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    PracticeGCP Associate Cloud Engineer (ACE)GCP Associate Cloud Engineer Practice Exam 5Question 27
    Medium1 markMultiple Choice
    Domain 3.4: Deploying and implementing data solutionsDomain 3BigQuerybqData Ingestion

    GCP ACE · Question 27 · Domain 3.4: Deploying and implementing data solutions

    You have a large CSV file stored in a Cloud Storage bucket (gs://my-bucket/sales_data.csv). You need to load this data into an existing BigQuery table named sales in the analytics dataset.

    Which command should you use?

    Answer options:

    A.

    bq load analytics.sales gs://my-bucket/sales_data.csv

    B.

    gsutil cp gs://my-bucket/sales_data.csv bq://analytics.sales

    C.

    gcloud bigquery import gs://my-bucket/sales_data.csv analytics.sales

    D.

    bq import gs://my-bucket/sales_data.csv analytics.sales

    How to approach this question

    Identify the correct CLI tool for BigQuery (bq) and the correct verb for ingesting data (load).

    Full Answer

    A.bq load analytics.sales gs://my-bucket/sales_data.csv✓ Correct
    bq load analytics.sales gs://my-bucket/sales_data.csv
    To interact with BigQuery from the command line, you use the `bq` tool. The specific command to ingest data from a file (local or in Cloud Storage) into a BigQuery table is `bq load`. The syntax is `bq load [DATASET].[TABLE] [SOURCE_FILE]`.

    Common mistakes

    Trying to use `gsutil cp` to copy into BigQuery, or guessing the verb is 'import' instead of 'load'.
    Question 26All questionsQuestion 28

    Practice the full GCP Associate Cloud Engineer Practice Exam 5

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