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NEW QUESTION 40
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. 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.B. Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.C. 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.D. In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.

Answer: B

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

 

NEW QUESTION 41
You support an application running on App Engine. The application is used globally and accessed from various device types. You want to know the number of connections. You are using Stackdriver Monitoring for App Engine. What metric should you use?

A. tcp_ssl_proxy/new_connectionsB. tcp_ssl_proxy/open_connectionsC. flex/instance/connections/currentD. flex/connections/current

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/monitoring/api/metrics_gcp

 

NEW QUESTION 42
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 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.B. 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.C. 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.D. 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.

Answer: A

 

NEW QUESTION 43
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