- A
Deploy a Fluent Bit DaemonSet on the EKS cluster and configure it to send logs to Amazon CloudWatch Logs.
Fluent Bit is a lightweight, agentless log processor that can be deployed as a DaemonSet and supports multi-line logs.
- B
Use the Amazon CloudWatch agent as a sidecar container in each pod to forward logs to CloudWatch Logs.
Why wrong: Sidecar pattern is not agentless because it requires a separate container.
- C
Install the Amazon Kinesis Agent on each EC2 instance and configure it to stream logs to Amazon Kinesis Data Firehose.
Why wrong: Kinesis Agent is not designed for containerized environments and is not agentless.
- D
Deploy a Fluentd DaemonSet on the EKS cluster and configure it to send logs to Amazon S3.
Why wrong: Fluentd is a logging agent, not agentless.
Quick Answer
The correct approach is to deploy a Fluent Bit DaemonSet on the EKS cluster and configure it to send logs to Amazon CloudWatch Logs. This solution meets the agentless requirement because Fluent Bit runs as a DaemonSet on each node, collecting container logs without needing sidecar containers per pod, and it natively handles multi-line log events through its multiline filter plugin, which is critical for stack traces or application errors. On the AWS Certified DevOps Engineer Professional DOP-C02 exam, this scenario tests your understanding of lightweight, CNCF-graduated log processors versus heavier sidecar-based solutions like Filebeat or custom agents. A common trap is choosing a sidecar approach, which violates the agentless constraint, or overlooking Fluent Bit’s native CloudWatch output plugin. Remember the memory tip: “DaemonSet for agentless, multiline via filter” — Fluent Bit runs once per node, not per pod, making it the efficient choice for centralized EKS container logging.
DOP-C02 Monitoring and Logging Practice Question
This DOP-C02 practice question tests your understanding of monitoring and logging. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. 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 DevOps team is implementing a comprehensive logging strategy for a microservices architecture running on Amazon EKS. They need to collect logs from all containers and send them to a centralized log analytics platform. The solution must be agentless and support multi-line log events. Which approach should the team use?
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
Deploy a Fluent Bit DaemonSet on the EKS cluster and configure it to send logs to Amazon CloudWatch Logs.
Option A is correct because Fluent Bit is a lightweight, CNCF-graduated log processor that can be deployed as a DaemonSet on EKS to collect logs from all nodes without requiring sidecar containers. It supports multi-line log events natively via its multiline filter plugin, and it can output directly to Amazon CloudWatch Logs using the cloudwatch_logs output plugin, meeting the agentless requirement since it runs as a Kubernetes DaemonSet rather than as a per-pod sidecar.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Deploy a Fluent Bit DaemonSet on the EKS cluster and configure it to send logs to Amazon CloudWatch Logs.
Why this is correct
Fluent Bit is a lightweight, agentless log processor that can be deployed as a DaemonSet and supports multi-line logs.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the Amazon CloudWatch agent as a sidecar container in each pod to forward logs to CloudWatch Logs.
Why it's wrong here
Sidecar pattern is not agentless because it requires a separate container.
- ✗
Install the Amazon Kinesis Agent on each EC2 instance and configure it to stream logs to Amazon Kinesis Data Firehose.
Why it's wrong here
Kinesis Agent is not designed for containerized environments and is not agentless.
- ✗
Deploy a Fluentd DaemonSet on the EKS cluster and configure it to send logs to Amazon S3.
Why it's wrong here
Fluentd is a logging agent, not agentless.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'agentless' with 'no software at all,' but in Kubernetes, agentless means no sidecar injection per pod; a DaemonSet is considered agentless because it runs as a cluster-level service, not as part of the application deployment.
Detailed technical explanation
How to think about this question
Fluent Bit's multiline support works by using a state machine parser (e.g., 'multiline.parser' with 'docker', 'cri', or 'java' modes) to combine log lines that belong to the same event, such as stack traces. The DaemonSet deployment ensures one Fluent Bit pod per node, which collects logs from all containers on that node via the container runtime interface (e.g., Docker or containerd log files), making it truly agentless from the application perspective. In real-world scenarios, this approach scales efficiently for clusters with hundreds of nodes because Fluent Bit uses minimal CPU and memory (typically <10 MB per pod).
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
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
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DOP-C02 question test?
Monitoring and Logging — This question tests Monitoring and Logging — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Deploy a Fluent Bit DaemonSet on the EKS cluster and configure it to send logs to Amazon CloudWatch Logs. — Option A is correct because Fluent Bit is a lightweight, CNCF-graduated log processor that can be deployed as a DaemonSet on EKS to collect logs from all nodes without requiring sidecar containers. It supports multi-line log events natively via its multiline filter plugin, and it can output directly to Amazon CloudWatch Logs using the cloudwatch_logs output plugin, meeting the agentless requirement since it runs as a Kubernetes DaemonSet rather than as a per-pod sidecar.
What should I do if I get this DOP-C02 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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