CCSK Cloud Security Alliance Certificate of Cloud Security Knowledge v5 (CCSKv5.0) Free Practice Exam Questions (2025 Updated)

Governance frameworks help organizations ensure that cloud computing aligns with strategic objectives and that cloud risks are identified, managed, and monitored.

From CSA Security Guidance v4.0 – Domain 2: Governance and Enterprise Risk Management:

“Cloud governance enables organizations to align cloud adoption with business strategy and risk management. Embedding cloud decisions into governance ensures accountability, informed decision-making, and the alignment of cloud services with enterprise-wide goals.”

(CSA Security Guidance v4.0, Domain 2)

Answer D directly reflects this principle. The other choices do not capture the core strategic role of governance in cloud computing.

Cascading log architecture enables centralized collection of logs from various sources, enhancing visibility and simplifying security monitoring in hybrid environments. Reference: [Security Guidance v5, Domain 6 - Security Monitoring]

Infrastructure as a Service (IaaS) primarily provides users with storage, computing resources, and networking capabilities. In the IaaS model, cloud providers offer virtualized computing resources over the internet. Users can rent servers, storage, and networking equipment without needing to manage the physical hardware themselves. This allows for flexible scaling and resource management according to the users' needs.

FaaS focuses on serverless computing where users run code in response to events. PaaS provides a platform that allows users to develop, run, and manage applications without worrying about the underlying infrastructure. SaaS delivers fully managed applications over the internet, where users access software without managing the infrastructure.

The correct answer isB. Customers retain control over their encryption keys.

Usingcustomer-managed encryption keys (CMEK)with a cloudKey Management Service (KMS)allows the customer toretain full control over the encryption keysused to encrypt their data. This is crucial in maintaining data sovereignty, privacy, and compliance with regulatory requirements.

Key Benefits of Customer-Managed Encryption Keys:

Key Ownership and Control:Unlike cloud provider-managed keys, CMEK ensures that the customer has full authority over the key's lifecycle, including creation, rotation, and deletion.

Enhanced Security:Customers can enforce strict access controls and audit who accesses the keys.

Compliance:Many regulations (like GDPR or HIPAA) mandate that data owners maintain control over encryption keys.

Data Privacy:Even though the data is stored on the cloud, the provider cannot access unencrypted data without the customer's permission.

Flexibility:Customers can choose when to revoke or rotate keys, which directly impacts data availability and access.

Why Other Options Are Incorrect:

A. Bypass the need for encryption:CMEK does not eliminate the need for encryption; it strengthens it by giving customers direct control.

C. Share encryption keys more easily:Sharing encryption keys can increase security risks, and CMEK is designed to restrict, not ease, key sharing.

D. Reduces computational load on the cloud service provider:CMEK does not impact the computational load. It focuses on key management and control rather than reducing processing overhead.

Real-World Example:

InAWS KMS, using CMEK allows customers to bring their own keys (BYOK) and manage them directly through AWS Key Management Service. Similar practices exist inGoogle Cloud KMSandAzure Key Vault, where customers can generate and control their own encryption keys.

Practical Use Case:

A healthcare provider using a cloud service to store patient records may use CMEK to ensure that sensitive data is encrypted under keys they control, ensuring compliance with regulations likeHIPAA.

Cloud governance establishes controls and policies that align with the organization’s goals for security, compliance, and efficient management in the cloud. Reference: [Security Guidance v5, Domain 2 - Cloud Governance]

A cloud risk registry is primarily used to identify and manage risks associated with cloud services. It serves as a tool for documenting, tracking, and assessing potential risks to the organization that arise from using cloud services. This includes risks related to security, compliance, availability, and performance. The risk registry helps organizations prioritize and mitigate these risks effectively to ensure the security and resilience of their cloud infrastructure.

Establishing SLAs is related to cloud contract management but not the primary purpose of a risk registry. Monitoring real-time cloud performance is a performance monitoring task, not the focus of a risk registry. Managing cloudaccount credentials is an aspect of identity and access management, not related to risk registries.

The principle of Segregation of Duties (SoD) focuses on implementing multiple security layers by dividing responsibilities among different individuals or systems to ensure that no single entity has enough control to misuse or compromise access. This principle helps to prevent fraud, error, and misuse by ensuring that critical tasks are divided and that sensitive actions require multiple people or processes to perform, adding an extra layer of security.

Continuous Monitoring refers to the ongoing observation of activities to detect unusual behavior, but it is not directly about diluting access power. Federation involves linking multiple identity management systems together to allow access across different domains but does not specifically address limiting access power through multiple security layers. Principle of Least Privilege ensures that users have only the minimum necessary access to perform their tasks, but it does not directly involve dividing duties or responsibilities.

