You have a number of applications that have bursty workloads and are heavily dependent on topics to decouple publishing systems from consuming systems. Your company would like to go serverless to enable developers to focus on writing code without worrying about infrastructure.
Your solution architect has already identified Cloud Pub/Sub as a suitable alternative for decoupling systems. You have been asked to identify a suitable GCP Serverless service that is easy to use with Cloud Pub/Sub. You want the ability to scale down to zero when there is no traffic in order to minimize costs. You want to follow Google recommended practices. What should you suggest?

• A.Cloud Run for Anthos
• B.Cloud Run
• C.App Engine Standard
• D.Cloud Functions.

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Your organization is a financial company that needs to store audit log files for 3 years. Your organization has hundreds of Google Cloud projects. You need to implement a cost-effective approach for log file retention.
What should you do?

• A.Create an export to the sink that saves logs from Cloud Audit to BigQuery.
• B.Create an export to the sink that saves logs from Cloud Audit to a Coldline Storage bucket.
• C.Write a custom script that uses logging API to copy the logs from Stackdriver logs to BigQuery.
• D.Export these logs to Cloud Pub/Sub and write a Cloud Dataflow pipeline to store logs to Cloud SQL.

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You deployed a new application inside your Google Kubernetes Engine cluster using the YAML file specified below.

You check the status of the deployed pods and notice that one of them is still in PENDING status:

You want to find out why the pod is stuck in pending status. What should you do?

• A.Review details of the myapp-service Service object and check for error messages.
• B.Review details of the myapp-deployment Deployment object and check for error messages.
• C.Review details of myapp-deployment-58ddbbb995-lp86m Pod and check for warning messages.
• D.View logs of the container in myapp-deployment-58ddbbb995-lp86m pod and check for warning messages.

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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. 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
• 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 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.
• D.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.

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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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