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NEW QUESTION 49
Some of your production services are running in Google Kubernetes Engine (GKE) in the eu-west-1 region. Your build system runs in the us-west-1 region. You want to push the container images from your build system to a scalable registry to maximize the bandwidth for transferring the images to the cluster. What should you do?

A. Push the images to Google Container Registry (GCR) using the gcr.io hostname.
B. Push the images to Google Container Registry (GCR) using the eu.gcr.io hostname.
C. Push the images to a private image registry running on a Compute Engine instance in the eu-west-1 region.
D. Push the images to Google Container Registry (GCR) using the us.gcr.io hostname.

Answer: B
Explanation:
Hostname Storage location gcr.io Stores images in data centers in the United States asia.gcr.io Stores images in data centers in Asia eu.gcr.io Stores images in data centers within member states of the European Union us.gcr.io Stores images in data centers in the United States

NEW QUESTION 50
Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams' environments. What should you do?

A. Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.
B. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.
C. Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.
D. Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.

Answer: B
Explanation:
https://cloud.google.com/architecture/prep-kubernetes-engine-for-prod#roles_and_groups

NEW QUESTION 51
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

A. Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.
B. Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.
C. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.
D. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.

Answer: D
Explanation:
https://cloud.google.com/billing/docs/how-to/export-data-bigquery

NEW QUESTION 52
You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

A. Use Cloud Storage to cache intermediate artifacts.
B. Use larger Cloud Build virtual machines (VMs) by using the machine-type option.
C. Run multiple Jenkins agents to parallelize the build.
D. Use multiple smaller build steps to minimize execution time.

Answer: D
Explanation:
https://cloud.google.com/storage/docs/best-practices
. https://cloud.google.com/build/docs/speeding-up-builds#caching_directories_with_google_cloud_storage Caching directories with Google Cloud Storage To increase the speed of a build, reuse the results from a previous build. You can copy the results of a previous build to a Google Cloud Storage bucket, use the results for faster calculation, and then copy the new results back to the bucket. Use this method when your build takes a long time and produces a small number of files that does not take time to copy to and from Google Cloud Storage.
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NEW QUESTION 53
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

A. Validate that the resource requirements are within the available quota limits of each region.
B. Monitor results of Stackdriver Trace to determine the required amount of resources.
C. Deploy the service in one region and use a global load balancer to route traffic to this region.
D. Use the n1-highcpu-96 machine type in the configuration of the MIG.

Answer: D

NEW QUESTION 54
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