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Answer: Export the billing account data to BigQuery; then leverage BigQuery to analyze the service data for the specified projects, by day and month.
The correct answer is **C** because exporting billing data to BigQuery allows for efficient and flexible analysis of daily and monthly spending across services. This method is supported by Google Cloud's documentation on Cloud Billing Export to BigQuery, which highlights the importance of tools for monitoring, analyzing, and optimizing costs. Options **A** and **D** are incorrect as they are not as straightforward or adaptable. Option **B** is incorrect because it involves unnecessary complexity compared to directly using BigQuery for analysis.
Author: LeetQuiz Editorial Team
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Your finance team is collaborating with the engineering team to analyze daily and monthly spending across all projects under a billing account. What is the most straightforward and adaptable method to aggregate and examine this data?
A
Utilize the built-in reports that already display this data.
B
Export the billing account data to a JSON file; employ a Cloud Function to monitor for new files in the Storage bucket; program the function to analyze the service data for the specified projects, by day and month.
C
Export the billing account data to BigQuery; then leverage BigQuery to analyze the service data for the specified projects, by day and month.
D
Export the billing account data to a file, import the files into a SQL database; and then use BigQuery to analyze the service data for the specified projects, by day and month.
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