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Amazon SCS-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Incident Response: This domain addresses responding to security incidents through automated and manual strategies, containment, forensic analysis, and recovery procedures to minimize impact and restore operations.
Topic 2
  • Identity and Access Management: This domain deals with controlling authentication and authorization through user identity management, role-based access, federation, and implementing least privilege principles.
Topic 3
  • Infrastructure Security: This domain focuses on securing AWS infrastructure including networks, compute resources, and edge services through secure architectures, protection mechanisms, and hardened configurations.
Topic 4
  • Detection: This domain covers identifying and monitoring security events, threats, and vulnerabilities in AWS through logging, monitoring, and alerting mechanisms to detect anomalies and unauthorized access.

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Amazon AWS Certified Security - Specialty Sample Questions (Q38-Q43):

NEW QUESTION # 38
A company is running an application on Amazon EC2 instances in an Auto Scaling group. The application stores logs locally. A security engineer noticed that logs were lost after a scale-in event. The security engineer needs to recommend a solution to ensure the durability and availability of log data. All logs must be kept for a minimum of 1 year for auditing purposes.
What should the security engineer recommend?

Answer: B

Explanation:
In an Auto Scaling group, instances are ephemeral--local disks and instance-level log files can disappear during scale-in or replacement. The most durable, operationally simple pattern is tostream logs off-host continuouslyto a managed log service. Installing and configuring theCloudWatch agent(or unified agent) to ship application logs toAmazon CloudWatch Logsensures logs are centralized and remain available regardless of instance lifecycle events.
This directly solves the "logs lost after scale-in" problem and provides high availability for audit and investigation.
CloudWatch Logs also supports retention controls. The security engineer can set the log group retention toat least 1 year(or longer), meeting the audit requirement without building custom storage workflows. Access can be controlled with IAM to restrict who can view or export logs, and CloudWatch logs can be further integrated with Athena/OpenSearch/SIEM tools if needed.


NEW QUESTION # 39
A corporate cloud security policy states that communications between the company's VPC and KMS must travel entirely within the AWS network and not use public service endpoints.
Which combination of the following actions MOST satisfies this requirement? (Choose two.)

Answer: D,E

Explanation:
To ensure traffic from a VPC to AWS KMS stays on the AWS network and does not use public endpoints, you should use aninterface VPC endpoint (AWS PrivateLink) for KMS. Creating aVPC endpoint for KMS with private DNS enabled(Option C) causes standard KMS DNS names (for example, kms.<region>.amazonaws.com) to resolve to theprivateendpoint IPs inside the VPC, routing requests over the AWS private network rather than through the internet. This is the core networking control that satisfies "no public service endpoints." To enforce that only calls that come through the intended VPC endpoint can use the key, add an authorization guardrail in theKMS key policyusing the aws:sourceVpce condition (Option A). This ensures that even if a principal has credentials, KMS will deny usage unless the request is made via the specified VPC endpoint, preventing accidental or malicious use over public paths.


NEW QUESTION # 40
A company runs critical workloads in an on-premises data center. The company wants to implement an AWS based disaster recovery (DR) solution that will achieve an RTO of less than 1 hour. The company needs to continuously replicate physical and virtual servers. The company must optimize costs for data storage and bandwidth usage. The DR solution must be automated.
Which solution will meet these requirements?

Answer: C

Explanation:
AWS Elastic Disaster Recovery (AWS DRS)is purpose-built for continuously replicatingphysical and virtual serversinto AWS with low RTO/RPO. It uses lightweight replication agents to stream block- level changes to a low-coststaging areain AWS, which helps optimize storage costs (only the staging resources run continuously) and reduces bandwidth usage through efficient replication mechanisms. In a disaster or test, AWS DRS can automatically launch recovery instances in AWS based on a defined blueprint (instance types, networking, security groups), enabling rapid failover workflows that commonly meetsub-hour RTOobjectives.


NEW QUESTION # 41
A security engineer is designing a solution that will provide end-to-end encryption between clients and Docker containers running in Amazon Elastic Container Service (Amazon ECS). This solution must also handle volatile traffic patterns.
Which solution would have the MOST scalability and LOWEST latency?

Answer: A

Explanation:
Network Load Balancers operate at Layer 4 and are optimized for extreme performance, ultra-low latency, and handling sudden traffic spikes. According to AWS Certified Security - Specialty documentation, using a TCP listener on an NLB allows TLS traffic to pass through directly to backend containers without termination, preserving true end-to-end encryption.
This approach eliminates the overhead of decrypting and re-encrypting traffic at the load balancer, reducing latency and maximizing throughput. NLBs scale automatically to handle volatile traffic patterns and millions of requests per second.
Application Load Balancers operate at Layer 7 and introduce additional latency due to TLS termination and HTTP processing. Route 53 multivalue routing does not provide load balancing at the transport layer and does not ensure encryption handling.
AWS recommends NLB TCP pass-through for high-performance, end-to-end encrypted container workloads.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Elastic Load Balancing Architecture
Network Load Balancer Performance Characteristics


NEW QUESTION # 42
A security engineer is troubleshooting an AWS Lambda function that is
namedMyLambdaFunction. The function is encountering an error when the function attempts to read the objects in an Amazon S3 bucket that is namedDOC-EXAMPLE-BUCKET. The S3 bucket has the following bucket policy:
{
"Effect": "Allow",
"Principal": { "Service": "lambda.amazonaws.com" },
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::DOC-EXAMPLE-BUCKET",
"Condition": {
"ArnLike": {
"aws:SourceArn": "arn:aws:lambda:::function:MyLambdaFunction"
}
}
}
Which change should the security engineer make to the policy to ensure that the Lambda function can read the bucket objects?

Answer: B

Explanation:
The policy currently grants s3:GetObject but targets thebucket ARN(arn:aws:s3:::DOC- EXAMPLE- BUCKET). For Amazon S3, object-level actions such asGetObjectmust referenceobject ARNs, not the bucket ARN. The correct resource pattern is the bucket ARNwith
/*appended (for example, arn:aws:s3:::DOC-EXAMPLE-BUCKET/*) so the permission applies to objects within the bucket. Without this, S3 evaluates the request against a resource that does not match the requested object, resulting in an access denial even though the action appears correct.


NEW QUESTION # 43
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