"Simple Q&A PDF for NCA-AIIO Exam Preparation"

1. NVIDIA NCA-AIIO Exam AI Infrastructure and Operations Exam Latest Version: 6.0 DEMO Version Full Version Features: • 90 Days Free Updates • 30 Days Money Back Guarantee • Instant Download Once Purchased • 24 Hours Live Chat Support Full version is available at link below with affordable price. https://www.directcertify.com/nvidia/nca-aiio https://www.directcertify.com/nvidia/nca-aiio Page 1 of 6

2. Question 1. (Single Select) Fill in the blank: In the context of machine learning, _____ algorithms adjust their parameters through exposure to data without being explicitly programmed to perform a task. A: Automated B: Adaptive C: Self-driven D: Autonomous Correct Answer: C Explanation: Adaptive algorithms are a hallmark of machine learning where they adjust their parameters from the data they process, enabling them to perform tasks beyond their initial explicit programming. This learning ability is crucial for effective machine learning applications. Question 2. (Single Select) You are training an AI model to predict customer churn for a subscription-based service. While the model performs well on the training data, it underperforms on the validation set. What adjustments should be made to enhance the model's generalization capabilities? A: Adding additional features to the dataset to enhance prediction accuracy. B: Decreasing the learning rate to slow down the training process for better convergence. C: Applying regularization techniques to prevent overfitting on the training data. D: Rebalancing the dataset to ensure equal representation of all target classes. https://www.directcertify.com/nvidia/nca-aiio Page 2 of 6

3. Correct Answer: C Explanation: Applying regularization techniques such as L1, L2, or dropout reduces the likelihood of overfitting by limiting the model's ability to memorize the training data. This forces the model to learn generalized patterns that improve its performance on validation and test sets. Question 3. (Single Select) You are tasked with developing a data annotation framework for a voice recognition system that must operate under varied acoustic conditions. What strategy should be implemented to enhance the model’s accuracy? A: Focusing on the most common language and accent for initial training phases. B: Creating a diverse dataset that includes a wide range of dialects, accents, and background noises. C: Limiting the dataset to recordings made in controlled studio environments only. D: Standardizing the audio quality to a single format to simplify the annotation process. Correct Answer: B Explanation: For voice recognition systems, creating a dataset that includes diverse dialects, accents, and background noises is crucial. This diversity ensures that the AI model can perform well in various acoustic conditions, significantly enhancing its accuracy and usefulness in real-world applications. Question 4. (Single Select) https://www.directcertify.com/nvidia/nca-aiio Page 3 of 6

4. In a scenario where a data center needs to optimize its resource allocation, which AI function is critical for analyzing and predicting workload distributions? A: Real-time monitoring and adjustment of virtual machine deployments. B: Data visualization tools for admins to manually adjust resources. C: AI-driven predictive analytics for effective resource allocation. D: Application of machine learning to optimize server energy profiles. Correct Answer: C Explanation: AI-driven predictive analytics are critical in optimizing resource allocation within data centers because they can analyze vast amounts of operational data to predict workload distributions, which aids in planning and allocating resources more efficiently than real-time monitoring or manual adjustments. Question 5. (Single Select) A manufacturing plant uses edge AI to monitor equipment for potential failures. The system must detect anomalies within milliseconds and trigger alerts while operating in a harsh environment. What hardware considerations are critical for this application? A: Deploying lightweight models that require constant cloud connectivity. B: Focusing on using general-purpose hardware to reduce costs significantly. C: Selecting ruggedized devices with optimized performance for extreme conditions. D: Deploying redundant systems to ensure reliability in critical tasks. Correct Answer: C Explanation: Ruggedized devices with optimized performance are critical in harsh manufacturing https://www.directcertify.com/nvidia/nca-aiio Page 4 of 6

5. environments where conditions may include extreme temperatures, vibrations, and dust. These devices ensure that the edge AI system operates reliably while meeting stringent performance requirements for anomaly detection and alerting. https://www.directcertify.com/nvidia/nca-aiio Page 5 of 6

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