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在談到 NCA-GENM 最新考古題，很難忽視的是可靠性。我們是一個為考生提供準確的考試材料的專業網站，擁有多年的培訓經驗，NVIDIA NCA-GENM 題庫資料是個值得信賴的產品，我們的IT精英團隊不斷為廣大考生提供最新版的 NVIDIA NCA-GENM 認證考試培訓資料，我們的工作人員作出了巨大努力，以確保考生在 NCA-GENM 考試中總是取得好成績，可以肯定的是，NVIDIA NCA-GENM 學習指南是為你提供最實際的認證考試資料，值得信賴。

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購買後，立即下載 NCA-GENM 題庫 (NVIDIA Generative AI Multimodal): 成功付款後, 我們的體統將自動通過電子郵箱將您已購買的產品發送到您的郵箱。（如果在12小時內未收到，請聯繫我們，注意：不要忘記檢查您的垃圾郵件。）

最新的 NVIDIA-Certified Associate NCA-GENM 免費考試真題:

1. You are training a multimodal model that combines audio and video dat
a. You observe that the model performs well on the training data but generalizes poorly to unseen data. Which of the following regularization techniques is MOST likely to improve the generalization performance in this scenario?

A) Data Augmentation
B) Early Stopping
C) Dropout
D) L1 Regularization (Lasso)
E) Weight Decay (L2 Regularization)

2. You are tasked with evaluating a text-to-video generation model. Which of the following metrics would be MOST appropriate for assessing the temporal coherence and smoothness of the generated videos?

A) Frchet Video Distance (FVD)
B) Learned Perceptual Image Patch Similarity (LPIPS)
C) BLEU score
D) Inception Score (IS)
E) Frchet Inception Distance (FID)

3. A multimodal dataset consists of video footage of human actions and corresponding wearable sensor data (accelerometer, gyroscope). The goal is to predict the type of action being performed. However, the sensor data is noisy and often misaligned with the video frames. Consider the following code snippet designed to synchronize and clean the sensor data:
What is the primary purpose of the 'resample' function in this code, and what potential issues might arise from using a simple aggregation method during resampling?

A) The 'resample' function filters the sensor data and .mean() only returns the most relevant sensor data
B) The 'resample' function decreases the video framerate to the rate of the sensor. Using .mean()' is only useful if there is no noise in the sensor data
C) The 'resample' function aligns the sensor data to the video frame rate. Using is appropriate as it averages out the noise in the sensor data.
D) The 'resample' function increases the sensor data frequency. Using .mean()' is only useful if there is no noise in the sensor data
E) The 'resample' function aligns the sensor data to the video frame rate. Using '.mean()' might smooth out important peaks and valleys in the sensor data, potentially losing crucial information.

4. You are tasked with visualizing the performance of a Generative A1 model across different categories of input dat a. You need to show both the accuracy and the number of data points in each category. Which visualization technique would be MOST effective for this purpose?

A) A bar chart showing the accuracy for each category, with error bars indicating the sample size.
B) A table showing the accuracy and sample size for each category.
C) A pie chart showing the accuracy for each category.
D) A scatter plot showing the relationship between accuracy and sample size for each category.
E) A combination chart (e.g., bar and line) with bars showing the accuracy and a line showing the sample size.

5. You are tasked with building a Generative A1 model that can generate realistic images of birds based on text descriptions. You have a large dataset of bird images and corresponding text captions. Which of the following architectures is MOST suitable for this task, considering both image quality and training efficiency?

A) An Image Transformer model trained from scratch.
B) A Generative Adversarial Network (GAN) conditioned on the text descriptions (e.g., a StackGAN or AttnGAN).
C) A simple Recurrent Neural Network (RNN) to generate pixel values sequentially.
D) A standard Convolutional Neural Network (CNN) for image generation.
E) A Variational Autoencoder (VAE) trained on the image dataset.

問題與答案：