DEA-C01 Data Ingestion and Transformation Practice Question
A data engineering team is designing a data ingestion pipeline for a social media analytics platform. The pipeline must handle up to 100,000 events per second with less than 1 second processing latency. Which TWO services should be used together to meet these requirements?
⚠ Common exam trap
Many exam-takers confuse Kinesis Data Firehose (near-real-time, buffered delivery) with Kinesis Data Streams (real-time, unbuffered ingestion), or assume AWS Glue streaming ETL can achieve sub-second latency when it is actually optimized for micro-batch processing with higher overhead.
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 Analytics for Apache Flink
Amazon Kinesis Data Streams (Option E) is designed for real-time data ingestion at scale, supporting up to 1,000 records per second per shard with sub-second latency, making it suitable for 100,000 events per second when provisioned with sufficient shards. Amazon Kinesis Data Analytics for Apache Flink (Option D) can consume data directly from Kinesis Data Streams and perform low-latency stream processing (e.g., aggregations, filtering) with exactly-once semantics, meeting the <1 second processing latency requirement. Together, they form a fully managed, scalable pipeline for high-throughput, low-latency streaming analytics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS Glue streaming ETL
Why it's wrong here
Glue streaming ETL has higher latency than Flink.
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Firehose has buffering latency, typically 60 seconds.
- ✗
Amazon SQS
Why it's wrong here
SQS is a message queue, not designed for high-throughput streaming with sub-second latency.
- ✓
Amazon Kinesis Data Analytics for Apache Flink
Why this is correct
Flink can process streaming data with sub-second latency.
- ✓
Amazon Kinesis Data Streams
Why this is correct
Kinesis Data Streams can ingest 100,000 events/sec with low latency.
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