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Amazon AWS Certified Security - Specialty Sample Questions (Q88-Q93):
NEW QUESTION # 88
A company is operating an open-source software platform that is internet facing. The legacy software platform no longer receives security updates. The software platform operates using Amazon Route 53 weighted load balancing to send traffic to two Amazon EC2 instances that connect to an Amazon RDS cluster. A recent report suggests this software platform is vulnerable to SQL injection attacks, with samples of attacks provided. The company's security engineer must secure this system against SQL injection attacks within 24 hours. The solution must involve the least amount of effort and maintain normal operations during implementation.
What should the security engineer do to meet these requirements?
- A. Create an Amazon CloudFront distribution specifying one EC2 instance as an origin. Create an AWS WAF web ACL containing rules that protect the application from this attack, then apply it to the distribution. Test to ensure the vulnerability has been mitigated, then redirect the Route 53 records to point to CloudFront.
- B. Obtain the latest source code for the platform and make the necessary updates. Test the updated code to ensure that the vulnerability has been mitigated, then deploy the patched version of the platform to the EC2 instances.
- C. Create an Application Load Balancer with the existing EC2 instances as a target group. Create an AWS WAF web ACL containing rules that protect the application from this attack, then apply it to the ALB.
Test to ensure the vulnerability has been mitigated, then redirect the Route 53 records to point to the ALB. Update security groups on the EC2 instances to prevent direct access from the internet. - D. Update the security group that is attached to the EC2 instances, removing access from the internet to the TCP port used by the SQL database. Create an AWS WAF web ACL containing rules that protect the application from this attack, then apply it to the EC2 instances.
Answer: C
Explanation:
AWS WAF provides managed and custom rules that can immediately mitigate common web exploits such as SQL injection without modifying application code. According to AWS Certified Security - Specialty documentation, placing AWS WAF in front of an Application Load Balancer is a recommended rapid- response control for legacy applications with known vulnerabilities.
Creating an ALB in front of the existing EC2 instances allows seamless traffic migration. AWS WAF SQL injection rules can be deployed and tested without downtime. Updating Route 53 to point to the ALB preserves normal operations. Restricting EC2 security groups afterward prevents bypassing the WAF.
Option B introduces CloudFront changes and single-origin testing, increasing complexity. Option C cannot be completed within 24 hours and risks downtime. Option D is invalid because AWS WAF cannot be attached directly to EC2 instances.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS WAF Web ACL Architecture
AWS Application Load Balancer Security
NEW QUESTION # 89
A company is using Amazon Elastic Container Service (Amazon ECS) to deploy an application that deals with sensitive data. During a recent security audit, the company identified a security issue in which Amazon RDS credentials were stored with the application code in the company ' s source code repository. A security engineer needs to develop a solution to ensure that database credentials are stored securely and rotated periodically. The credentials should be accessible to the application only. The engineer also needs to prevent database administrators from sharing database credentials as plaintext with other teammates. The solution must also minimize administrative overhead.
Which solution meets these requirements?
- A. Use AWS Secrets Manager to store database credentials. Use IAM roles for ECS tasks to restrict access to database credentials to specific containers only.
- B. Use the AWS Systems Manager Parameter Store to generate database credentials. Use an IAM profile for ECS tasks to restrict access to database credentials to specific containers only.
- C. Use AWS Secrets Manager to store database credentials. Use an IAM inline policy for ECS tasks to restrict access to database credentials to specific containers only.
- D. Use the AWS Systems Manager Parameter Store to store database credentials. Use IAM roles for ECS tasks to restrict access to database credentials to specific containers only.
Answer: A
Explanation:
AWS Secrets Manageris the AWS service designed to store secrets securely and to supportautomatic rotationon a schedule-commonly used for Amazon RDS credentials. Storing credentials in Secrets Manager removes them from source code, enables fine-grained access control, and supports auditability of secret retrieval through CloudTrail. Rotation can be configured to periodically change the database password and update the stored secret automatically, minimizing operational overhead compared to manual rotation processes.
To ensure the credentials are accessibleonly to the application, the correct ECS pattern is to useIAM roles for tasks. A task role can be scoped to allow only secretsmanager:GetSecretValue (and related actions if needed) for the specific secret ARN. Only tasks running with that role can retrieve the secret at runtime, which prevents broad access. This also helps reduce the risk of database administrators sharing plaintext credentials, because the recommended operational model is that humans should not need direct access; the application retrieves the secret programmatically, and access can be limited to break-glass workflows if required.
Systems Manager Parameter Store can store encrypted parameters, but Secrets Manager provides stronger native secret lifecycle features (notably rotation) for databases. Inline policies (Option B) are not necessary; managed or attached policies on the task role achieve the same goal with cleaner administration.
NEW QUESTION # 90
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. 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.
- C. 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.
- D. 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.
Answer: C
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 # 91
A company has a VPC that has no internet access and has the private DNS hostnames option enabled. An Amazon Aurora database is running inside the VPC. A security engineer wants to use AWS Secrets Manager to automatically rotate the credentials for the Aurora database. The security engineer configures the Secrets Manager default AWS Lambda rotation function to run inside the same VPC that the Aurora database uses.
However, the security engineer determines that the password cannot be rotated properly because the Lambda function cannot communicate with the Secrets Manager endpoint.
What is the MOST secure way that the security engineer can give the Lambda function the ability to communicate with the Secrets Manager endpoint?
- A. Add an interface VPC endpoint to the VPC to allow access to the Secrets Manager endpoint.
- B. Add a NAT gateway to the VPC to allow access to the Secrets Manager endpoint.
- C. Add an internet gateway for the VPC to allow access to the Secrets Manager endpoint.
- D. Add a gateway VPC endpoint to the VPC to allow access to the Secrets Manager endpoint.
Answer: A
Explanation:
AWS Secrets Manager is a regional service that is accessed through private AWS endpoints. In a VPC without internet access, AWS recommends using AWS PrivateLink through interface VPC endpoints to enable secure, private connectivity to supported AWS services. According to AWS Certified Security - Specialty documentation, interface VPC endpoints allow resources within a VPC to communicate with AWS services without traversing the public internet, NAT devices, or internet gateways.
An interface VPC endpoint for Secrets Manager creates elastic network interfaces (ENIs) within the VPC subnets and assigns private IP addresses that route traffic directly to the Secrets Manager service. Because the VPC has private DNS enabled, the standard Secrets Manager DNS hostname resolves to the private IP addresses of the interface endpoint, allowing the Lambda rotation function to communicate securely and transparently.
Option A introduces unnecessary complexity and expands the attack surface by allowing outbound internet access. Option B is incorrect because gateway VPC endpoints are supported only for Amazon S3 and Amazon DynamoDB. Option D violates the security requirement by exposing the VPC to the internet.
AWS security best practices explicitly recommend interface VPC endpoints as the most secure connectivity method for private VPC workloads accessing AWS managed services.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS Secrets Manager Security Architecture
AWS PrivateLink and Interface VPC Endpoints Documentation
NEW QUESTION # 92
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. Add the AWSKeyManagementServicePowerUser AWS managed policy to the service provider's role.
- B. Migrate the key to AWS Certificate Manager (ACM) to create a shared endpoint for access to the key.
- C. Ensure that the S3 bucket policy allows access to the service provider's role to decrypt objects.
- 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 # 93
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