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| Section | Weight | Objectives |
|---|---|---|
| Cloud Infrastructure and Platform Security | 20% | - Compute and virtualization security - Network security: segmentation, firewalls, WAFs - Storage security and protection - Application security in cloud environments |
| Cloud Security Principles and Concepts | 20% | - Cloud service models: IaaS, PaaS, SaaS - Security frameworks and standards (NIST, ISO 27001, CSA) - Cloud deployment models: public, private, hybrid, multi-cloud - Shared responsibility model |
| Security Operations and Incident Response | 10% | - Incident response planning and execution - Disaster recovery and business continuity - Threat detection and vulnerability management |
| Cloud Data Security | 20% | - Encryption: at rest, in transit, in use - Key management and secrets protection - Data privacy and compliance requirements - Data classification and lifecycle management |
| Identity and Access Management (IAM) | 20% | - Least privilege and separation of duties - Zero Trust architecture principles - Authentication, authorization, and accounting - Identity providers and federation |
| Governance, Risk, and Compliance | 10% | - Compliance with regulations (GDPR, HIPAA, PCI DSS) - Risk assessment and management - Audit, logging, and monitoring |
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NEW QUESTION # 33
What is a risk in using the community cloud over the private cloud?
Answer: A
Explanation:
A loss of policy control is a key risk when using a community cloud compared to a private cloud. Managing Cloud principles explain that community clouds are shared by multiple organizations with common objectives, compliance needs, or industry requirements.
Because governance is shared across participants, individual organizations may have reduced ability to enforce customized security policies, configurations, or controls. Policy decisions often require consensus, which can limit flexibility and slow response to emerging risks.
Private clouds provide full control over governance, security policies, and configurations. The other options are not inherent risks of community cloud models. Therefore, loss of policy control is the correct answer.
NEW QUESTION # 34
Which type of risk comes from outsourcing significant vendor-specific investments for data, procedures, or processes to a cloud provider?
Answer: A
Explanation:
Vendor lock-in risk arises when organizations outsource significant investments in data formats, procedures, or processes that are tightly coupled to a specific cloud provider. Managing Cloud principles explain that proprietary technologies, APIs, and workflows can make it difficult or costly to migrate to another provider.
This dependency limits flexibility and bargaining power and can increase long-term costs or operational risk if the provider changes pricing, services, or availability. Lock-in risk is a key consideration during cloud strategy planning.
Compliance risk involves regulatory obligations, overutilization concerns excessive resource usage, and exit risk relates to termination processes rather than dependency. Therefore, lock-in risk is the correct answer.
NEW QUESTION # 35
A company is interested in tokenization as an alternative to protecting data without encryption. The application will soon store the token. Which step should occur immediately before this action?
Answer: B
Explanation:
Before an application can store a token, it must first receive the token from the tokenization server.
Managing Cloud guidance outlines that tokenization workflows follow a defined sequence: the application submits sensitive data, the tokenization server generates a token, and then the token is returned to the application.
Only after the token has been successfully returned can the application replace the original sensitive data and store the token instead. This ensures that sensitive data is not retained within the application environment, reducing exposure and simplifying compliance requirements.
The other steps occur earlier in the process. An authorized application must request tokenization, and the sensitive data must be sent to the tokenization server before a token can be generated. Therefore, the immediate step before storing the token is the tokenization server returning the token to the application.
NEW QUESTION # 36
Which data retention policy addresses how long data must be retained to meet regulatory requirements?
Answer: C
Explanation:
Retention periods define how long data must be stored to meet regulatory and compliance requirements.
Managing Cloud guidance explains that laws and regulations often mandate minimum or maximum retention durations for specific types of data, such as financial records, health information, or audit logs.
A retention period policy ensures that data is kept for the required timeframe and securely disposed of once it is no longer needed. This helps organizations avoid legal penalties, reduce storage costs, and minimize risk exposure from retaining data longer than necessary.
The other options address different aspects of data management. Formats define how data is stored, classification categorizes data sensitivity, and retrieval focuses on access methods. None specify duration.
Therefore, retention periods are the correct policy element.
NEW QUESTION # 37
Which category of cloud service provides on-demand, self-service access to basic building blocks, such as virtualized servers, block storage, and networking capacity, that can be used to create custom IT solutions?
Answer: B
Explanation:
Infrastructure as a Service (IaaS) delivers fundamental computing resources over the cloud. These include virtual machines, block storage, networking, and load balancers. Customers use these resources to build and manage custom IT solutions, while the provider manages the underlying hardware.
PaaS abstracts infrastructure further, providing a development environment for applications without requiring infrastructure management. SaaS delivers fully functional applications over the internet. NaaS is a narrower category focusing on network delivery.
IaaS is the correct answer because it gives maximum flexibility and control compared to the other models, allowing organizations to build tailored environments. It also requires customers to manage operating systems, middleware, and runtime security, making shared responsibility an essential part of the model.
NEW QUESTION # 38
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