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NEW QUESTION # 240
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: C
Explanation:
AWS WAF rate-based rules are designed to help protect applications and resources from traffic floods and application-layer DDoS attacks by 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, including Count, 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 the Count action. The Count action allows AWS WAF to monitor 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.
NEW QUESTION # 241
A company needs to scan all AWS Lambda functions for code vulnerabilities.
Answer: C
Explanation:
Amazon Inspector provides native Lambda code vulnerability scanning. GuardDuty focuses on runtime threats, not static code analysis.
NEW QUESTION # 242
A company allows users to download its mobile app onto their phones. The app is MQTT based and connects to AWS IoT Core to subscribe to specific client-related topics. Recently, the company discovered that some malicious attackers have been trying to get a Trojan horse onto legitimate mobile phones. The Trojan horse poses as the authentic application and uses a client ID with injected special characters to gain access to topics outside the client's privilege scope.
Which combination of actions should the company take to prevent this threat? (Choose two.)
Answer: B,C
Explanation:
The threat is client ID manipulation to break authorization boundaries. The strongest control is tobind the MQTT client identity to the authenticated device identity(the Thing) rather than trusting arbitrary client IDs provided by the client. Using theThing name as the client ID(Option A) removes ambiguity and makes the identifier predictable and tied to a registered identity.
On the authorization side, AWS IoT Core policies can use policy variables. Allowing iot:Connect only when the resource matches client/${iot:Connection.Thing.ThingName} (Option E) ensures the connection is permittedonlyif the client ID exactly equals the authenticated Thing name from the TLS certificate/Thing principal context. This prevents attackers from injecting special characters or choosing a different client ID to escalate access, because the policy evaluation ties the allowed client resource to the Thing identity, not the attacker-controlled string.
NEW QUESTION # 243
A company has a new web-based account management system for an online game. Players create a unique username and password to log in to the system.
The company has implemented an AWS WAF web ACL for the system. The web ACL includes the core rule set (CRS) AWS managed rule group on the Application Load Balancer that serves the system.
The company's security team finds that the system was the target of a credential stuffing attack.
Credentials that were exposed in other breaches were used to try to log in to the system.
The security team must implement a solution to reduce the chance of a successful credential stuffing attack in the future. The solution also must minimize impact on legitimate users of the system.
Which combination of actions will meet these requirements? (Choose two.)
Answer: C,E
Explanation:
Creating a CloudWatch custom metric to monitor the number of successful login responses from a single IP address can help identify unusual patterns that might indicate credential stuffing. This allows for additional monitoring and detection without immediately impacting legitimate users. The AWS WAF Account Takeover Prevention (ATP) rule group is specifically designed to detect and mitigate credential stuffing attacks. By configuring ATP to inspect login requests and blocking requests with the awswaf:managed:aws:atp:signal:credential_compromised label, the security team can significantly reduce the chances of successful credential stuffing attacks. This approach targets compromised credentials while minimizing impact on legitimate users.
NEW QUESTION # 244
Hotspot Question
A security engineer is using the AWS Well-Architected Tool to evaluate a multi-tier web application that a company hosts on AWS. During the assessment, the security engineer identifies several resources that violate design principles of the Well-Architected Framework security pillar.
Select the security pillar design principle from the following list that each assessment finding primarily violates. Select each security pillar design principle one time.
- Configure service and application logging
- Reduce manual management and interactive access.
- Deploy software programmatically.
- Control traffic flow within your network layers.
- Protecting data in transit.
Answer:
Explanation:
Explanation:
Deploy software programmatically
Reduce manual management and interactive access
Control traffic flow within your network layers
Protecting data in transit
Configure service and application logging
Automated software deployment avoids direct administrator patching that bypasses controlled deployment pipelines. Restricting interactive sessions on production databases reduces manual access and improves security governance. Limiting overly permissive security group access enforces proper network-layer traffic control. Replacing HTTP with encrypted communication protects data in transit between workload tiers. Centralized logging with automated alerting ensures security events are captured, monitored, and acted on promptly.
NEW QUESTION # 245
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