Google Associate Cloud Engineer Exam Practice Questions (P. 3)

GPT-4o - Answer

Option A is indeed correct for running Compute Engine instances across different GCP accounts. By creating distinct configurations for each account with `gcloud config configurations create [NAME]`, you can neatly separate settings per account. Activating these configurations using `gcloud config configurations activate [NAME]` allows you to switch context effortlessly between these accounts, making it practical to manage resources in them accordingly. Remember, the vital step is activating the right configuration before launching an instance to ensure you are operating within the intended account's context.

GPT-4o - Answer

When you are ready to move from a development to a production environment for an App Engine application, the most effective approach is straightforward. First, use the `gcloud` command line tool to create the new project. Following the creation, deploy your application to this freshly established project. This ensures that your production environment is set up with a clean configuration, preventing any inconsistencies that could arise from trying to copy configurations or applications directly from the development environment.

GPT-4o - Answer

When setting up permissions for Compute Engine instances to interact with Cloud Storage buckets, the IAM role approach in D, which specifies 'storage.objectAdmin', is optimal. This role encompasses permissions beyond creating objects, such as deleting or updating them, aligning well when broader object management within a bucket is necessary. However, if the requirement is strictly to write data without deletion or other management capabilities, role 'storage.objectCreator' mentioned in option C would be more aligned with the principle of least privilege. Thus, both D and potentially C are viable, depending on specific operational needs.

GPT-4o - Answer

The best approach to verify activities for a particular user across multiple Cloud Storage buckets is by filtering the Activity logs in the GCP Console. This allows you to efficiently review all user interactions, including metadata modifications and file access. The process involves navigating to the Activity log section, applying filters for specific buckets and the user in question. This method provides a comprehensive view of all relevant activities without the need for advanced configuration or additional tools, confirming the functionality of data access logging as outlined in Google Cloud's documentation on administrative and data access activities.

GPT-4o - Answer

Opting for the Storage Admin role in this case is spot on. This role provides comprehensive permissions, including full control over both buckets and objects within Google Cloud Storage. It's exactly what you need if you want your colleagues to manage everything within Cloud Storage without restrictions. Remember, granting broader access like this should always be done with a clear understanding of trust and responsibility due to the extensive capabilities it enables.

GPT-4o - Answer

Creating a signed URL for sharing an object from Cloud Storage is both efficient and secure. This method gives the external company a time-limited access to the sensitive data, expiring automatically after four hours. Since the external company does not have a Google account, this approach bypasses the need for user-based access privileges, maintaining security without any unnecessary complexity. It's a swift, straightforward solution without the overhead of managing public access or additional storage resources.

GPT-4o - Answer

To ensure that each node in your GKE cluster has a monitoring pod operating, deploying these pods as a DaemonSet is optimal. DaemonSets are specifically tailored for such purposes, as they automatically deploy a copy of the pod to all current and future nodes within the cluster. This means consistent monitoring across all nodes, which is crucial for effective container metrics collection sent to your third-party monitoring solution. Other options like StatefulSets, Deployments, or cluster initializers do not specifically guarantee this node-wide pod distribution, making DaemonSet the most appropriate choice for this scenario.