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NEW QUESTION # 127
A company has decided to move its fleet of Linux-based web server instances to an Amazon EC2 Auto Scaling group. Currently, the instances are static and are launched manually. When an administrator needs to view log files, the administrator uses SSH to establish a connection to the instances and retrieves the logs manually.
The company often needs to query the logs to produce results about application sessions and user issues. The company does not want its new automatically scaling architecture to result in the loss of any log files when instances are scaled in.
Which combination of steps should a security engineer take to meet these requirements MOST cost- effectively? (Select TWO.)
Answer: C,E
Explanation:
Amazon CloudWatch Logs is designed to collect, store, and analyze log data from ephemeral compute resources such as EC2 instances in Auto Scaling groups. According to the AWS Certified Security - Specialty Study Guide, using the CloudWatch agent to stream logs off instances ensures log durability even when instances are terminated during scale-in events.
CloudWatch Logs Insights provides a fully managed, serverless query engine that enables ad hoc querying, filtering, and aggregation of log data without requiring additional infrastructure. This directly satisfies the requirement to query logs for application sessions and user troubleshooting.
Option A introduces operational risk because logs could be lost between cron executions. Option B requires additional services and data pipelines, increasing cost and complexity. Option E adds storage cost and management overhead and is not necessary for log analytics.
AWS best practices recommend CloudWatch Logs and Logs Insights as the most cost-effective and scalable solution for centralized log retention and analysis in Auto Scaling environments.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon CloudWatch Logs and Logs Insights
AWS Logging Best Practices
NEW QUESTION # 128
A company uses Amazon API Gateway to present REST APIs to users. An API developer wants to analyze API access patterns without the need to parse the log files.
Which combination of steps will meet these requirements with the LEAST effort? (Choose two.)
Answer: A,B
Explanation:
To analyze API access patterns with minimal effort andwithout parsing raw log files, the best approach is to rely onmetricsand built-in query tooling. EnablingDetailed CloudWatch Metricsfor an API Gateway stage (Option E) provides near-real-time, aggregated visibility into usage and performance patterns (such as request counts, latency, error rates like 4XX/5XX) that are ideal for identifying trends and spikes without handling logs.
For deeper pattern exploration when needed,CloudWatch Logs Insights(Option D) provides an interactive query experience over logs that are already in CloudWatch Logs, allowing quick filtering and aggregation. In practice, developers use metrics to understand access patterns at a high level and Logs Insights to slice and dice request data without building a separate parsing pipeline.
NEW QUESTION # 129
A company runs a public web application on Amazon EKS behind Amazon CloudFront and an Application Load Balancer (ALB). A security engineer must send a notification to an existing Amazon SNS topic when the application receives 10,000 requests from the same end-user IP address within any 5-minute period.
Which solution will meet these requirements?
Answer: D
Explanation:
AWS WAF rate-based rules are designed specifically to track the number of requests from a single IP address over a configurable time window. According to AWS Certified Security - Specialty guidance, rate-based rules integrate natively with CloudFront and emit CloudWatch metrics that can trigger alarms.
CloudFront logs and VPC Flow Logs are not real-time detection tools. ASN match rules do not count request rates.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS WAF Rate-Based Rules
CloudFront and AWS WAF Integration
NEW QUESTION # 130
A security engineer uses Amazon Macie to scan a company ' s Amazon S3 buckets for sensitive data. The company has many S3 buckets and many objects stored in the S3 buckets. The security engineer must identify S3 buckets that contain sensitive data and must perform additional scanning on those S3 buckets.
Which solution will meet these requirements with the LEAST administrative overhead?
Answer: C
Explanation:
Amazon Macie'sautomated sensitive data discoveryis designed for exactly this: at scale, Macie continuously evaluates andsamplesobjects across S3 buckets to identify where sensitive data (PII, financial data, credentials, etc.) is likely present. This gives the security engineer a low-touch way toidentify which buckets contain sensitive datawithout having to orchestrate per-bucket scanning workflows. Once Macie flags buckets with sensitive data findings, the engineer can then prioritize and runadditional, more targeted scanning(for example, deeper classification jobs on those specific buckets) rather than scanning everything exhaustively all the time.
The other options increase operational burden significantly. CRR to another Region (A) doubles storage
/transfer complexity and is not needed for discovery. An event-driven Lambda scan per object (B) is expensive and complex at high object volumes and is not how Macie classification is intended to be orchestrated. Aggregating results into DynamoDB (D) adds an extra system to maintain when Macie already provides centralized findings, dashboards, and integrations.
Therefore, enabling Macie automated discovery and then performing deeper scans only on buckets where Macie detects sensitive data provides the least administrative overhead.
NEW QUESTION # 131
A company needs the ability to identify the root cause of security findings in an AWS account. The company has enabled VPC Flow Logs, Amazon GuardDuty, and AWS CloudTrail. The company must investigate any IAM roles that are involved in the security findings and must visualize the findings.
Which solution will meet these requirements?
Answer: D
Explanation:
Amazon Detective is a managed service designed specifically toinvestigate and analyze security findingsby automatically correlating data from Amazon GuardDuty, AWS CloudTrail, and VPC Flow Logs. According to the AWS Certified Security - Specialty Official Study Guide, Detective enables security teams to identify root causes, anomalous behavior, and indicators of compromisethrough interactive visualizations.
Amazon Detective allows investigators to pivot directly toIAM roles, users, and resources that are involved in GuardDuty findings. Detective builds behavior graphs and timelines that show API activity, network traffic, and historical context, making it easier to understand how and why a security incident occurred.
Amazon Inspector (Option B) focuses on vulnerability scanning of compute resources and does not investigate IAM behavior. Option C requires manual analysis and lacks native visualization. AWS Security Hub (Option D) aggregates findings but does not perform root-cause investigation or behavioral analysis.
AWS documentation explicitly states thatAmazon Detective is the recommended service for deep-dive investigations following GuardDuty alerts, especially when IAM roles are involved.
* AWS Certified Security - Specialty Official Study Guide
* Amazon Detective User Guide
* Amazon GuardDuty Integration Documentation
NEW QUESTION # 132
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