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Amazon AWS Certified Security - Specialty Sample Questions (Q46-Q51):
NEW QUESTION # 46
A company has an AWS account that hosts a production application. The company receives an email notification that Amazon GuardDuty has detected an Impact:IAMUser/AnomalousBehavior finding in the account. A security engineer needs to run the investigation playbook for this security incident and must collect and analyze the information without affecting the application.
Which solution will meet these requirements MOST quickly?
- A. Log in to the AWS account by using read-only credentials. Review the GuardDuty finding to determine which API calls initiated the finding. Use Amazon Detective to review the API calls in context.
- B. Log in to the AWS account by using read-only credentials. Review the GuardDuty finding for details about the IAM credentials that were used. Use the IAM console to add a DenyAll policy to the IAM principal.
- C. Log in to the AWS account by using read-only credentials. Review the GuardDuty finding to determine which API calls initiated the finding. Use AWS CloudTrail Insights and AWS CloudTrail Lake to review the API calls in context.
- D. Log in to the AWS account by using administrator credentials. Review the GuardDuty finding for details about the IAM credentials that were used. Use the IAM console to add a DenyAll policy to the IAM principal.
Answer: A
Explanation:
Amazon GuardDuty findings provide high-level detection of suspicious activity but are not designed for deep investigation on their own. The AWS Certified Security - Specialty documentation explains that Amazon Detective is purpose-built to support rapid investigations by automatically collecting, correlating, and visualizing data from GuardDuty, AWS CloudTrail, and VPC Flow Logs. Detective enables security engineers to analyze API calls, user behavior, and resource interactions in context without making any changes to the environment.
Using read-only credentials ensures that the investigation does not impact the production application. Amazon Detective allows investigators to pivot directly from a GuardDuty finding into a detailed activity graph, showing which IAM user made anomalous calls, what resources were accessed, and how behavior deviated from the baseline. This significantly accelerates incident investigation.
Options A and C involve applying DenyAll policies, which are containment actions and could affect application availability. Option D requires manual analysis and setup and is slower than using Amazon Detective, which is designed for immediate investigative workflows.
AWS incident response guidance recommends using Detective for rapid, non-intrusive analysis after GuardDuty findings.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon GuardDuty and Amazon Detective Integration
AWS Incident Response Investigation Best Practices
NEW QUESTION # 47
An AWS Lambda function was misused to alter data, and a security engineer must identify who invoked the function and what output was produced. The engineer cannot find any logs created by the Lambda function in Amazon CloudWatch Logs. Which of the following explains why the logs are not available?
- A. The version of the Lambda function that was invoked was not current.
- B. The Lambda function was invoked by using Amazon API Gateway, so the logs are not stored in CloudWatch Logs.
- C. The execution role for the Lambda function did not grant permissions to write to the Amazon S3 bucket where CloudWatch Logs stores the logs.
- D. The execution role for the Lambda function did not grant permissions to write log data to CloudWatch Logs.
Answer: D
Explanation:
AWS Lambda automatically sends function execution logs to Amazon CloudWatch Logs when logging is enabled in the function code. However, this logging capability depends on the Lambda execution role having the appropriate permissions. According to the AWS Certified Security - Specialty Study Guide, the execution role must include permissions such as logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents.
If these permissions are missing, Lambda cannot create log groups or streams, and no execution logs will appear in CloudWatch Logs-even though the function was successfully invoked. This is the most common reason Lambda logs are unavailable during forensic investigations.
Option B is incorrect because Lambda logs are stored in CloudWatch Logs regardless of whether the invocation source is API Gateway, EventBridge, or another AWS service. Option C is incorrect because CloudWatch Logs does not require direct S3 permissions from the Lambda execution role. Option D is irrelevant because Lambda versions do not affect logging behavior.
AWS documentation emphasizes verifying execution role permissions as a first step when Lambda logs are missing.
NEW QUESTION # 48
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.)
- A. Apply an AWS IoT Core policy to the device to allow "iot:Connect" with the resource set to
"client/${iot:Connection.Thing.ThingName}". - B. Apply an AWS IoT Core policy that allows "AWSIoTWirelessDataAccess" with the principal set to
"client/${iot:Connection.Thing.ThingName}". - C. Apply an AWS IoT Core policy to the device to allow "iot:Connect" with the resource set to
"client/${iot:ClientId}". - D. In the application, add a client ID check. Disconnect from the server if any special character is detected.
- E. In the application, use an IoT thing name as the client ID to connect the device to AWS IoT Core.
Answer: A,E
Explanation:
The threat is client ID manipulation to break authorization boundaries. The strongest control is tobind the MQTT client identity to the authenticated device identity(the Thing) rather than trusting arbitrary client IDs provided by the client. Using theThing name as the client ID(Option A) removes ambiguity and makes the identifier predictable and tied to a registered identity.
On the authorization side, AWS IoT Core policies can use policy variables. Allowing iot:Connect only when the resource matches client/${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 # 49
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?
- A. Configure the rule to use the Count action.
- B. Configure the rule to use the Block action.
- C. Configure the rule to use the Allow action.
- D. Configure the rule to use the Monitor action.
Answer: A
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 # 50
A company has the following security policy for its Amazon Aurora MySQL databases for a single AWS account:
* Database storage must be encrypted at rest.
* Deletion protection must be enabled.
* Databases must not be publicly accessible.
* Database audit logs must be published to Amazon CloudWatch Logs.
A security engineer must implement a solution thatcontinuously monitorsall Aurora MySQL resources for compliance with this policy. The solution must be able todisplay a database's compliance state for each part of the policy at any time.
Which solution will meet these requirements?
- A. Create an Amazon EventBridge rule that runs when an Aurora MySQL resource is created or modified.Create an AWS Lambda function to verify the security requirements and to send the compliance state to a CloudWatch custom metric.
- B. Enable AWS Config. Implement AWS Config managed rules that monitor all Aurora MySQL resources for the security requirements. View the compliance state in the AWS Config dashboard.
- C. Enable AWS Audit Manager. Configure Audit Manager to use a custom framework that matches the security requirements. Create an assessment report to view the compliance state.
- D. Enable AWS Security Hub. Create a configuration policy that includes the security requirements. Apply the configuration policy to all Aurora MySQL resources. View the compliance state in Security Hub.
Answer: B
Explanation:
AWS Config is a fully managed service that providescontinuous monitoring and evaluation of AWS resource configurationsagainst desired configuration baselines. According to the AWS Certified Security - Specialty Official Study Guide, AWS Config is the primary service used totrack configuration changes, evaluate compliance in near real time, and display compliance statesfor individual AWS resources.
AWS Config providesmanaged rulesthat directly map to the listed Aurora MySQL security requirements, including encryption at rest, public accessibility, deletion protection, and log exports to CloudWatch Logs.
These managed rules continuously evaluate resources and mark them as compliant or noncompliant whenever a configuration change occurs.
The AWS Config dashboard enables security engineers to viewper-resource and per-rule compliance states at any point in time, satisfying the requirement to display compliance status for each part of the policy.
AWS Audit Manager (Option A) is designed for audit evidence collection and reporting, not continuous monitoring. AWS Security Hub (Option C) aggregates findings from other services but relies on AWS Config for configuration compliance data. Option D introduces unnecessary custom logic and does not provide a native compliance dashboard.
AWS documentation explicitly identifiesAWS Config as the authoritative service for continuous compliance monitoring and visibility.
* AWS Certified Security - Specialty Official Study Guide
* AWS Config Developer Guide
* Amazon Aurora Security Best Practices
* AWS Well-Architected Framework - Security Pillar
NEW QUESTION # 51
......
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