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Amazon SCS-C03 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified Security - Specialty (SCS-C03)
Exam Number:SCS-C03
Exam Format:Multiple response, Multiple choice
Passing Score:750 (scaled score out of 1000)
Available Languages:English, Japanese, Simplified Chinese, Korean
Certificate Validity Period:3 years
Real Exam Qty:65 (multiple choice and multiple response)
Exam Duration:170 minutes
Related Certifications:AWS Certified Solutions Architect - Associate
AWS Certified SysOps Administrator - Associate
AWS Certified DevOps Engineer - Professional
AWS Certified Advanced Networking - Specialty
AWS Certified Solutions Architect - Professional
Exam Price:$300 USD
Recommended Training:AWS Skill Builder - Security Learning Path
AWS Certified Security - Specialty Exam Prep
Exam Registration:AWS Certification Portal
AWS Certification Official Registration
Sample Questions:Amazon SCS-C03 Sample Questions
Exam Way:Online proctored or testing center (onsite)
Pre Condition:No mandatory prerequisite, but recommended experience: 5+ years in IT security and 2+ years securing AWS workloads
Official Syllabus URL:https://aws.amazon.com/certification/certified-security-specialty/

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Amazon SCS-C03 Exam Syllabus Topics:

TopicDetails
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
  • Security Foundations and Governance: This domain addresses foundational security practices including policies, compliance frameworks, risk management, security automation, and audit procedures for AWS environments.
Topic 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.
Topic 4
  • 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 5
  • Infrastructure Security: This domain focuses on securing AWS infrastructure including networks, compute resources, and edge services through secure architectures, protection mechanisms, and hardened configurations.

Amazon AWS Certified Security - Specialty Sample Questions (Q165-Q170):

NEW QUESTION # 165
A company uses infrastructure as code (IaC) to create AWS infrastructure. The company writes the code as AWS CloudFormation templates to deploy the infrastructure. The company has an existing CI/CD pipeline that the company can use to deploy these templates.
After a recent security audit, the company decides to adopt a policy-as-code approach to improve the company's security posture on AWS. The company must prevent the deployment of any infrastructure that would violate a security policy, such as an unencrypted Amazon EBS volume.
Which solution will meet these requirements?

Answer: B

Explanation:
AWS CloudFormation Guard is the correct policy-as-code control for validating CloudFormation templates before deployment. Guard lets security teams write rules that check JSON or YAML templates for policy requirements, such as requiring encrypted EBS volumes. AWS CloudFormation best practices specifically recommend integrating cfn-guard into CI/CD pipelines to validate templates before deployment and prevent noncompliant resources from reaching the environment. AWS Config is mainly detective or proactive compliance evaluation after or during resource provisioning, but the question asks to prevent deployment inside an IaC pipeline.
Trusted Advisor does not validate templates. SCPs restrict account-level permissions but are not a CloudFormation template validation engine.


NEW QUESTION # 166
A company's data scientists use Amazon SageMaker with datasets stored in Amazon S3. Data older than 45 days must be removed according to policy. Which action should enforce this policy?

Answer: A

Explanation:
Amazon S3 Lifecycle rules are the native and most efficient way to enforce data retention policies. AWS Certified Security - Specialty documentation recommends lifecycle rules over custom automation to reduce operational complexity and failure risk.
Lifecycle rules automatically and reliably delete objects after a specified age, ensuring compliance without additional compute services. Lambda-based solutions increase cost and management overhead. Intelligent-Tiering manages storage cost, not data deletion.


NEW QUESTION # 167
A company hosts a web-based application that captures and stores sensitive data in an Amazon DynamoDB table. The company needs to implement a solution that provides end-to-end data protection and the ability to detect unauthorized data changes. Which solution will meet these requirements?

Answer: C

Explanation:
The DynamoDB Encryption Client provides end-to-end data protection by encrypting data on the client side before it is stored in DynamoDB and decrypting it when retrieved. This ensures that sensitive data remains protected both at rest and in transit. Additionally, the client allows you to digitally sign items, which provides integrity verification and enables detection of unauthorized changes to the data.


NEW QUESTION # 168
A company must capture AWS CloudTrail data events and must retain the logs for 7 years. The logs must be immutable and must be available to be searched by complex queries. The company also needs to visualize the data from the logs. Which solution will meet these requirements MOST cost-effectively?

Answer: C

Explanation:
AWS CloudTrail Lake is purpose-built to store, query, and analyze CloudTrail events, including data events, without requiring additional infrastructure. The AWS Certified Security - Specialty documentation explains that CloudTrail Lake provides immutable event storage with configurable retention periods, including multi-year retention, which satisfies long-term compliance requirements such as 7-year retention. Events are stored in an append-only, immutable format managed by AWS, reducing operational complexity.
CloudTrail Lake supports SQL-based queries for complex analysis directly against the event data, eliminating the need to export logs to other services for querying. Additionally, CloudTrail Lake includes built-in dashboards and integrations that enable visualization of event trends and patterns without standing up separate analytics or visualization platforms.
Option B is invalid because CloudTrail Event History only retains events for up to 90 days and does not support long-term retention or advanced querying. Option C introduces high operational overhead and cost by requiring persistent Amazon EMR clusters and additional services. Option D incurs ongoing ingestion, indexing, and storage costs for OpenSearch Service over a 7-year period, making it less cost-effective than CloudTrail Lake.
AWS documentation positions CloudTrail Lake as the most cost-effective and operationally efficient solution for long-term, queryable CloudTrail event storage and visualization.


NEW QUESTION # 169
A security engineer must investigate an Amazon GuardDuty finding. The finding indicates potential cryptocurrency mining activity on an Amazon EC2 instance. The security engineer must validate the finding and assess the impact.
Which data sources should the security engineer analyze to meet these requirements?

Answer: A

Explanation:
Comprehensive and Detailed 100to 150 words of Explanation From AWS Certified Security - Specialty topics:
Cryptocurrency mining validation requires evidence of actual mining behavior, not only metadata about the finding. Process details show whether mining binaries or suspicious processes are running on the instance.
DNS analysis can reveal lookups to known mining pools or suspicious domains. VPC Flow Logs help confirm outbound connections, destinations, ports, and traffic volume from the instance. GuardDuty uses foundational data sources such as DNS logs, VPC Flow Logs, and CloudTrail events to detect suspicious activity, so those same sources are appropriate for validating and scoping the finding. CPU metrics alone are useful context but not enough. Counting findings or checking severity does not prove impact. Session history and Route 53 records do not directly validate mining behavior.


NEW QUESTION # 170
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