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Data Security and GovernancehardMultiple ChoiceObjective-mapped

DEA-C01 Data Security and Governance Practice Question

A company uses AWS Lake Formation to manage data lakes on Amazon S3. The data engineer needs to grant a data analyst access to query specific columns in a table using Amazon Athena, but deny access to columns containing personally identifiable information (PII). Which Lake Formation feature should be used?

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

Column-level permissions in Lake Formation.

Lake Formation column-level permissions allow granting access to specific columns and denying access to others. This is the correct feature for restricting access to PII columns while allowing querying other columns. Row-level security (A) controls which rows are visible, not columns. Tag-based access control (C) is for resource categorization, not fine-grained column access. Cell-level security (D) is not a feature of Lake Formation or AWS Glue.

Answer analysis

Option-by-option breakdown

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

  • Row-level security filters.

    Why it's wrong here

    Row-level security filters rows, not columns.

  • Column-level permissions in Lake Formation.

    Why this is correct

    Column-level permissions allow granting access to specific columns and denying others.

  • Tag-based access control with Lake Formation tags.

    Why it's wrong here

    Tags control resource access, not column-level granularity.

  • Cell-level security with AWS Glue.

    Why it's wrong here

    Cell-level security is not directly supported by Lake Formation.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This DEA-C01 practice question is part of Courseiva's free Amazon Web Services 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 DEA-C01 exam.