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| Section | Weight | Objectives |
|---|---|---|
| Cloud Infrastructure and Platform Security | 20% | - Compute and virtualization security - Application security in cloud environments - Storage security and protection - Network security: segmentation, firewalls, WAFs |
| Security Operations and Incident Response | 10% | - Incident response planning and execution - Disaster recovery and business continuity - Threat detection and vulnerability management |
| Identity and Access Management (IAM) | 20% | - Identity providers and federation - Authentication, authorization, and accounting - Least privilege and separation of duties - Zero Trust architecture principles |
| Governance, Risk, and Compliance | 10% | - Risk assessment and management - Audit, logging, and monitoring - Compliance with regulations (GDPR, HIPAA, PCI DSS) |
| Cloud Data Security | 20% | - Data classification and lifecycle management - Encryption: at rest, in transit, in use - Key management and secrets protection - Data privacy and compliance requirements |
| Cloud Security Principles and Concepts | 20% | - Cloud deployment models: public, private, hybrid, multi-cloud - Cloud service models: IaaS, PaaS, SaaS - Shared responsibility model - Security frameworks and standards (NIST, ISO 27001, CSA) |
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NEW QUESTION # 63
A user creates new financial documents that will be stored in the cloud. Which action should the user take before uploading the documents to protect them against threats such as packet capture and on-path attacks?
Answer: B
Explanation:
Before transmitting sensitive financial data to the cloud, the best defense against interception threats like packet capture and man-in-the-middle attacks isencryption. Encryption protects data in transit by converting plain text into cipher text, which can only be deciphered with the correct keys.
Hashing provides integrity verification but does not secure confidentiality. Change tracking monitors modifications but does not prevent interception. Metadata labeling adds context but does not protect against on-path attackers.
Using strong encryption protocols (e.g., TLS) ensures that even if traffic is intercepted, the attacker cannot read the data. Encryption also aligns with compliance requirements such as PCI DSS, which mandates encryption for financial data during transmission. By encrypting before upload, the user ensures end-to-end confidentiality across potentially insecure networks.
NEW QUESTION # 64
Which service model requires the most consumer responsibility for security issues?
Answer: D
Explanation:
Infrastructure as a Service (IaaS) requires the greatest level of consumer responsibility for security.
Managing Cloud documentation explains that in the shared responsibility model, IaaS providers supply virtualized infrastructure components such as compute, storage, and networking, while consumers manage everything above that layer.
Customers are responsible for securing operating systems, applications, data, access controls, patching, and configuration management. This includes vulnerability management, endpoint security, identity management, and monitoring. While this model provides flexibility and control, it also demands strong security expertise and governance.
In contrast, PaaS and SaaS shift more security responsibilities to the provider, and DBaaS abstracts database management. Therefore, IaaS places the highest security responsibility on the consumer.
NEW QUESTION # 65
Which security issue can be found only through dynamic application security testing (DAST)?
Answer: C
Explanation:
Runtime privilege issues can be identified only through dynamic application security testing (DAST).
Managing Cloud principles explain that DAST evaluates applications while they are running, allowing testers to observe behavior during execution.
Runtime privileges involve how applications handle permissions, roles, and access controls in real-world conditions. These issues cannot be fully identified through static analysis because they depend on runtime context, user interactions, and environment configurations.
Code quality, null pointer dereferences, and insecure cryptographic functions can typically be detected through static testing or code review. Therefore, runtime privileges are uniquely suited for detection through DAST.
NEW QUESTION # 66
A user creates new financial documents that will be stored in the cloud. Which action should the user take before uploading the documents to protect them against threats such as packet capture and on-path attacks?
Answer: B
Explanation:
Before transmitting sensitive financial data to the cloud, the best defense against interception threats like packet capture and man-in-the-middle attacks is encryption. Encryption protects data in transit by converting plain text into cipher text, which can only be deciphered with the correct keys.
Hashing provides integrity verification but does not secure confidentiality. Change tracking monitors modifications but does not prevent interception. Metadata labeling adds context but does not protect against on-path attackers.
Using strong encryption protocols (e.g., TLS) ensures that even if traffic is intercepted, the attacker cannot read the data. Encryption also aligns with compliance requirements such as PCI DSS, which mandates encryption for financial data during transmission. By encrypting before upload, the user ensures end-to-end confidentiality across potentially insecure networks.
NEW QUESTION # 67
Which release management term describes the process from code implementation to code review and approval to automated testing and then to production deployment?
Answer: B
Explanation:
Apipelinerefers to the structured process of moving code from development to production, encompassing implementation, review, automated testing, and deployment. In DevOps, this is known as a CI/CD pipeline (Continuous Integration/Continuous Deployment).
An iteration refers to a development cycle, a baseline represents a stable reference configuration, and a framework provides structure but not a deployment sequence. Only pipeline accurately captures the sequential, automated flow of code into production.
Pipelines enhance efficiency, consistency, and quality assurance by automating repetitive tasks, reducing human error, and ensuring that code changes are validated before reaching production. They are essential for modern cloud-native applications where rapid deployment is expected.
NEW QUESTION # 68
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