Free NCA-GENL – NVIDIA-Certified Associate: Generative AI LLMs Practice Test Question

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• ○ Representing text as vectors
• ○ Encrypting text for storage
• ○ Compressing model weight files
• ○ Scheduling GPU training jobs

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• ○ Increasing model parameter counts
• ○ Removing the need for prompts
• ○ Grounding answers in retrieved documents
• ○ Training models on more epochs

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• ○ Self attention mechanism components
• ○ Recurrent hidden state loops
• ○ Convolutional filter window operations
• ○ Decision tree split rules

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• ○ Translating text between languages
• ○ Removing all punctuation marks
• ○ Splitting text into units
• ○ Counting document word frequencies

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• ○ Estimate generalisation performance reliably
• ○ Increase training dataset size
• ○ Select GPU hardware configurations
• ○ Deploy models into production

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• ○ Underfits all training patterns
• ○ Ignores the training dataset
• ○ Memorises training data patterns
• ○ Trains for too few epochs

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• ○ Database backup automation service
• ○ Document summarisation application service
• ○ Network routing optimisation service
• ○ Customer support chatbot service

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• ○ Document chunking into passages
• ○ Embedding based similarity retrieval
• ○ Keyword only exact matching
• ○ Manual document photocopy distribution

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• ○ Train validation test splitting
• ○ Prompt wording style choices
• ○ GPU rack layout planning
• ○ Model comparison with metrics

Answer is in the explanation below.

Answer is in the explanation below.

Answer is in the explanation below.