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Exam Associate Data Practitioner All Questions

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Exam Associate Data Practitioner topic 1 question 40 discussion

Actual exam question from Google's Associate Data Practitioner
Question #: 40
Topic #: 1
[All Associate Data Practitioner Questions]

You are working on a data pipeline that will validate and clean incoming data before loading it into BigQuery for real-time analysis. You want to ensure that the data validation and cleaning is performed efficiently and can handle high volumes of data. What should you do?

  • A. Write custom scripts in Python to validate and clean the data outside of Google Cloud. Load the cleaned data into BigQuery.
  • B. Use Cloud Run functions to trigger data validation and cleaning routines when new data arrives in Cloud Storage.
  • C. Use Dataflow to create a streaming pipeline that includes validation and transformation steps.
  • D. Load the raw data into BigQuery using Cloud Storage as a staging area, and use SQL queries in BigQuery to validate and clean the data.
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Suggested Answer: C 🗳️
by n2183712847 at Feb. 27, 2025, 5:04 p.m.

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n2183712847
2 months ago
Selected Answer: C
C. Dataflow is real-time
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