SAP-C02 Design for New Solutions Practice Question
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?
⚠ Common exam trap
Candidates often confuse Kinesis Data Firehose (which delivers near-real-time batches) with Kinesis Data Streams (which enables per-record real-time processing), leading them to pick Option A despite its lack of a real-time processing component.
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 Streams, AWS Lambda, Amazon S3
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.
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, Amazon Redshift
Why it's wrong here
Firehose can deliver to S3 but Redshift is for analytics, not storage.
- ✗
Amazon SQS, AWS Lambda, Amazon RDS
Why it's wrong here
SQS is not for real-time streaming; RDS is not for analytics.
- ✗
AWS IoT Core, Amazon DynamoDB
Why it's wrong here
DynamoDB is not for long-term analytics storage.
- ✓
Amazon Kinesis Data Streams, AWS Lambda, Amazon S3
Why this is correct
Real-time ingestion, processing, and storage.
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
Related to this question
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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 ingested in real-time and stored in Amazon S3 for long-term analytics. Which AWS service should be used to ingest the streaming data?
easy- A.Amazon Simple Notification Service (SNS)
- B.Amazon Simple Queue Service (SQS)
- C.AWS Database Migration Service (DMS)
- ✓ D.Amazon Kinesis Data Streams
Why D: Amazon Kinesis Data Streams is designed for real-time data ingestion and can stream data directly to Amazon S3. Option A is wrong because SNS is a pub/sub messaging service, not intended for real-time data ingestion. Option B is wrong because SQS is a message queue service, not optimized for streaming ingestion. Option C is wrong because AWS DMS is used for database migration, not for ingesting streaming data.
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.