Quick Answer
The correct answers are Amazon Kinesis Data Firehose and AWS Glue, as both services can ingest data directly into Amazon S3 from batch and streaming sources. Kinesis Data Firehose is a fully managed service designed for streaming ingestion, capturing real-time data and loading it directly into S3 without requiring custom code, while AWS Glue handles batch ingestion through its ETL jobs and crawlers, reading from various sources and writing processed data to S3. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of how to architect a data lake that supports both ingestion patterns, with a common trap being to select Amazon Kinesis Data Streams, which requires a consumer application to write to S3 and does not ingest directly. A useful memory tip is to remember that Firehose fires data straight into S3 for streaming, while Glue glues batch data together and writes it out.
This DEA-C01 practice question tests your understanding of data store management. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data engineer is designing a data lake on Amazon S3. The data lake must support both batch and streaming ingestion. Which TWO AWS services can ingest data directly into S3? (Choose TWO.)
Amazon RDS
Why wrong: RDS is a relational database, not an S3 ingestion service.
AWS Glue
AWS Glue can ingest batch data and write to S3.
Amazon EMR
Why wrong: EMR processes data but is not a direct ingestion service.
Amazon DynamoDB
Why wrong: DynamoDB is a NoSQL database, not an S3 ingestion service.
Amazon Kinesis Data Firehose
Kinesis Data Firehose can deliver streaming data to S3.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AWS Glue
AWS Glue is correct because it can ingest data directly into S3 via AWS Glue crawlers and ETL jobs, which read from various sources and write the processed data to S3. Amazon Kinesis Data Firehose is correct because it is a fully managed service that can capture, transform, and load streaming data directly into S3 without requiring custom code.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon RDS
Why it's wrong here
RDS is a relational database, not an S3 ingestion service.
AWS Glue
Why this is correct
AWS Glue can ingest batch data and write to S3.
Related concept
Read the scenario before looking for a memorised answer.
Amazon EMR
Why it's wrong here
EMR processes data but is not a direct ingestion service.
Amazon DynamoDB
Why it's wrong here
DynamoDB is a NoSQL database, not an S3 ingestion service.
Amazon Kinesis Data Firehose
Why this is correct
Kinesis Data Firehose can deliver streaming data to S3.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often confuse services that can process data from S3 (like EMR) with services that can directly ingest data into S3, or they mistakenly think RDS or DynamoDB can natively write to S3 without additional services.
Detailed technical explanation
Kinesis Data Firehose uses a buffering mechanism (configurable from 1 to 900 seconds and 1 MB to 128 MB) to batch records before writing to S3, which optimizes cost and reduces the number of S3 PUT requests. AWS Glue ETL jobs can leverage Apache Spark under the hood to perform complex transformations and write data in formats like Parquet, ORC, or Avro directly to S3, supporting both batch and streaming ingestion via Glue Streaming ETL.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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Data Store Management — study guide chapter
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FAQ
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
The correct answer is: AWS Glue — AWS Glue is correct because it can ingest data directly into S3 via AWS Glue crawlers and ETL jobs, which read from various sources and write the processed data to S3. Amazon Kinesis Data Firehose is correct because it is a fully managed service that can capture, transform, and load streaming data directly into S3 without requiring custom code.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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