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Amazon SCS-C03 Exam Syllabus Topics:
| Section |
Weight |
Objectives |
| Threat Detection and Incident Response |
14% |
- Detection mechanisms
- 1. Amazon GuardDuty threat detection
- 2. AWS Security Hub findings aggregation
- Incident response procedures
- 1. Identify and investigate security incidents in AWS environments
- 2. Automate response using AWS services (Lambda, CloudWatch, EventBridge)
|
| Logging and Monitoring |
18% |
- Monitoring and alerting
- 1. Amazon CloudWatch metrics and alarms
- 2. Centralized security monitoring strategies
- Audit logging
- 1. AWS Config configuration tracking
- 2. AWS CloudTrail logging and analysis
|
| Management, Governance and Compliance |
14% |
- Governance frameworks
- 1. Multi-account security strategy
- 2. AWS Organizations and SCPs
- Compliance and auditing
- 1. Security best practices alignment (CIS, NIST)
- 2. AWS Artifact compliance reports
|
| Identity and Access Management |
16% |
- AWS IAM fundamentals
- 1. Users, groups, roles, and policies
- 2. Least privilege access design
- Federation and access control
- 1. IAM Identity Center (SSO)
- 2. Federated identity with SAML/OIDC
|
| Infrastructure Security |
20% |
- Network security
- 1. Security groups and NACLs
- 2. VPC design and segmentation
- Compute security
- 1. Container security (ECS/EKS basics)
- 2. EC2 instance hardening
|
| Data Protection |
18% |
- Encryption and key management
- 1. AWS KMS key management
- 2. Encryption at rest and in transit
- Data security services
- 1. Amazon S3 security controls
- 2. Secrets Manager and Parameter Store
|
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最新的 AWS Certified Specialty SCS-C03 免費考試真題 (Q45-Q50):
問題 #45
A company has enabled AWS Config for its organization in AWS Organizations. The company has deployed hundreds of Amazon S3 buckets across the organization. A security engineer needs to identify any S3 buckets that are not encrypted with AWS Key Management Service (AWS KMS). The security engineer also must prevent objects that are not encrypted with AWS KMS from being uploaded to the S3 buckets.
Which solution will meet these requirements?
- A. Use thes3-bucket-ssl-requests-onlyAWS Config managed rule to identify unencrypted S3 buckets.
Create bucket policies for each S3 bucket to allow thes3:PutObjectaction only when the object is encrypted with AWS KMS.
- B. Use thes3-default-encryption-kmsAWS Config managed rule to identify unencrypted S3 buckets.
Create bucket policies for each S3 bucket to deny thes3:PutObjectaction only when the object has server-side encryption with S3 managed keys (SSE-S3).
- C. Use thes3-bucket-ssl-requests-onlyAWS Config managed rule to identify unencrypted S3 buckets.
Create an SCP to allow thes3:PutObjectaction only when the object is encrypted with AWS KMS.
- D. Use thes3-default-encryption-kmsAWS Config managed rule to identify unencrypted S3 buckets.
Create an SCP to allow thes3:PutObjectaction only when the object is encrypted with AWS KMS.
答案:D
解題說明:
The correct Config rule for finding buckets that are not usingSSE-KMS by defaultiss3-default- encryption-kms. It evaluates the bucket's default encryption settings and flags buckets that do not have KMS default encryption enabled. The s3-bucket-ssl-requests-only rule focuses on enforcing HTTPS-only requests and does not validate encryption-at-rest settings, so it cannot satisfy the
"identify not encrypted with KMS" requirement.
For preventing uploads of objects that are not encrypted with KMS, an organization-wide control is needed. AnSCPcan restrict s3:PutObject so that uploads succeed only when the request specifiesSSE- KMS(and optionally a specific KMS key). This provides broad, low-touch enforcement across many accounts and buckets. While bucket policies can also enforce SSE- KMS, managing and verifying hundreds of bucket policies is more operationally heavy than a centrally managed SCP guardrail.
問題 #46
A company has a web application that reads from and writes to an Amazon S3 bucket. The company needs to authenticate all S3 API calls with AWS credentials.
Which solution will provide the application with AWS credentials?
- A. Use Amazon Cognito identity pools and AssumeRoleWithWebIdentity.
- B. Use Amazon Cognito user pools with access tokens.
- C. Use Amazon Cognito identity pools and the GetId API.
- D. Use Amazon Cognito user pools with ID tokens.
答案:A
解題說明:
Amazon Cognito identity pools provide temporary AWS credentials by exchanging web identity tokens with AWS STS using AssumeRoleWithWebIdentity. According to AWS Certified Security - Specialty documentation, this is the correct mechanism for granting applications AWS credentials.
User pools authenticate users but do not issue AWS credentials. Identity pools integrate with IAM roles and STS, enabling secure, temporary access to AWS services.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Cognito Identity Pools
AWS STS Web Identity Federation
問題 #47
A company needs to develop a code-signing application that will use a certificate authority (CA) to sign a code-signing certificate. The solution must use an AWS Key Management Service (AWS KMS) asymmetric key. The solution needs to collect and store immutable evidence about the creation, origin, and use of the KMS key for compliance purposes. This information must be made available to internal auditors.
