🏞️ AWS Lake Formation - DEA-C01 Practice Questions

AWS Lake Formation simplifies building and securing data lakes. Study fine-grained access control, data filters, cross-account sharing, governed tables, and integration with Glue and Athena.

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2Exam Domains

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DEA-C01 Lake Formation Question Bank (2 Questions)

Browse all 2 practice questions covering AWS Lake Formation for the DEA-C01 certification exam. Answers are intentionally hidden on this page so you can self-test first before checking results in quiz mode.

  1. Question 1Data Security and Governance

    An organization uses multiple AWS accounts for different teams and wants to centrally manage data governance, permissions, and metadata across all accounts' data lakes. Which AWS service is designed for cross-account data lake governance?

    AAWS Organizations
    BAWS Control Tower
    CAmazon DataZone
    DAWS Lake Formation with cross-account sharing

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  2. Question 2Store and Manage Data

    A data lake uses S3 with Apache Parquet files. To enforce data governance and fine-grained access control at the column level, which service should be implemented?

    AAmazon Macie
    BAWS Lake Formation
    CAmazon GuardDuty
    DAWS IAM policies

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Key Lake Formation Concepts for DEA-C01

lake formationdata lakefine-grained accessdata filtergoverned tablecross-accounttag-based accesslf-tag

DEA-C01 Lake Formation Exam Tips

AWS Lake Formation questions in DEA-C01 are typically scenario-based. Focus on data ingestion, transformation, storage optimization, and governance. Priority concepts: lake formation, data lake, fine-grained access, data filter, governed table, cross-account.

What DEA-C01 Expects

  • Anchor your answer in choose scalable data pipeline patterns with clear data quality and security controls.
  • Lake Formation scenarios for DEA-C01 are frequently mapped to Domain 2 (26%), Domain 4 (18%), so read the objective carefully before picking controls or architecture.
  • Expect multi-topic scenarios where Lake Formation interacts with IAM, networking, storage, or observability patterns rather than appearing as an isolated question.
  • When two options are both technically valid, prefer the choice that best aligns with the exam's operational scope (Associate) and vendor best practices.

High-Value Lake Formation Concepts

  • Know the core Lake Formation building blocks cold: lake formation, data lake, fine-grained access, data filter.
  • Review the edge-case features and limits for governed table, cross-account; these details are commonly used to differentiate answer choices.
  • Practice service-integration reasoning: how Lake Formation pairs with AWS Glue, S3, Athena, IAM in real deployment patterns.
  • For DEA-C01, explain why the chosen Lake Formation design meets reliability, security, and cost expectations better than the alternatives.

Common DEA-C01 Traps

  • Watch for ignoring partitioning, schema evolution, or query efficiency.
  • Questions in Data Store Management often include distractors that look correct for Lake Formation but violate least-privilege, durability, or availability requirements.
  • Avoid picking options purely by feature name; validate data path, failure handling, and governance impact before answering.
  • If the prompt hints at automation or repeatability, eliminate manual-only operational answers first.

Fast Review Checklist

  • Can you compare at least two Lake Formation implementation paths and justify which one best fits the scenario?
  • Can you map the chosen answer back to Data Store Management (26%) outcomes for DEA-C01?
  • Can you explain security and access boundaries for Lake Formation without relying on default-open assumptions?
  • Can you describe how Lake Formation integrates with AWS Glue and S3 during failure, scaling, and monitoring events?

Exam Domains Covering Lake Formation

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