NCA-AIIO · Question #50
NCA-AIIO Question #50: Real Exam Question with Answer & Explanation
The correct answer is B: They ensure that AI applications run consistently across different computing environments.. Containers (e.g., Docker) encapsulate AI applications with their dependencies, ensuring consistent execution across diverse environments-from development laptops to production clusters-without manual reconfiguration. They don't inherently improve model accuracy, generate datasets
Question
What is a significant benefit of using containers in an AI development environment?
Options
- AThey increase the base accuracy of AI models by optimizing their algorithms.
- BThey ensure that AI applications run consistently across different computing environments.
- CThey can automatically generate AI datasets for machine learning model training.
- DThey directly increase the processing speed of GPUs used in AI computations.
Explanation
Containers (e.g., Docker) encapsulate AI applications with their dependencies, ensuring consistent execution across diverse environments-from development laptops to production clusters-without manual reconfiguration. They don't inherently improve model accuracy, generate datasets, or boost GPU speed, focusing instead on portability and reproducibility. (Note: The document incorrectly lists A; B is correct per NVIDIA standards.)
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