- A
Amazon CloudWatch Logs Insights
Why wrong: CloudWatch Logs Insights is for querying, not routing.
- B
Amazon CloudWatch Logs subscription filters with AWS Lambda
Why wrong: This can transform logs but is not ideal for multiple destinations.
- C
Amazon Kinesis Data Streams combined with Amazon Kinesis Data Firehose
Kinesis Data Streams ingests real-time data, and Firehose can deliver to multiple destinations.
- D
Amazon S3 with S3 Event Notifications
Why wrong: S3 is not a real-time processing service.
Question 219 of 1,748
SCS-C02 Security Logging and Monitoring Practice Question
This SCS-C02 practice question tests your understanding of security logging and monitoring. 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. 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 security team wants to collect and analyze logs from multiple AWS services including CloudTrail, VPC Flow Logs, and AWS WAF. They need a centralized solution that can filter, transform, and route logs to multiple destinations in near real-time. Which AWS service should they 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
✓
Amazon Kinesis Data Streams combined with Amazon Kinesis Data Firehose
Amazon Kinesis Data Streams combined with Amazon Kinesis Data Firehose is the correct choice because it provides a fully managed, scalable, and near real-time pipeline for collecting, filtering, transforming, and routing logs from multiple AWS services (CloudTrail, VPC Flow Logs, WAF) to multiple destinations such as Amazon S3, Amazon Redshift, or Amazon Elasticsearch Service. Kinesis Data Streams captures and stores the data stream, while Kinesis Data Firehose can invoke AWS Lambda for transformation and reliably deliver the processed logs to the specified sinks, meeting the requirement for centralized, near real-time log processing.
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.
- ✗
Amazon CloudWatch Logs Insights
Why it's wrong here
CloudWatch Logs Insights is for querying, not routing.
- ✗
Amazon CloudWatch Logs subscription filters with AWS Lambda
Why it's wrong here
This can transform logs but is not ideal for multiple destinations.
- ✓
Amazon Kinesis Data Streams combined with Amazon Kinesis Data Firehose
Why this is correct
Kinesis Data Streams ingests real-time data, and Firehose can deliver to multiple destinations.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Amazon S3 with S3 Event Notifications
Why it's wrong here
S3 is not a real-time processing service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon CloudWatch Logs subscription filters with Lambda as a simple routing solution, but they overlook the requirement for multiple destinations and near real-time transformation, which Kinesis Data Streams and Firehose handle natively with built-in buffering, retry logic, and Lambda integration.
Detailed technical explanation
How to think about this question
Under the hood, Kinesis Data Streams partitions data into shards, each providing a fixed capacity (1 MB/s write, 2 MB/s read per shard) for real-time ingestion, while Kinesis Data Firehose can automatically buffer incoming data (default 60 seconds or 1 MB) and invoke a Lambda function for transformation before delivering to destinations like S3, Redshift, or Elasticsearch via HTTP endpoints. A subtle behavior is that Kinesis Data Firehose does not support multiple destinations per delivery stream natively; to route to multiple sinks, you must configure separate Firehose streams or use a Lambda function to fan out data, which is a common real-world pattern for centralized log aggregation.
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.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this SCS-C02 question test?
Security Logging and Monitoring — This question tests Security Logging and Monitoring — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Kinesis Data Streams combined with Amazon Kinesis Data Firehose — Amazon Kinesis Data Streams combined with Amazon Kinesis Data Firehose is the correct choice because it provides a fully managed, scalable, and near real-time pipeline for collecting, filtering, transforming, and routing logs from multiple AWS services (CloudTrail, VPC Flow Logs, WAF) to multiple destinations such as Amazon S3, Amazon Redshift, or Amazon Elasticsearch Service. Kinesis Data Streams captures and stores the data stream, while Kinesis Data Firehose can invoke AWS Lambda for transformation and reliably deliver the processed logs to the specified sinks, meeting the requirement for centralized, near real-time log processing.
What should I do if I get this SCS-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: Jul 4, 2026
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