This SAA-C03 practice question tests your understanding of design high-performing architectures. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. A key principle to apply: kinesis Data Streams supports real-time processing of streaming data.. 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 design must avoid adding custom operational scripts.
Amazon Kinesis Data Streams
Kinesis Data Streams supports high-throughput event ingestion with multiple consumers reading from the stream.
AWS DataSync
Why wrong: DataSync transfers files and object data, not live event streams.
Amazon EBS
Why wrong: EBS is block storage for EC2 and not a multi-consumer event stream.
Amazon Route 53
Why wrong: Route 53 is DNS and does not process event records.
Answer choices
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 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.
Key principle: Kinesis Data Streams supports real-time processing of streaming data.
Answer analysis
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 supports real-time processing of streaming data.
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
The trap here is that candidates may confuse AWS DataSync or EBS as viable for streaming data, but DataSync is for batch file transfers and EBS is for block storage, neither supporting real-time, multi-consumer event processing.
Detailed technical explanation
Kinesis Data Streams uses shards as the base throughput unit, each supporting up to 1 MB/s or 1,000 records/s for writes and 2 MB/s for reads. With enhanced fan-out, each consumer gets a dedicated 2 MB/s read throughput per shard, eliminating contention and enabling low-latency processing for multiple consumers. In a real-world telemetry pipeline, this allows a real-time dashboard consumer and a long-term analytics consumer to process the same click events simultaneously without custom scripting.
Key takeaway
Kinesis Data Streams supports real-time processing of streaming data.
Real-world example
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 supports real-time processing of streaming data. 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
Review kinesis Data Streams supports real-time processing of streaming data., then practise related SAA-C03 questions on the same topic to reinforce the concept.
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FAQ
Design High-Performing Architectures — This question tests Design High-Performing Architectures — Kinesis Data Streams supports real-time processing of streaming data..
The correct answer is: Amazon Kinesis Data Streams — 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.
Review kinesis Data Streams supports real-time processing of streaming data., then practise related SAA-C03 questions on the same topic to reinforce the concept.
Kinesis Data Streams supports real-time processing of streaming data.
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Last reviewed: Jun 11, 2026
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