Exit PROFESSIONAL-DATA-ENGINEER Professional Data Engineer on Google Cloud Platform
Question 3 of 5
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Q3 Single choice

You have a variety of files in Cloud Storage that your data science team wants to use in their models Currently, users do not have a method to explore, cleanse, and validate the data in Cloud Storage. You are looking for a low code solution that can be used by your data science team to quickly cleanse and explore data within Cloud Storage.

What should you do?

  • A

    Load the data into BigQuery and use SQL to transform the data as necessary Provide the data science team access to staging tables to explore the raw data.

  • B

    Provide the data science team access to Dataflow to create a pipeline to prepare and validate the raw data and load data into BigQuery for data exploration.

  • C

    Provide the data science team access to Dataprep to prepare, validate, and explore the data within Cloud Storage.

  • D

    Create an external table in BigQuery and use SQL to transform the data as necessary Provide the data science team access to the external tables to explore the raw data.

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