Google Cloud Certified Associate-Cloud-Engineer Updated Exam

The most direct and recommended way to get a granular breakdown of your Google Cloud costs in BigQuery is to enable Cloud Billing data export to BigQuery when you create or manage your Cloud Billing account. This automatically sets up a daily export of your billing data to a BigQuery dataset you specify.

Option A: Enabling the BigQuery API and managing IAM roles are necessary for interacting with BigQuery, but they don't automatically populate it with Cloud Billing data. Selecting a data location is also important for BigQuery datasets but is a separate step from enabling billing export.

Option B: The BigQuery Data Transfer Service is used for transferring data from various sources into BigQuery, but for Cloud Billing data, the direct export feature is the standard and simpler method.

Option D: Enabling Cloud Billing and linking an account makes billing data available in the Cloud Billing console, but it doesn't automatically export it to BigQuery for detailed analysis. You need to explicitly configure the BigQuery export.

Reference to Google Cloud Certified - Associate Cloud Engineer Documents:

The process of setting up Cloud Billing export to BigQuery is clearly documented in the Google Cloud Billing documentation, which is a fundamental area for the Associate Cloud Engineer certification. Understanding how to access and analyze billing data is crucial for cost management.

Managed instance groups offer autoscaling capabilities that let you automatically add or delete instances from a managed instance group based on increases or decreases in load (CPU Utilization in this case). Autoscaling helps your apps gracefully handle increases intraffic and reduce costs when the need for resources is lower. You define the autoscaling policy and the autoscaler performs automatic scaling based on the measured load (CPU Utilization in this case). Autoscaling works by adding more instances to your instance group when there is more load (upscaling), and deleting instances when the need for instances is lowered (downscaling).