SAP-C02 Design for New Solutions Practice Question
A data analytics company is building a real-time streaming pipeline using Amazon Kinesis Data Streams. The data is consumed by multiple consumer applications, each with different processing requirements. The company wants to ensure that each consumer can process records independently without affecting others and can reprocess data from a specific point in time. Which feature should the company use?
⚠ Common exam trap
Watch out — candidates often confuse checkpointing (which manages consumer state but not throughput isolation) with Enhanced Fan-Out (which provides dedicated throughput and independent consumption), leading them to select the KCL with checkpointing option instead.
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
✓
Use Enhanced Fan-Out with a timestamp to start reading.
Enhanced Fan-Out (EFO) provides each consumer with a dedicated 2 MB/second read throughput per shard, ensuring independent processing without contention. By using the SubscribeToShard API with a starting position specified via a timestamp, consumers can reprocess data from a specific point in time, meeting the requirement exactly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Use Enhanced Fan-Out with a timestamp to start reading.
Why this is correct
Enhanced Fan-Out provides dedicated throughput per consumer and supports starting from a specific timestamp.
- ✗
Increase the data retention period to 365 days.
Why it's wrong here
Longer retention allows reprocessing but does not give independent throughput.
- ✗
Use resharding to increase the number of shards.
Why it's wrong here
Resharding changes shard count but does not provide independent processing or time-based reprocessing.
- ✗
Use the Kinesis Client Library (KCL) with checkpointing.
Why it's wrong here
KCL manages checkpoints but does not provide dedicated throughput per consumer or easy time-based reprocessing.
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