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| Section | Objectives |
|---|---|
| Topic 1: Cloud Security Architecture and Design | - Secure cloud architecture principles - Identity and access management in cloud environments |
| Topic 2: Cloud Application Security | - API security and application controls - Secure software development in cloud environments |
| Topic 3: Data Security and Information Lifecycle Management | - Data classification and protection - Data retention and secure disposal - Encryption and key management |
| Topic 4: Cloud Platform and Infrastructure Security | - Virtualization security - Network security in cloud environments - Container and workload security basics |
| Topic 5: Governance, Risk Management, and Compliance | - Regulatory and compliance considerations - Risk assessment and management in cloud environments - Cloud governance frameworks and responsibilities |
| Topic 6: Operations | - Business continuity and disaster recovery - Incident response in cloud environments - Logging, monitoring, and auditing |
| Topic 7: Legal Issues, Contracts, and Electronic Discovery | - Legal jurisdiction and data ownership considerations - Cloud contracts and service level agreements (SLAs) |
| Topic 8: Cloud Computing Concepts and Architecture | - Key cloud characteristics and deployment models - Cloud reference architecture and service models (IaaS, PaaS, SaaS) |
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NEW QUESTION # 21
In a cloud environment spanning multiple jurisdictions, what is the most important factor to consider for compliance?
Answer: B
Explanation:
In a cloud environment that spans multiple jurisdictions, it is crucial to understand the legal and regulatory requirements of each jurisdiction where data originates, is stored, or is processed. Different regions or countries have varying laws, regulations, and compliance standards regarding data privacy, protection, and security. Organizations must ensure they meet all applicable requirements in each jurisdiction to avoid potential legal issues, fines, and reputational damage.
NEW QUESTION # 22
One of the part of STRIDE model is:
Answer: A
Explanation:
The six components that made STRIDE are:
1. Spoofing: Attacker assumes identity of subject
2. Tampering: Data or messages altered by an attacker
3. Repudiation: illegitimate denial of an event
4. Information disclosure: Information obtained without authorization
5. Denial of service: Attacker overloads system to deny legitimate access
6. Elevation of privilege: Attacker gains a privilege level above what is permitted
NEW QUESTION # 23
What is a primary benefit of implementing Zero Trust (ZT) architecture in cloud environments?
Answer: B
Explanation:
Zero Trust (ZT) security architectureis amodern cloud security approachthat operates on the principle of" Never Trust, Always Verify." Primary Benefits of Zero Trust in Cloud:
Minimizes Attack Surface
Traditional security modelsassume trust within an internal network.
Zero Trust eliminates implicit trustand enforcescontinuous verification of user identities.
Reduces the risk ofdata breaches, insider threats, and lateral movement attacks.
Strong Authentication & Access Controls
Multi-Factor Authentication (MFA) & Just-in-Time (JIT) accessare mandatory inZero Trust models.
Usescontext-based access policies (device, location, behavior analytics)to enforceadaptive security.
Micro-Segmentation & Least Privilege Access
Restricts access to only necessary applications, minimizing lateral movement in cloud environments.
Micro-segmentation isolates workloads, reducing the impact of breaches.
Cloud-Native Zero Trust Integration
Cloud providers(AWS, Azure, Google Cloud)offerZero Trust Network Access (ZTNA)solutions.
Cloud Security Posture Management (CSPM)continuously scans cloud environments for security compliance.
This aligns with:
CCSK v5 - Security Guidance v4.0, Domain 12 (Identity, Entitlement, and Access Management) Zero Trust Cloud Security Architecture (CSA Zero Trust Working Group).
NEW QUESTION # 24
Which factor is typically considered in data classification?
Answer: D
Explanation:
Data classificationis afundamental security practiceused toprotect sensitive informationbased onrisk, confidentiality, integrity, and regulatory requirements.
Key Factors in Data Classification:
Data Sensitivity:
Organizations classify data based onhow sensitive it is:
Public(e.g., marketing material).
Internal Use Only(e.g., business plans).
Confidential(e.g., financial reports).
Restricted/Highly Confidential(e.g., personal healthcare records, credit card details).
Compliance & Legal Requirements:
Certain data types have strict compliance laws:
PII (Personally Identifiable Information) # GDPR, CCPA
Financial Data # PCI DSS
Healthcare Data # HIPAA
Cloud providers must ensure security policies align with compliance frameworks.
Impact on Security Controls:
Highly sensitive data requires encryption at rest and in transit.
Access control must be enforced with least privilege and IAM policies.
Risk Management:
Properdata classification helps organizations define security policiessuch as:
Retention policies(How long data should be stored?).
Backup and disaster recovery strategies.
This is outlined in:
CCSK v5 - Security Guidance v4.0, Domain 11 (Data Security and Encryption) Cloud Controls Matrix (CCM) - Data Security and Data Classification Standards
NEW QUESTION # 25
Which of the following best describes "security as a service" (SecaaS) in the cloud?
Answer: A
Explanation:
Security as a Service delivers security functions (e.g., web filtering, anti-malware, identity management, SIEM) via the cloud on a subscription basis rather than requiring on-premises deployment.
NEW QUESTION # 26
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