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Amazon AWS Certified Security – Specialty Sample Questions (Q59-Q64):

NEW QUESTION # 59
A company has an encrypted Amazon Aurora DB cluster in the us-east-1 Region that uses an AWS KMS customer managed key. The company must copy a DB snapshot to the us-west-1 Region but cannot access the encryption key across Regions.
What should the company do to properly encrypt the snapshot in us-west-1?

A. Create an IAM policy that allows RDS in us-west-1 to access the key in us-east-1.
B. Create a new customer managed key in us-west-1 and use it to encrypt the snapshot.
C. Create an IAM policy to allow access to the key in us-east-1 from us-west-1.
D. Store the customer managed key in AWS Secrets Manager in us-west-1.

Answer: B

Explanation:
AWS KMS keys are strictly regional resources. According to AWS Certified Security - Specialty documentation, a KMS key created in one Region cannot be used to encrypt or decrypt data in another Region. This includes encrypted RDS and Aurora snapshots.
When copying an encrypted snapshot to a different Region, the destination Region must have its own KMS key. AWS automatically re-encrypts the snapshot using the specified KMS key in the destination Region during the copy operation.
Options C and D are invalid because IAM policies cannot extend a KMS key's scope across Regions. Option A is incorrect because Secrets Manager does not store or manage KMS keys themselves.
AWS best practices require creating a new customer managed key in the target Region and using it during the snapshot copy process.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS KMS Regional Key Limitations
Amazon RDS Encrypted Snapshot Copy

NEW QUESTION # 60
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 a key policy to allow the infrastructure deployment team to create encrypted Amazon Elastic Block Store (Amazon EBS) volumes by assuming the InfrastructureDeployment IAM role. The security engineer recently discovered that IAM roles other than the InfrastructureDeployment role used this key for other services.
Which change to the policy should the security engineer make to resolve these issues?

A. In the policy document, add a new statement block that grants the kms:Disable* permission to the security engineer's IAM role.
B. In the statement block that contains the Sid "Allow use of the key", under the "Condition" block, change StringEquals to StringLike.
C. In the policy document, remove the statement block that contains the Sid "Enable IAM User Permissions". Add key management policies to the KMS policy.
D. In the statement block that contains the Sid "Allow use of the key", under the "Condition" block, change the kms:ViaService value to ec2.us-east-1.amazonaws.com.

Answer: D

Explanation:
AWS KMS key policies can restrict how and where a key is used by leveraging condition keys such as kms:
ViaService. According to the AWS Certified Security - Specialty documentation, kms:ViaService limits key usage to requests that originate from a specific AWS service in a specific Region. If this condition is overly broad or incorrect, other IAM roles and services may unintentionally use the key.
By explicitly setting the kms:ViaService condition value to ec2.us-east-1.amazonaws.com, the key policy ensures that the KMS key can only be used when requests are made through the Amazon EC2 service in that Region, such as for EBS volume encryption. This prevents other services or unintended IAM roles from using the key.
Option A weakens the condition logic and can broaden access. Option B removes essential permissions that allow IAM policies to function with KMS keys and is not recommended. Option D relates to administrative control of the key, not service-level usage restrictions.
AWS best practices recommend using kms:ViaService and precise condition values to enforce service- specific key usage and strong separation of duties.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS KMS Key Policy Condition Keys
AWS KMS Best Practices

NEW QUESTION # 61
A company must capture AWS CloudTrail data events and must retain the logs for 7 years. The logs must be immutable and must be available to be searched by complex queries. The company also needs to visualize the data from the logs.
Which solution will meet these requirements MOST cost-effectively?

A. Send the CloudTrail logs to an Amazon S3 bucket. Provision a persistent Amazon EMR cluster that has access to the S3 bucket. Enable S3 Object Lock on the S3 bucket. Use Apache Spark to perform queries. Use Amazon QuickSight for visualizations.
B. Create a CloudTrail Lake data store. Implement CloudTrail Lake dashboards to visualize and query the results.
C. Use the CloudTrail Event History feature in the AWS Management Console. Visualize and query the results in the console.
D. Send the CloudTrail logs to a log group in Amazon CloudWatch Logs. Set the CloudWatch Logs stream to send the data to an Amazon OpenSearch Service domain. Enable cold storage for the OpenSearch Service domain. Use OpenSearch Dashboards for visualizations and queries.

