Free Practice Questions for Cloud Security Alliance CCSK Exam

Correct Option: A. Adversarial attacks

Adversarial attacks are specifically designed to deceive AI and machine learning models by feeding them crafted inputs that result in incorrect outputs. These attacks are highly effective against AI models, especially in areas like fraud detection, where accuracy is critical.

From CSA Security Guidance v4.0 – Domain 13: Security as a Service (SecaaS) and related AI-focused security discussions:

“AI models are vulnerable to adversarial inputs, where attackers introduce subtle perturbations to input data that are imperceptible to humans but cause the AI system to make wrong decisions. These attacks degrade the accuracy and reliability of machine learning models.”

— CSA Guidance on AI Security (in Security as a Service domain)

Adversarial ML is a well-recognized field of AI security, where the goal of the attacker is to intentionally corrupt or manipulate input data, thereby lowering the performance or biasing the output of the model.

Why the Other Options Are Incorrect:

B. DDoS attacks➤ Affects availability, not accuracy. DDoS can cause downtime but doesn’t interfere with model predictions.

C. Third-party services➤ May introduce supply chain or dependency risks, but they don’t directly impact the AI model’s accuracy unless involved in training data pipelines.

D. Jailbreak attack➤ More relevant to LLMs (Large Language Models) or chatbots, not structured AI fraud detection models.

According to the CSA Security Guidance v4.0, Domain 9: Incident Response, the Containment, Eradication, and Recovery phase follows detection and analysis. This phase focuses on limiting the damage, removing the threat, and restoring systems to a secure operational state.

"After detection and analysis, containment, eradication, and recovery are necessary to prevent further damage and restore systems."

"Recovery is the process of restoring affected systems and services to a fully operational state in a controlled and safe manner."

This includes activities such as:

Removing malware or compromised systems

Rebuilding or restoring from backups

Applying patches

Validating that vulnerabilities are fixed

Monitoring for any recurrence

Incorrect options:

A refers to the Post-Incident Activity phase.

C is part of Detection and Analysis.

D is also part of the initial phase of the incident response cycle.

A VPN (Virtual Private Network) is commonly used to provide secure, encrypted connections between on-premises data centers and cloud deployments, ensuring that data transmitted across the internet is protected from unauthorized access. VPNs help safeguard sensitive information byencrypting the communication channel, offering confidentiality and integrity for the data in transit.

VPNs are not necessarily more cost-effective than other options like dedicated private connections or direct connect services, especially when considering performance and reliability. While VPNs provide secure connections, they do not eliminate the need for third-party authentication services, which are still important for controlling access. VPNs typically offer lower bandwidth and higher latency compared to direct connection solutions, which are designed for higher-performance use cases.

Cloud security control objectives are designed to provide outcome-focused guidelines that help organizations achieve specific security goals in the cloud. These objectives are typically high-level and focused on the desired security outcomes, rather than dictating the exact technical implementation methods. This allows the security measures to be adaptable and applicable across different cloud environments and service models, while also being measurable to ensure effectiveness.