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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Governance | 9% | - Governance frameworks - Strategic alignment - Policies and procedures - Cloud service provider management |
| Topic 2: Cloud Workload Security | 9% | - Container and orchestration security - Virtual machine security - Workload protection strategies - Serverless security |
| Topic 3: Risk, Audit, & Compliance | 10% | - Audit processes and controls - Third-party risk management - Compliance frameworks and regulations - Risk assessment and management |
| Topic 4: Security Monitoring | 8% | - Continuous monitoring - Logging and event management - Alerting and response workflows - Threat detection and analysis |
| Topic 5: Application Security | 7% | - DevSecOps practices - Secure software development lifecycle - Cloud application architecture - API security |
| Topic 6: Data Security | 10% | - Encryption and key management - Data classification and governance - Data lifecycle management - Data residency and privacy |
| Topic 7: Infrastructure & Networking | 9% | - Virtualization security - Cloud native networking security - Network security architecture - Segmentation and isolation |
| Topic 8: Related Technologies & Strategies | 6% | - Artificial Intelligence and Generative AI security - Emerging technologies and risks - Zero Trust architecture |
| Topic 9: Incident Response & Resilience | 7% | - Recovery and remediation - Detection and containment - Business continuity and disaster recovery - Incident response planning |
| Topic 10: Organization Management | 7% | - Cloud security strategy - Roles and responsibilities - Security culture and awareness - Tenancy and resource management |
| Topic 11: Cloud Computing Concepts & Architectures | 8% | - Cloud deployment models - Shared responsibility model - Cloud service models - Cloud reference architecture |
| Topic 12: Identity & Access Management | 10% | - Authentication and authorization - Identity lifecycle management - Federated identity and SSO - Access control models |
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NEW QUESTION # 229
In which cloud service model is the customer only responsible for the data?
Answer: D
Explanation:
SaaS is the model in which the customer supplies only the data; in the other models, the customer also supplies the 0S, the application, or both.
NEW QUESTION # 230
Which benefit of automated deployment pipelines most directly addresses continuous security and reliability?
Answer: B
Explanation:
The most direct benefit of automated deployment pipelines in addressing continuous security and reliability is that they enable consistent and repeatable deployment processes. This ensures that the same steps are followed every time code is deployed, reducing human error and inconsistencies that could introduce vulnerabilities or reliability issues. Automated pipelines can also include security checks, such as static code analysis, vulnerability scanning, and automated testing, all of which help ensure that security and reliability are maintained continuously.
Enhancing collaboration through shared tools is a benefit of automated pipelines but doesn't directly address security and reliability. Providing detailed reports on team performance is useful for team management but doesn't directly contribute to security or reliability. Ensure code quality through regular reviews can improve security indirectly but is not the most direct benefit when it comes to continuous security and reliability in the deployment process.
NEW QUESTION # 231
Which AI workload mitigation strategy best addresses model inversion attacks that threaten data confidentiality?
Answer: B
Explanation:
Differential privacy is a strategy designed to protect data confidentiality by ensuring that the output of a machine learning model does not expose sensitive information about individual data points. In the context of model inversion attacks, where attackers try to infer confidential data from the model, differential privacy introduces noise into the model's output in a way that prevents attackers from accurately reconstructing the input data. This helps safeguard against attacks that threaten the privacy of the data used to train the model.
Secure multi-party computation is useful for enabling collaborative computation on encrypted data but does not specifically address model inversion attacks. Encryption is important for securing data at rest or in transit but does not directly protect against model inversion attacks. Model hardening refers to general measures to make models more robust to adversarial attacks, but it does not directly mitigate the specific risk of model inversion attacks related to data confidentiality.
NEW QUESTION # 232
If the management plane has been breached, you should confirm the templates/configurations for your infrastructure or applications have not also been compromised.
Answer: A
NEW QUESTION # 233
Which of the following is a primary benefit of using Infrastructure as Code (IaC) in a security context?
Answer: B
Explanation:
The correct answer isD. Automated compliance checks.
Infrastructure as Code (IaC)is a key DevSecOps practice where infrastructure configurations are defined and managed through code. In a security context, the primary benefit of using IaC is the ability toautomate compliance checksand enforce security best practices consistently across environments.
Key Benefits of IaC in Security:
Automated Compliance:IaC allows for the embedding ofsecurity policies directly into configuration scripts. This means that when infrastructure is deployed, it automatically adheres to compliance requirements (like NIST, CIS benchmarks).
Consistency and Repeatability:Since IaC scripts are version-controlled, any configuration changes are tracked, minimizing the risk ofconfiguration drift.
Security by Design:By coding security configurations (like IAM roles, network ACLs, encryption settings), organizations ensure that every deployment meets security standards.
Reduced Human Error:Automating infrastructure provisioning reduces manual errors that can lead to vulnerabilities.
Why Other Options Are Incorrect:
A . Manual patch management:IaC promotes automated and repeatable configurations, reducing the need for manual patching.
B . Ad hoc security policies:IaC encouragesstandardized and consistentpolicies rather than ad hoc management.
C . Static resource allocation:IaC is dynamic and scalable, allowing for automatic scaling and configuration management rather than static resource setups.
Real-World Example:
Using tools likeTerraformorAWS CloudFormation, organizations can defineIAM policies, security group rules, and data encryption settingsas part of the infrastructure code. These configurations are then automatically checked for compliance against established policies during deployment.
Security and Compliance in IaC:
Organizations can integrate tools likeTerraform ComplianceorAWS Config Rulesto automatically verify that infrastructure settings align withregulatory requirementsandinternal security policies.
Reference:
CSA Security Guidance v4.0, Domain 10: Application Security
Cloud Computing Security Risk Assessment (ENISA) - Infrastructure as Code Best Practices Cloud Controls Matrix (CCM) v3.0.1 - Configuration and Change Management Domain
NEW QUESTION # 234
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