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NEW QUESTION # 117
An IAM user receives an Access Denied message when the user attempts to access objects in an Amazon S3 bucket. The user and the S3 bucket are in the same AWS account. The S3 bucket is configured to use server- side encryption with AWS KMS keys (SSE-KMS) to encrypt all of its objects at rest by using a customer managed key from the same AWS account. The S3 bucket has no bucket policy defined. The IAM user has been granted permissions through an IAM policy that allows thekms:Decryptpermission to the customer managed key. The IAM policy also allows thes3:List* ands3:Get* permissions for the S3 bucket and its objects.
Which of the following is a possible reason that the IAM user cannot access the objects in the S3 bucket?
Answer: A
Explanation:
WithSSE-KMS, authorization is a two-part check: the caller must have S3 permissions to read the objectandthe caller must be allowed to use the KMS key for decryption. Even if an IAM policy grants kms:
Decrypt, the request will still fail if theKMS key policydoes not allow the principal (or does not allow the account to delegate use of the key). KMS key policies are authoritative: they can prevent key usage even when IAM policies appear to allow it.
A common misconfiguration is editing the key policy and removing the statement that grants the AWS account (or key administrators) the ability to manage and delegate permissions for the key-often described as removing "Enable IAM user permissions" or otherwise blocking the account from using IAM policies to authorize key usage. In that case, the IAM user's kms:Decrypt permission in IAM is not sufficient because the key policy no longer permits it, resulting in Access Denied when S3 attempts to call KMS on the user's behalf during GetObject.
Option A is not required for decrypting data (DescribeKey is useful for discovery but not necessary for GetObject). Option B would not inherently cause access denied if permissions align. Option C is incorrect because same-account S3 access can be granted purely via IAM without a bucket policy. Therefore, the key policy change is a valid reason.
NEW QUESTION # 118
A company needs to detect unauthenticated access to its Amazon Elastic Kubernetes Service (Amazon EKS) clusters. The solution must require no additional configuration of the existing EKS deployment.
Which solution will meet these requirements with the LEAST operational effort?
Answer: B
Explanation:
Amazon GuardDuty provides managed threat detection and supports EKS protection features that analyze Kubernetes audit logs to detect suspicious activity, including unauthorized or unauthenticated access attempts.
AWS Certified Security - Specialty documentation recommends GuardDuty for low-overhead detection because it is fully managed and does not require deploying agents or modifying application code. EKS Audit Log Monitoring is designed to consume and analyze relevant control plane audit events to identify anomalous or unauthorized actions against the cluster. Compared to third-party add-ons, GuardDuty reduces operational burden and remains fully within AWS managed services. Security Hub aggregates findings from services like GuardDuty but does not itself perform the detection. CloudWatch Container Insights focuses on performance and operational metrics, not authentication security detections. Therefore, enabling GuardDuty with EKS Audit Log Monitoring provides the required detection with the least operational effort and without requiring additional configuration to the existing EKS workload beyond enabling the feature.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon GuardDuty EKS Protection and Audit Log Monitoring
AWS Threat Detection Best Practices for Kubernetes on AWS
NEW QUESTION # 119
A company stores infrastructure and application code in web-based, third-party, Git-compatible code repositories outside of AWS. The company wants to give the code repositories the ability to securely authenticate and assume an existing IAM role within the company's AWS account by using OpenID Connect (OIDC).
Which solution will meet these requirements?
Answer: C
Explanation:
AWS IAM supports identity federation by allowing external identity providers that use OpenID Connect (OIDC) to authenticate and assume IAM roles. According to the AWS Certified Security - Specialty documentation, IAM OIDC identity providers are the recommended approach for enabling third-party systems, such as external CI/CD pipelines or Git-based repositories, to securely obtain temporary AWS credentials without using long-term access keys.
By creating an OIDC identity provider in IAM and configuring the IAM role trust policy to trust the external IdP, the company enables secure, token-based authentication. The trust policy can include conditions that restrict which repositories, branches, or workflows are allowed to assume the role, enforcing least privilege.
AWS Security Specialty guidance emphasizes that this method eliminates static credentials and relies on short- lived tokens issued by the OIDC provider.
Option B is incorrect because IAM Roles Anywhere is designed for workloads running outside AWS that use
X.509 certificates, not OIDC. Option C is intended for workforce identity federation, not machine-to-machine authentication. Option D is invalid because AWS RAM does not provide identity federation or authentication capabilities.
This solution aligns with AWS best practices for secure, scalable, and low-overhead authentication for external workloads.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS IAM OIDC Identity Providers
AWS IAM Role Trust Policies
NEW QUESTION # 120
A recent security audit identified that a company's application team injects database credentials into the environment variables of an AWS Fargate task. The company's security policy mandates that all sensitive data be encrypted at rest and in transit.
Which combination of actions should the security team take to make the application compliant with the security policy? (Select THREE.)
Answer: D,E,F
Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From AWS Certified Security - Specialty topics:
Secrets Manager is the appropriate service for database credentials because it encrypts secrets at rest with AWS KMS and retrieves them over TLS. The application should stop storing sensitive credentials directly in environment variables and retrieve them from Secrets Manager at runtime, or the ECS task should reference the secret securely through the task definition. In either design, the task role or task execution role must have permission to call secretsmanager:GetSecretValue and kms:Decrypt for the specific secret and KMS key.
Storing credentials in S3 is a weaker secret-management pattern. A Fargate task has no EC2 container instance role that the customer manages. Logging in to a Fargate instance is not valid and would not be an auditable secure deployment pattern
NEW QUESTION # 121
A company's data scientists want to create artificial intelligence and machine learning (AI/ML) training models by using Amazon SageMaker. The training models will use large datasets in an Amazon S3 bucket.
The datasets contain sensitive information.
On average, the data scientists need 30 days to train models. The S3 bucket has been secured appropriately.
The company's data retention policy states that all data that is older than 45 days must be removed from the S3 bucket.
Which action should a security engineer take to enforce this data retention policy?
Answer: B
Explanation:
Amazon S3 Lifecycle rules provide anative, fully managed mechanismto automatically transition or delete objects based on their age. According to the AWS Certified Security - Specialty Official Study Guide, S3 Lifecycle policies are therecommended and most secure methodfor enforcing data retention requirements because they operate automatically, consistently, and without custom code.
By configuring a lifecycle rule to delete objects after 45 days, the company ensures that sensitive datasets are retained long enough to support the 30-day model training process while remaining compliant with the data retention policy. Lifecycle rules are enforced by Amazon S3 itself and apply uniformly to all objects in the bucket or to objects that match specific prefixes or tags.
Option B and Option C introduce unnecessary operational complexity and risk by relying on custom Lambda code and scheduling. These approaches are more error-prone, harder to audit, and less reliable than a built-in S3 capability. Option D is incorrect because S3 Intelligent-Tiering manages storage cost optimization and does not delete data.
AWS documentation explicitly states thatS3 Lifecycle rules are the standard control for enforcing retention and deletion policies, particularly for sensitive data stored at scale.
* AWS Certified Security - Specialty Official Study Guide
* Amazon S3 Lifecycle Configuration Documentation
* AWS Data Protection Best Practices
NEW QUESTION # 122
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