- A
Amazon Kinesis Data Streams
Kinesis Data Streams supports high-throughput event ingestion with multiple consumers reading from the stream.
- B
AWS DataSync
Why wrong: DataSync transfers files and object data, not live event streams.
- C
Amazon EBS
Why wrong: EBS is block storage for EC2 and not a multi-consumer event stream.
- D
Amazon Route 53
Why wrong: Route 53 is DNS and does not process event records.
Quick Answer
Amazon Kinesis Data Streams is the correct choice because it is a fully managed, AWS-native service designed for high-volume streaming data with multiple consumers. Its enhanced fan-out feature gives each consumer a dedicated 2 MB/sec read throughput per shard, eliminating contention when processing the same stream of click events independently. On the SAA-C03 exam, this scenario tests your understanding of real-time ingestion patterns versus batch-oriented services like SQS or Kinesis Data Firehose—a common trap is choosing SQS for streaming, but SQS is pull-based and lacks the shard-level parallelism needed for concurrent consumers. Remember the memory tip: “Fan-out for fan-out” — enhanced fan-out is the key when multiple consumers need their own lane on the same data highway.
SAA-C03 Design High-Performing Architectures Practice Question
This SAA-C03 practice question tests your understanding of design high-performing architectures. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. A key principle to apply: kinesis Data Streams is a real-time data streaming service.. 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 high-volume telemetry pipeline writes streaming click events that must be processed by multiple independent consumers. Which service is most appropriate? The architecture review board prefers a managed AWS-native control.
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
Amazon Kinesis Data Streams is the correct choice because it is a fully managed, AWS-native service designed for real-time streaming data ingestion and processing. It supports multiple independent consumers via enhanced fan-out, which provides each consumer with a dedicated throughput of up to 2 MB/sec per shard, ensuring that high-volume click events can be processed concurrently without contention.
Key principle: Kinesis Data Streams is a real-time data streaming service.
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 Streams
Why this is correct
Kinesis Data Streams supports high-throughput event ingestion with multiple consumers reading from the stream.
Related concept
Kinesis Data Streams is a real-time data streaming service.
- ✗
AWS DataSync
Why it's wrong here
DataSync transfers files and object data, not live event streams.
- ✗
Amazon EBS
Why it's wrong here
EBS is block storage for EC2 and not a multi-consumer event stream.
- ✗
Amazon Route 53
Why it's wrong here
Route 53 is DNS and does not process event records.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing batch data transfer services (DataSync) or storage services (EBS) with real-time streaming, leading candidates to overlook Kinesis Data Streams' native support for multiple independent consumers via enhanced fan-out.
Detailed technical explanation
How to think about this question
Kinesis Data Streams uses shards as the base throughput unit; each shard supports 1 MB/sec write and 2 MB/sec read, with a record retention period of up to 365 days. Enhanced fan-out uses HTTP/2 push to deliver records to each consumer with a dedicated 2 MB/sec read throughput per shard, eliminating the need for polling and reducing latency. In a high-volume telemetry pipeline, this allows multiple independent consumers—such as real-time analytics, anomaly detection, and archival—to process the same stream simultaneously without throttling.
KKey Concepts to Remember
- Kinesis Data Streams is a real-time data streaming service.
- It supports multiple independent consumers reading from the same stream.
- Data is stored for a configurable retention period (default 24 hours, up to 365 days).
- It is fully managed and scales automatically with data volume.
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
Kinesis Data Streams is a real-time data streaming service.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Kinesis Data Streams is a real-time data streaming service. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Review kinesis Data Streams is a real-time data streaming service., then practise related SAA-C03 questions on the same topic to reinforce the concept.
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FAQ
Questions learners often ask
What does this SAA-C03 question test?
Design High-Performing Architectures — This question tests Design High-Performing Architectures — Kinesis Data Streams is a real-time data streaming service..
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Streams — Amazon Kinesis Data Streams is the correct choice because it is a fully managed, AWS-native service designed for real-time streaming data ingestion and processing. It supports multiple independent consumers via enhanced fan-out, which provides each consumer with a dedicated throughput of up to 2 MB/sec per shard, ensuring that high-volume click events can be processed concurrently without contention.
What should I do if I get this SAA-C03 question wrong?
Review kinesis Data Streams is a real-time data streaming service., then practise related SAA-C03 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Kinesis Data Streams is a real-time data streaming service.
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Same concept, more angles
2 more ways this is tested on SAA-C03
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 high-volume telemetry pipeline writes streaming click events that must be processed by multiple independent consumers. Which service is most appropriate?
medium- ✓ A.Amazon Kinesis Data Streams
- B.AWS DataSync
- C.Amazon EBS
- D.Amazon Route 53
Why A: Amazon Kinesis Data Streams is the most appropriate service because it is designed for real-time streaming data ingestion and processing. It can capture and store terabytes of data per hour from hundreds of thousands of sources, such as click events, and allows multiple independent consumers to read and process the same stream concurrently using the Kinesis Client Library (KCL) or enhanced fan-out with dedicated throughput.
Variation 2. A high-volume telemetry pipeline writes streaming click events that must be processed by multiple independent consumers. Which service is most appropriate? The design must avoid adding custom operational scripts.
medium- ✓ A.Amazon Kinesis Data Streams
- B.AWS DataSync
- C.Amazon EBS
- D.Amazon Route 53
Why A: Amazon Kinesis Data Streams is designed for real-time streaming of high-volume data, such as click events, and allows multiple independent consumers to process the same stream concurrently via enhanced fan-out or shared throughput. It provides durable, ordered data retention and integrates with AWS Lambda, Kinesis Data Analytics, and Kinesis Data Firehose without requiring custom operational scripts.
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Last reviewed: Jun 11, 2026
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