The answer is Amazon Kinesis Data Analytics for real-time analysis and AWS Lambda for automated response. This is correct because Kinesis Data Analytics can consume streaming VPC Flow Logs from CloudWatch Logs and apply SQL queries or Apache Flink to detect suspicious patterns in near real-time, while Lambda provides the serverless compute to trigger immediate remediation actions like modifying security groups or isolating compromised instances. On the AWS Certified Security Specialty SCS-C02 exam, this scenario tests your understanding of streaming analytics versus batch processing—a common trap is choosing Amazon Athena or OpenSearch Service, which are better suited for historical analysis, not sub-second threat detection. Remember the key distinction: if the requirement says “near real-time” and “streaming,” think Kinesis Data Analytics; if it says “query historical logs,” think Athena. A helpful mnemonic is “KAL for real-time, Athena for past-time.”
SCS-C02 Threat Detection and Incident Response Practice Question
This SCS-C02 practice question tests your understanding of threat detection and incident response. 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 company has a requirement to detect and respond to threats in near real-time by analyzing VPC Flow Logs. The logs are generated in a VPC and sent to CloudWatch Logs. What is the MOST efficient way to analyze these logs for suspicious patterns and trigger automated responses?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Amazon Kinesis Data Analytics for real-time analysis and AWS Lambda for automated response
Amazon Kinesis Data Analytics can process streaming VPC Flow Logs from CloudWatch Logs in near real-time using SQL or Apache Flink, enabling immediate detection of suspicious patterns. AWS Lambda can then be triggered to automate incident response actions, such as updating security groups or isolating instances, making this the most efficient solution for near real-time threat detection and response.
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.
✗
Stream logs to Amazon Elasticsearch Service and use Kibana alerts
Why it's wrong here
Elasticsearch ingestion introduces latency.
✗
Use S3 event notifications to trigger Lambda functions on new log files
Why it's wrong here
S3 events are not real-time due to log aggregation delays.
✗
Export logs to S3 and use Amazon Athena queries with scheduled rules
Why it's wrong here
Athena is for batch, not real-time.
✓
Use Amazon Kinesis Data Analytics for real-time analysis and AWS Lambda for automated response
Why this is correct
Kinesis Data Analytics can process streaming data and trigger Lambda for immediate action.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose batch-oriented solutions like Athena or S3 event notifications, overlooking the explicit 'near real-time' requirement in the question, which demands a streaming analytics approach.
Detailed technical explanation
How to think about this question
Kinesis Data Analytics uses a runtime environment that continuously reads from a Kinesis Data Streams or Kinesis Data Firehose source; in this scenario, a subscription filter in CloudWatch Logs can stream logs directly to Kinesis Data Firehose, which then feeds Kinesis Data Analytics. The analytics application can detect patterns like port scans or unusual traffic volumes using sliding windows, and output results to a Lambda function via a destination stream for immediate remediation. A real-world scenario is detecting a DDoS attack within seconds and automatically updating a network ACL to block the source IP.
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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Threat Detection and Incident Response — This question tests Threat Detection and Incident Response — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Amazon Kinesis Data Analytics for real-time analysis and AWS Lambda for automated response — Amazon Kinesis Data Analytics can process streaming VPC Flow Logs from CloudWatch Logs in near real-time using SQL or Apache Flink, enabling immediate detection of suspicious patterns. AWS Lambda can then be triggered to automate incident response actions, such as updating security groups or isolating instances, making this the most efficient solution for near real-time threat detection and response.
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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Question Discussion
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