NCA-GENM 시험 - NVIDIA실제시험문제와 답 - 49문항

Question No : 1

For building a zero-shot image classification pipeline, what could be a crucial step in the process?

A.Focusing on enhancing the resolution and quality of images before classification.
B.Manually labeling each image in the dataset for precise classification.
C.Using a model like CLIP for encoding both images and their textual descriptions into a shared representation space for comparison.
D.Designing an algorithm to replace the need for textual descriptions in the classification process.

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Question No : 2

In the context of multimodal machine learning, what does 'data fusion' refer to?

A.Separating different modalities of data into distinct representations.
B.Combining different modalities of data into a single representation.
C.Removing missing or incomplete information from different modalities.
D.Evaluating the quality of diverse data types in multimodal machine learning.

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Question No : 3

Which of the following best describes the role of machine learning in handling multimodal data?

A.To focus on textual data analysis.
B.To reduce the amount of data needed for accurate predictions.
C.To eliminate the need for human intervention in data analysis.
D.To enable models to learn from and interpret diverse data types.

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Question No : 4

Which technique is commonly used to speed up Al model training and inference on hardware accelerators?

A.Quantization
B.Data augmentation
C.Model enlargement
D.Dropout

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Question No : 5

What characteristic of autoencoders makes them suitable for anomaly detection?

A.Their capacity to learn a compressed representation of the data.
B.Their ability to classify images with high accuracy.
C.Their function in enhancing the quality of images.
D.Their capability to predict future outcomes based on past data.

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Question No : 6

What does mixed-precision training refer to?

A.Training a model using multiple precision levels, such as using both single-precision and double precision floating-point numbers.
B.Training a model using diverse data types while addressing challenges related to missing or incomplete information.
C.Training a model using different types of data, such as text, images, audio, time series, and geospatial information.
D.Training a model using incomplete or missing information from different modalities.

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Question No : 7

You are developing a GenAI-Multimodal system that uses data from various sources.
What is one potential issue you need to consider in relation to bias in data?

A.The data used to train the Al system may not be representative of the population it is intended to serve.
B.Bias in data is irrelevant as long as the Al system produces accurate predictions.
C.Bias in data can only be addressed after the Al system has been deployed.
D.Bias in data is not a concern for Al systems as they are designed to be neutral and objective.

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Question No : 8

In machine learning, what is the purpose of data normalization?

A.To remove irrelevant data from the dataset.
B.To increase the complexity of the dataset.
C.To convert data into a specific format for easier analysis.
D.To reduce the dimensionality of the dataset.

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Question No : 9

In a multimodal machine learning context, how are different modalities usually linked to each other?

A.Different modalities are linked through a shared representation that captures the relationships between the modalities.
B.Different modalities are linked through random connections.
C.Different modalities are linked through separate models that are ensembled by tree-based models.
D.Different modalities are not linked to each other in a multimodal machine learning context.

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Question No : 10

What is the role of (Contrastive Language-Image Pretraining)CLIP in-text-to-image generation?

A.CLIP is used to generate image captions from textual input.
B.CLIP is used to convert textual input into image embeddings.
C.CLIP provides a common embedding space for both the textual and image modalities.
D.CLIP is used to enhance datasets through data augmentation for text-to-image generation.

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Question No : 11

Which framework is used for conversational Al models development?

A.NVIDIA Metropolis
B.NVIDIA Nemo
C.NVIDIA Deep Stream
D.NVIDIA Clara

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Question No : 12

You are developing a ML model for image classification. You have a dataset with 10,000 images of cats, dogs and birds.
Which of the following ML models would be the most appropriate choice for this task?

A.Logistic Regression
B.K-Means Clustering
C.Linear Regression
D.Convolutional Neural Network (CNN)

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Question No : 13

Which visualization technique is suitable for representing the distribution of performance scores for different multimodal ML models over different modalities?

A.Heatmap
B.Histogram
C.Box plot
D.Pie chart

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Question No : 14

What is a main application of Triton Inference Server?

A.Triton Server can be used to generate images from pure noise.
B.Triton Server can be used to deploy Al models on the GPU only.
C.Triton Server can be used to execute GPU-accelerated graph analysis with cuGraph.
D.Triton Server can be used to deploy neural networks from various frameworks.

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Question No : 15

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

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

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NVIDIA NCA-GENM 시험