NVIDIA NCA-GENM - Generative AI Multimodal Exam
Page: 3 / 12
Total 60 questions
Question #11 (Topic: Topic 1, Core machine learning and AI knowledge
)
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 capability to predict future outcomes based on past data.
D. Their function in enhancing the quality of images.
Answer: A
Question #12 (Topic: Topic 1, Core machine learning and AI knowledge
)
How is CTC loss utilized to optimize Large Language Models (LLMs) for sequence modeling tasks?
A. CTC loss is employed to enhance the translation accuracy of LLMs between different languages.
B. It is mainly used to align the lengths of the input and output sequences in models performing tasks like speech recognition.
C. CTC loss is utilized to reduce the vocabulary size of LLMs to make training more efficient.
D. CTC loss is applied in LLMs to improve sentence generation by ensuring grammatical correctness.
Answer: B
Question #13 (Topic: Topic 1, Core machine learning and AI knowledge
)
Which NLP task involves token classification?
A. Sentinment analysis
B. Tokenization
C. Text classification
D. Part-of-speech tagging
Answer: D
Question #14 (Topic: Topic 1, Core machine learning and AI knowledge
)
Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?
A. Neural network integration
B. Prompt engineering
C. State management and composition
D. Transfer learning
Answer: D
Question #15 (Topic: Topic 2, Data analysis and visualization
)
During the process of data cleansing, which of the following steps is NOT typically performed?
A. Collecting additional data
B. Transforming data into a different format
C. Identifying and handling missing values
D. Removing duplicates
Answer: A
