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NEW QUESTION # 92
A company is investigating an increase in its AWS monthly bill. The company discovers that bad actors compromised some Amazon EC2 instances and served webpages for a large email phishing campaign. A security engineer must implement a solution to monitor for cost increases in the future to help detect malicious activity.
Which solution will offer the company the EARLIEST detection of cost increases?
Answer: B
Explanation:
For the earliest detection of abnormal spend, the most direct and purpose-built capability isAWS Cost Anomaly Detection. It continuously evaluates spend patterns and uses machine learning to identify unexpected cost increases soon after they begin, then sends alerts based on the configured thresholds. By creating acost monitor(for example, for linked accounts, services, or cost categories) and configuring an alert to publish toSNS, the security team can receive near- real-time notifications when costs deviate beyond an expected baseline. This is well suited for detecting compromise-driven spend (such as abused EC2 instances serving phishing pages, crypto-mining, or data exfiltration patterns that raise transfer costs).
NEW QUESTION # 93
A company's data scientists want to create artificial intelligence and machine learning (AI/ML) training models by using Amazon SageMaker. The training models will use large datasets in an Amazon S3 bucket.
The datasets contain sensitive information.
On average, the data scientists need 30 days to train models. The S3 bucket has been secured appropriately.
The company's data retention policy states that all data that is older than 45 days must be removed from the S3 bucket.
Which action should a security engineer take to enforce this data retention policy?
Answer: D
Explanation:
Amazon S3 Lifecycle rules provide anative, fully managed mechanismto automatically transition or delete objects based on their age. According to the AWS Certified Security - Specialty Official Study Guide, S3 Lifecycle policies are therecommended and most secure methodfor enforcing data retention requirements because they operate automatically, consistently, and without custom code.
By configuring a lifecycle rule to delete objects after 45 days, the company ensures that sensitive datasets are retained long enough to support the 30-day model training process while remaining compliant with the data retention policy. Lifecycle rules are enforced by Amazon S3 itself and apply uniformly to all objects in the bucket or to objects that match specific prefixes or tags.
Option B and Option C introduce unnecessary operational complexity and risk by relying on custom Lambda code and scheduling. These approaches are more error-prone, harder to audit, and less reliable than a built-in S3 capability. Option D is incorrect because S3 Intelligent-Tiering manages storage cost optimization and does not delete data.
AWS documentation explicitly states thatS3 Lifecycle rules are the standard control for enforcing retention and deletion policies, particularly for sensitive data stored at scale.
* AWS Certified Security - Specialty Official Study Guide
* Amazon S3 Lifecycle Configuration Documentation
* AWS Data Protection Best Practices
NEW QUESTION # 94
A company is planning to migrate its applications to AWS in a single AWS Region. The company's applications will use a combination of Amazon EC2 instances, Elastic Load Balancing (ELB) load balancers, and Amazon S3 buckets. The company wants to complete the migration as quickly as possible. All the applications must meet the following requirements:
- Data must be encrypted at rest.
- Data must be encrypted in transit.
- Endpoints must be monitored for anomalous network traffic.
Which combination of steps should a security engineer take to meet these requirements with the LEAST effort? (Select THREE.)
Answer: B,C,E
Explanation:
Amazon GuardDuty provides continuous monitoring for anomalous and malicious network activity by analyzing VPC Flow Logs, DNS logs, and CloudTrail events. Enabling GuardDuty across accounts requires minimal configuration and immediately satisfies the requirement to monitor endpoints for anomalous network traffic, as described in the AWS Certified Security - Specialty Study Guide.
Encrypting data in transit for applications behind Elastic Load Balancing is most efficiently achieved by using AWS Certificate Manager (ACM). ACM provisions and manages TLS certificates automatically, and integrating ACM with ELB enables encrypted communication without manual certificate management.
For encryption at rest in Amazon S3, AWS best practices recommend enforcing server-side encryption using AWS KMS. An S3 bucket policy that denies PutObject requests unless the x- amz- server-side-encryption condition is present ensures that all uploaded objects are encrypted at rest using KMS-managed keys. This provides strong encryption guarantees with minimal operational effort.
Option A is unnecessary because Amazon Inspector focuses on vulnerability assessment, not encryption or network anomaly detection. Option C adds network complexity and is not required to meet the stated requirements. Option E is incorrect because x-amz-meta-side-encryption is not a valid enforcement mechanism.
NEW QUESTION # 95
A security engineer needs to configure DDoS protection for a Network Load Balancer (NLB) with an Elastic IP address. The security engineer wants to set up an AWS WAF web ACL with a rate-based rule statement to protect the NLB.
The security engineer needs to determine a rate limit that will not block legitimate traffic. The security engineer has configured the rule statement to aggregate based on the source IP address.
How should the security engineer configure the rule to protect the NLB?
Answer: B
Explanation:
AWS WAF rate-based rules are designed to help protect applications and resources fromtraffic floods and application-layer DDoS attacksby tracking the number of requests from individual source IP addresses over a rolling time window. According to the AWS Certified Security - Specialty Official Study Guide and AWS WAF documentation, rate-based rules can be configured with different actions, includingCount,Block, and Allow.
When a security engineer is determining an appropriate rate limit that will not block legitimate traffic, AWS best practices recommend initially configuring the rate-based rule with theCountaction. The Count action allows AWS WAF tomonitor and log requests that exceed the specified rate threshold without actively blocking them. This provides visibility into traffic patterns and enables the security engineer to analyze how the rule would behave in production.
By using the Count action, the security engineer can safely evaluate whether legitimate users would be affected by the chosen rate limit. Once the engineer is confident that the threshold accurately distinguishes between normal traffic and malicious behavior, the action can later be changed to Block.
Option B is incorrect because immediately blocking traffic without validation risks denying service to legitimate users. Option C is invalid because AWS WAF does not have a Monitor action. Option D is incorrect because the Allow action does not enforce rate limiting.
AWS documentation explicitly recommendsstarting rate-based rules in Count modeto fine-tune thresholds before enforcing blocks, especially for DDoS protection scenarios.
* AWS Certified Security - Specialty Official Study Guide
* AWS WAF Developer Guide - Rate-Based Rules
* AWS DDoS Resiliency Best Practices
NEW QUESTION # 96
A company runs a public web application on an Amazon EKS cluster. The company uses an Amazon CloudFront distribution to deploy the application. An Application Load Balancer (ALB) is configured as an origin for the distribution.
A security engineer needs to implement a monitoring solution that sends notifications to an existing Amazon SNS topic. The solution must send a notification to the SNS topic when the application receives 10,000 requests from the same end-user IP address during any 5-minute period.
Which solution will meet these requirements?
Answer: B
Explanation:
AWS WAF rate-based rules are specifically designed to count requests by aggregation keys such as source IP address and apply an action when the count exceeds the configured limit during the evaluation window. A 5-minute window is the default and supported evaluation period. Because the application is delivered through CloudFront, the web ACL should be associated with the CloudFront distribution so requests are evaluated at the edge before reaching the ALB and EKS workload. CloudWatch metrics for the WAF rule can drive an alarm that notifies the SNS topic.
CloudFront logs or VPC Flow Logs would require delayed log processing and custom counting.
ASN matching does not count requests by individual end-user IP address.
NEW QUESTION # 97
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