DEA-C01 Data Operations and Support Practice Question
A team uses Amazon Kinesis Data Analytics to process streaming data. They notice that the application's output is delayed. Which AWS service can be used to monitor the application's performance and identify bottlenecks?
⚠ Common exam trap
It's easy for candidates to confuse observability services: candidates see 'monitor performance' and pick X-Ray or CloudTrail, but DEA-C01 expects you to know CloudWatch is the metrics/alarms backbone for Kinesis Data Analytics, while X-Ray is for request tracing and CloudTrail is for API auditing.
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 CloudWatch
Amazon CloudWatch is the native monitoring service for AWS resources and applications, and Kinesis Data Analytics (now Amazon Managed Service for Apache Flink) publishes metrics such as millisBehindLatest, KPU utilization, and input/output throughput directly to CloudWatch. These metrics let the team pinpoint whether the delay stems from input backlog, insufficient KPUs, or downstream sink throttling. CloudWatch alarms and dashboards then provide the operational visibility needed to remediate the bottleneck.
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 CloudTrail
Why it's wrong here
CloudTrail records API activity and management events for auditing who called what, exposing no Kinesis Data Analytics throughput, watermark or checkpoint metrics. It would be the right choice for security auditing; bottleneck diagnosis needs CloudWatch metrics for the application.
- ✓
Amazon CloudWatch
Why this is correct
Amazon CloudWatch collects Kinesis Data Analytics metrics such as millisBehindLatest, input/output records and processing time, exposing exactly where the pipeline stalls. Alarms and dashboards surface the bottleneck causing the output delay, satisfying the stem's requirement to monitor application performance.
- ✗
Amazon Athena
Why it's wrong here
Athena queries data held in Amazon S3 with SQL, so it cannot observe a running Kinesis Data Analytics application's throughput, latency or checkpointing. It would be the right choice for ad-hoc analysis of stored output, not live performance monitoring.
- ✗
AWS X-Ray
Why it's wrong here
X-Ray traces requests through distributed applications, revealing per-request latency and service maps, but it does not expose Kinesis Data Analytics operator-level throughput or watermark metrics. It would be the right choice for tracing microservice call paths, not for streaming application bottlenecks.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Amazon Web Services exam blueprint
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.