PAS-C01 Operations and Maintenance Practice Question
A company runs SAP on AWS and uses a central syslog server to collect logs from all SAP instances. The operations team wants to use a managed AWS service to centralize log storage and enable real-time analysis. Which 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 CloudWatch Logs
Amazon CloudWatch Logs is a managed service that can aggregate logs from multiple Amazon EC2 instances and other sources, providing centralized storage and real-time monitoring and analysis. It is the most appropriate choice for this use case because it offers built-in log aggregation, real-time analysis with CloudWatch Logs Insights, and integration with AWS services. Amazon Athena (Option A) is an interactive query service for analyzing data in Amazon S3, not designed for real-time log ingestion from multiple sources. Amazon Kinesis Data Firehose (Option C) is a streaming data delivery service that can capture and load data into destinations like S3 or Redshift, but it requires additional setup for real-time analysis and is more complex for simple log centralization. Amazon S3 (Option D) is an object storage service that can store logs but does not natively provide real-time analysis capabilities.
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 Athena
Why it's wrong here
Amazon Athena is an interactive query service for analyzing data in S3, but it is not designed for real-time log ingestion and analysis from multiple sources. It requires logs to be stored in S3 first, adding latency.
- ✓
Amazon CloudWatch Logs
Why this is correct
Amazon CloudWatch Logs is a managed service that centralizes logs from multiple sources, enabling real-time monitoring and analysis with CloudWatch Logs Insights. It is the best fit for this requirement.
- ✗
Amazon Kinesis Data Firehose
Why it's wrong here
Kinesis Data Firehose is a streaming ingestion service that loads data into destinations like Amazon S3 or Redshift, but it lacks native real-time querying capabilities; the operations team requires immediate analysis of logs, which demands a service with built-in search and visualisation, such as Amazon OpenSearch Service. It is tempting because Firehose efficiently captures and transforms high-throughput log streams for batch storage, and would be correct if the goal were merely to archive logs to S3 for later analysis rather than enabling live, interactive exploration.
- ✗
Amazon S3
Why it's wrong here
Amazon S3 is an object storage service that can store logs, but it does not provide real-time analysis capabilities. It would require additional services like Athena or CloudWatch Logs for analysis.
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 |
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PAS-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 PAS-C01 exam.