Amazon SCS-C03練習問題集、SCS-C03受験練習参考書

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Amazon SCS-C03 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Infrastructure Security: This domain focuses on securing AWS infrastructure including networks, compute resources, and edge services through secure architectures, protection mechanisms, and hardened configurations.
トピック 2	Data Protection: This domain centers on protecting data at rest and in transit through encryption, key management, data classification, secure storage, and backup mechanisms.
トピック 3	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.
トピック 4	Security Foundations and Governance: This domain addresses foundational security practices including policies, compliance frameworks, risk management, security automation, and audit procedures for AWS environments.
トピック 5	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.

>> Amazon SCS-C03練習問題集 <<

SCS-C03受験練習参考書 & SCS-C03対応内容

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Amazon AWS Certified Security - Specialty 認定 SCS-C03 試験問題 (Q154-Q159):

質問 # 154
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 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.
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 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.

正解：C

解説：
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.

質問 # 155
A security engineer wants to evaluate configuration changes to a specific AWS resource to ensure that the resource meets compliance standards. However, the security engineer is concerned about a situation in which several configuration changes are made to the resource in quick succession. The security engineer wants to record only the latest configuration of that resource to indicate the cumulative impact of the set of changes.
Which solution will meet this requirement in the MOST operationally efficient way?

A. Use AWS CloudTrail to detect the configuration changes by filtering API calls to monitor the changes.
Use the most recent API call to indicate the cumulative impact of multiple calls.
B. Use AWS Config to detect the configuration changes and to record the latest configuration in case of multiple configuration changes.
C. Use AWS Cloud Map to detect the configuration changes. Generate a report of configuration changes from AWS Cloud Map to track the latest state by using a sliding time window.
D. Use Amazon CloudWatch to detect the configuration changes by filtering API calls to monitor the changes. Use the most recent API call to indicate the cumulative impact of multiple calls.

正解：B

解説：
AWS Config is purpose-built torecord resource configuration stateand track how that state changes over time.
When multiple updates occur close together, AWS Config captures configuration items that represent the resource'scurrent recorded configuration, which is exactly what a compliance engineer needs to evaluate the final (cumulative) state after a burst of changes. AWS Config also integrates directly with compliance evaluation throughConfig rules, which can continuously assess whether the latest configuration meets required standards. This is the most operationally efficient approach because it avoids building custom log filtering, state reconstruction, or timing logic.
CloudTrail and CloudWatch-based approaches (Options A and C) captureAPI events, not authoritative
"current configuration state." Reconstructing the final configuration from a series of API calls can be error- prone, especially when changes are made by different services, via consoles, or through chained automation.
CloudTrail is excellent for "who did what and when," but AWS Config is the service that maintains thelatest configuration snapshotsuitable for compliance posture evaluation.
AWS Cloud Map (Option D) is for service discovery and naming, not compliance configuration history.
Therefore, AWS Config is the correct and most efficient solution.

質問 # 156
A security engineer wants to forward custom application-security logs from an Amazon EC2 instance to Amazon CloudWatch. The security engineer installs the CloudWatch agent on the EC2 instance and adds the path of the logs to the CloudWatch configuration file.
However, CloudWatch does not receive the logs. The security engineer verifies that the awslogs service is running on the EC2 instance.
What should the security engineer do next to resolve the issue?

A. Add Amazon Inspector to the trust policy of the EC2 instance. Use Amazon Inspector instead of the CloudWatch agent to collect the custom logs.
B. Add AWS CloudTrail to the trust policy of the EC2 instance. Send the custom logs to CloudTrail instead of CloudWatch.
C. Attach the CloudWatchAgentServerPolicy AWS managed policy to the EC2 instance role.
D. Add Amazon S3 to the trust policy of the EC2 instance. Configure the application to write the custom logs to an S3 bucket that CloudWatch can use to ingest the logs.

正解：C

解説：
The Amazon CloudWatch agent requires explicit IAM permissions to create log groups, create log streams, and put log events into Amazon CloudWatch Logs. According to the AWS Certified Security - Specialty Study Guide, the most common cause of CloudWatch agent log delivery failures is missing or insufficient IAM permissions on the EC2 instance role.
The CloudWatchAgentServerPolicy AWS managed policy provides the required permissions, including logs:
CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents. Attaching this policy to the EC2 instance role enables the CloudWatch agent to successfully deliver custom application logs without requiring changes to the application or logging configuration.
Options A, B, and C are incorrect because CloudTrail, Amazon S3, and Amazon Inspector are not designed to ingest custom application logs from EC2 instances in this manner. AWS documentation clearly states that IAM permissions must be granted to the EC2 role for CloudWatch Logs ingestion.
This approach aligns with AWS best practices for least privilege while ensuring reliable detection and monitoring capabilities.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon CloudWatch Logs Agent Configuration
AWS IAM Best Practices for Monitoring

質問 # 157
An AWS Lambda function was misused to alter data, and a security engineer must identify who invoked the function and what output was produced. The engineer cannot find any logs created by the Lambda function in Amazon CloudWatch Logs.
Which of the following explains why the logs are not available?

