Tools (e.g., Weka, RapidMiner, R, Python libraries) MCQs January 8, 2026November 19, 2024 by u930973931_answers 15 min Score: 0 Attempted: 0/15 Subscribe 1. Which of the following tools is an open-source data mining software that provides a graphical user interface for building machine learning models? (A) Weka (B) Tableau (C) SQL Server (D) Microsoft Power BI 2. What is the primary use of the Python library Scikit-learn? (A) Data visualization (B) Supervised and unsupervised machine learning algorithms (C) Deep learning model building (D) Text mining and NLP 3. Which of the following is a feature of the RapidMiner tool? (A) Only suitable for text mining (B) Script-free visual programming interface (C) Requires complex coding (D) Command-line interface only 4. In which scenario is the R programming language most appropriate? (A) Large-scale distributed data preprocessing (B) Managing relational databases (C) Developing predictive models using machine learning (D) Real-time IoT data processing 5. Which Python library is widely used for data manipulation and analysis? (A) Pandas (B) Keras (C) TensorFlow (D) Matplotlib 6. What is the main advantage of using Weka for data mining tasks? (A) Requires advanced coding (B) Designed for real-time streaming (C) Provides a simple graphical interface (D) Does not support supervised learning 7. Which tool supports building complex machine learning models using visual programming without coding? (A) Weka (B) R (C) Jupyter Notebooks (D) RapidMiner 8. In Python, which library is commonly used for plotting and data visualization? (A) Matplotlib (B) Pandas (C) NumPy (D) SciPy 9. Which of the following is a popular R package used for machine learning and data mining? (A) caret (B) dplyr (C) NumPy (D) Matplotlib 10. What is the primary purpose of the Python library TensorFlow? (A) Deep learning and neural network modeling (B) Data visualization (C) Data preprocessing (D) Statistical analysis 11. Which tool is most commonly used for text mining tasks such as tokenization and named entity recognition? (A) NLTK (Natural Language Toolkit) (B) RapidMiner (C) Weka (D) Tableau 12. Which of the following tools is designed for statistical computing and graphics? (A) RapidMiner (B) R (C) Excel (D) Weka 13. What is a key feature of the Pandas library in Python? (A) Deep learning model training (B) Time-series analysis only (C) Data manipulation using data frames (D) Web application development 14. Which tool is best suited for deep learning and neural networks in Python? (A) Keras (B) Scikit-learn (C) NLTK (D) Pandas 15. In Weka, which component is used to train machine learning models? (A) Explorer (B) Classify (C) Preprocess (D) Visualize