Uncategorized AI/ML Screening Test by mfh.officials@gmail.com Jan 7, 2025 0 Comment Artificial Intelligence (AI) and Machine Learning (ML) 1 / 18 Which technique is used to evaluate the performance of a regression model? Accuracy Precision ROC Curve Mean Squared Error (MSE) 2 / 18 What does the "softmax" activation function do? Maps any value between 0 and 1 Prevents overfitting in the model Converts the output of a network to a probability distribution Introduces non-linearity to the network 3 / 18 Which of the following algorithms is typically used for outlier detection in continuous data? Decision Trees Naive Bayes K-Means DBSCAN 4 / 18 What is "bias" in machine learning? The error due to incorrect assumptions made by the model The error due to lack of data The error due to model complexity The error due to random fluctuations in the dataset 5 / 18 Which type of machine learning algorithm is used to group data points into distinct clusters? Regression Dimensionality Reduction Clustering Classification 6 / 18 Which neural network architecture is designed to work with sequential data such as time-series or text? Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Fully Connected Networks Deep Belief Networks 7 / 18 Which of the following models uses the concept of a "kernel" to map input data into a higher-dimensional space? Logistic Regression Naive Bayes Decision Trees Support Vector Machines (SVM) 8 / 18 Which of the following is true for the concept of "Gradient Descent"? It is used to optimize a function by finding the local minimum. It always converges to the global minimum. It works by choosing random weights for model parameters. It cannot be used for deep learning models. 9 / 18 Which of the following is true about decision trees? They are not interpretable. They can only be used for classification tasks. They split data based on feature values using a tree-like structure. They are sensitive to overfitting only on very small datasets. 10 / 18 Which type of neural network is specifically designed for spatial data, such as images? Multilayer Perceptrons (MLP) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN) Generative Adversarial Networks (GAN) 11 / 18 What is the purpose of "feature scaling" in machine learning? To reduce the number of features To increase the interpretability of the model To eliminate missing values To make sure all features are on the same scale to improve model performance 12 / 18 Which of the following techniques is used to improve the performance of an underfitting model? Cross-validation Pruning Regularization Increase model complexity 13 / 18 Which algorithm is best suited for detecting anomalies in data? Decision Trees K-Means Clustering One-Class SVM Naive Bayes 14 / 18 Which of the following is NOT a type of Machine Learning? Reinforcement Learning Supervised Learning Unsupervised Learning Evolutionary Learning 15 / 18 In deep learning, which of the following techniques is used to prevent the model from overfitting? All of the above Early Stopping L2 Regularization Dropout 16 / 18 Which of the following is a characteristic of supervised learning? The model learns from labeled data. The model learns patterns without labeled data. The model uses feedback from the environment. The model learns to classify data into distinct categories without labels. 17 / 18 Which technique can be used to prevent overfitting in deep learning models? Cross-validation All of the above Early stopping Regularization (L1/L2) 18 / 18 Which of the following measures the proportion of false positives in a classification problem? F1 Score Recall False Positive Rate (FPR) Precision Your score isThe average score is 48%
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