NCA-GENM Exam Dumps | You have a dataset of customer reviews for a Generative A1 service. The dataset contains text reviews,

Home
NVIDIA
NVIDIA Generative AI Multimodal
NVIDIA.NCA-GENM.v2025-09-05.q192
Question 72

Valid NCA-GENM Dumps shared by ExamDiscuss.com for Helping Passing NCA-GENM Exam! ExamDiscuss.com now offer the newest NCA-GENM exam dumps, the ExamDiscuss.com NCA-GENM exam questions have been updated and answers have been corrected get the newest ExamDiscuss.com NCA-GENM dumps with Test Engine here:

Access NCA-GENM Dumps Premium Version
(403 Q&As Dumps, 35%OFF Special Discount Code: freecram)

<< Prev Question Next Question >>

Question 72/192

You have a dataset of customer reviews for a Generative A1 service. The dataset contains text reviews, numerical ratings (1-5 stars), and categorical data about the customer's subscription plan (Basic, Premium, Enterprise). You want to build a model to predict the numerical rating based on the text review and subscription plan. Which data analysis and modeling approach would be MOST suitable?

A. Perform sentiment analysis on the text reviews, then use linear regression to predict the numerical rating based on the sentiment score and subscription plan (one-hot encoded).

B. Use topic modeling on the text reviews, then use logistic regression to predict the numerical rating based on the topic distributions and subscription plan.

C. Train a deep learning model (e.g., BERT or RoBERTa) on the text reviews, concatenate the output embeddings with the one-hot encoded subscription plan, and use a regression layer to predict the numerical rating.

D. Use a decision tree to predict the numerical rating based on the text reviews (using TF-IDF) and subscription plan.

E. Calculate the average word length of the text reviews and use that as a feature in a linear regression model along with the subscription plan to predict the rating.

Correct Answer: C

Using a pre-trained language model like BERT or RoBERTa captures the semantic meaning of the text reviews most effectively. Concatenating the embeddings with the subscription plan allows the model to learn the combined effect of both inputs. Regression layer is used as numeric ratings (1-5 stars) are provided as the target values. Sentiment and topic modeling can work as features but BERT/RoBERTa gives better context. Other options aren't able to capture complex context.

