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Cloud Security Alliance CCSK (Certificate of Cloud Security Knowledge) Exam is a vendor-neutral certification that focuses on cloud security. CCSK exam was created by the Cloud Security Alliance (CSA), a non-profit organization that is dedicated to promoting best practices for security in cloud computing. The CCSK Exam is designed to test an individual's knowledge of cloud security concepts, principles, and best practices. CCSK exam is based on the CSA's Cloud Security Guidance for critical areas of focus in cloud computing.

The CCSK Certification Exam is suitable for a wide range of professionals, including IT managers, security professionals, auditors, and compliance officers. Certificate of Cloud Security Knowledge v5 (CCSKv5.0) certification is also valuable for cloud service providers, cloud architects, and consultants who are involved in cloud security. Certificate of Cloud Security Knowledge v5 (CCSKv5.0) certification is recognized globally and is a valuable addition to any professional's resume.

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Cloud Security Alliance (CSA) is a not-for-profit organization that promotes best practices for providing security assurance within Cloud Computing, and provides education on the uses of Cloud Computing to help secure all other forms of computing. The CSA developed and maintains the CCSK Exam as the industry's first benchmark for measuring cloud security knowledge and skills. CCSK exam is based on the CSA's Cloud Security Guidance v4.0 and other industry-accepted cloud security best practices.

Cloud Security Alliance Certificate of Cloud Security Knowledge v5 (CCSKv5.0) Sample Questions (Q355-Q360):

NEW QUESTION # 355
What is a primary benefit of consolidating traffic through a central bastion/transit network in a hybrid cloud environment?

  • A. It minimizes hybrid cloud sprawl and consolidates security.
  • B. It increases network redundancy and fault tolerance.
  • C. It decreases the latency of data transfers across the cloud network.
  • D. It reduces the need for physical network hardware.

Answer: A

Explanation:
Acentralized bastion or transit networkimproves hybrid cloud security by:
Reducing cloud sprawlthrough a unified security control point.
Centralizing firewall, logging, and security monitoringfor betterthreat detection and response.
Enforcing consistent security policiesacross different cloud platforms (AWS, Azure, on-premises data centers).
Minimizing unauthorized lateral movementwithin hybrid cloud environments.

 

NEW QUESTION # 356
Big data includes high volume, high variety, and high velocity.

  • A. True
  • B. False

Answer: A

 

NEW QUESTION # 357
What is a key characteristic of serverless functions in terms of execution environment?

  • A. They are executed in isolated, ephemeral environments
  • B. They run on dedicated long-running instances
  • C. They require pre-allocated server space
  • D. They need continuous monitoring by the user

Answer: A

Explanation:
Serverless functions are designed to run in isolated, ephemeral environments, meaning that each execution is independent and temporary. These functions are typically event-driven and executed on-demand, without the need for pre-allocated server resources. Once the function finishes executing, the environment is discarded, making it highly efficient and scalable. This architecture abstracts away infrastructure management, allowing developers to focus on the code itself.

 

NEW QUESTION # 358
Which is the most important trust mechanism between cloud service provider and cloud customer?

  • A. Logging and Monitoring reports
  • B. Contract
  • C. Meeting SLA requirements
  • D. Audit reports

Answer: B

Explanation:
Contract is the most important document which defines trust and relationship between cloud service provider and the customer.

 

NEW QUESTION # 359
Which aspect of cybersecurity can AI enhance by reducing false positive alerts?

  • A. Threat intelligence
  • B. Automated responses
  • C. Anomaly detection
  • D. Assisting analysts

Answer: C

Explanation:
AI can enhance anomaly detection in cybersecurity by analyzing large volumes of data and identifying patterns that deviate from normal behavior. By using machine learning algorithms, AI can improve the accuracy of anomaly detection, reducing false positive alerts. This helps security teams focus on genuine threats while minimizing distractions from irrelevant alerts.

 

NEW QUESTION # 360
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