Answer: B

Explanation:
AWS CloudTrail Lake is purpose-built to store, query, and analyze CloudTrail events, including data events, without requiring additional infrastructure. The AWS Certified Security - Specialty documentation explains that CloudTrail Lake provides immutable event storage with configurable retention periods, including multi- year retention, which satisfies long-term compliance requirements such as 7-year retention. Events are stored in an append-only, immutable format managed by AWS, reducing operational complexity.
CloudTrail Lake supports SQL-based queries for complex analysis directly against the event data, eliminating the need to export logs to other services for querying. Additionally, CloudTrail Lake includes built-in dashboards and integrations that enable visualization of event trends and patterns without standing up separate analytics or visualization platforms.
Option B is invalid because CloudTrail Event History only retains events for up to 90 days and does not support long-term retention or advanced querying. Option C introduces high operational overhead and cost by requiring persistent Amazon EMR clusters and additional services. Option D incurs ongoing ingestion, indexing, and storage costs for OpenSearch Service over a 7-year period, making it less cost-effective than CloudTrail Lake.
AWS documentation positions CloudTrail Lake as the most cost-effective and operationally efficient solution for long-term, queryable CloudTrail event storage and visualization.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS CloudTrail Lake Architecture and Retention
AWS CloudTrail Data Events Overview

NEW QUESTION # 62
A company must immediately disable compromised IAM users across all AWS accounts and collect all actions performed by the user in the last 7 days.
Which solution will meet these requirements?

A. Remove IAM policies and query logs in Security Hub.
B. Remove permission sets and query logs using CloudWatch Logs Insights.
C. Disable the user in IAM Identity Center and query the organizational event data store.
D. Disable the IAM user and query CloudTrail logs in Amazon S3 using Athena.

Answer: C

Explanation:
AWS IAM Identity Center centrally manages user access across an AWS Organization. Disabling the user in Identity Center immediately revokes access to all AWS accounts. According to AWS Certified Security - Specialty documentation, organizational CloudTrail event data stores provide centralized, queryable access to all events across accounts.
Using CloudTrail Lake enables direct querying of activity without exporting logs. Disabling the user at the Identity Center level ensures full containment.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS IAM Identity Center Incident Response
AWS CloudTrail Lake

NEW QUESTION # 63
A company has several Amazon S3 buckets that do not enforce encryption in transit. A security engineer must implement a solution that enforces encryption in transit for all the company's existing and future S3 buckets.
Which solution will meet these requirements?

A. Enable Amazon Inspector. Create a custom AWS Lambda rule. Create a Lambda function that applies a bucket policy to deny requests when the value of the aws:SecureTransport condition key is False. Set the Lambda function as the target of the rule.
B. Enable AWS Config. Create a proactive AWS Config Custom Policy rule. Create a Guard clause to evaluate the S3 bucket policies to check for a value of True for the aws:SecureTransport condition key.
If the AWS Config rule evaluates to NON_COMPLIANT, block resource creation.
C. Enable AWS Config. Configure the s3-bucket-ssl-requests-only AWS Config managed rule and set the rule trigger type to Hybrid. Create an AWS Systems Manager Automation runbook that applies a bucket policy to deny requests when the value of the aws:SecureTransport condition key is False.
Configure automatic remediation. Set the runbook as the target of the rule.
D. Create an AWS CloudTrail trail. Enable S3 data events on the trail. Create an AWS Lambda function that applies a bucket policy to deny requests when the value of the aws:SecureTransport condition key is False. Configure the CloudTrail trail to invoke the Lambda function.

Answer: C

Explanation:
To enforce encryption in transit for Amazon S3, AWS best practice is to require HTTPS (TLS) by using a bucket policy condition that denies any request where aws:SecureTransport is false. The requirement includes both existing buckets and future buckets, so the control must continuously evaluate configuration drift and automatically remediate. AWS Config is the service intended for continuous configuration compliance monitoring across resources, and AWS Config managed rules provide standardized checks with low operational overhead. The s3-bucket-ssl-requests-only managed rule evaluates whether S3 buckets enforce SSL-only requests, aligning directly with enforcing encryption in transit. Setting the trigger type to Hybrid ensures evaluation both on configuration changes and periodically. Automatic remediation with an AWS Systems Manager Automation runbook allows the organization to apply or correct the bucket policy consistently at scale without manual work. This approach also supports governance by maintaining a measurable compliance status while actively fixing noncompliance. Option A is not the best fit because a
"proactive" custom policy rule does not by itself remediate existing buckets and "block resource creation" is not how AWS Config enforces controls. Option C is incorrect because Amazon Inspector is a vulnerability management service and does not govern S3 bucket transport policies. Option D is inefficient and indirect because CloudTrail data events are not a compliance engine and would require custom processing.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS Config Managed Rules for S3 Compliance
Amazon S3 Security Best Practices for SSL-only Access

NEW QUESTION # 64
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Amazon AWS Certified Security – Specialty Sample Questions (Q59-Q64):

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