CCSK Exam Dumps | Which type of AI workload typically requires large data sets and substantial computing resources?

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CloudSecurityAlliance.CCSK.v2025-09-19.q117
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Question 29/117

Which type of AI workload typically requires large data sets and substantial computing resources?

A. Evaluation

B. Data Preparation

C. Training

D. Inference

Correct Answer: C

Among AI workloads, Training requires the most 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 involves processing massive amounts of structured/unstructured data.
* High computational power:
* Training deep learning models involves running multiple passes (epochs) over data, adjusting weights, and optimizing parameters.
* Requires specialized hardware like GPUs (Graphics Processing Units), TPUs (Tensor Processing Units), and HPC (High-Performance Computing).
* Long training times:
* AI model training can take days, weeks, or even months depending on complexity.
* Cloud platforms offer distributed computing (multi-GPU training, parallel processing, auto- scaling).
* Cloud AI Training Benefits:
* Cloud providers (AWS, Azure, GCP) offer ML training services with on-demand scalable compute instances.
* Supports frameworks 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)

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