TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location, its
telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US, Europe, or Asia). The CTO
has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after
100 K miles. You want to run this job on all the data.
What is the most cost-effective way to run this job?

• A.Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job
• B.Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job
• C.Launch a cluster in each region to preprocess and compress the raw data, then move the data into a
  multi-region bucket and use a Dataproc cluster to finish the job
• D.Launch a cluster in each region to preprocess and compress the raw data, then move the data into a
  region bucket and use a Cloud Dataproc cluster to finish the job

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A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment You want to advocate for the adoption of Google Cloud Deployment Manager What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers

• A.Cloud Deployment Manager requires a Google APIs service account to run.
• B.Cloud Deployment Manager uses Python.
• C.Cloud Deployment Manager APIs could be deprecated in the future.
• D.Cloud Deployment Manager can be used to permanently delete cloud resources.
• E.Cloud Deployment Manager only supports automation of Google Cloud resources.
• F.Cloud Deployment Manager is unfamiliar to the company's engineers.

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Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?

• A.Create a project for development and test and another for staging and production
• B.Create a network for development and test and another for staging and production
• C.Create one subnetwork for development and another for staging and production
• D.Create one project for development, a second for staging and a third for production

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Your company and one of its partners each nave a Google Cloud protect in separate organizations. Your company s protect (prj-a) runs in Virtual Private Cloud (vpc-a). The partner's project (prj-b) runs in vpc-b.
There are two instances running on vpc-a and one instance running on vpc-b Subnets denned in both VPCs are not overlapping. You need to ensure that all instances communicate with each other via internal IPs minimizing latency and maximizing throughput. What should you do?

• A.Set up a VPN between vpc-a and vpc-b using Cloud VPN
• B.Configure IAP TCP forwarding on the instance in vpc b and then launch the following gcloud command from one of the instance in vpc-gcloud:
  
  1. Create an additional instance in vpc-a
  2. Create an additional instance n vpc-b
  3. Instal OpenVPN in newly created instances
  4. Configure a VPN tunnel between vpc-a and vpc-b with the help of OpenVPN
• C.Set up a network peering between vpc-a and vpc-b

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Your company creates rendering software which users can download from the company website.
Your company has customers all over the world. You want to minimize latency for all your customers. You want to follow Google-recommended practices.
How should you store the files?

• A.Save the files in a Regional Cloud Storage bucket, one bucket per zone of the region.
• B.Save the files in multiple Multi-Regional Cloud Storage buckets, one bucket per multi-region.
• C.Save the files in multiple Regional Cloud Storage buckets, one bucket per zone per region.
• D.Save the files in a Multi-Regional Cloud Storage bucket.

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