v2. The command 'gcloud run deploy my-service --image gcr.io/my-project/my-app:v2' deploys a new revision of the Cloud Run service using the specified container image. By default, Cloud Run keeps previous revisions, allowing rollback. This is the standard and correct way to update a service.

Answer

gcloud run revisions update my-service --image gcr.io/my-project/my-app:v2

Answer

gcloud run services update --image gcr.io/my-project/my-app:v2

Answer

kubectl set image service/my-service my-app=gcr.io/my-project/my-app:v2

Question 10

You are troubleshooting a slow application that uses multiple microservices. You suspect a particular service is causing high latency. Which TWO Google Cloud tools should you use to identify the root cause? (Select 2)

Accepted Answer

Cloud Monitoring. Cloud Trace traces requests across services to pinpoint latency, and Cloud Monitoring can show metrics like request latency and error rates.

Answer

Cloud Profiler

Answer

Cloud Logging

Answer

Cloud Debugger

Question 11

You want to create a log-based metric to count errors from your application logs. Which TWO resources are required? (Select 2)

Accepted Answer

A filter that matches the error log entries. You need a filter to match error logs and a metric descriptor that defines the metric type.

Answer

An alerting policy

Answer

A log sink

Answer

A notification channel

Question 12

You need to create a log-based metric that counts the number of errors in your application logs. What must you do first in Cloud Logging?

Accepted Answer

Define a filter that matches the error logs. In Cloud Logging, a log-based metric is based on a filter. You define the filter using the logging query language to match the logs you want to count, then create the metric from that filter.

Answer

Create an alerting policy with a condition

Answer

Create a log sink that exports logs to BigQuery

Answer

Install the Logging agent on your VMs

Question 13

You have a Compute Engine VM that is running a critical application. You need to change its machine type from n1-standard-4 to n2-standard-8. What is the correct procedure?

Accepted Answer

Stop the instance, then use gcloud compute instances set-machine-type, then start the instance. To change the machine type of a running Compute Engine VM, you must stop the instance, use the set-machine-type command (or console) to change the machine type, and then start the instance. This is because the machine type determines the virtual hardware, and changing it requires the instance to be stopped.

Answer

Use gcloud compute instances update --machine-type n2-standard-8 while the instance is running

Answer

Delete the instance and create a new one with the desired machine type

Answer

Use gcloud compute instances resize --machine-type n2-standard-8 without stopping

Question 14

Your GKE cluster has a node pool that you want to enable autoscaling on. The initial node count is 3, and you want the cluster to scale between 1 and 10 nodes. Which command should you use?

Accepted Answer

gcloud container node-pools update my-pool --cluster=my-cluster --enable-autoscaling --min-nodes 1 --max-nodes 10 --region us-central1. The correct command to enable autoscaling on an existing node pool is 'gcloud container node-pools update my-pool --cluster=my-cluster --enable-autoscaling --min-nodes 1 --max-nodes 10 --region us-central1'. This command targets the node pool specifically and uses the correct flags for minimum and maximum node counts.

Answer

gcloud container clusters update my-cluster --enable-autoscaling --min-nodes 1 --max-nodes 10 --region us-central1

Answer

gcloud container clusters update my-cluster --enable-autoscaling --min-size 1 --max-size 10 --region us-central1

Answer

gcloud container node-pools update my-pool --cluster=my-cluster --autoscaling --min 1 --max 10 --region us-central1

Question 15

You want to monitor the uptime of an external HTTP endpoint every minute and receive an email notification if the endpoint is unavailable for more than two consecutive checks. What should you do?

Accepted Answer

Create an uptime check in Cloud Monitoring, then create an alerting policy with condition 'metric threshold' for 'check_failed' and set notification channel to email. Cloud Monitoring uptime checks are purpose-built to probe external HTTP/HTTPS/TCP endpoints on a schedule (as frequent as once per minute), and alerting policies can trigger on the 'check_failed' metric with a threshold and duration that maps to 'two consecutive failures.' Email notification channels are natively supported, making this the correct, managed solution without custom code.

Answer

Create a log-based alert in Cloud Logging that triggers on network errors

Answer

Use Cloud Functions to periodically call the endpoint and send an email on failure

Answer

Configure a TCP health check on the load balancer