Question 1: What is the best method to handle financial data that violates expected value ranges (e.g., transactions that are too large or too small)?
Which action should you take?
Question 2: Which of the following would be the most effective method for detecting fraud in financial transactions using statistical analysis?
Which action should you take?
Question 3: In hypothesis testing, what does a p-value less than 0.05 generally indicate?
Which action should you take?
Question 4: Which NoSQL database type is most suitable for handling unstructured data, such as customer interactions and communication logs, in BFSI applications?
Which action should you take?
Question 5: When designing a database schema for loan transactions in BFSI, which of the following relationships should be represented as a one-to-many relationship?
Which action should you take?
Question 6: Which chart type is most suitable for visualizing the distribution of a large financial dataset with multiple variables?
Which action should you take?