Your email address will not be published. Required fields are marked *

Comment: *

Name: *

Email: *

Rating: *

Verification: *

Question List (192q): Question 1: You are working on a multimodal emotion recognition system t...; Question 2: You are working on a generative A1 model that creates descri...; Question 3: Consider the following code snippet used within a U-Net arch...; Question 4: Which statistical method is most appropriate for evaluating ...; Question 5: When deploying a multimodal Generative A1 model for a real-t...; Question 6: You're building a multimodal model that takes an image and a...; Question 7: You are training a multimodal Generative A1 model for genera...; Question 8: You are optimizing a multimodal model for deployment on an e...; Question 9: You are building a multimodal emotion recognition system tha...; Question 10: You are tasked with evaluating a text-to-video generation mo...; Question 11: You're tasked with building a system that generates personal...; Question 12: You are working on a multimodal model for video captioning, ...; Question 13: When training a multimodal model with both text and image da...; Question 14: Consider the following code snippet which aims to create a c...; Question 15: When working with geospatial data in conjunction with text d...; Question 16: You're evaluating the performance of a video captioning mode...; Question 17: You are building a multimodal generative AI model to create ...; Question 18: You are tasked with integrating a CLIP model into your appli...; Question 19: You have trained a multimodal model to generate descriptions...; Question 20: You're working with a multimodal model that fuses text and i...; Question 21: You're fine-tuning a pre-trained multimodal model for a spec...; Question 22: Consider the following code snippet used for creating a mult...; Question 23: Consider a scenario where you want to use a Transformer mode...; Question 24: You're tasked with building a model that can generate recipe...; Question 25: You are fine-tuning a large pre-trained language model for a...; Question 26: You are building a generative AI model that creates realisti...; Question 27: Which of the following evaluation metrics is MOST appropriat...; Question 28: You are building a Generative Adversarial Network (GAN) to g...; Question 29: You are working on a project that involves generating music ...; Question 30: You are working with a multimodal model that combines text a...; Question 31: You have trained a multimodal model for visual question answ...; Question 32: You are building a conditional GAN (cGAN) to generate images...; Question 33: Consider the following PyTorch code snippet intended for tra...; Question 34: You are working on a multimodal sentiment analysis task wher...; Question 35: A financial institution aims to detect fraudulent transactio...; Question 36: You are building a multimodal model to classify news article...; Question 37: You have developed a multimodal model that predicts stock pr...; Question 38: You're working on a multimodal AI system that combines text ...; Question 39: You are fine-tuning a pre-trained Generative A1 model for a ...; Question 40: Consider the following Python code snippet used for processi...; Question 41: You're developing an Avatar Cloud Engine (ACE) application t...; Question 42: You are training a multimodal generative A1 model for image ...; Question 43: You are working with a large dataset of images for training ...; Question 44: Which of the following are potential benefits of using multi...; Question 45: You are working with a dataset of handwritten digits and tra...; Question 46: When evaluating a multimodal generative model, which of the ...; Question 47: Consider this Python code snippet using PyTorch:...; Question 48: A multimodal A1 model is trained on a dataset containing bia...; Question 49: You are tasked with integrating a CLIP model into your appli...; Question 50: Which of the following are key challenges specific to traini...; Question 51: You're developing a multimodal A1 system that takes image da...; Question 52: Consider a generative AI model that combines text and audio ...; Question 53: You're tasked with building a system that can generate reali...; Question 54: Which of the following is NOT a common challenge in training...; Question 55: You are building a multimodal generative A1 model that creat...; Question 56: You're training a conditional GAN (cGAN) to generate images ...; Question 57: You are developing a system to automatically generate image ...; Question 58: You are building a multimodal model to generate realistic di...; Question 59: You're developing a real-time multimodal A1 system that proc...; Question 60: You're training a multimodal model to generate 3D models fro...; Question 61: You're working with a client to develop a generative A1 mode...; Question 62: You are building a multimodal model that combines text and i...; Question 63: You are developing a text-to-image generative model and want...; Question 64: You are building an image generation pipeline that leverages...; Question 65: You are tasked with deploying a generative A1 model using NV...; Question 66: When training a multimodal generative model for image captio...; Question 67: Explain the role of Tensor Cores and mixed-precision trainin...; Question 68: Which of the following loss functions is MOST suitable for t...; Question 69: You are evaluating two different generative A1 model archite...; Question 70: A self-driving car uses multimodal data (camera images, LiDA...; Question 71: Consider a multimodal dataset containing text, images, and c...; Question 72: You have a dataset of customer reviews for a Generative A1 s...; Question 73: You are developing a multimodal system for medical diagnosis...; Question 74: You're designing a generative A1 system to create realistic ...; Question 75: You are working with a multimodal dataset containing images ...; Question 76: You're developing a system that translates spoken language i...; Question 77: Consider a scenario where you're training a generative A1 mo...; Question 78: Consider the following Python code snippet, which attempts t...; Question 79: You are tasked with optimizing a multimodal model that combi...; Question 80: You are tasked with building a multimodal generative AI mode...; Question 81: You are training a text-to-image diffusion model and observe...; Question 82: You're training a multimodal model for image and text retrie...; Question 83: You're using a pre-trained multimodal model that combines vi...; Question 84: You are building a system that translates sign language vide...; Question 85: Consider the following PyTorch code snippet used for trainin...; Question 86: You are using a pre-trained language model for text classifi...; Question 87: In a multimodal emotion recognition system, you are using bo...; Question 88: You are developing a multimodal sentiment analysis model tha...; Question 89: You are building a multimodal model that takes images and te...; Question 90: Consider a scenario where you're building a multimodal model...; Question 91: You are tasked with evaluating the scalability of a multimod...; Question 92: When building a multimodal model using transformers, you obs...; Question 93: You have a text-to-image model deployed using Triton Inferen...; Question 94: Consider a scenario where you are building an autoencoder us...; Question 95: Which of the following NVIDIA tools or SDKs can MOST effecti...; Question 96: You are training a multimodal model to predict