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 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 analytics dashboard 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 Route 53
Why wrong: Route 53 is DNS and does not process event records.
Amazon EBS
Why wrong: EBS is block storage for EC2 and not a multi-consumer event stream.
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.
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 the correct choice because it is designed for real-time streaming data ingestion and processing by multiple independent consumers. Each consumer can read from the stream at its own pace using its own shard iterator, enabling parallel processing of click events without custom scripts. This aligns with the requirement for a high-volume analytics dashboard where multiple downstream applications need to consume the same stream independently.
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 Route 53
Why it's wrong here
Route 53 is DNS and does not process event records.
Amazon EBS
Why it's wrong here
EBS is block storage for EC2 and not a multi-consumer event stream.
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.
Common exam traps
The trap here is that candidates may confuse Kinesis Data Streams with Kinesis Data Firehose, but Firehose delivers data to a single destination and does not support multiple independent consumers natively.
Detailed technical explanation
Kinesis Data Streams uses shards to partition data, each providing a fixed capacity of 1 MB/s write and 2 MB/s read per shard. Consumers use the Kinesis Client Library (KCL) to manage shard leases and checkpointing via DynamoDB, enabling exactly-once processing semantics. In a real-world scenario, a dashboard might have one consumer for real-time aggregation and another for archival to S3, both reading from the same stream without interference.
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 the correct choice because it is designed for real-time streaming data ingestion and processing by multiple independent consumers. Each consumer can read from the stream at its own pace using its own shard iterator, enabling parallel processing of click events without custom scripts. This aligns with the requirement for a high-volume analytics dashboard where multiple downstream applications need to consume the same stream independently.
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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