最新のNCA-GENM問題集で試験を準備する

NVIDIA NCA-GENM 試験概要:

NVIDIA NCA-GENM 試験シラバストピック:

NVIDIA Generative AI Multimodal 認定 NCA-GENM 試験問題：

1. You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?

A) Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
B) Interviewing the developers of the AI model to assess its performance.
C) Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.
D) Calculating the loss function of the model on the training set.

2. What does 'modality alignment' refer to?

A) Addressing challenges related to missing or incomplete information across different modalities.
B) The process of integrating diverse data types such as text, images, audio, time series, and geospatial information.
C) Aligning different modalities within multimodal data to ensure meaningful connections and associations.
D) The integration of pretrained models to perform custom tasks involving different types of data.

3. What role does 'late fusion' play in multimodal machine learning?

A) It refers to the process of combining multiple modalities at the training stage.
B) It refers to the process of combining multiple modalities at the feature level.
C) It refers to the process of combining multiple modalities at the preprocessing stage.
D) It refers to the process of combining multiple modalities at the decision level.

4. Which of the following best describes the role of the Hugging Face model repository in ML software development?

A) A set of NVIDIA SDKs, such as Riva, NeMo, Triton, and ACE, for implementing neural network architectures.
B) A platform for sharing and accessing pre-trained models and transformers for natural language processing.
C) A convenient tool for deploying neural networks for production-scale inference similar to Triton Server.
D) A library for customizing large language models like GPT, LLaMA-2, and Falcon using the NeMo framework.

5. During the process of data cleansing, which of the following steps is NOT typically performed?

A) Transforming data into a different format
B) Removing duplicates
C) Collecting additional data
D) Identifying and handling missing values

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