1. A method used to classify the output into a finite number of classes:
(A) Database (B) Online shopping (C) Classification (D) None of these
Answer: (C) Classification
2. If the number of output classes is two, then the classification is:
(A) Datasets (B) Binary classification (C) Both A & B (D) None of these
Answer: (B) Binary classification
3. They are responsible for handling large amounts of structured and unstructured data:
(A) Scientists (B) Economists (C) Data engineers (D) Data scientists
Answer: (C) Data engineers
4. A type of machine learning based on rewards and punishments:
(A) Reinforcement learning (B) Clustering learning (C) Supervised machine learning (D) Unsupervised machine learning
Answer: (A) Reinforcement learning
5. It is a component of data science:
(A) Billing (B) Gaming (C) Machine learning (D) Social media
Answer: (C) Machine learning
Section B:
B.Write TRUE or FALSE.
1. The available data may have noise or unused information.
Answer: TRUE
2. To understand data in a better manner, different visualisation techniques must be used.
Answer: TRUE
3. The first and most important component of data science is the availability of relevant data.
Answer: TRUE
4. Data transportation can help to make predictions about unforeseen or future data.
Answer: FALSE
5. A data mining engineer is an expert who uses data to provide insights.
Answer: TRUE