NCA-GENM - NVIDIA Certified Associate: Multimodal Generative AI Practice Questions: Multimodal Data Domain

Correct Answer: B

Explanation: Sourcing datasets from the same domain ensures consistency and relevance, which is critical for effective multimodal learning. Option A is incorrect because equal amounts do not necessarily ensure quality. Option C is incorrect as both modalities should be detailed. Option D is incorrect because dataset quality is more important than sheer size.

Correct Answer: B

Explanation: Aligning annotations across modalities is crucial for maintaining temporal and spatial consistency, which is essential for training multimodal models effectively. Option A is incorrect because the format of annotations depends on the specific use case and tool requirements. Option C is incorrect because while pre-trained models can assist, manual annotation may still be necessary. Option D is incorrect because all relevant modalities should be annotated, not just the most frequent one.

Correct Answer: B

Explanation: Including diverse data sources is important for ensuring that the model can generalize across different real-world scenarios, which is critical for robust multimodal AI applications. Option A is incorrect as quality is more important than quantity. Option C is incorrect because focusing on a specific data type contradicts the multimodal approach. Option D is incorrect because diversity can complicate preprocessing but is necessary for better model performance.

Correct Answer: B

Explanation: Option B is correct because NVIDIA DeepStream is designed for high-performance video and image processing, making it ideal for annotating and processing large-scale multimodal datasets. Option A is incorrect as NVIDIA TensorRT is primarily used for inference optimization. Option C is incorrect because NVIDIA CUDA Toolkit provides a parallel computing platform but is not specific to multimodal data processing. Option D is incorrect as NVIDIA Jetson Nano is a computing board, not a software solution for data processing.

Correct Answer: B

Explanation: Extracting key frames is essential for reducing data size while maintaining the important content of the video, which is crucial for effective model training. Option A is incorrect as it loses temporal information. Option C is incorrect because reducing frame rate arbitrarily can lead to loss of important information. Option D is incorrect because high-definition formats are not always necessary and can be resource-intensive.

Correct Answer: B

Explanation: Option B is correct because attention maps help identify and focus on the most relevant features from each modality, improving the model's ability to learn and integrate information effectively from both audio and visual inputs. Option A is incorrect because attention maps do not directly relate to data augmentation. Option C is incorrect as simultaneous processing is not the primary function of attention maps. Option D is incorrect because attention maps do not convert data between modalities.

Correct Answer: C

Explanation: Collecting paired data where each image is associated with a relevant audio clip is crucial for training a multimodal model that can learn the relationships between the two modalities. Option A limits the use of audio data, option B would not allow the model to learn meaningful associations, and option D ignores the importance of audio data.

Correct Answer: B

Explanation: Option B is correct because aligning audio data temporally with visual data is essential for the system to accurately interpret and integrate multimodal inputs. Option A is incorrect as the format does not impact the alignment. Option C is incorrect because converting audio to text may cause loss of important audio features. Option D is incorrect as synchrony is more critical than audio quality alone in multimodal systems.

Correct Answer: B

Explanation: B is correct because normalizing data across different modalities helps in maintaining consistency and improving model performance. A is incorrect because multimodal systems require data from multiple modalities. C is incorrect as using proprietary datasets can be beneficial if licensing is managed properly. D is incorrect because diversity in data is crucial for model generalization.

Correct Answer: B

Explanation: Dataset curation in multimodal AI involves ensuring that the dataset is representative and balanced across different modalities, such as text, audio, and video. This helps in training models that can generalize well across different data types. Options A, C, and D relate to different aspects of AI development such as optimization and accuracy improvement, which are not the primary focus of dataset curation.