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Amazon AWS Certified Security - Specialty Sample Questions (Q98-Q103):

NEW QUESTION # 98
A company allows users to download its mobile app onto their phones. The app is MQTT based and connects to AWS IoT Core to subscribe to specific client-related topics. Recently, the company discovered that some malicious attackers have been trying to get a Trojan horse onto legitimate mobile phones. The Trojan horse poses as the authentic application and uses a client ID with injected special characters to gain access to topics outside the client's privilege scope.
Which combination of actions should the company take to prevent this threat? (Choose two.)

Answer: A,B

Explanation:
The threat is client ID manipulation to break authorization boundaries. The strongest control is tobind the MQTT client identity to the authenticated device identity(the Thing) rather than trusting arbitrary client IDs provided by the client. Using theThing name as the client ID(Option A) removes ambiguity and makes the identifier predictable and tied to a registered identity.
On the authorization side, AWS IoT Core policies can use policy variables. Allowing iot:Connect only when the resource matches client/${iot:Connection.Thing.ThingName} (Option E) ensures the connection is permittedonlyif the client ID exactly equals the authenticated Thing name from the TLS certificate/Thing principal context. This prevents attackers from injecting special characters or choosing a different client ID to escalate access, because the policy evaluation ties the allowed client resource to the Thing identity, not the attacker-controlled string.


NEW QUESTION # 99
A company needs to log object-level activity in its Amazon S3 buckets. The company also needs to validate the integrity of the log file by using a digital signature. Which solution will meet these requirements?

Answer: A

Explanation:
Enabling AWS CloudTrail with log file validation and data events for Amazon S3 provides object- level logging for S3 buckets and ensures log file integrity through digital signatures. CloudTrail data events capture detailed records of object-level activity, such as read and write operations, in S3 buckets. By enabling log file validation, CloudTrail adds a digital signature to each log file, allowing you to verify its integrity.


NEW QUESTION # 100
A company wants to store all objects that contain sensitive data in an Amazon S3 bucket. The company will use server-side encryption to encrypt the S3 bucket. The company's operations team manages access to the company's S3 buckets. The company's security team manages access to encryption keys. The company wants to separate the duties of the two teams to ensure that configuration errors by only one of these teams will not compromise the data by granting unauthorized access to plaintext data.
Which solution will meet this requirement?

Answer: C

Explanation:
To achieve true separation of duties, the company needs a design whereS3 access alone is not sufficientto read plaintext data.SSE-KMS with a customer managed KMS keyprovides that separation because successful object reads require both: (1) S3 permissions to read the object and (2) permission to use the KMS key to decrypt it. This enables the operations team to manage bucket and object permissions while the security team independently controls key usage through theKMS key policy(and grants). If either team misconfigures only their part, the data is still protected: an overly permissive bucket policy won't expose plaintext unless KMS decrypt is also allowed; similarly, KMS permissions alone are not sufficient without S3 read access.


NEW QUESTION # 101
A company must inventory sensitive data across all Amazon S3 buckets in all accounts from a single security account.

Answer: C

Explanation:
Amazon Macie is the AWS service designed to discover and classify sensitive data in S3. Delegated administration enables centralized visibility across an organization. Security Hub aggregates Macie findings for a single-pane-of-glass view.
Inspector does not scan S3 data. Trusted Advisor is not a sensitive data discovery tool.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Macie Multi-Account Architecture


NEW QUESTION # 102
A company is running a containerized application on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The application runs as several ECS services.
The ECS services are in individual target groups for an internet-facing Application Load Balancer (ALB). The ALB is the origin for an Amazon CloudFront distribution. An AWS WAF web ACL is associated with the CloudFront distribution.
Web clients access the ECS services through the CloudFront distribution. The company learns that the web clients can bypass the web ACL and can access the ALB directly.
Which solution will prevent the web clients from directly accessing the ALB?

Answer: D

Explanation:
The correct solution is option D because it effectively prevents direct access to the internet-facing ALB while allowing legitimate traffic that originates from Amazon CloudFront. By configuring CloudFront to include a custom HTTP header (such as X-Shared-Secret) in all origin requests, and then configuring ALB listener rules to only forward requests that contain the expected header value, the ALB will reject any requests that bypass CloudFront.
This approach is a documented AWS best practice when CloudFront is placed in front of an ALB and AWS WAF is associated with the CloudFront distribution. AWS WAF only evaluates traffic that flows through CloudFront; therefore, preventing direct access to the ALB is critical to ensure that all requests are inspected by the web ACL.


NEW QUESTION # 103
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