Google Associate Cloud Engineer

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Explanation:

Option C is correct because it follows Google's recommended practices. Attaching labels to resources is a best practice in GCP for tracking metadata such as owner and purpose. Exporting Cloud Billing data into BigQuery allows for centralized billing data and complex queries to analyze resource consumption effectively. Creating a Data Studio dashboard provides a visual representation of the findings, making it easier for management to understand. Options A and B are less efficient and scalable, while option D requires significant manual effort and is not as comprehensive as using labels and BigQuery for analysis.

Explanation:

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You are tasked with investigating resource consumption charges in your GCP environment and presenting a summary of your findings. What is the most efficient method to achieve this?

Real Exam

Assign tags to resources to reflect the owner and purpose. 2. Export Cloud Billing data into BigQuery and create a Data Studio dashboard for analysis.

25.0%

Add owner and purpose in resource names. 2. Write a Python script to analyze resource consumption.

5.0%

Attach labels to resources to reflect the owner and purpose. 2. Export Cloud Billing data into BigQuery and create a Data Studio dashboard for analysis.

60.0%

Create a script to analyze resource usage based on the project to which the resources belong. 2. In this script, use the IAM accounts and services accounts that control given resources.

10.0%