Which solution meets these requirements?
- A. Implement logging for application operations that reference the KMS key. Ensure that the logs contain all associated metadata. Store the logs in an Amazon CloudWatch Logs log group.
Configure an automated export of the log group Send the export to the auditors.
- B. Set up Amazon CloudWatch Logs Insights with a custom metric to track KMS key usage. Visualize the metrics by using a CloudWatch dashboard with real-time monitoring. Configure CloudWatch alarms. Use a subscription filter to replicate the data to a separate account for the auditors to review.
- C. Create an Amazon DynamoDB table that the auditors can access. Create an AWS Lambda function that an Amazon EventBridge rule invokes. Configure the EventBridge rule to monitor KMS API calls. Configure the EventBridge rule to filter for all API calls that reference the KMS key ARN.
Configure the Lambda function to store the contents of the API calls in the DynamoDB table.
- D. Create an Amazon S3 bucket with S3 Object Lock enabled. Create an AWS CloudTrail trail with an event selector and log file validation enabled for all kms.amazonaws.com CreateKey events.
Configure the event selector to send the CreateKey events to the S3 bucket. Create the KMS key.
Update the event selector to filter for API calls that reference the KMS key ARN. Provide the auditors with access to the S3 bucket.
答案:D
解題說明:
AWS CloudTrail records AWS KMS key management and usage events, including key creation and API calls that reference the KMS key. Storing the validated CloudTrail logs in an S3 bucket with Object Lock provides immutable evidence for compliance, and auditors can be granted read access to review the key's creation, origin-related events, and subsequent use.
問題 #48
A company needs to identify the root cause of security findings and investigate IAM roles involved in those findings. The company has enabled VPC Flow Logs, Amazon GuardDuty, and AWS CloudTrail.
Which solution will meet these requirements?
- A. Export GuardDuty findings to S3 and analyze with Athena.
- B. Use Amazon Detective to investigate IAM roles and visualize findings.
- C. Use Security Hub custom actions to investigate IAM roles.
- D. Use Amazon Inspector and CloudWatch dashboards.
答案:B
解題說明:
Amazon Detective is specifically designed to help security teams investigate and visualize the root cause of security findings. According to AWS Certified Security - Specialty documentation, Detective automatically aggregates and correlates data from GuardDuty, CloudTrail, and VPC Flow Logs to provide interactive visualizations and timelines.
Detective enables investigators to pivot from GuardDuty findings to IAM roles, API calls, network traffic, and resource behavior. This makes it the most efficient tool for understanding how IAM roles were used during suspicious activity.
Amazon Inspector focuses on vulnerability assessment, not behavioral investigation. Security Hub aggregates findings but does not provide deep investigation graphs. Manual analysis with Athena requires significantly more effort.
AWS guidance explicitly recommends Amazon Detective for root cause analysis and visualization of security incidents.
Referenced AWS Specialty Documents:
AWS Certified Security - Specialty Official Study Guide
Amazon Detective Investigation Capabilities
AWS Threat Detection and Analysis
問題 #49
A company runs its microservices architecture in Kubernetes containers on AWS by using Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Aurora. The company has an organization in AWS Organizations to manage hundreds of AWS accounts that host different microservices.
The company needs to implement a monitoring solution for logs from all AWS resources across all accounts.
The solution must include automatic detection of security-related issues.
Which solution will meet these requirements with theLEAST operational effort?
- A. Stream CloudWatch Logs to Amazon Kinesis and analyze them with custom AWS Lambda functions.
- B. Centralize CloudTrail logs in Amazon S3 and analyze them with Amazon Athena.
- C. Designate an Amazon GuardDuty administrator account in the organization's management account.
Enable GuardDuty for all accounts. Enable EKS Protection and RDS Protection in the GuardDuty administrator account.
- D. Designate a monitoring account. Share Amazon CloudWatch Logs from all accounts. Use Amazon Inspector to evaluate the logs.
答案:C
解題說明:
Amazon GuardDuty is afully managed, organization-aware threat detection servicethat continuously analyzes AWS logs such as CloudTrail events, VPC Flow Logs, DNS logs, EKS audit logs, and RDS activity.
According to the AWS Certified Security - Specialty Official Study Guide, GuardDuty is designed to operate atscale across AWS Organizations with minimal operational overhead.
By designating a GuardDuty administrator account in the organization's management account and enabling GuardDuty organization-wide, the company can automatically enable threat detection across hundreds of AWS accounts. EnablingEKS Protectionallows GuardDuty to analyze Kubernetes audit logs for suspicious activity, whileRDS Protectionprovides anomaly detection for Amazon Aurora databases.
Options B, C, and D require custom log aggregation, processing, and analytics pipelines, which significantly increase operational effort and maintenance complexity. Amazon Inspector does not analyze logs, Athena- based analysis is manual, and Kinesis plus Lambda requires custom detection logic.
AWS documentation explicitly identifiesGuardDuty with AWS Organizations integrationas the recommended solution for centralized, automated threat detection across multi-account environments with minimal operational effort.
* AWS Certified Security - Specialty Official Study Guide
* Amazon GuardDuty User Guide
* GuardDuty Organization Administration Documentation
問題 #50
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