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PROFESSIONAL-DATA-ENGINEER · Question #304

PROFESSIONAL-DATA-ENGINEER Question #304: Real Exam Question with Answer & Explanation

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Submitted by luis.pe· Mar 30, 2026Designing data processing systems

Question

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?

Options

  • AProvide 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.
  • BCreate 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
  • CLoad 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.
  • DProvide the data science team access to Dataprep to prepare, validate, and explore the data within Cloud Storage.

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Topics

#Data Preparation#Data Cleansing#Low Code#Google Cloud Dataprep
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