Free Dell EMC NCA-GENL Exam Questions
Try our Free Demo Practice Tests for Comprehensive NCA-GENL Exam Preparation
-
Dell EMC NCA-GENL Exam Questions
-
Provided By: Dell EMC
- Exam: NCA - Generative AI LLMs
- Certification: NVIDIA Certified Associate
-
Total Questions: 300
-
Updated On: Sep 28, 2024
-
Rated: 4.9 |
-
Online Users: 600
-
Question 1
-
You are developing a machine learning model for predictive maintenance in a manufacturing plant. The model needs to analyze sensor data from thousands of machines in real-time, identifying patterns that indicate potential failures. This requires processing a continuous stream of data, some of which exceeds the available memory capacity. Which approach is most suitable for handling this complex scenario?
Answer: A
-
You are developing a machine learning model for predictive maintenance in a manufacturing plant. The model needs to analyze sensor data from thousands of machines in real-time, identifying patterns that indicate potential failures. This requires processing a continuous stream of data, some of which exceeds the available memory capacity. Which approach is most suitable for handling this complex scenario?
-
Question 2
-
Which of the following best describes how a transformer-based LLM can be used to summarize a large document?
Answer: C
-
Which of the following best describes how a transformer-based LLM can be used to summarize a large document?
-
Question 3
-
Your team is developing a chatbot application that leverages a Large Language Model (LLM) for customer support. The LLM needs to handle diverse inquiries from customers in multiple languages and should provide accurate responses within a few seconds. Which of the following configurations will best meet these requirements?
Answer: A
-
Your team is developing a chatbot application that leverages a Large Language Model (LLM) for customer support. The LLM needs to handle diverse inquiries from customers in multiple languages and should provide accurate responses within a few seconds. Which of the following configurations will best meet these requirements?
-
Question 4
-
You are tasked with developing a Python script to extract features from a large corpus of text data for training a machine learning model. Under the guidance of a senior team member, which feature extraction approach should you prioritize to ensure the model captures the most relevant information?
Answer: D
-
You are tasked with developing a Python script to extract features from a large corpus of text data for training a machine learning model. Under the guidance of a senior team member, which feature extraction approach should you prioritize to ensure the model captures the most relevant information?
-
Question 5
-
You have trained two different generative AI models, Model X and Model Y, on the same dataset. To compare their performance, you calculate the Mean Squared Error (MSE) and the proportion of explained variance (R²). Model X has a lower MSE but also a lower R² compared to Model Y. Which model is likely better at explaining the variability in the data?
Answer: C
-
You have trained two different generative AI models, Model X and Model Y, on the same dataset. To compare their performance, you calculate the Mean Squared Error (MSE) and the proportion of explained variance (R²). Model X has a lower MSE but also a lower R² compared to Model Y. Which model is likely better at explaining the variability in the data?