- A
Amazon Kinesis Data Firehose
Why wrong: Firehose has higher latency and is for delivery, not real-time processing.
- B
AWS Glue ETL
Why wrong: Glue ETL is batch-oriented, not real-time.
- C
Amazon S3
Why wrong: S3 is storage, not a stream processing service.
- D
Amazon Kinesis Data Analytics
Performs real-time analytics on streaming data.
- E
Amazon Kinesis Data Streams
Provides real-time data ingestion.
Question 1,318 of 1,786
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 ingestion pipeline for streaming social media data. The data must be ingested with low latency (seconds) and stored in Amazon S3 for long-term analytics. The engineer also needs to perform real-time aggregations. Which TWO services should the engineer use? (Choose two.)
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 Analytics
Amazon Kinesis Data Analytics is correct because it enables real-time processing and aggregation of streaming data using SQL or Apache Flink, allowing the engineer to compute metrics like counts or averages on the fly. Combined with Kinesis Data Streams as the ingestion layer, it provides sub-second latency for both ingestion and analytics, meeting the low-latency requirement.
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 it's wrong here
Firehose has higher latency and is for delivery, not real-time processing.
- ✗
AWS Glue ETL
Why it's wrong here
Glue ETL is batch-oriented, not real-time.
- ✗
Amazon S3
Why it's wrong here
S3 is storage, not a stream processing service.
- ✓
Amazon Kinesis Data Analytics
Why this is correct
Performs real-time analytics on streaming data.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Provides real-time data ingestion.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Kinesis Data Firehose with Kinesis Data Streams, assuming Firehose can achieve sub-second latency, but Firehose's minimum buffer interval of 60 seconds makes it unsuitable for true real-time ingestion, while Data Streams provides the necessary low-latency ingestion.
Detailed technical explanation
How to think about this question
Kinesis Data Streams uses shards to partition data, each supporting up to 1 MB/s or 1,000 records/s for writes, and Kinesis Data Analytics can consume from multiple shards in parallel using an in-application input stream. Under the hood, Kinesis Data Analytics runs a Flink application that maintains state for windowed aggregations, such as tumbling or sliding windows, enabling real-time metrics like trending hashtags every few seconds. A real-world scenario is a social media platform tracking engagement metrics per post, where Kinesis Data Streams ingests clicks and Kinesis Data Analytics computes running totals before landing aggregated results in S3 via a Firehose delivery stream.
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 Analytics — Amazon Kinesis Data Analytics is correct because it enables real-time processing and aggregation of streaming data using SQL or Apache Flink, allowing the engineer to compute metrics like counts or averages on the fly. Combined with Kinesis Data Streams as the ingestion layer, it provides sub-second latency for both ingestion and analytics, meeting the low-latency requirement.
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.
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Last reviewed: Jul 4, 2026
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