A. The execution role for the Lambda function did not grant permissions to write to the Amazon S3 bucket where CloudWatch Logs stores the logs.
B. The execution role for the Lambda function did not grant permissions to write log data to CloudWatch Logs.
C. The Lambda function was invoked by using Amazon API Gateway, so the logs are not stored in CloudWatch Logs.
D. The version of the Lambda function that was invoked was not current.

正解：B

解説：
AWS Lambda automatically sends function execution logs to Amazon CloudWatch Logs when logging is enabled in the function code. However, this logging capability depends on the Lambda execution role having the appropriate permissions. According to the AWS Certified Security - Specialty Study Guide, the execution role must include permissions such as logs:CreateLogGroup, logs:CreateLogStream, and logs:PutLogEvents.
If these permissions are missing, Lambda cannot create log groups or streams, and no execution logs will appear in CloudWatch Logs-even though the function was successfully invoked. This is the most common reason Lambda logs are unavailable during forensic investigations.
Option B is incorrect because Lambda logs are stored in CloudWatch Logs regardless of whether the invocation source is API Gateway, EventBridge, or another AWS service. Option C is incorrect because CloudWatch Logs does not require direct S3 permissions from the Lambda execution role. Option D is irrelevant because Lambda versions do not affect logging behavior.
AWS documentation emphasizes verifying execution role permissions as a first step when Lambda logs are missing.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
AWS Lambda Execution Roles
Amazon CloudWatch Logs Integration with Lambda

質問 # 158
A company uses AWS Config rules to identify Amazon S3 buckets that are not compliant with the company's data protection policy. The S3 buckets are hosted in several AWS Regions and several AWS accounts. The accounts are in an organization in AWS Organizations. The company needs a solution to remediate the organization ' s existing noncompliant S3 buckets and any noncompliant S3 buckets that are created in the future.
Which solution will meet these requirements?

A. Deploy an AWS Config aggregator that scopes only the accounts and Regions that the company currently uses. Create an AWS Lambda function that responds to AWS Config findings of noncompliant S3 buckets by deleting or reconfiguring the S3 buckets.
B. Deploy an AWS Config aggregator with organization-wide resource data aggregation. Create an AWS Lambda function that responds to AWS Config findings of noncompliant S3 buckets by deleting or reconfiguring the S3 buckets.
C. Deploy an AWS Config aggregator that scopes only the accounts and Regions that the company currently uses. Create an SCP that contains a Deny statement that prevents the creation of new noncompliant S3 buckets. Apply the SCP to all OUs in the organization.
D. Deploy an AWS Config aggregator with organization-wide resource data aggregation. Create an SCP that contains a Deny statement that prevents the creation of new noncompliant S3 buckets. Apply the SCP to all OUs in the organization.

正解：B

解説：
The requirement includesremediating existing noncompliant bucketsand also handlingfuture noncompliant bucketsacross multiple accounts and Regions. Anorganization-wide AWS Config aggregatorprovides centralized visibility into compliance status across all member accounts/Regions. To remediate, AWS Config can trigger automation (commonly via EventBridge/SNS) that invokes anAWS Lambda function(or SSM Automation) to take corrective action-such as enabling default encryption, blocking public access, or applying required bucket policies-whenever a bucket is evaluated as noncompliant. This addresses both existing findings (by running remediation on current noncompliant resources) and new ones (by automatically reacting when new buckets appear or configurations drift).
Options C and D are insufficient because they scope only to "accounts and Regions the company currently uses," which fails the multi-Region/multi-account organization requirement and would miss future expansion.
Option B helps prevent creation of new noncompliant resources but does not remediate existing buckets, which is explicitly required. Therefore, the combination of an org-wide aggregator plus automated remediation on Config noncompliance is the best fit.

質問 # 159
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2026年JPNTestの最新SCS-C03 PDFダンプおよびSCS-C03試験エンジンの無料共有：https://drive.google.com/open?id=1w1dqsPFPZz51z8gI6qfp9wm80T7R4LX-