100% Pass Quiz NVIDIA - Trustable NCP-ADS Test Dates

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NCP-ADS New Dumps Questions | NCP-ADS Certification Exam Infor

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NVIDIA-Certified-Professional Accelerated Data Science Sample Questions (Q139-Q144):

NEW QUESTION # 139
You are tasked with optimizing a data science workflow to scale across multiple GPUs using Dask.
Which of the following approaches would be most effective for implementing data parallelism in this scenario? (Select two)

Answer: A,B


NEW QUESTION # 140
You are tasked with processing a large dataset of 100 million records for a deep learning project using NVIDIA technologies. You need to determine the most efficient data processing library for this task to maximize performance and reduce processing time.
Which of the following libraries is best suited for this task?

Answer: C


NEW QUESTION # 141
A machine learning engineer is tasked with optimizing an image classification model on a cloud platform. The engineer must select a GPU-accelerated instance that balances cost and performance while ensuring compatibility with frameworks like TensorFlow and PyTorch.
Which instance configuration is the most appropriate choice?

Answer: B


NEW QUESTION # 142
You are working on a data science project that requires augmenting a dataset using synthetic data.
You are utilizing cuDF and NVIDIA RAPIDS to speed up the data generation process.
Which of the following methods is the most effective way to generate synthetic data using cuDF in a RAPIDS workflow?

Answer: B


NEW QUESTION # 143
A machine learning engineer is training a large transformer-based model for natural language processing (NLP). They want to maximize training speed and efficiency using NVIDIA GPUs.
Which of the following techniques would most effectively enhance GPU utilization and reduce training time?

Answer: C


NEW QUESTION # 144
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