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Knowledge Check :Building Data Lakes on AWS (AWS Cloud Solutions Architect Professional Certificate) Answers 2025

1. Question 1

Function of a data lake as a centralized repository

  • ❌ Store unstructured data from a single source

  • ❌ Store structured data from any source

  • ✅ Store structured and unstructured data from any source

  • ❌ Store structured and unstructured data from a single source

Explanation:
A data lake ingests all data types (structured, semi-structured, unstructured) from any source in raw form.

2. Question 2

Most cost-effective storage for a data lake

  • ❌ Amazon EBS

  • ✅ Amazon S3

  • ❌ Amazon RDS

  • ❌ Amazon Redshift

Explanation:
Amazon S3 is the industry-standard storage layer for data lakes due to low cost, massive durability, scalability, and deep integration with analytics tools.

3. Question 3 (Select TWO)

Services used in the processing layer of a data lake

  • ❌ AWS Snowball

  • ✅ AWS Glue

  • ✅ Amazon EMR

  • ❌ Amazon QuickSight

  • ❌ Amazon Athena

Explanation:
Processing layer = ETL + big data processing

  • AWS Glue → serverless ETL

  • Amazon EMR → big data frameworks (Spark, Hadoop, Hive)

Athena is a query layer, QuickSight is visualization, Snowball is for data transfer, not processing.

🧾 Summary Table

Q# Correct Answer Key Concept
1 Store structured & unstructured data from any source Data lake definition
2 Amazon S3 Data lake storage
3 AWS Glue & Amazon EMR Data processing layer