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NEW QUESTION # 87
A company has a web application that reads from and writes to an Amazon S3 bucket. The company needs to authenticate all S3 API calls with AWS credentials. Which solution will provide the application with AWS credentials?
Answer: A
Explanation:
Amazon Cognito identity pools provide temporary AWS credentials by exchanging web identity tokens with AWS STS using AssumeRoleWithWebIdentity. According to AWS Certified Security - Specialty documentation, this is the correct mechanism for granting applications AWS credentials.
User pools authenticate users but do not issue AWS credentials. Identity pools integrate with IAM roles and STS, enabling secure, temporary access to AWS services.
NEW QUESTION # 88
A company is implementing new compliance requirements to meet customer needs. According to the new requirements, the company must not use any Amazon RDS DB instances or DB clusters that lack encryption of the underlying storage. The company needs a solution that will generate an email alert when an unencrypted DB instance or DB cluster is created. The solution also must terminate the unencrypted DB instance or DB cluster.
Which solution will meet these requirements in the MOST operationally efficient manner?
Answer: C
Explanation:
AWS Config provides managed rules that continuously evaluate resource configurations against compliance requirements. The AWS Certified Security - Specialty documentation highlights AWS Config managed rules as the preferred mechanism for enforcing configuration compliance at scale. The managed rule for encrypted RDS storage automatically detects DB instances and clusters that are created without encryption enabled.
By configuring automatic remediation, AWS Config can immediately invoke corrective actions without manual intervention. Integrating remediation with an Amazon SNS topic enables automated email notifications, while an AWS Lambda function can terminate the noncompliant resource. This creates a fully automated detect-alert-remediate workflow.
Option B requires manual remediation, which increases operational effort and delays enforcement. Options C and D rely on Amazon EventBridge, which evaluates events rather than configuration state and does not provide continuous compliance monitoring. AWS Config is explicitly designed for configuration compliance and governance use cases.
This solution aligns with AWS governance best practices by combining continuous monitoring, automated remediation, and centralized alerting with minimal operational overhead.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS Config Managed Rules
AWS Config Automatic Remediation
NEW QUESTION # 89
A security engineer needs to implement a logging solution that captures detailed information about objects in an Amazon S3 bucket. The solution must include details such as the IAM identity that makes the request and the time the object was accessed. The data must be structured and available in near real time.
Which solution meets these requirements?
Answer: D
Explanation:
AWS CloudTrail data event logging is the correct solution because it is specifically designed to capture detailed, structured, and near-real-time API activity for Amazon S3 object-level operations. When S3 data events are enabled, CloudTrail records actions such as GetObject, PutObject, and DeleteObject, along with critical context including the IAM principal, source IP address, event time, request parameters, and response elements. These logs are delivered in JSON format, making them highly structured and suitable for security analysis, SIEM integration, and automated detection workflows.
Amazon S3 server access logging (option A) provides basic request-level information but does not include full IAM identity context and is delivered with a significant delay, which does not meet the near-real-time requirement. AWS Config (option C) focuses on resource configuration changes and compliance evaluation; it does not log object-level access events. Amazon Macie (option D) is a data security service that uses machine learning to discover and classify sensitive data in S3 and generate findings for anomalous access patterns, but it is not a comprehensive access logging solution.
AWS Security Specialty documentation clearly states that CloudTrail data events are the authoritative mechanism for auditing S3 object-level access with identity attribution and precise timestamps, making option B the correct and best-practice answer
NEW QUESTION # 90
A company needs to deploy AWS CloudFormation templates that configure sensitive database credentials. The company already uses AWS Key Management Service (AWS KMS) and AWS Secrets Manager. Which solution will meet the requirements?
Answer: A
Explanation:
AWS CloudFormation supports dynamic references to AWS Secrets Manager, which allow sensitive values to be retrieved securely at stack runtime. According to AWS Certified Security - Specialty guidance, dynamic references prevent secrets from being stored in plaintext in templates, stack metadata, or logs.
Using dynamic references ensures that secrets remain encrypted at rest and are accessed only when required. CloudFormation does not support SecureString parameters for Secrets Manager references, and encrypting templates does not prevent exposure during execution.
NEW QUESTION # 91
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 a native, fully managed mechanism to automatically transition or delete objects based on their age. According to the AWS Certified Security - Specialty Official Study Guide, S3 Lifecycle policies are the recommended and most secure method for 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.
NEW QUESTION # 92
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