BM Infotrade Interview Questions and Answers

Q1. Difference between list and tuple
Ans. 
List is mutable, tuple is immutable in Python.
• List can be modified after creation, tuple cannot.

• List uses square brackets [], tuple uses parentheses ().

• List is used for collections of items that may change, tuple for fixed collections.

• Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
Answered by AI
Add your answer
Q2. Oops concept- polymorphism , encapsulation
Add your answer
Q3. Normalisation in sql
Ans. 
Normalization in SQL is the process of organizing data in a database to reduce redundancy and improve data integrity.
• Normalization involves breaking down data into smaller, more manageable tables.

• It helps in reducing data redundancy by storing data in a structured way.

• Normalization ensures data integrity by minimizing data anomalies.

• There are different normal forms like 1NF, 2NF, 3NF, etc. to achieve database normaliza...read more
Answered by AI
Add your answer
Q4. Difference between supervised and unsupervised learning Machine learning vs deep learning CNN vs RNN
Ans. 
Supervised learning uses labeled data for training, while unsupervised learning uses unlabeled data. Machine learning is a subset of AI, while deep learning is a subset of machine learning. CNNs are used for image recognition, while RNNs are used for sequential data.
• Supervised learning requires labeled data for training, where the model learns to map input data to output labels (e.g., classification or regression tasks...read more
Answered by AI
Add your answer
Q5. What is difference between array and dataframe
Ans. 
Arrays are one-dimensional data structures, while dataframes are two-dimensional data structures used in data analysis.
• Arrays are one-dimensional and can hold only one type of data, while dataframes are two-dimensional and can hold multiple types of data.

• Dataframes are commonly used in data analysis with libraries like Pandas in Python, while arrays are more basic data structures.

• Arrays are typically used for simple da...read more
Answered by AI
Add your answer
Q6. Why you want to be an data scientist
Add your answer
Q7. Detail about projects (that are metioned in resume)
Add your answer

Q1. General questions were asked.
Add your answer

Q1. Customer acquisition and what are sales and analytics sales.
Add your answer

Q1. Question regarding post sales solutions
Add your answer

Q1. ASk normal questions about our background in coding.
Add your answer

Giving assessment and asked about the assessment regarding question

The core technical application basis assignments that check the conceptual knowledge and hands-on experience of an individual.

Q1. About Azure cloud
Add your answer
Q2. About AWS Cloud
Add your answer

Q1. Salary negotiation
Add your answer