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

1. Question 1 (Select TWO)

Services used for data ingestion into a data lake

  • Amazon Kinesis Data Firehose

  • ❌ Amazon QuickSight

  • ❌ Amazon Athena

  • AWS Storage Gateway

  • ❌ Amazon Redshift

Explanation:

  • Kinesis Data Firehose → real-time streaming ingestion into S3.

  • AWS Storage Gateway → hybrid ingestion from on-premises to S3.

  • Athena & QuickSight are querying/visualization tools, not ingestion.

  • Redshift is a data warehouse, not an ingestion mechanism.


2. Question 2

Continuous replication into Redshift & S3

  • ❌ AWS Storage Gateway

  • ❌ AWS SCT

  • AWS Database Migration Service (AWS DMS)

  • ❌ Kinesis Data Firehose

Explanation:
AWS DMS supports ongoing replication and streams data continuously into Amazon Redshift and Amazon S3.


3. Question 3

AWS Glue feature that catalogs your data

  • AWS Glue Crawler

  • ❌ AWS Glue DataBrew

  • ❌ AWS Glue Studio

  • ❌ AWS Glue Streaming ETL

Explanation:
Glue Crawlers automatically scan data sources and build the Data Catalog with schemas.


4. Question 4

Query multiple data stores (S3 + RDS + DynamoDB) with a single query

  • Amazon Athena Federated Query

  • ❌ Redshift Query Editor

  • ❌ SQL Workbench

  • ❌ AWS Glue DataBrew

Explanation:
Athena Federated Query lets you query S3, RDS, DynamoDB, and more in one SQL query without moving data.


🧾 Summary Table

Q# Correct Answer Key Concept
1 Kinesis Firehose, Storage Gateway Data ingestion
2 AWS DMS Continuous replication
3 Glue Crawler Data cataloging
4 Athena Federated Query Multi-source querying