What is Python?

• a) A programming language
• b) A database management system
• c) A data visualization tool
• d) A data analysis tool

What is data science?

• a) A field of study that deals with the collection, analysis, and interpretation of data
• b) A field of study that deals with the design and development of software
• c) A field of study that deals with the management of data
• d) A field of study that deals with the production of data

What are supervised learning algorithms?

• a) Algorithms that learn from labeled data
• b) Algorithms that learn from unlabeled data
• c) Algorithms that learn from both labeled and unlabeled data
• d) Algorithms that do not require any training data

What are unsupervised learning algorithms?

• a) Algorithms that learn from labeled data
• b) Algorithms that learn from unlabeled data
• c) Algorithms that learn from both labeled and unlabeled data
• d) Algorithms that do not require any training data

What is fraud detection in the finance industry?

• a) Analyzing financial data to detect fraudulent activities
• b) Analyzing customer data to detect fraudulent activities
• c) Analyzing market data to detect fraudulent activities
• d) Analyzing employee data to detect fraudulent activities

What is predictive analytics in the healthcare industry?

• a) Analyzing past patient data to predict future diseases
• b) Analyzing current patient data to diagnose diseases
• c) Analyzing patient data to recommend treatment options
• d) Analyzing patient data to improve patient care

What is customer segmentation in the retail industry?

• a) Analyzing customer data to identify different customer segments
• b) Analyzing market data to identify different customer segments
• c) Analyzing product data to identify different customer segments
• d) Analyzing employee data to identify different customer segments

What is predictive maintenance in the manufacturing industry?

• a) Analyzing maintenance data to predict future maintenance needs
• b) Analyzing production data to predict future maintenance needs
• c) Analyzing quality control data to predict future maintenance needs
• d) Analyzing employee data to predict future maintenance needs

What is the main focus of data science in different industry verticals?

• a) Solving industry-independent challenges
• b) Ignoring industry challenges
• c) Applying generic solutions to all challenges
• d) Solving industry-specific challenges

What are the different data sources in different industry verticals?

• a) Structured data sources
• b) Unstructured data sources
• c) Both a and b
• d) None of the above