- A
Amazon Kinesis Data Analytics
Enables real-time processing and schema evolution.
- B
Amazon Kinesis Data Firehose
Delivers processed data to S3.
- C
AWS Glue ETL jobs
Why wrong: Batch processing, not real-time.
- D
Amazon Kinesis Data Streams
Ingests streaming data from mobile apps.
- E
AWS AppFlow
Why wrong: For SaaS applications, not mobile app events.
DEA-C01 Data Ingestion and Transformation Practice Question
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 design a data ingestion pipeline that captures streaming data from mobile app events into Amazon S3 for analytics. The pipeline must support real-time processing of events and allow for schema evolution over time. Which AWS services should the engineer use? (Choose THREE.)
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 of streaming data using SQL or Apache Flink, allowing the engineer to analyze mobile app events as they arrive. This supports the requirement for real-time processing before the data is stored in Amazon S3 for analytics.
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 Analytics
Why this is correct
Enables real-time processing and schema evolution.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Delivers processed data to S3.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue ETL jobs
Why it's wrong here
Batch processing, not real-time.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Ingests streaming data from mobile apps.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS AppFlow
Why it's wrong here
For SaaS applications, not mobile app events.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse AWS Glue ETL jobs as a streaming solution, but Glue is fundamentally batch-oriented and cannot meet real-time processing requirements, while AppFlow is mistakenly chosen for its integration capabilities despite lacking streaming ingestion support.
Detailed technical explanation
How to think about this question
Kinesis Data Analytics processes data from Kinesis Data Streams using in-application SQL or Apache Flink, enabling real-time transformations, aggregations, and anomaly detection with sub-second latency. The combination of Kinesis Data Streams for durable, ordered event capture and Kinesis Data Firehose for reliable delivery to S3 ensures exactly-once semantics and automatic schema evolution via dynamic partitioning or custom Lambda functions.
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 of streaming data using SQL or Apache Flink, allowing the engineer to analyze mobile app events as they arrive. This supports the requirement for real-time processing before the data is stored in Amazon S3 for analytics.
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
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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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