stock prices ...; Question 97: You are experimenting with different loss functions for trai...; Question 98: You are building a Generative A1 model that generates captio...; Question 99: You are building a multimodal application that takes an imag...; Question 100: You are training a conditional generative model to generate ...; Question 101: When using prompt engineering with text-to-image models, whi...; Question 102: A research team has developed a novel multimodal model that ...; Question 103: Consider a multimodal generative A1 model that produces imag...; Question 104: You are working with a large multimodal dataset that contain...; Question 105: You are tasked with deploying a generative A1 model for imag...; Question 106: You're training a model to generate code snippets from natur...; Question 107: You are developing a multimodal generative model that takes ...; Question 108: Consider a scenario where you are developing a multimodal mo...; Question 109: You are fine-tuning a pre-trained large language model (LLM)...; Question 110: You are developing a generative A1 model for medical image s...; Question 111: Consider a scenario where you are developing a multimodal A1...; Question 112: You are building a system that takes an image of a scene and...; Question 113: You are tasked with fine-tuning a pre-trained multimodal mod...; Question 114: You are building a multimodal generative A1 system that crea...; Question 115: You're building a multimodal model that takes images and tex...; Question 116: Which of the following are valid techniques for fusing multi...; Question 117: You are developing a multimodal AI model that processes both...; Question 118: You are tasked with building a multimodal A1 system that can...; Question 119: Which of the following are potential solutions to mitigate t...; Question 120: You're developing a system that analyzes video footage and g...; Question 121: You are developing a system to generate captions for videos....; Question 122: You are tasked with building a multimodal generative A1 mode...; Question 123: You are using the Stable Diffusion model for image generatio...; Question 124: You're training a multimodal model for generating stories fr...; Question 125: You are developing a system that uses a generative A1 model ...; Question 126: You are working on a project that involves generating realis...; Question 127: You're developing a multimodal model that takes both image a...; Question 128: You are tasked with deploying a generative A1 model trained ...; Question 129: Consider a scenario where you are using a pre-trained multim...; Question 130: You are building a system to generate captions for images. Y...; Question 131: You are evaluating a multimodal model that generates descrip...; Question 132: You are working with a multimodal model that combines text a...; Question 133: You're training a multimodal model on text, image, and audio...; Question 134: You are building a multimodal Generative A1 system to genera...; Question 135: You are fine-tuning a pre-trained multimodal model for a spe...; Question 136: You are tasked with evaluating a multimodal A1 model that co...; Question 137: You are developing a system that uses multimodal data (image...; Question 138: You are tasked with building a system that can generate capt...; Question 139: You are tasked with evaluating the trustworthiness of a mult...; Question 140: You are developing a multimodal model that combines time-ser...; Question 141: Consider the following scenario: You are building a multimod...; Question 142: You are tasked with monitoring a deployed multimodal model t...; Question 143: You are training a Generative Adversarial Network (GAN) to g...; Question 144: You are working with a multimodal dataset containing medical...; Question 145: You're building a multimodal model that takes images and tex...; Question 146: You are tasked with deploying a generative A1 model for imag...; Question 147: You're developing a system to generate realistic 3D models f...; Question 148: You are building a real-time multimodal system that processe...; Question 149: You are building a multimodal Generative AI system to genera...; Question 150: You are tasked with building a system that generates realist...; Question 151: You are building a multimodal model that combines text and i...; Question 152: Consider a multimodal dataset containing patient records: te...; Question 153: You are developing a virtual assistant using NVIDIAACE. You ...; Question 154: You are building a video summarization system that uses both...; Question 155: You are tasked with building a system that generates realist...; Question 156: A financial institution is developing a multimodal A1 system...; Question 157: Consider the following code snippet that uses the NVIDIA cuB...; Question 158: Consider the following Python code snippet utilizing the Hug...; Question 159: You're training a VQA (Visual Question Answering) model. Dur...; Question 160: Consider a multimodal generative model trained on a dataset ...; Question 161: You are analyzing a dataset of customer reviews for a Genera...; Question 162: You are building a system that uses a Generative A1 model th...; Question 163: Which of the following Python code snippets correctly demons...; Question 164: You are training a multimodal model that combines text and i...; Question 165: You are developing a generative A1 model to create music bas...; Question 166: You're building a system that generates images from text des...; Question 167: You have a large dataset of images and text descriptions. Yo...; Question 168: Consider this python code using PyTorch. What will be the ou...; Question 169: You are working on a project to classify images of different...; Question 170: You're working on a project involving multimodal transfer le...; Question 171: You are fine-tuning a pre-trained language model for a speci...; Question 172: You are developing a multimodal model that takes both images...; Question 173: Given the following code snippet using NVIDIA Triton Inferen...; Question 174: You are building a multimodal application that takes an imag...; Question 175: You are working on a Generative A1 project that involves ana...; Question 176: You're building an application utilizing NVIDIA ACE to creat...; Question 177: You are fine-tuning a pre-trained multimodal model for a vis...; Question 178: You're training a large language model (LLM) and notice that...; Question 179: You are designing a IJ-Net architecture for semantic segment...; Question 180: Consider the following scenario: You're training a GAN for g...; Question 181: In the context of multimodal data analysis, which of the fol...; Question 182: Which of the following techniques are commonly used to addre...; Question 183: You are working on a project involving generating photoreali...; Question 184: You're analyzing the performance of a generative A1 model th...; Question 185: You are using NeMo to fine-tune a pre-trained language model...; Question 186: You are building a multimodal AI system that generates 3D mo...; Question 187: Consider the following Python code snippet using PyTorch. Wh...; Question 188: You are deploying a Riva-based speech-to-text service in a p...; Question 189: You are deploying a multimodal Generative A1 model on a clou...; Question 190: You're training a Generative Adversarial Network (GAN) to ge...; Question 191: Which of the following is the MOST important factor in ensur...; Question 192: You are working on a project that involves analyzing custome...

