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Cloud Security Alliance (CSA) Certificate of Cloud Security Knowledge (CCSK) is a widely recognized certification program for professionals who are interested in cloud security. The CCSK Exam is a comprehensive test that covers the latest cloud security best practices, technologies, and governance frameworks. CCSK exam is designed to validate the knowledge, skills, and expertise of professionals who work on cloud security, risk management, and compliance.
The CSA Security Guidelines for Sensitive Areas of Focus in Cloud Computing v4, English edition, ENISA Report ‘Cloud Computing: Advantages, Threats and Recommendations for Information Security' is the body of knowledge for the CCSK review.
Several resources are available for study. To get a solid understanding of the course contents, we recommend checking out the CCSK exam dumps available at the certificate-questions website that can be accessed via the link at the bottom of this document. The CSA Security Guidance can be accessed from here and is the definitive guide to keeping the cloud safe for your company. As an ever-evolving technology, the rise of cloud computing brings with it a range of opportunities and challenges. This paper offers both guidance and encouragement to support business objectives while managing and minimizing the risks associated with cloud computing technology adoption. This new edition covers developments in cloud, security, and technology support; focuses on cloud security activities in the real world; integrates the latest CSA research projects; and provides guidelines for relevant technologies.
The Cloud Controls Matrix (CCM) can be accessed from here. The CSA Cloud Controls Matrix (CCM) offers a comprehensive understanding of the concepts and values of security consistent with the domains of Security Guidelines v.4. It offers basic security concepts to direct cloud vendors as they build service offerings and assist prospective cloud customers in determining a cloud provider's overall security risk.
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NEW QUESTION # 243
Which type of AI workload typically requires large data sets and substantial computing resources?
Answer: B
Explanation:
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)
NEW QUESTION # 244
One of the primary benefits of the cloud is the ability to perform dynamic allocation of physical resources when required. The most common approach is a multi-tenant environment. However, it increases risk of disclosure of customer dat a. This can happen because of which of the following?
Answer: D
Explanation:
All resources allocated to a particular tenant should be "isolated" and protected to avoid disclosure of information to other tenants For example, when allocated storage is no longer needed IIS Security Considerations for Cloud Computing by a client it can be freely reallocated to another enterprise. ln that case, sensitive data could be disclosed if the storage has not been scrubbed thoroughly(e.g, using forensic software).
NEW QUESTION # 245
In which cloud service model is the customer only responsible for the data?
Answer: B
Explanation:
SaaS is the model in which the customer supplies only the data; in the other models, the customer also supplies the 0S, the application, or both.
NEW QUESTION # 246
What is a primary benefit of using Identity and Access Management (IAM) roles/identities provided by cloud providers instead of static secrets?
Answer: A
Explanation:
Using IAM roles/identities provided by cloud providers instead of static secrets (like passwords or API keys) significantly reduces the risk of credential leakage. IAM roles enable dynamic and temporary credentials, meaning that they are automatically rotated and do not need to be manually stored or managed. This eliminates the need for hardcoding sensitive credentials into code or configuration files, which can often lead to accidental exposure or misuse if not properly secured.
Lowering storage costs is not a direct benefit of using IAM roles over static secrets. Facilitating data encryption is important for security, but IAM roles are not specifically focused on data encryption. Improving system performance is not a primary benefit of using IAM roles over static secrets. The main advantage is security-related, specifically the reduction in credential leakage risks.
NEW QUESTION # 247
What is a commonly used method by which hybrid cloud integrates data centers with public cloud?
Answer: A
Explanation:
"Hybrid cloud deployments commonly use secure network connections such as VPNs or dedicated links (e.g., Direct Connect or ExpressRoute) to integrate on-premises data centers with public cloud environments."
NEW QUESTION # 248
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