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NEW QUESTION 31
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

• A. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
  2. Create a Cloud Function that deletes snapshots that are older than 30 days.
  3. Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
• B. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
  2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
  - Schedule frequency: Daily
  - Start time: 1:00 AM ?2:00 AM
  - Autodelete snapshots after 30 days
• C. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
  2. Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
  3. Configure the instance's crontab to execute these scripts daily at 1:00 AM.
• D. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
  2. Update your instances' metadata to add the following value: snapshot-retention: 30

Answer: B

NEW QUESTION 32
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem.
What should you do?

• A. Review the Error Reporting page in the Cloud Console to find any errors.
• B. In Cloud Logging create a filter for your Data Studio report
• C. Use the BigQuery interface to review the nightly Job and look for any errors
• D. Use Cloud Debugger to find out why the data was not refreshed correctly

Answer: D

NEW QUESTION 33
You've deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

• A. Store the database password inside the Docker image of the container, not in the YAML file.
• B. Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.
• C. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.
• D. Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.

Answer: C

NEW QUESTION 34
Your team uses a third-party monitoring solution. They've asked you to deploy it to the nodes in your Kubernetes Engine Cluster. What's the best way to do that?

• A. Connect to each node via SSH and install the monitoring solution.
• B. Use Deployment Manager to deploy the monitoring solution.
• C. Deploy the monitoring pod as a DaemonSet.
• D. Deploy the monitoring pod as a Deployment.

Answer: C

NEW QUESTION 35
You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application.
You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce- , that has no overlapping IP ranges with the first VPC. This instance needs to connect to the network application on GKE. You want to minimize effort. What should you do?

• A. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
  2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.
  3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
• B. 1. In GKE, create a Service of type NodePort that uses the application's Pods as backend.
  2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.
  3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.
  4. Configure the Compute Engine instance to use the address of proxy in gce-network as endpoint.
• C. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
  2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal
  3. Peer the two VPCs together.
  4. Configure the Compute Engine instance to use the address of the load balancer that has been created.
• D. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
  2. Set the service's externalTrafficPolicy to Cluster.
  3. Configure the Compute Engine instance to use the address of the load balancer that has been created.

Answer: C

Explanation:
You have to set load balancer as internal otherwise it will get exposed on public internet.

NEW QUESTION 36
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