You are the team lead of a group of 10 developers. You provided each developer with an individual Google Cloud Project that they can use as their personal sandbox to experiment with different Google Cloud solutions. You want to be notified if any of the developers are spending above $500 per month on their sandbox environment. What should you do?

1. A. Create a single budget for all projects and configure budget alerts on this budget.
2. B. Create a separate billing account per sandbox project and enable BigQuery billing export
3. C. Create a Data Studio dashboard to plot the spending per billing account.
4. D. Create a budget per project and configure budget alerts on all of these budgets.
5. E. Create a single billing account for all sandbox projects and enable BigQuery billing export
6. F. Create a Data Studio dashboard to plot the spending per project.

Correct Answer: C
Set budgets and budget alerts Overview Avoid surprises on your bill by creating Cloud Billing budgets to monitor all of your Google Cloud charges in one place. A budget enables you to track your actual Google Cloud spend against your planned spend. After you've set a budget amount, you set budget alert threshold rules that are used to trigger email notifications. Budget alert emails help you stay informed about how your spend is tracking against your budget. 2. Set budget scope Set the budget Scope and then click Next. In the Projects field, select one or more projects that you want to apply the budget alert to. To apply the budget alert to all the projects in the Cloud Billing account, choose Select all.
https://cloud.google.com/billing/docs/how-to/budgets#budget-scop

You have an application that looks for its licensing server on the IP 10.0.3.21. You need to deploy the licensing server on Compute Engine. You do not want to change the configuration of the application and want the application to be able to reach the licensing server. What should you do?

1. A. Reserve the IP 10.0.3.21 as a static internal IP address using gcloud and assign it to the licensing server.
2. B. Reserve the IP 10.0.3.21 as a static public IP address using gcloud and assign it to the licensing server.
3. C. Use the IP 10.0.3.21 as a custom ephemeral IP address and assign it to the licensing server.
4. D. Start the licensing server with an automatic ephemeral IP address, and then promote it to a static internal IP address.

Correct Answer: A
IP 10.0.3.21 is internal by default, and to ensure that it will be static non-changing it should be selected as static internal ip address.

You need to select and configure compute resources for a set of batch processing jobs. These jobs take around 2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

1. A. Select Google Kubernetes Engin
2. B. Use a single-node cluster with a small instance type.
3. C. Select Google Kubernetes Engin
4. D. Use a three-node cluster with micro instance types.
5. E. Select Compute Engin
6. F. Use preemptible VM instances of the appropriate standard machine type.
7. G. Select Compute Engin
8. H. Use VM instance types that support micro bursting.

Correct Answer: C
If your apps are fault-tolerant and can withstand possible instance preemptions, then preemptible instances can reduce your Compute Engine costs significantly. For example, batch processing jobs can run on preemptible instances. If some of those instances stop during processing, the job slows but does not completely stop. Preemptible instances complete your batch processing tasks without placing additional workload on your existing instances and without requiring you to pay full price for additional normal instances.
https://cloud.google.com/compute/docs/instances/preemptible

You have a workload running on Compute Engine that is critical to your business. You want to ensure that the data on the boot disk of this workload is backed up regularly. You need to be able to restore a backup as quickly as possible in case of disaster. You also want older backups to be cleaned automatically to save on cost. You want to follow Google-recommended practices. What should you do?

1. A. Create a Cloud Function to create an instance template.
2. B. Create a snapshot schedule for the disk using the desired interval.
3. C. Create a cron job to create a new disk from the disk using gcloud.
4. D. Create a Cloud Task to create an image and export it to Cloud Storage.

Correct Answer: B
Best practices for persistent disk snapshots
You can create persistent disk snapshots at any time, but you can create snapshots more quickly and with greater reliability if you use the following best practices.
Creating frequent snapshots efficiently
Use snapshots to manage your data efficiently.
Create a snapshot of your data on a regular schedule to minimize data loss due to unexpected failure. Improve performance by eliminating excessive snapshot downloads and by creating an image and reusing it. Set your snapshot schedule to off-peak hours to reduce snapshot time.
Snapshot frequency limits
Creating snapshots from persistent disks
You can snapshot your disks at most once every 10 minutes. If you want to issue a burst of requests to snapshot your disks, you can issue at most 6 requests in 60 minutes.
If the limit is exceeded, the operation fails and returns the following error: https://cloud.google.com/compute/docs/disks/snapshot-best-practices

You are developing a new web application that will be deployed on Google Cloud Platform. As part of your release cycle, you want to test updates to your application on a small portion of real user traffic. The majority of the users should still be directed towards a stable version of your application. What should you do?

1. A. Deploy me application on App Engine For each update, create a new version of the same service Configure traffic splitting to send a small percentage of traffic to the new version
2. B. Deploy the application on App Engine For each update, create a new service Configure traffic splitting to send a small percentage of traffic to the new service.
3. C. Deploy the application on Kubernetes Engine For a new release, update the deployment to use the new version
4. D. Deploy the application on Kubernetes Engine For a now release, create a new deployment for the newversion Update the service e to use the now deployment.

Correct Answer: A
Keyword, Version, traffic splitting, App Engine supports traffic splitting for versions before releasing.