Generative AI, LLMs, and Deep Learning Fundamentals Practice Test

140 preguntas disponibles

Gana confianza para Generative AI, LLMs, and Deep Learning Fundamentals. Practica los conceptos, comprende las respuestas y refuerza tus conocimientos pregunta a pregunta.

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Examen de certificación
Foundational Nivel
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140 Preguntas de práctica
2 horas 20 minutos Tiempo de Práctica
Prueba 5 preguntas gratis
No necesitas cuenta. Una cuenta gratuita incluye 20 preguntas de este examen.
El banco 140 Preguntas de práctica verificadas con los objetivos oficiales.
140 preguntas de práctica

Descripción y detalles del examen

Certificación del NVIDIA Deep Learning Institute que abarca arquitecturas de redes neuronales, computación en GPU, optimización de modelos y aplicaciones de aprendizaje profundo.

Preguntas de Muestra

Elige una respuesta y consulta la explicación para ver cómo funciona la práctica.

Experimentation

A prompt asks the model to "think step by step" for math tutoring. Accuracy improves, but the system now exposes verbose reasoning that confuses younger students. Which adjustment best preserves answer quality while improving UX?

Data Analysis and Visualization

A team builds an embedding index from support articles. Some articles contain boilerplate footers, navigation menus, and repeated legal notices. Retrieval often returns chunks matching boilerplate rather than the user's issue. What preprocessing step is most important?

Data Analysis and Visualization

A data scientist loads a 180 GB clickstream table into pandas on a CPU workstation and repeatedly runs out of memory. The target environment has multiple NVIDIA GPUs and the workflow is mostly joins, filters, and aggregations. Which tool direction best aligns with the NVIDIA data stack?

Core ML and AI Knowledge

A transformer encoder for classification prepends a special classification token and uses its final hidden state for prediction. What is the purpose of that token?

Core ML and AI Knowledge

A model uses beam search for product descriptions. Outputs become fluent but repetitive and less diverse than sampled outputs. What is the most likely cause?

Oportunidades profesionales y salario

Salario medio: $120,230mercado de EE. UU.– Data Scientists

Fuente: BLS Occupational Employment and Wage Statistics, May 2025 -- Data Scientists (SOC 15-2051), US national. Occupation median, not a certification salary. (2025)

Data Scientists

Los rangos son cifras del mercado de EE. UU. salvo que se muestre un rango local.

Qué temas cubre este examen

01Computer Vision with Convolutional Neural Networks

02Convolutional Neural Networks

03Deep Learning for Autonomous Machines

04Deep Learning for Recommender Systems

05Deep Learning Fundamentals

06Generative Adversarial Networks

07Generative AI and Diffusion Models

08GPU Computing

09Model Acceleration and Deployment

10Model Deployment

11Multi-GPU and Distributed Training

12Natural Language Processing with Recurrent and Transformer Networks

13Recurrent Neural Networks

14TensorRT Optimization

15Transformer Architecture

Preguntas Frecuentes

What kind of practice is this?

Which LLM topics are emphasized?

How can I reinforce the concepts?