A customer is running a critical payroll system in a production environment in one data center and a disaster recovery (DR) environment in another. The application includes load-balanced web servers and failover for the MySQL database. The customer's DR process is manual and error-phone. For this reason, management has asked IT to migrate the application to AWS and make it highly available so that IT no longer has to manually fail over the environment.
How should a Solutions Architect migrate the system to AWS?

• A.Migrate the production environment to a single Availability Zone, and set up instance recovery for Amazon EC2. Decommission the DR environment because it is no longer needed.
• B.Migrate the production environment to span multiple Availability Zones, using Elastic Load Balancing and Multi-AZ Amazon RDS. Decommission the DR environment because it is no longer needed.
• C.Migrate the production and DR environments to different regions. Let AWS manage failover between the environments.
• D.Migrate the production and DR environments to different Availability Zones within the same region. Let AWS manage failover between the environments.

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For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?

• A.1. Give the BigQuery Data Editor role on the platform-logs dataset to the service accounts used by your instances.2. Update your instances' metadata to add the following value: logs-destination: bq://platform-logs.
• B.1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logs as a sink.2. Create a Cloud Function that is triggered by messages in the logs topic.3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logs dataset.
• C.1. In Stackdriver Logging, create a filter to view only Compute Engine logs.2. Click Create Export.3. Choose BigQuery as Sink Service, and the platform-logs dataset as Sink Destination.
• D.1. Create a Cloud Function that has the BigQuery User role on the platform-logs dataset.2. Configure this Cloud Function to create a BigQuery Job that executes this query:INSERT INTO dataset.platform-logs (timestamp, log)SELECT timestamp, log FROM compute.logsWHERE timestamp > DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)3. Use Cloud Scheduler to trigger this Cloud Function once a day.

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Your company has workloads running on Compute Engine and on-premises. The Google Cloud Virtual Private Cloud (VPC) is connected to your WAN over a Virtual Private Network (VPN). You need to deploy a new Compute Engine instance and ensure that no public Internet traffic can be routed to it. What should you do?

• A.Create the instance without a public IP address.
• B.Create the instance with Private Google Access enabled.
• C.Create a deny-all egress firewall rule on the VPC network.
• D.Create a route on the VPC to route all traffic to the instance over the VPN tunnel.

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You are developing a new application and are looking for a Jenkins installation to build and deploy your source code. You want to automate the installation as quickly and easily as possible. What should you do?

• A.Create a new Compute Engine instance. Run the Jenkins executable.
• B.Create a new Kubernetes Engine cluster. Create a deployment for the Jenkins image.
• C.Deploy Jenkins through the Google Cloud Marketplace.
• D.Create an instance template with the Jenkins executable. Create a managed instance group with this template.

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You need to grant access for three users so that they can view and edit table data on a Cloud Spanner instance. What should you do?

• A.Run gcloud iam roles describe roles/spanner.viewer - -project my-project.
  Add the users to the role.
• B.Run gcloud iam roles describe roles/spanner.databaseUser.
  Add the users to the role.
• C.Run gcloud iam roles describe roles/spanner.viewer - -project my-project.
  Add the users to a new group. Add the group to the role.
• D.Run gcloud iam roles describe roles/spanner.databaseUser.
  Add the users to a new group. Add the group to the role.

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