🔍 Amazon Athena - DEA-C01 Practice Questions

Amazon Athena is a serverless interactive query service. Learn about partitioning, columnar formats (Parquet, ORC), workgroups, CTAS, federated queries, and cost optimization.

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DEA-C01 Athena Question Bank (7 Questions)

Browse all 7 practice questions covering Amazon Athena 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 1Store and Manage Data

    A team needs to implement data partitioning in S3 to optimize Athena query costs. Which partitioning strategy is BEST for time-series data queried by date range?

    APartition by file size
    BPartition by year/month/day prefix structure
    CUse a single flat prefix
    DPartition by data source

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  2. Question 2Store and Manage Data

    A data engineer needs to catalog metadata for all data assets in their S3-based data lake and enable querying using Amazon Athena. Which service should they configure?

    AAmazon DataZone
    BAWS Glue Data Catalog
    CAmazon OpenSearch Service
    DAWS Lake Formation

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  3. Question 3Data Ingestion and Transformation

    A team needs to convert CSV files in S3 to Parquet format for better query performance. Which approach is MOST cost-effective?

    AUse Amazon EMR with a Spark job
    BUse AWS Glue ETL job
    CUse Amazon Redshift COPY and UNLOAD
    DUse Amazon Athena CTAS query

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  4. Question 4Store 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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  5. Question 5Data Ingestion and Transformation

    What format should data be stored in for optimal query performance in Athena?

    ACSV
    BParquet or ORC (columnar formats with compression)
    CJSON
    DXML

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  6. Question 6Data Store Management

    What are Redshift Spectrum and Federated Query?

    ASame feature
    BSpectrum queries S3 data directly from Redshift; Federated Query queries live data in RDS/Aurora from Redshift — both extending Redshift beyond its local storage
    CS3 features
    DRDS features

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  7. Question 7Store and Manage Data

    A team runs complex analytical queries on a large DynamoDB table but needs SQL flexibility. They want to query DynamoDB data using standard SQL without ETL. Which AWS feature enables this?

    AAmazon Athena
    BAmazon Redshift Spectrum
    CAmazon RDS Proxy
    DPartiQL on DynamoDB

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Key Athena Concepts for DEA-C01

athenaquerysqlparquetorcpartitionworkgroupctasfederated queryserverless

DEA-C01 Athena Exam Tips

Amazon Athena questions in DEA-C01 are typically scenario-based. Focus on data ingestion, transformation, storage optimization, and governance. Priority concepts: athena, query, sql, parquet, orc, partition.

What DEA-C01 Expects

  • Anchor your answer in choose scalable data pipeline patterns with clear data quality and security controls.
  • Athena scenarios for DEA-C01 are frequently mapped to Domain 2 (26%), Domain 3 (22%), so read the objective carefully before picking controls or architecture.
  • Expect multi-topic scenarios where Athena 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 Athena Concepts

  • Know the core Athena building blocks cold: athena, query, sql, parquet.
  • Review the edge-case features and limits for orc, partition; these details are commonly used to differentiate answer choices.
  • Practice service-integration reasoning: how Athena pairs with S3, AWS Glue, Lake Formation, Redshift in real deployment patterns.
  • For DEA-C01, explain why the chosen Athena 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 Athena 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 Athena 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 Athena without relying on default-open assumptions?
  • Can you describe how Athena integrates with S3 and AWS Glue during failure, scaling, and monitoring events?

Exam Domains Covering Athena

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