Pass Guaranteed NCP-ADS - NVIDIA-Certified-Professional Accelerated Data Science Perfect Questions Exam

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NVIDIA-Certified-Professional Accelerated Data Science Sample Questions (Q186-Q191):

NEW QUESTION # 186
In the CRISP-DM process, which NVIDIA technology is commonly used during the "Data Preparation" phase to handle large datasets efficiently?

Answer: D


NEW QUESTION # 187
You are developing an accelerated ETL workflow that requires data transformations such as filtering, aggregating, and joining large datasets. You decide to leverage NVIDIA GPUs to accelerate the transformation phase of your ETL pipeline.
Which of the following approaches will provide the greatest performance improvements when working with large-scale tabular datasets?

Answer: A


NEW QUESTION # 188
You are training a machine learning model using scikit-learn-like API on a dataset with millions of samples and thousands of features. You need to optimize both training time and inference speed using NVIDIA technologies.
Which solution is the most appropriate?

Answer: C


NEW QUESTION # 189
You are setting up a deep learning model for training on a multi-GPU cluster. You want to maximize training efficiency while maintaining model convergence.
Which of the following strategies is most effective in ensuring efficient multi-GPU training?

Answer: A


NEW QUESTION # 190
You are working on a large-scale social network analysis project using cuGraph. Your goal is to identify the most influential individuals in the network based on their connectivity and reach.
Which of the following cuGraph algorithms would be the most appropriate choice for this task?

Answer: C


NEW QUESTION # 191
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