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The dumps for CCSK exam was last updated on Dec 12,2025 .

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Question#1

What is one significant way Artificial Intelligence, particularly Large Language Models, is impacting IT and security?

A. Eliminating the need for encryption

B. Replacing all IT personnel

C. Automating threat detection and response

D. Standardizing software development languages

Explanation:
Artificial Intelligence (AI), including Large Language Models (LLMs), is significantly impacting IT and security by enabling automation of threat detection and response. AI-driven tools can analyze vast amounts of data in real-time, identify patterns indicative of threats, and respond faster than human operators, improving security operations efficiency and effectiveness.
From the CCSK v5.0 Study Guide, Domain 12 (Emerging Technologies), Section 12.4:
“AI and machine learning, including Large Language Models, are transforming cloud security by automating threat detection and response. These technologies can process and analyze security logs, network traffic, and user behavior to identify anomalies and potential threats, enabling rapid incident response and reducing the burden on security teams.”
Option C (Automating threat detection and response) is the correct answer.
Option A (Eliminating the need for encryption) is incorrect because AI does not eliminate the need for encryption; encryption remains a fundamental security control.
Option B (Replacing all IT personnel) is incorrect because AI augments, rather than replaces, IT and security personnel.
Option D (Standardizing software development languages) is incorrect because AI does not primarily focus on standardizing development languages.
Reference: CCSK v5.0 Study Guide, Domain 12, Section 12.4: AI and Machine Learning in Cloud Security.

Question#2

An organization deploys an AI application for fraud detection.
Which threat is MOST likely to affect its AI model’s accuracy?

A. Adversarial attacks

B. DDoS attacks

C. Third-party services

D. Jailbreak attack

Explanation:
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 C 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.

Question#3

What is a primary benefit of implementing Zero Trust (ZT) architecture in cloud environments?

A. Reduced attack surface and simplified user experience.

B. Eliminating the need for multi-factor authentication.

C. Increased attack surface and complexity.

D. Enhanced privileged access for all users.

Explanation:
Zero Trust (ZT) security architectureis amodern cloud security approach that 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 trust and enforces continuous 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) access are mandatory in Zero Trust models.
Uses context-based access policies (device, location, behavior analytics) to enforce adaptive 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) offer Zero 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).

Question#4

Which of the following best explains how Multifactor Authentication (MFA) helps prevent identity-based attacks?

A. MFA relies on physical tokens and biometrics to secure accounts.

B. MFA requires multiple forms of validation that would have to compromise.

C. MFA requires and uses more complex passwords to secure accounts.

D. MFA eliminates the need for passwords through single sign-on.

Explanation:
MFA enhances security by requiring multiple independent forms of authentication, making it harder for attackers to gain unauthorized access.
Reference: [Security Guidance v5, Domain 5 - IAM]

Question#5

Which of the following best describes the primary purpose of image factories in the context of virtual machine (VM) management?

A. Automating the VM image creation processes

B. Managing network configurations for VMs

C. Providing backup solutions for VM images

D. Enhancing security of VM images

Explanation:
Correct Option:
A. Automating the VM image creation processes
Image factories are tools or systems designed to automate the building and maintenance of virtual machine images. They ensure that images are consistently created, updated, and patched, which is essential for maintaining a secure and manageable cloud infrastructure.
From the CSA Security Guidance v4.0 C Domain 8: Virtualization and Containers:
“Image factories are systems that automate the creation of virtual machine images. They help ensure that base images are consistently built and can include controls for security, configuration management, and compliance.”
― Domain 8: Virtualization and Containers, CSA Security Guidance v4.0
These factories often integrate with CI/CD pipelines to streamline deployment and reduce human error ― a key concern in cloud security operations.
Why the Other Options Are Incorrect:
B. Managing network configurations for VMs
➤ This task is typically handled by orchestration layers or cloud networking tools, not image factories.
C. Providing backup solutions for VM images
➤ Image factories are not responsible for backups; they are focused on creation, not preservation. D. Enhancing security of VM images
➤ While image factories can embed security best practices during creation, their primary purpose is automation, not security enhancement per se.
Main Topic: Virtualization and Containers
Source: CSA Security Guidance v4.0, Domain 8 C Virtualization and Containers

Exam Code: CCSK Q & A: 320 Q&As Updated: Dec 12,2025

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Exam Code: CCSK
Q & A: 320 Q&As
Updated: Dec 12,2025

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