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    PracticeGCP Associate Cloud Engineer (ACE)GCP Associate Cloud Engineer Practice Exam 6Question 27
    Medium1 markMultiple Choice
    Domain 3.4: Deploying and implementing data solutionsBigQuerybq CLIData IngestionCloud Storage

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

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

    Which command-line tool and command should you use?

    Answer options:

    A.

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

    B.

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

    C.

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

    D.

    bq query --destination_table=analytics.sales_history 'SELECT * FROM gs://my-data-bucket/sales.csv'

    How to approach this question

    Remember that BigQuery has its own dedicated CLI tool (`bq`). The command to ingest data is `bq load`.

    Full Answer

    C.bq load analytics.sales_history gs://my-data-bucket/sales.csv✓ Correct
    To interact with BigQuery from the command line, you use the `bq` command-line tool, which is included in the Cloud SDK. To load data from a file (like a CSV in Cloud Storage) into a BigQuery table, the correct command is `bq load`. The syntax is `bq load [DATASET].[TABLE] [SOURCE_URI]`.

    Common mistakes

    Trying to use `gsutil cp` or `gcloud` to interact with BigQuery tables.
    Question 26All questionsQuestion 28

    Practice the full GCP Associate Cloud Engineer Practice Exam 6

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