[×]

Download PDF File

Enter your email address to download NVIDIA.NCA-GENM.v2025-09-05.q192.pdf

Email:

Disclaimer:
Freecram doesn't offer Real GIAC Exam Questions. Freecram doesn't offer Real SAP Exam Questions. Freecram doesn't offer Real (ISC)² Exam Questions. Freecram doesn't offer Real CompTIA Exam Questions. Freecram doesn't offer Real Microsoft Exam Questions.
Oracle and Java are registered trademarks of Oracle and/or its affiliates.
Freecram material do not contain actual actual Oracle Exam Questions or material.
Microsoft®, Azure®, Windows®, Windows Vista®, and the Windows logo are registered trademarks of Microsoft Corporation.
Freecram Materials do not contain actual questions and answers from Cisco's Certification Exams. The brand Cisco is a registered trademark of CISCO, Inc.
CFA Institute does not endorse, promote or warrant the accuracy or quality of these questions. CFA® and Chartered Financial Analyst® are registered trademarks owned by CFA Institute.
Freecram does not offer exam dumps or questions from actual exams. We offer learning material and practice tests created by subject matter experts to assist and help learners prepare for those exams. All certification brands used on the website are owned by the respective brand owners. Freecram does not own or claim any ownership on any of the brands.

Question 72/192

LEAVE A REPLY

Download PDF File