- A
Amazon Managed Streaming for Apache Kafka (MSK)
Why wrong: MSK is an alternative but not needed if Kinesis Data Streams is already used.
- B
Amazon Kinesis Data Analytics
Performs real-time processing and analytics on streaming data.
- C
Amazon Kinesis Data Firehose
Delivers processed data to S3 for storage and batch analytics.
- D
Amazon Kinesis Data Streams
Provides low-latency data ingestion for clickstream data.
- E
AWS Glue ETL job
Why wrong: Glue is for batch processing, not real-time.
Question 519 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 company is designing a data ingestion pipeline for real-time clickstream data. The data must be ingested with low latency (< 1 second) and then processed for real-time analytics. The processed data should be stored in Amazon S3 for batch analytics. Which THREE services should be used together?
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 company to perform real-time analytics on clickstream data with sub-second latency. It directly consumes data from Kinesis Data Streams and can output results to Kinesis Data Firehose for storage in Amazon S3, fulfilling the requirement for both real-time analytics and batch analytics storage.
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 Managed Streaming for Apache Kafka (MSK)
Why it's wrong here
MSK is an alternative but not needed if Kinesis Data Streams is already used.
- ✓
Amazon Kinesis Data Analytics
Why this is correct
Performs real-time processing and analytics on streaming data.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Delivers processed data to S3 for storage and batch analytics.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Provides low-latency data ingestion for clickstream data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue ETL job
Why it's wrong here
Glue is for batch processing, not real-time.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Kinesis Data Firehose as a real-time analytics service, but it is only a delivery stream for loading data into destinations like S3, not for performing real-time computations; the real-time analytics requirement is fulfilled by Kinesis Data Analytics, not Firehose.
Detailed technical explanation
How to think about this question
Kinesis Data Streams uses shards to scale ingestion, each shard supporting up to 1 MB/s or 1,000 records/s for writes, and Kinesis Data Analytics processes records using in-application streams with millisecond-level checkpointing. The integration with Kinesis Data Firehose allows automatic data conversion (e.g., Parquet) and compression before landing in S3, ensuring cost-effective batch analytics without custom code. In a real-world scenario, this architecture can handle millions of click events per second while maintaining <1 second end-to-end latency for analytics.
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 company to perform real-time analytics on clickstream data with sub-second latency. It directly consumes data from Kinesis Data Streams and can output results to Kinesis Data Firehose for storage in Amazon S3, fulfilling the requirement for both real-time analytics and batch analytics storage.
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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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 →
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Last reviewed: Jul 4, 2026
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