Online Access Free NCA-GENM Practice Test

Which technique is commonly used to speed up AI model training and inference on hardware accelerators?

• A.Dropout
• B.Data augmentation
• C.Quantization
• D.Model enlargement

In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?

• A.It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
• B.It ensures that AI systems are transparent in their decision-making processes.
• C.It requires AI systems to be developed with an ethical consideration for societal impacts.
• D.It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.

You are working with a large dataset and want to visualize the distribution of a continuous variable. Which type of data visualization would be most appropriate?

• A.Bar chart
• B.Histogram chart
• C.Pie chart
• D.Line chart

In multimodal machine learning, what does 'early fusion' refer to?

• A.Integrating different modalities at the beginning of the model pipeline.
• B.Training separate models for each modality and then combining their predictions.
• C.Ignoring certain modalities and only using one modality for analysis and prediction.
• D.Implementing the model in the early stages of development of the ML solution.

In experimentation, how does data augmentation contribute to improving model accuracy?

• A.It helps in increasing the size of the dataset, leading to better generalization of the model.
• B.It reduces the complexity of the model, making it easier to train and evaluate.
• C.It has no impact on model accuracy and is primarily used for data visualization purposes.
• D.It improves the interpretability of the model by providing additional insights into the data.