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Amazon SCS-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Incident Response: This domain addresses responding to security incidents through automated and manual strategies, containment, forensic analysis, and recovery procedures to minimize impact and restore operations.
Topic 2	Infrastructure Security: This domain focuses on securing AWS infrastructure including networks, compute resources, and edge services through secure architectures, protection mechanisms, and hardened configurations.
Topic 3	Security Foundations and Governance: This domain addresses foundational security practices including policies, compliance frameworks, risk management, security automation, and audit procedures for AWS environments.

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Amazon AWS Certified Security - Specialty Sample Questions (Q147-Q152):

NEW QUESTION # 147
A security engineer is implementing a logging solution for a company's AWS environment. The security engineer has configured an AWS CloudTrail trail in the company's AWS account. The logs are stored in an Amazon S3 bucket for a third-party service provider to monitor. The service provider has a designated IAM role to access the S3 bucket.
The company requires all logs to be encrypted at rest with a customer managed key. The security engineer uses AWS Key Management Service (AWS KMS) to create the customer managed key and key policy. The security engineer also configures CloudTrail to use the key to encrypt the trail.
When the security engineer implements this configuration, the service provider no longer can read the logs.
What should the security engineer do to allow the service provider to read the logs?

A. Migrate the key to AWS Certificate Manager (ACM) to create a shared endpoint for access to the key.
B. Ensure that the S3 bucket policy allows access to the service provider's role to decrypt objects.
C. Add the AWSKeyManagementServicePowerUser AWS managed policy to the service provider's role.
D. Add a statement to the key policy to allow the service provider's role the kms:Decrypt action for the key.

Answer: D

Explanation:
When using a customer-managed AWS KMS key to encrypt CloudTrail logs, any role or principal that needs to read (decrypt) the logs must have permission to use the kms:Decrypt action on the key. By adding a statement to the key policy that grants kms:Decrypt access to the service provider's IAM role, the security engineer can ensure that the service provider has the necessary permissions to decrypt and read the encrypted logs in the S3 bucket.

NEW QUESTION # 148
A security engineer must investigate an Amazon GuardDuty finding. The finding indicates potential cryptocurrency mining activity on an Amazon EC2 instance. The security engineer must validate the finding and assess the impact.
Which data sources should the security engineer analyze to meet these requirements?

A. Check the instance's CPU utilization metrics in Amazon CloudWatch. Examine the finding's MITRE ATT&CK tactic classification. Review any associated IAM role permissions.
B. Examine the instance's AWS Systems Manager session history. Verify Amazon Route 53 DNS records. Review GuardDuty severity levels.
C. Count the number of GuardDuty findings associated with the instance. Verify the instance's launch time. Check AWS Security Hub CSPM for any related alerts.
D. Review the instance's process details that relate to the finding. Examine DNS queries to known mining domains. Analyze the instance's outbound network connections by using VPC Flow Logs.

Answer: D

Explanation:
Cryptocurrency mining validation requires evidence of actual mining behavior, not only metadata about the finding. Process details show whether mining binaries or suspicious processes are running on the instance. DNS analysis can reveal lookups to known mining pools or suspicious domains. VPC Flow Logs help confirm outbound connections, destinations, ports, and traffic volume from the instance. GuardDuty uses foundational data sources such as DNS logs, VPC Flow Logs, and CloudTrail events to detect suspicious activity, so those same sources are appropriate for validating and scoping the finding. CPU metrics alone are useful context but not enough. Counting findings or checking severity does not prove impact. Session history and Route
53 records do not directly validate mining behavior.

NEW QUESTION # 149
A company runs a global ecommerce website that is hosted on AWS. The company uses Amazon CloudFront to serve content to its user base. The company wants to block inbound traffic from a specific set of countries to comply with recent data regulation policies. Which solution will meet these requirements MOST cost-effectively?

A. Use the geo restriction feature in CloudFront to deny the specific countries.
B. Use geolocation headers in CloudFront to deny the specific countries.
C. Create an AWS WAF web ACL with a geo match condition to deny the specific countries.
Associate the web ACL with the CloudFront distribution.
D. Create an AWS WAF web ACL with an IP match condition to deny the countries' IP ranges.
Associate the web ACL with the CloudFront distribution.

Answer: A

Explanation:
Amazon CloudFront includes a native geo restriction (geoblocking) capability that allows content owners to control access to their distributions based on the geographic location of the viewer. The viewer's country is determined using the IP address from which the request originates. According to the AWS Certified Security - Specialty Official Study Guide and the Amazon CloudFront Developer Guide, geo restriction is specifically designed for scenarios where organizations must comply with regional regulations, licensing requirements, or data sovereignty policies.
From a cost perspective, CloudFront geo restriction is the most cost-effective solution because it is configured directly within the CloudFront distribution and does not require AWS WAF. AWS WAF introduces additional costs for web ACLs, rules, and request processing, which is unnecessary when the requirement is limited strictly to blocking or allowing access based on country.

NEW QUESTION # 150
A company has hundreds of AWS accounts and uses AWS Organizations. The company plans to create many different IAM roles and policies for its product team, security team, and platform team. Some IAM policies will be shared across teams.
A security engineer needs to implement a solution to logically group together the IAM roles of each team. The solution must allow only the platform team to delegate IAM permissions to AWS services.
Which solution will meet these requirements?

A. Apply different tags for each team to the IAM policies. Deploy an SCP that denies the iam:PassRole permission to all entities except the policies of the platform team.
B. Set up an IAM path with the IAM roles for each team. Use IAM permissions boundaries to deny the sts:AssumeRole permission to the IAM roles for the product team and the security team.
C. Apply different tags for each team to the IAM roles. Deploy an SCP that denies the sts:AssumeRole permission to all entities except the roles of the platform team.
D. Set up an IAM path with the IAM roles for each team. Deploy an SCP that denies the iam:PassRole permission to all entities except the IAM path of the platform team.

Answer: D

Explanation:
Using IAM paths allows you to organize and logically group IAM roles by team, making it easier to manage permissions. By creating IAM paths specific to each team (e.g., /product-team/, /security- team/, /platform-team/), you can apply a Service Control Policy (SCP) that restricts the permission to only roles within the platform team's path. This approach allows the platform team to delegate IAM permissions to AWS iam:PassRole services while preventing other teams from doing so, meeting both organizational and delegation requirements.

NEW QUESTION # 151
A company runs an application that sends logs to a log group in Amazon CloudWatch Logs. The email addresses of the application users are in the logs.
The company's developers need to view the logs in CloudWatch Logs. A security engineer must ensure that the developers who access the log group cannot see the user email addresses.
Which solution will meet this requirement?

A. Create a subscription filter for the log group. Configure the log subscription to send the log data to an AWS Lambda function. Program the Lambda function to parse the log entries and to mask values that are email addresses.
B. Configure a data protection policy for the log group. Specify the AWS managed data identifier of EmailAddress for the type of data to mask. Activate data protection for the log group.
C. Use Amazon Macie to scan the log group. Configure Macie to use a custom data identifier that uses a regular expression to identify an email address pattern. Activate automated data discovery in Macie.
D. Create an AWS Key Management Service (AWS KMS) key. Configure the log group to use the key to encrypt the logs. Configure the key policy to deny access to the IAM role that the developers assume to use CloudWatch Logs.

Answer: B

Explanation:
Amazon CloudWatch Logs supports data protection policies that can mask sensitive information such as email addresses in log groups. By configuring a data protection policy for the log group and specifying the AWS managed data identifier for EmailAddress, the company can automatically mask email addresses in the logs, allowing developers to access the log data without seeing the email addresses.

NEW QUESTION # 152
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