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Amazon SCS-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Data Protection: This domain centers on protecting data at rest and in transit through encryption, key management, data classification, secure storage, and backup mechanisms.
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	Security Foundations and Governance: This domain addresses foundational security practices including policies, compliance frameworks, risk management, security automation, and audit procedures for AWS environments.

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Amazon AWS Certified Security - Specialty Sample Questions (Q104-Q109):

NEW QUESTION # 104
A company uses AWS Organizations to manage the company's AWS accounts. The company's security team needs to implement preventive controls to deny the use of account- level root credentials. The solution must minimize the risk that an AWS account root user could be compromised. The solution must also minimize the effort needed to manage root access.
Which solution will meet these requirements?

A. Enable centralized root access management through AWS Security Hub CSPM. Remove long- term root credentials in the member accounts. Configure new accounts to be created without root credentials in Security Hub CSPM.
B. Enable centralized root access management in IAM. Remove long-term root credentials in the member accounts. Create a company policy that requires employees to use Organizations to create new accounts.
C. Create an AWS Lambda function to disable the root user in every member account. Enable the root account only if the company needs it to modify settings related to centralized billing or the recovery of AWS KMS keys.
D. Configure an SCP to explicitly deny all actions when the principal is the root user of an account for all member accounts. Require that member account root users have MFA enabled. Require that root credentials are rotated on a regular schedule.

Answer: B

NEW QUESTION # 105
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. 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.
B. 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.
C. 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.
D. 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.

Answer: A

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 # 106
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?

A. Create an Amazon Elastic File System (Amazon EFS) file system and add a command in the user data section of the Auto Scaling launch template to mount the EFS file system during EC2 instance creation.
Configure a process on the instance to copy the logs once a day from an instance Amazon Elastic Block Store (Amazon EBS) volume to a directory in the EFS file system.
B. Within the Auto Scaling lifecycle, add a hook to create and attach an Amazon Elastic Block Store (Amazon EBS) log volume each time an EC2 instance is created. When the instance is terminated, the EBS volume can be reattached to another instance for log review.
C. Add an Amazon CloudWatch agent into the AMI used in the Auto Scaling group. Configure the CloudWatch agent to send the logs to Amazon CloudWatch Logs for review.
D. Within the Auto Scaling lifecycle, add a lifecycle hook at the terminating state transition and alert the engineering team by using a lifecycle notification to Amazon Simple Notification Service (Amazon SNS). Configure the hook to remain in the Terminating:Wait state for 1 hour to allow manual review of the security logs prior to instance termination.

Answer: C

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.
Option A adds complexity and still ties durability to managing volumes across instance churn, with operational risk and scaling challenges. Option B requires daily copy jobs and can still lose logs between copy intervals; it also adds shared filesystem management overhead. Option D is manual and does not ensure durability, and it introduces operational friction during scale-in. Therefore, centralized log shipping to CloudWatch Logs is the best recommendation.

NEW QUESTION # 107
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?

A. Enable AWS CloudTrail data event logging. Create a new S3 bucket to store the logs. Analyze the logs from the logging S3 bucket.
B. Enable Amazon Macie to log access to the objects stored in the S3 bucket.
C. Configure AWS Config rules to log access to the objects stored in the S3 bucket.
D. Enable Amazon S3 server access logging on the S3 bucket. Create a new S3 bucket to store the logs. Analyze the logs from the logging S3 bucket.

Answer: A

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.

NEW QUESTION # 108
A company sends Apache logs from EC2 Auto Scaling instances to a CloudWatch Logs log group with 1-year retention. A suspicious IP address appears in logs. A security engineer needs to analyze the past week of logs to count requests from that IP and list requested URLs.
What should the engineer do with the LEAST effort?

A. Use CloudWatch Logs Insights with queries.
B. Export to S3 and use Macie.
C. Export to S3 and use AWS Glue.
D. Stream to OpenSearch and analyze.

Answer: A

Explanation:
CloudWatch Logs Insights is a managed, on-demand query capability designed to search and analyze log data stored in CloudWatch Logs without moving the data elsewhere. AWS Certified Security - Specialty documentation highlights Logs Insights as the lowest-effort method for rapid investigations, because it supports filtering, parsing, aggregation, and time-range queries directly over existing log groups. In this scenario, the logs already exist in CloudWatch Logs with sufficient retention. The engineer can write a query that filters for the suspicious IP address, counts occurrences over the last 7 days, and extracts requested URLs using parsing functions. This satisfies both requirements (count and URLs) immediately, without building pipelines or exporting data. Option B adds operational overhead by provisioning and maintaining OpenSearch ingestion and indexing. Options A and D require exporting data and additional services that are not necessary for a one-week forensic query. Therefore, Logs Insights is the most efficient and cost-effective approach.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon CloudWatch Logs Insights Querying and Investigation Workflows

NEW QUESTION # 109
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