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Preparing and Using Data for AnalysismediumMultiple SelectObjective-mapped

PDE Preparing and Using Data for Analysis Practice Question

A company wants to track data lineage for their BigQuery tables to understand how data flows from source to derived tables. Which TWO Google Cloud services can be used to capture and visualize data lineage? (Choose 2.)

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Dataplex Data Lineage

Dataplex provides a comprehensive Data Lineage feature that automatically captures lineage for BigQuery jobs. Additionally, the BigQuery Lineage API (part of Data Catalog) allows you to retrieve lineage programmatically.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Dataplex Data Lineage

    Why this is correct

    Dataplex provides automated lineage tracking for BigQuery.

  • Vertex AI Feature Store

    Why it's wrong here

    Feature Store manages ML features, not data lineage.

  • Cloud Composer

    Why it's wrong here

    Composer is an Airflow-based orchestration tool, not a lineage service.

  • Cloud Data Fusion

    Why it's wrong here

    Data Fusion is an ETL tool; it can push lineage to Dataplex but is not a lineage service itself.

  • BigQuery Lineage API

    Why this is correct

    The BigQuery Lineage API (in Data Catalog) provides programmatic access to lineage metadata.

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This PDE practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PDE exam.