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[General] Latest updated New SCS-C03 Test Testking & Reliable SCS-C03 Valid Test Book

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【General】 Latest updated New SCS-C03 Test Testking & Reliable SCS-C03 Valid Test Book

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Amazon AWS Certified Security – Specialty Sample Questions (Q81-Q86):NEW QUESTION # 81
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 AWS CloudTrail Insights and AWS CloudTrail Lake to review the API calls in context.
  • B. 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.
  • C. 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.
  • 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: B
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 # 82
A company experienced a security incident caused by a vulnerable container image that was pushed from an external CI/CD pipeline into Amazon ECR.
Which solution will prevent vulnerable images from being pushed?
  • A. Integrate Amazon Inspector into the CI/CD pipeline using SBOM generation and fail the pipeline on critical findings.
  • B. Use Amazon Inspector with EventBridge and Lambda.
  • C. Enable ECR enhanced scanning with Lambda blocking.
  • D. Enable basic continuous ECR scanning.
Answer: A
Explanation:
Amazon Inspector provides native CI/CD integration capabilities that allow security checks to occur before container images are pushed to Amazon ECR. According to AWS Certified Security - Specialty documentation, Inspector does not block image pushes automatically. Instead, prevention must occur inside the CI/CD pipeline itself.
By generating a Software Bill of Materials (SBOM) using the Amazon Inspector SBOM generator and submitting it to Inspector for scanning, the pipeline can detect critical vulnerabilities before the image is uploaded. If vulnerabilities exceed policy thresholds, the pipeline fails, preventing deployment.
Post-push scanning solutions only detect vulnerabilities after exposure. Event-driven blocking does not prevent the initial risk.
AWS best practices require "shift-left" security controls to prevent vulnerable artifacts from entering production.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Inspector CI/CD Integration

NEW QUESTION # 83
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?
  • A. Identify the Regional cluster ARN for the database. Use the ARN to restore the Regional cluster by using the restore to point in time feature. Set a target time 5 days ago at 3:14 PM.
  • B. Identify the Regional cluster ARN for the database. Use the ARN to restore the Regional cluster by using the restore to point in time feature. Set a target time 14 days ago.
  • C. Identify the Regional cluster ARN for the database. List snapshots that have been taken of the cluster.
    Restore the database by using the snapshot that has a creation time that is closest to 5 days ago at 3:14 PM.
  • D. List all snapshots that have been taken of all the company's RDS databases. Identify the snapshot that was taken closest to 5 days ago at 3:14 PM and restore it.
Answer: A
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 # 84
A company is running its application on AWS. The company has a multi-environment setup, and each environment is isolated in a separate AWS account. The company has an organization in AWS Organizations to manage the accounts. There is a single dedicated security account for the organization. The company must create an inventory of all sensitive data that is stored in Amazon S3 buckets across the organization's accounts. The findings must be visible from a single location.
Which solution will meet these requirements?
  • A. Set the security account as the delegated administrator for Amazon Macie and AWS Security Hub.
    Enable and configure Macie to publish sensitive data findings to Security Hub.
  • B. Set the security account as the delegated administrator for AWS Security Hub. In each account, configure Amazon Inspector to scan the S3 buckets for sensitive data. Publish sensitive data findings to Security Hub.
  • C. In each account, configure Amazon Inspector to scan the S3 buckets for sensitive data. Enable Amazon Inspector integration with AWS Trusted Advisor. Publish sensitive data findings to Trusted Advisor.
  • D. In each account, enable and configure Amazon Macie to detect sensitive data. Enable Macie integration with AWS Trusted Advisor. Publish sensitive data findings to Trusted Advisor.
Answer: A
Explanation:
Amazon Macie is the AWS service designed specifically to discover, classify, and inventory sensitive data stored in Amazon S3. According to the AWS Certified Security - Specialty Study Guide, Macie can be enabled organization-wide using AWS Organizations, with a delegated administrator account that centrally manages findings across all member accounts.
By designating the security account as the delegated administrator for both Amazon Macie and AWS Security Hub, the company can centralize sensitive data findings in a single location. Macie automatically scans S3 buckets for sensitive data such as personally identifiable information (PII) and publishes findings to Security Hub for centralized visibility and reporting.
Option B and C are incorrect because Amazon Inspector does not scan S3 objects for sensitive data. Option D is invalid because AWS Trusted Advisor does not ingest Macie sensitive data findings.
AWS best practices recommend Amazon Macie with delegated administration and Security Hub integration for centralized sensitive data inventory across multi-account environments.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Macie Sensitive Data Discovery
AWS Organizations Delegated Administrator Model
AWS Security Hub Integration Overview

NEW QUESTION # 85
A security engineer discovers that a company's user passwords have no required minimum length. The company uses the following identity providers (IdPs):
* AWS Identity and Access Management (IAM) federated with on-premises Active Directory
* Amazon Cognito user pools that contain the user database for an AWS Cloud application Which combination of actions should the security engineer take to implement a required minimum password length? (Select TWO.)
  • A. Update the password length policy in the on-premises Active Directory configuration.
  • B. Create an SCP in AWS Organizations to enforce minimum password length.
  • C. Update the password length policy in the Amazon Cognito configuration.
  • D. Create an IAM policy with a minimum password length condition.
  • E. Update the password length policy in the IAM configuration.
Answer: A,C
Explanation:
Password policies are enforced at the identity provider where authentication occurs. According to the AWS Certified Security - Specialty Study Guide, when IAM is federated with an external identity provider such as on-premises Active Directory, IAM does not manage or enforce password policies. Instead, password requirements such as minimum length must be enforced directly in Active Directory Group Policy Objects.
Amazon Cognito user pools maintain their own user directory and authentication logic. Cognito provides configurable password policies, including minimum length, complexity, and expiration. To enforce a minimum password length for application users, the Cognito user pool password policy must be updated.
IAM password policies apply only to IAM users that authenticate directly with IAM and do not affect federated users or Cognito users. SCPs and IAM policies cannot enforce password length requirements.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS IAM Federation and Password Policies
Amazon Cognito User Pool Security Settings

NEW QUESTION # 86
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