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NEW QUESTION # 209
A company recently experienced a malicious attack on its cloud-based environment. The company successfully contained and eradicated the attack. A security engineer is performing incident response work.
The security engineer needs to recover an Amazon RDS database cluster to the last known good version. The database cluster is configured to generate automated backups with a retention period of 14 days. The initial attack occurred 5 days ago at exactly 3:15 PM.
Which solution will meet this requirement?
Answer: C
Explanation:
Amazon RDS supports point-in-time recovery (PITR) using automated backups within the configured retention window. According to the AWS Certified Security - Specialty Study Guide, PITR allows recovery to any second within the retention period, making it the most precise recovery method following a security incident.
By restoring the database cluster to a point just before the attack occurred, such as 3:14 PM, the security engineer ensures that the restored database reflects the last known good state without including malicious changes. This method is more accurate than restoring from snapshots, which are created at fixed intervals and may not align with the exact recovery time.
Options B and C rely on snapshot timing and may reintroduce compromised data. Option D restores to an arbitrary time and does not meet the requirement to recover to the last known good version.
AWS documentation explicitly recommends point-in-time recovery for incident response scenarios that require precise restoration.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon RDS Automated Backups and PITR
AWS Incident Response and Recovery Guidance
NEW QUESTION # 210
A company is building a secure solution that relies on an AWS Key Management Service (AWS KMS) customer managed key. The company wants to allow AWS Lambda to use the KMS key.
However, the company wants to prevent Amazon EC2 from using the key. Which solution will meet these requirements?
Answer: A
Explanation:
AWS KMS access control is primarily enforced through key policies (and optionally grants), and AWS recommends using key policy condition keys to restrict how keys can be used. The kms:ViaService condition key is specifically designed to restrict KMS API usage to requests that come through a particular AWS service endpoint in a specific Region. This is the most robust way to ensure a key can be used only via AWS Lambda (for example, lambda.<region>.amazonaws.com) and not via Amazon EC2 (ec2.<region>.amazonaws.com), even if IAM permissions exist elsewhere. By writing a key policy that uses the Lambda execution role as the principal and conditions on kms:ViaService, the company can tightly bind key usage to Lambda-originated cryptographic operations while preventing use through EC2 service paths.
Option A is weaker because EC2 is not the only way an IAM principal might use KMS, and relying on attaching explicit deny policies broadly is harder to manage and can miss principals. Option C is incorrect because aws:AuthorizedService is not the typical mechanism for KMS service restriction, and SourceIp is unreliable for service-to-service calls. Option D is not ideal because SCPs do not provide fine-grained service-path restrictions for KMS usage and cannot "allow" beyond IAM; key policy controls still apply.
NEW QUESTION # 211
A company needs to identify the root cause of security findings and investigate IAM roles involved in those findings. The company has enabled VPC Flow Logs, Amazon GuardDuty, and AWS CloudTrail.
Which solution will meet these requirements?
Answer: A
Explanation:
Amazon Detective is specifically designed to help security teams investigate and visualize the root cause of security findings. According to AWS Certified Security - Specialty documentation, Detective automatically aggregates and correlates data from GuardDuty, CloudTrail, and VPC Flow Logs to provide interactive visualizations and timelines.
Detective enables investigators to pivot from GuardDuty findings to IAM roles, API calls, network traffic, and resource behavior. This makes it the most efficient tool for understanding how IAM roles were used during suspicious activity.
Amazon Inspector focuses on vulnerability assessment, not behavioral investigation. Security Hub aggregates findings but does not provide deep investigation graphs. Manual analysis with Athena requires significantly more effort.
AWS guidance explicitly recommends Amazon Detective for root cause analysis and visualization of security incidents.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Detective Investigation Capabilities
AWS Threat Detection and Analysis
NEW QUESTION # 212
A company has a large fleet of Amazon Linux 2 Amazon EC2 instances that run an application.
The application processes sensitive data and has the following compliance requirements:
- No remote access management ports to the EC2 instances can be exposed internally or externally.
- All remote session activity must be recorded in an audit log.
- All remote access to the EC2 instances must be authenticated and
authorized by AWS IAM Identity Center.
The company's DevOps team occasionally needs to connect to one of the EC2 instances to troubleshoot issues.
Which solution will provide remote access to the EC2 instances while meeting the compliance requirements?
Answer: D
Explanation:
AWS Systems Manager Session Manager provides secure, auditable, and portless access to EC2 instances. According to the AWS Certified Security - Specialty Study Guide, Session Manager allows administrators to connect to instances without opening inbound SSH or RDP ports, fully satisfying strict compliance requirements.
Session Manager integrates directly with AWS IAM Identity Center, ensuring that all access is authenticated and authorized using centralized identity management. Additionally, Session Manager automatically records session activity and can send logs to Amazon CloudWatch Logs or Amazon S3, providing a complete audit trail of all commands executed during a session.
NEW QUESTION # 213
A company uses Amazon Cognito user pools with the hosted UI to authenticate its customers. The company's security team has detected a surge in bot activity and suspicious traffic that targets the Amazon Cognito endpoints. A security engineer must implement a security solution to block these malicious requests. The security measures must maintain uninterrupted access for legitimate users.
Which solution meets these requirements?
Answer: A
Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From AWS Certified Security - Specialty topics:
AWS WAF can be associated directly with an Amazon Cognito user pool. A web ACL gives fine-grained control over HTTPS requests that Cognito hosted UI, managed login, and API endpoints process. This is the correct way to block unwanted requests, bot traffic, suspicious user agents, IP patterns, and abusive request behavior while preserving access for legitimate users. Cognito threat protection is aimed at adaptive authentication and compromised-credential style risks, not broad request filtering for bot traffic at the endpoint layer. App client settings cannot block unauthenticated malicious requests before they reach Cognito endpoints. CloudWatch can monitor activity but does not itself enforce blocking. AWS WAF is the preventive control specifically designed for this edge-facing request-filtering requirement.
NEW QUESTION # 214
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