In the Infrastructure as a Service (IaaS) model, the cloud provider delivers the basic infrastructure components such as virtual machines, storage, and networking resources. However, the customer is responsible for managing the operating system, applications, and any software configurations that run on the infrastructure. This gives the customer more control over the environment while still benefiting from the cloud provider's hardware and scalability.

The provider manages the operating system, runtime, and infrastructure, and the customer is only responsible for managing the applications. NaaS focuses on network services, not the management of operating systems and applications. The provider manages everything, including the operating system and applications, and the customer simply uses the software.

Cloud adoption transforms how incident response (IR) is conducted. Unlike traditional IT environments, cloud environments involve shared responsibility, provider collaboration, and remote orchestration. This shift requires security teams to adjust response strategies, tools, and governance to effectively detect, analyze, and remediate incidents.

Cloud-specific tools (e.g., CSP logs, API calls, auto-scaling environments) must be incorporated into IR plans. Coordination with cloud service providers is often necessary to access logs, enforce controls, or conduct forensics.

This transformation is outlined in Domain 9: Incident Response, which stresses that effective IR in the cloud must be pre-planned and adapted to each provider and cloud model.

The key characteristic that differentiates cloud networks from traditional networks is that cloud networks are often software-defined networks (SDNs). This means that network management, configuration, and provisioning in the cloud are handled through software, rather than relying on traditional hardware-based network components. SDNs allow for greater flexibility, scalability, and automation, enabling cloud providers to dynamically adjust resources to meet changing demands.

API Gateways enhance Platform as a Service (PaaS) security by regulating traffic into and out of PaaS components. They act as an intermediary between external requests and the PaaS applications, helping to enforce security policies such as authentication, authorization, rate limiting, input validation, and logging. API gateways help protect PaaS components by controlling which traffic is allowed to reach the services, thereby reducing exposure to potential attacks.

Intrusion Detection Systems (IDS) are used to detect potential threats in a network, but they don't specifically regulate traffic into PaaS components like API Gateways do. Hardware Security Modules (HSMs) are used for managing encryption keys and cryptographic operations but do not directly regulate traffic to PaaS components. Network Access Control Lists (NACLs) control traffic at the network layer but are generally used for controlling traffic to/from virtual machines or subnets rather than for PaaS components specifically.

Centralized logging aggregates logs in one location, making it easier to monitor, analyze, and comply with regulatory requirements. Reference: [Security Guidance v5, Domain 6 - Security Monitoring]

PBAC enables highly specific access control based on multiple attributes, enhancing flexibility and security in cloud environments. Reference: [CCSK v5 Curriculum, Domain 5 - IAM][16†source].

Among AI workloads,Trainingrequires themost computational power and data resources.

Why AI Training is Computationally Intensive?

Large datasets:

AI models (e.g., deep learning, neural networks)require millions or billions of labeled data points.

Training involvesprocessing massive amounts of structured/unstructured data.

High computational power:

Training deep learning modelsinvolves runningmultiple passes (epochs) over data, adjusting weights, and optimizing parameters.

Requiresspecialized hardwarelikeGPUs (Graphics Processing Units),TPUs (Tensor Processing Units), andHPC (High-Performance Computing).

Long training times:

AI model training can takedays, weeks, or even monthsdepending on complexity.

Cloud platforms offerdistributed computing (multi-GPU training, parallel processing, auto-scaling).

Cloud AI Training Benefits:

Cloud providers (AWS, Azure, GCP) offer ML training serviceswithon-demand scalable compute instances.

Supportsframeworks like TensorFlow, PyTorch, and Scikit-learn.

This aligns with:

CCSK v5 - Security Guidance v4.0, Domain 14 (Related Technologies - AI and ML Security)

Cloud AI Security Risks and AI Data Governance (CCM - AI Security Controls)​

Program frameworksplay a critical role in cloud security by helping toorganize overarching security policies and objectives. Frameworks suchas NIST CSF, ISO 27001, or the CSA Cloud Controls Matrix (CCM) provide structured guidance for defining security components, aligning technical controls with business objectives, and ensuring a comprehensive security program.

From theCCSK v5.0 Study Guide, Domain 3 (Governance and Enterprise Risk Management), Section 3.2:

“Program frameworks, such as the CSA CCM or NIST Cybersecurity Framework, provide a structured approach to organizing security policies, objectives, and technical controls. These frameworks help organizations align their security programs with business goals and ensure comprehensive coverage of security requirements.”

Option C (Program frameworks help organize overarching security policies and objectives) is the correct answer.

Option A (Evaluate the performance of individual security tools) is incorrect because frameworks focus on strategy, not tool performance.

Option B (Focus on implementing specific security technologies) is incorrect because frameworks guide policy, not technology implementation.

Option D (Primarily define compliance requirements) is incorrect because compliance is a subset of framework objectives, not the primary role.