Google Associate Cloud Engineer exam dumps

Google Associate Cloud Engineer practice question 55 of 375

Associate Cloud Engineer. Free level, Google Cloud. Free question with the correct answer and a full explanation.

Google Associate Cloud Engineer Question 55

Select 2Google Cloud Platform

As a Google Cloud Associate Cloud Engineer, you are tasked with setting up billing exports to analyze your project's costs. Which of the following steps should you take to enable billing export to BigQuery?

  1. A

    Create a new dataset in BigQuery to store the billing data.

  2. B

    Enable the BigQuery Data Transfer Service in your project.

  3. C

    Assign the BigQuery Data Editor role to the billing account.

  4. D

    Configure billing export from the Billing section in the Google Cloud Console.

  5. E

    Set up a Cloud Storage bucket to receive the billing data.

Show answer and explanation

Correct answers: A, D

Explanation

To export billing data to BigQuery, you need to create a dataset in BigQuery where the billing data will be stored and configure the billing export settings in the Google Cloud Console to start the export process. This setup allows for detailed analysis of costs using BigQuery's querying capabilities. Other options, such as enabling the BigQuery Data Transfer Service or setting up a Cloud Storage bucket, are not related to this specific task.

  • A. Correct.

    Creating a new dataset in BigQuery is necessary to store the exported billing data.

  • B. Incorrect.

    The BigQuery Data Transfer Service is not required for billing exports; it is used for scheduled data transfers from external sources.

  • C. Incorrect.

    Assigning the BigQuery Data Editor role to the billing account is not necessary for setting up billing exports.

  • D. Correct.

    Configuring billing export from the Billing section is essential to enable and direct the export of billing data to BigQuery.

  • E. Incorrect.

    Setting up a Cloud Storage bucket is not needed for exporting billing data to BigQuery.

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