Use kubectl app deploy <dockerfilename>.

Use gcloud app deploy <dockerfilename>.

Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment
YAML file to point to that image. Use kubectl to create the deployment with that file.

Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML
file to point to that image. Use kubectl to create the deployment with that file.

Create two configurations using gcloud config configurations create [NAME]. Run gcloud config
configurations activate [NAME] to switch between accounts when running the commands to start the
Compute Engine instances.

Create two configurations using gcloud config configurations create [NAME]. Run gcloud
configurations list to start the Compute Engine instances.

Activate two configurations using gcloud configurations activate [NAME]. Run gcloud config list to
start the Compute Engine instances.

Activate two configurations using gcloud configurations activate [NAME]. Run gcloud configurations
list to start the Compute Engine instances.

Select Cloud SQL (MySQL). Verify that the enable binary logging option is selected. 

Select Cloud SQL (MySQL). Select the create failover replicas option.

Select Cloud Spanner. Set up your instance with 2 nodes.

Select Cloud Spanner. Set up your instance as multi-regional.

Filter the Activity log to view the Configuration category. Filter the Resource type to Service Account.

Filter the Activity log to view the Configuration category. Filter the Resource type to Google Project.

Filter the Activity log to view the Data Access category. Filter the Resource type to Service Account.

Filter the Activity log to view the Data Access category. Filter the Resource type to Google Project

Rely on live migration to move the workload to a machine with more memory.

Use gcloud to add metadata to the VM. Set the key to required-memory-size and the value to 8 GB.

Stop the VM, change the machine type to n1-standard-8, and start the VM.

Stop the VM, increase the memory to 8 GB, and start the VM

Option A

Option B

Option C

Option D

Split the users from business units to multiple projects.

Apply a user- or project-level custom query quota for BigQuery data warehouse.

Create separate copies of your BigQuery data warehouse for each business unit.

Split your BigQuery data warehouse into multiple data warehouses for each business unit.

Change your BigQuery query model from on-demand to flat rate. Apply the appropriate number of slots to each Project.

Create a service account with an access scope. Use the access scope
‘https://www.googleapis.com/auth/devstorage.write_only’.

Create a service account with an access scope. Use the access scope
‘https://www.googleapis.com/auth/cloud-platform’.

Create a service account and add it to the IAM role ‘storage.objectCreator’ for that bucket.

Create a service account and add it to the IAM role ‘storage.objectAdmin’ for that bucket