GCP Professional Cloud Architect Practice Question
Your organization prohibits installing additional command-line tools on employee laptops. A data engineering squad must occasionally run BigQuery queries and transfer objects to Cloud Storage from their workstations. They want an ephemeral environment that already contains the gcloud, gsutil, and bq CLIs, is automatically authenticated to their Google Cloud project, and requires no local software installation or manual credential setup. Which solution best satisfies these constraints while keeping operational overhead to a minimum?
Install the Cloud Code plug-in in each developer's IDE to invoke the gcloud, gsutil, and bq commands from their local machines.
Launch Google Cloud Shell from the Google Cloud console and run the required commands in its pre-provisioned, auto-authenticated shell session.
Provide developers with a Docker image that contains the Cloud SDK and instruct them to run it locally using Docker Desktop.
Set up a shared bastion host VM with the Cloud SDK installed and have developers SSH into it when they need to run commands.
Cloud Shell is a browser-based Linux shell that launches on demand in its own transient Compute Engine VM. It comes with the full Google Cloud SDK-including the gcloud, gsutil, and bq commands-pre-installed and already authenticated to the user's current Google Account and selected project. Because it runs in the browser, no additional software or credentials have to be installed or managed on the developer's laptop, and the environment can be discarded automatically when the Cloud Shell session ends. The other options all require either installing local software (Docker or IDE plug-ins), maintaining host machines, or performing manual authentication, which violates the stated constraints.
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GCP Professional Cloud Architect
Managing implementation
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