Amazon Web Services SCS-C02 Exam With Confidence Using Practice Dumps

The possible reason that the IAM user cannot access the objects in the S3 bucket is D. The KMS key policy has been edited to remove the ability for the AWS account to have full access to the key.

This answer is correct because the KMS key policy is the primary way to control access to the KMS key, and it must explicitly allow the AWS account to have full access to the key.If theKMS key policy has been edited to remove this permission, then the IAM policy that grants kms:Decrypt permission to the IAM user has no effect, and the IAM user cannot decrypt the objects in the S3 bucket12.

The other options are incorrect because:

A. The IAM policy does not need to allow the kms:DescribeKey permission, because this permission is not required for decrypting objects in S3 using SSE-KMS.The kms:DescribeKey permission allows getting information about a KMSkey, such as its creation date, description, and key state3.

B. The S3 bucket has not been changed to use the AWS managed key to encrypt objects at rest, because this would not cause an Access Denied message for the IAM user. The AWS managed key is a default KMS key that is created and managed by AWS for each AWS account and Region.The IAM user does not need any permissions on this key to use it for SSE-KMS4.

C. An S3 bucket policy does not need to be added to allow the IAM user to access the objects, because the IAM user already has s3:List* and s3:Get* permissions for the S3 bucket and its objects through an IAM policy.An S3 bucket policy is an optional way to grant cross-account access or public access to an S3 bucket5.

Amazon OpenSearch Service provides near real-time log ingestion and indexing, full-text search, and analytics capabilities. Using the Security Analytics feature, you can define detection rules and configure alerts based on log patterns or threat indicators. These alerts can be routed to Amazon SNS topics for notification and automation workflows.

This meets the requirements for:

Near real-time log ingestion and search

Rule-based detection and alerting

Integration with SNS for notifications

This solution aligns with best practices under the Logging and Monitoring domain in the AWS Certified Security – Specialty curriculum.

The correct answer is A because it allows the security engineer to add the X-Frame-Options header to the HTTPS responses from the application origin without modifying the origin itself. A Lambda@Edge function is a Lambda function that runs in response to CloudFront events, such as viewer request, origin request, origin response, or viewer response. By configuring the function to runin response to the origin response event, the security engineer can modify the response headers that CloudFront receives from the origin before sending them to the viewer1. The function can include code to add the X-Frame-Options header with the desired value, suchas DENY or SAMEORIGIN, to prevent frame-related cross-site scripting attacks2.

The other options are incorrect because they are either less efficient or less secure than option A. Option B is incorrect because configuring the Lambda@Edge function to run in response to the viewer request event is not optimal, as it adds latency to the request processing and does not modify the response headers that CloudFront receives from the origin. Option C is incorrect because adding X-Frame-Options to custom headers in the origin settings does not affect the response headers that CloudFront sends to the viewer. Custom headers are only used to send additional information to the origin when CloudFront forwards a request3. Option D is incorrect because customizing the EC2 hosted application to add the X-Frame-Options header to the responses requires changing the origin code, which may not be feasible or desirable for the security engineer.