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You are responsible for the Google Cloud environment in your company Multiple departments need access to their own projects and the members within each department will have the same project responsibilities You want to structure your Google Cloud environment for minimal maintenance and maximum overview of 1AM permissions as each department ' s projects start and end You want to follow Google-recommended practices What should you do?

• A. Create a folder per department and grant the respective members of the department the required 1AM permissions at the folder level. Structure all projects for each department under the respective folders
• B. Grant all department members the required 1AM permissions for their respective projects
• C. Create a Google Group per department and add all department members to their respective groups Grant each group the required I AM permissions for their respective projects
• D. Create a Google Group per department and add all department members to their respective groups Create a folder per department and grant the respective group the required 1AM permissions at the folder level Add the projects under the respective folders

Your company has an enterprise application running on Compute Engine that requires high availability and high performance. The application has been deployed on two instances in two zones in the same region m active passive mode. The application writes data to a persistent disk in the case of a single zone outage that data should be immediately made available to the other instance in the other zone. You want to maximize performance while minimizing downtime and data loss. What should you do?

• A. 1. Attach a persistent SSD disk to the first instance
  2. Create a snapshot every hour
  3. In case of a zone outage, recreate a persistent SSD disk in the second instance where data is coming from the created snapshot
• B. 1 Attach a local SSD lo the first instance disk
  2. Execute an rsync command every hour where the target is a persistent SSD disk attached to the second instance
  3. In case of a zone outage, use the second instance
• C. 1 Create a Cloud Storage bucket
  2. Mount the bucket into the first instance with gcs-fuse
  3. In case of a zone outage, mount the Cloud Storage bucket to the second instance with gcs-fuse
• D. 1. Attach a regional SSD persistent Ask to the first instance
  2. In case of a zone outage, force-attach the disk to the other instance

You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

• A. Perform the following:
  1) Create a managed instance group with n1-standard-1 type machines.
  2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
  3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
• B. Perform the following:
  1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
  2) Build a Docker image from the production branch with all of the dependencies, and tag it with the version number.
  3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.
• C. Perform the following:
  1) Create a managed instance group with f1-micro type machines.
  2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
  3) Restart the instances to automatically deploy new production releases.
• D. Perform the following:
  1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines.
  2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
  3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
  Restart the pods to automatically deploy new production releases.

For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

• A. Have the vehicle ' s computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
• B. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.
• C. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.
• D. Have the vehicle' computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.

You need to set up Microsoft SQL Server on GCP. Management requires that there's no downtime in case of a data center outage in any of the zones within a GCP region. What should you do?

• A. Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in different zones.
• B. Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover Clustering. Place nodes in different subnets.
• C. Configure a Cloud Spanner instance with a regional instance configuration.
• D. Configure a Cloud SQL instance with high availability enabled.