Kinesis Data Analytics for Real-Time Streaming Transformation
A company is designing a new application that will process streaming data from IoT devices. They need to ingest data in real time and apply transformations before storing it in Amazon S3. Which AWS service should they use?
Quick Answer
The answer is Amazon Kinesis Data Analytics because the scenario explicitly requires applying transformations to streaming data in real time before landing it in Amazon S3. Kinesis Data Analytics, now part of Amazon Managed Service for Apache Flink, enables you to run SQL queries or Apache Flink applications directly against live data streams to perform filtering, aggregation, and enrichment, then output the transformed results to a destination like S3 via Kinesis Data Firehose. On the AWS Certified Solutions Architect Professional SAP-C02 exam, this question tests your ability to distinguish between raw ingestion services (Kinesis Data Streams) and transformation services; a common trap is choosing Kinesis Data Firehose alone, which can transform data but only with Lambda or simple format conversions, not the rich, stateful stream processing that Kinesis Data Analytics provides. Remember the key differentiator: if the requirement says “apply transformations” without specifying simple format changes, think Flink or SQL on the stream. A useful memory tip is “Analytics for active transforms, Firehose for passive delivery.”
⚠ Common exam trap
A common mix-up: candidates confuse Kinesis Data Firehose's ability to deliver data to S3 with the need for real-time transformations, overlooking that Firehose only supports basic transformations and not the complex, stateful stream processing that Kinesis Data Analytics provides.
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 (now part of Amazon Managed Service for Apache Flink) is the correct choice because the question explicitly requires applying transformations to streaming data in real time before storing it in Amazon S3. Kinesis Data Analytics allows you to run SQL or Apache Flink applications directly on streaming data to perform transformations, aggregations, and filtering, and then output the results to a destination like Amazon S3 via Kinesis Data Firehose.
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 loads data to destinations, but real-time transformations are limited.
- ✗
Amazon SQS
Why it's wrong here
SQS is a message queue, not a streaming analytics service.
- ✓
Amazon Kinesis Data Analytics
Why this is correct
Kinesis Data Analytics processes streaming data in real time.
- ✗
AWS Lambda
Why it's wrong here
Lambda can process data but is not purpose-built for streaming analytics.
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 |
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Same concept, more angles
1 more way this is tested on SAP-C02
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 new application that will process streaming data from IoT devices. The data must be processed in real time and then stored in Amazon S3 for long-term analytics. Which combination of AWS services should be used?
easy- A.Amazon Kinesis Data Firehose, Amazon Redshift
- B.Amazon SQS, AWS Lambda, Amazon RDS
- C.AWS IoT Core, Amazon DynamoDB
- ✓ D.Amazon Kinesis Data Streams, AWS Lambda, Amazon S3
Why D: Amazon Kinesis Data Streams ingests and buffers streaming IoT data in real time, AWS Lambda processes each record as it arrives, and the processed data is written directly to Amazon S3 for durable long-term analytics. This combination provides the low-latency, serverless pipeline required for real-time processing and S3-based storage.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SAP-C02 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 SAP-C02 exam.