- A
Amazon Kinesis Data Streams
Kinesis Data Streams is built for real-time streaming data ingestion.
- B
AWS Glue
Why wrong: Glue is for batch ETL, not real-time streaming.
- C
Amazon S3
Why wrong: S3 is object storage, not designed for real-time streaming ingestion.
- D
AWS Lambda
Why wrong: Lambda is a compute service, not an ingestion endpoint for streaming data.
Question 1,431 of 1,786
Ingesting Streaming Data with Amazon Kinesis Data Streams for Real-Time Processing
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 engineer needs to ingest streaming data from thousands of IoT devices into AWS for real-time processing. The data volume peaks at 5 GB/min. Which AWS service should be used as the ingestion endpoint?
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 Streams
Amazon Kinesis Data Streams is designed for real-time data ingestion at scale, supporting throughput of up to 1 MB/s or 1,000 records/s per shard. With a peak of 5 GB/min (~83 MB/s), you can horizontally scale by adding shards to meet the required throughput, making it the ideal ingestion endpoint for high-volume streaming IoT data.
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 Streams
Why this is correct
Kinesis Data Streams is built for real-time streaming data ingestion.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue
Why it's wrong here
Glue is for batch ETL, not real-time streaming.
- ✗
Amazon S3
Why it's wrong here
S3 is object storage, not designed for real-time streaming ingestion.
- ✗
AWS Lambda
Why it's wrong here
Lambda is a compute service, not an ingestion endpoint for streaming data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse AWS Glue's streaming ETL capability (which reads from a stream but does not ingest) with a direct ingestion endpoint, or they assume S3's high durability makes it suitable for real-time ingestion, ignoring its lack of streaming semantics and low-latency write guarantees.
Detailed technical explanation
How to think about this question
Kinesis Data Streams uses shards as the base throughput unit, each providing 1 MB/s write capacity; for 5 GB/min (~83 MB/s), you need at least 83 shards. The service also supports record-level ordering within a shard and data retention up to 365 days, enabling replay and reprocessing—critical for IoT use cases where late-arriving data or fault tolerance is required.
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.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Data Ingestion and Transformation — study guide chapter
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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 Streams — Amazon Kinesis Data Streams is designed for real-time data ingestion at scale, supporting throughput of up to 1 MB/s or 1,000 records/s per shard. With a peak of 5 GB/min (~83 MB/s), you can horizontally scale by adding shards to meet the required throughput, making it the ideal ingestion endpoint for high-volume streaming IoT data.
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
2 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 engineer needs to ingest streaming data from a social media API into Amazon S3 for batch analytics. The data arrives at a rate of 500 records per second. Which service should be used to capture the stream?
easy- A.Amazon Simple Notification Service (SNS)
- B.Amazon Simple Queue Service (SQS)
- ✓ C.Amazon Kinesis Data Streams
- D.Amazon MQ
Why C: Amazon Kinesis Data Streams is designed for real-time streaming data ingestion at scale, supporting throughput of up to 1 MB/s or 1,000 records per second per shard. With 500 records per second, Kinesis can reliably capture and store the social media API data for up to 365 days, enabling batch analytics via S3 delivery through Kinesis Firehose or custom consumers.
Variation 2. A data engineer needs to ingest streaming data from thousands of IoT devices and immediately process each record with minimal latency. Which AWS service should be used as the ingestion point?
easy- A.AWS Lambda
- B.Amazon S3
- ✓ C.Amazon Kinesis Data Streams
- D.AWS Glue
Why C: Amazon Kinesis Data Streams is designed for real-time streaming data ingestion with low latency. AWS Glue is for batch ETL, S3 is object storage, and Lambda is compute but not an ingestion endpoint itself.
Keep practising
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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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