DEA-C01 Data Ingestion and Transformation Practice Question
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?
⚠ Common exam trap
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.
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.
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.
- ✓
Amazon Kinesis Data Firehose
Why this is correct
Delivers processed data to S3 for storage and batch analytics.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Provides low-latency data ingestion for clickstream data.
- ✗
AWS Glue ETL job
Why it's wrong here
Glue is for batch processing, not real-time.
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 |
Go deeper
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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 company is designing a data ingestion pipeline for clickstream data from a website. The data must be ingested in near real-time. Which TWO services can be used together to build this pipeline?
medium- ✓ A.Amazon Kinesis Data Streams
- B.Amazon Simple Queue Service (SQS)
- C.Amazon S3
- ✓ D.Amazon Kinesis Data Firehose
- E.Amazon DynamoDB
Why A: Amazon Kinesis Data Streams can ingest clickstream data in near real-time. Option D is correct because Amazon Kinesis Data Firehose can deliver that streaming data to destinations like S3. Option B is wrong because SQS is a message queuing service, not a streaming ingestion service. Option C is wrong because S3 is a storage service, not a real-time ingestion service. Option E is wrong because DynamoDB is a NoSQL database, not a streaming ingestion service.
Variation 2. A company receives streaming clickstream data from its website. The data must be ingested with low latency and transformed in real time before being stored in Amazon S3. Which AWS service combination is most suitable for this use case?
easy- A.Amazon S3 with S3 Object Lambda
- ✓ B.Amazon Kinesis Data Streams with Amazon Kinesis Data Analytics
- C.Amazon Kinesis Data Firehose with AWS Lambda for transformation
- D.AWS Glue jobs triggered by Amazon S3 events
Why B: Amazon Kinesis Data Streams ingests streaming clickstream data with low latency, and Amazon Kinesis Data Analytics performs real-time transformations using SQL or Apache Flink. The processed data can then be stored in Amazon S3 via a Kinesis Data Firehose delivery stream, meeting the requirement for low-latency ingestion and real-time transformation.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.