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NEW QUESTION # 104
A company wants to establish separate AWS Key Management Service (AWS KMS) keys to use for different AWS services. The company's security engineer created the following key policy to allow the infrastructure deployment team to create encrypted Amazon Elastic Block Store (Amazon EBS) volumes by assuming the InfrastructureDeployment IAM role:
{
"Version": "2012-10-17",
"Id": "key-policy-ebs",
"Statement": [
{
"Sid": "Enable IAM User Permissions",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::123456789012:root"
},
"Action": "kms:*",
"Resource": "*"
},
{
"Sid": "Allow use of the key",
"Effect": "Allow",
"Principal": {
"AWS": "arn:aws:iam::123456789012:role/aws-reserved/sso.amazonaws.com/InfrastructureDeployment"
},
"Action": [
"kms:Encrypt",
"kms:Decrypt",
"kms:ReEncrypt*",
"kms:GenerateDataKey*",
"kms:DescribeKey",
"kms:CreateGrant",
"kms:ListGrants",
"kms:RevokeGrant"
],
"Resource": "*",
"Condition": {
"StringEquals": {
"kms:ViaService": "ec2.us-west-2.amazonaws.com"
}
}
}
]
}
The security engineer recently discovered that IAM rolesother thanthe InfrastructureDeployment role used this key for other services.
Which change to the policy should the security engineer make to resolve these issues?
Answer: D
Explanation:
AWS KMS key policies can restrict how and when a key is used by applyingconditions such as kms:
ViaService, which limits usage to requests that originate from a specific AWS service. According to the AWS Certified Security - Specialty Official Study Guide and AWS KMS documentation, the kms:ViaService condition is evaluated against the service that calls KMS on behalf of the principal.
Using StringEquals with kms:ViaService restricts usage toexactly one service endpoint. However, AWS services can invoke KMS throughservice variants, internal endpoints, or additional service integrations.
When StringEquals is used, these variations can unintentionally bypass the condition, allowing the key to be used by other services through different internal service paths.
Changing the condition operator from StringEquals to StringLike ensures thatonly EC2-related service calls that match the intended service pattern are allowed, while still preventing use by unrelated AWS services.
This aligns with AWS guidance to use StringLike when service invocation patterns may vary.
Option B is incorrect because the root principal statement is required to retain administrative control over the key. Option C is invalid because changing Regions does not address unauthorized service usage. Option D does not restrict key usage and does not mitigate the issue.
AWS documentation explicitly recommendstightening condition operatorsin KMS key policies to prevent unintended service access while maintaining required functionality.
* AWS Certified Security - Specialty Official Study Guide
* AWS Key Management Service Developer Guide
* AWS KMS Key Policy Best Practices
NEW QUESTION # 105
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?
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 # 106
A company plans to create Amazon S3 buckets to store log data. All the S3 buckets will have versioning enabled and will use the S3 Standard storage class.
A security engineer needs to implement a solution that protects objects in the S3 buckets from deletion for 90 days. The solution must ensure that no object can be deleted during this time period, even by an administrator or the AWS account root user.
Which solution will meet these requirements?
Answer: B
Explanation:
S3 Object Lock in compliance mode is the strictest WORM protection for S3 objects. When an object version is protected by compliance-mode retention, no user, including the root user in the AWS account, can overwrite or delete the protected object version before the retention period expires. This exactly satisfies the requirement to prevent deletion for 90 days even by administrators or root. Governance mode is weaker because users with special bypass permissions can override governance retention. A legal hold does not use a time-based 90- day retention period unless manually removed later. S3 Glacier Vault Lock applies to S3 Glacier vaults, not regular S3 buckets using S3 Standard storage class.
NEW QUESTION # 107
A company's application team needs a new AWS Key Management Service (AWS KMS) customer managed key to use with Amazon S3. The company's security policy requires separate keys for different AWS services to limit security exposure.
How can a security engineer limit the KMS customer managed key to work with only Amazon S3?
Answer: A
Explanation:
AWS KMS provides condition keys that can be used to tightly scope how and where a customer managed key can be used. According to the AWS Certified Security - Specialty Study Guide, the kms:ViaService condition key is specifically designed to restrict key usage to requests that originate from a particular AWS service in a specific Region.
By configuring the key policy to allow KMS cryptographic operations only when kms:ViaService equals s3.
<region>.amazonaws.com, the security engineer ensures that the key can be used exclusively by Amazon S3.
Even if other IAM principals have permissions to use the key, the key cannot be used by other services such as Amazon EC2, Amazon RDS, or AWS Lambda.
Option A is incorrect because AWS services do not assume identities in key policies. Options C and D modify IAM role policies, which do not control how a KMS key is used by AWS services. AWS documentation clearly states that service-level restrictions must be enforced at the KMS key policy level using condition keys.
This approach enforces strong separation of duties and limits blast radius, which aligns with AWS security best practices.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS KMS Key Policy Condition Keys
AWS KMS Best Practices
NEW QUESTION # 108
A security engineer wants to forward custom application-security logs from an Amazon EC2 instance to Amazon CloudWatch. The security engineer installs the CloudWatch agent on the EC2 instance and adds the path of the logs to the CloudWatch configuration file.
However, CloudWatch does not receive the logs. The security engineer verifies that the awslogs service is running on the EC2 instance.
What should the security engineer do next to resolve the issue?
Answer: B
Explanation:
The Amazon CloudWatch agent requires explicit IAM permissions to create log groups, create log streams, and put log events into Amazon CloudWatch Logs. According to the AWS Certified Security - Specialty Study Guide, the most common cause of CloudWatch agent log delivery failures is missing or insufficient IAM permissions on the EC2 instance role.
The CloudWatchAgentServerPolicy AWS managed policy provides the required permissions, including logs:
CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents. Attaching this policy to the EC2 instance role enables the CloudWatch agent to successfully deliver custom application logs without requiring changes to the application or logging configuration.
Options A, B, and C are incorrect because CloudTrail, Amazon S3, and Amazon Inspector are not designed to ingest custom application logs from EC2 instances in this manner. AWS documentation clearly states that IAM permissions must be granted to the EC2 role for CloudWatch Logs ingestion.
This approach aligns with AWS best practices for least privilege while ensuring reliable detection and monitoring capabilities.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon CloudWatch Logs Agent Configuration
AWS IAM Best Practices for Monitoring
NEW QUESTION # 109
......
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