- A
Amazon Kinesis Data Firehose
Kinesis Data Firehose can subscribe to a Kinesis Data Stream, transform data, and automatically deliver to S3.
- B
AWS Glue
Why wrong: AWS Glue is a batch ETL service, not suitable for real-time streaming.
- C
Amazon EMR
Why wrong: Amazon EMR is a managed Hadoop cluster that requires more operational overhead.
- D
Amazon Kinesis Data Analytics
Why wrong: Kinesis Data Analytics is for real-time analytics, not for delivering transformed data to S3.
Question 25 of 1,786
Streaming Transformation with Minimal Overhead: Kinesis Data Firehose
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 engineering team is ingesting streaming data from IoT devices into Amazon Kinesis Data Streams. The data must be transformed in real-time and then loaded into an Amazon S3 bucket for long-term storage. Which AWS service should be used to perform the transformation and delivery to S3 with minimal operational overhead?
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
✓
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service designed to automatically load streaming data into Amazon S3, Redshift, Elasticsearch, and Splunk. It can invoke an AWS Lambda function for real-time data transformation before delivery, eliminating the need to manage any infrastructure or write custom code for the delivery pipeline. This directly meets the requirement of minimal operational overhead for transformation and S3 delivery.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Kinesis Data Firehose can subscribe to a Kinesis Data Stream, transform data, and automatically deliver to S3.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue
Why it's wrong here
AWS Glue is a batch ETL service, not suitable for real-time streaming.
- ✗
Amazon EMR
Why it's wrong here
Amazon EMR is a managed Hadoop cluster that requires more operational overhead.
- ✗
Amazon Kinesis Data Analytics
Why it's wrong here
Kinesis Data Analytics is for real-time analytics, not for delivering transformed data to S3.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Kinesis Data Analytics (which processes streams but does not deliver to S3) with Kinesis Data Firehose, or they overcomplicate the solution by selecting EMR or Glue for what is fundamentally a simple streaming ingestion and transformation task.
Detailed technical explanation
How to think about this question
Under the hood, Kinesis Data Firehose buffers incoming data up to a configurable size (1 MB minimum) or interval (60 seconds minimum) before writing to S3. When transformation is enabled, Firehose synchronously invokes a Lambda function, which must return the transformed records within the Lambda timeout (default 60 seconds) and the Firehose buffer window. A real-world scenario where this matters is when IoT devices emit sensor readings in a proprietary binary format; the Lambda function can decode and convert them to Parquet or JSON before Firehose delivers them to S3, all without any manual scaling.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Firehose — Amazon Kinesis Data Firehose is the correct choice because it is a fully managed service designed to automatically load streaming data into Amazon S3, Redshift, Elasticsearch, and Splunk. It can invoke an AWS Lambda function for real-time data transformation before delivery, eliminating the need to manage any infrastructure or write custom code for the delivery pipeline. This directly meets the requirement of minimal operational overhead for transformation and S3 delivery.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
1 more ways this is tested on DEA-C01
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A data pipeline ingests streaming data from thousands of IoT devices into Kinesis Data Streams. The data must be transformed using a simple field mapping before being stored in S3. Which service should be used to perform the transformation with minimal operational overhead?
easy- A.AWS Lambda function invoked by the Kinesis stream
- B.AWS Glue ETL job
- C.Kinesis Data Analytics
- ✓ D.Kinesis Data Firehose with a Lambda transformation
Why D: Option D is correct because Kinesis Data Firehose can invoke a Lambda function to perform simple field mapping transformations before delivering data to S3, minimizing operational overhead. Option A is wrong because AWS Lambda invoked directly by the Kinesis stream requires custom logic for S3 delivery and stream management, increasing overhead. Option B is wrong because AWS Glue ETL jobs are designed for batch processing and are more complex to set up for streaming transformations. Option C is wrong because Kinesis Data Analytics is used for real-time analytics with SQL or Flink, not simple field mapping transformations.
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Last reviewed: Jul 4, 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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