SOA-C02 Monitoring, Logging, and Remediation Practice Question
A company wants to visualize the geographic distribution of failed login attempts to their web application. The application runs on EC2 instances behind an ALB. They have access logs enabled for the ALB. Which service should be used to create the visualization?
⚠ Common exam trap
Watch out — candidates often confuse data querying (Athena) with data visualization (QuickSight), or assume CloudWatch can handle geospatial log analysis, when in fact QuickSight is the only option that natively provides interactive geospatial dashboards from S3 data.
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 QuickSight with S3 as a data source.
Amazon QuickSight is a fully managed business intelligence service that can directly query ALB access logs stored in Amazon S3, enabling the creation of geospatial visualizations (e.g., heat maps) of failed login attempts. ALB access logs are delivered to S3 in a structured format, and QuickSight can parse and visualize this data without additional processing. This makes QuickSight with S3 as a data source the correct choice for building the required geographic visualization.
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 Dashboard with a custom widget.
Why it's wrong here
Amazon CloudWatch Dashboards are designed for real-time operational monitoring—they display metrics, logs, and alarms in widgets but do not include native map or geospatial chart types. A custom widget would require you to build and host your own HTML/JavaScript application that renders a map, and it still cannot integrate ALB access log data as easily as a business intelligence service.
- ✗
Amazon Kinesis Data Analytics with a Lambda function.
Why it's wrong here
Amazon Kinesis Data Analytics is a real-time stream processing engine that runs SQL or Apache Flink applications to transform or analyze live data, not to produce user-facing visualizations. A Lambda function could invoke a data transformation or perhaps trigger a visualization, but the combination does not provide a geospatial dashboard; it would be an over-engineered and incomplete solution for static log files stored in S3.
- ✗
Amazon S3 Select with Athena.
Why it's wrong here
Amazon S3 Select is a simple scanning and filtering tool that retrieves subsets of objects, while Amazon Athena is an interactive query service that returns tabular results—neither service renders charts, maps, or graphical dashboards. These tools are appropriate for extracting or querying the data that a visualization tool would consume, but they cannot directly present the geographic distribution of ALB access logs as a map.
- ✓
Amazon QuickSight with S3 as a data source.
Why this is correct
Amazon QuickSight is a fully managed business intelligence service that supports geospatial chart types such as point maps and heat maps, and it can connect directly to data stored in Amazon S3—either through native S3 ingestion or by querying with Athena. With QuickSight, you can prepare and visualize ALB access logs by plotting fields like client IPs or derived location attributes (country, city, or coordinates) to show geographic distribution through an interactive dashboard.
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 |
Go deeper
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SOA-C02 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 SOA-C02 exam.