Bank of Baroda Assistant Manager Interview Questions and Answers

Q1. Can you tell me about yourself?
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Q2. Why do you wants to work in hdfc bank
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Q3. How do Bank operate
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Q4. What is upsell and cross sell
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Q5. How do you effectively pitch to new customers and persuade them about your product?
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Best banking industry

Q1. Best HR manager support
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Q2. Best banking industry for HR manager support
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Q3. And joining formalities
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Best group discussion HR team

Q1. Best' knowledge services
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Best case study structure

Q1. Best banking technical support
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Best' knowledge services of Branch banking activities

Best assignment test for
Below company related questions

Best banking industry in TPP

Best banking technical support and achieving Retail asset Target

Q1. Best banking HR policy
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Q1. Can you tell me about yourself?
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Q2. What can you tell me about your work experience?
Ans. 
I have over 5 years of experience in retail management, leading teams to achieve sales targets and providing excellent customer service.
• Over 5 years of experience in retail management

• Proven track record of leading teams to achieve sales targets

• Strong focus on providing excellent customer service
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Q1. About your family
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Q1. Working Experience
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Q2. Knowledge for financial services
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Q1. Working Experience
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Q2. How Handel customer & staff
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Handle customers and staff with empathy, communication, and problem-solving skills.
• Listen actively to customers and staff to understand their needs and concerns.

• Communicate clearly and effectively to address any issues or questions.

• Provide support and guidance to both customers and staff in a professional and respectful manner.

• Resolve conflicts or challenges calmly and efficiently to maintain a positive work environmen...read more
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Q1. Introduction round
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Q2. About the banking
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Q3. Where do you located
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Q4. Salaried expectation
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Q5. And branch location
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Q1. Concepts of class, polymorphism, what are decorators, concepts of inheritance.
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Q2. Difference between bagging and boosting
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Bagging and boosting are ensemble learning techniques used in machine learning to improve the performance of models by combining multiple weak learners.
• Bagging (Bootstrap Aggregating) involves training multiple models independently on different subsets of the training data and then combining their predictions through averaging or voting.

• Boosting involves training multiple models sequentially, where each subsequent mode...read more
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Q3. Python coding question to find the employee with second largest income
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Python code to find the employee with second largest income in a list of employees
• Sort the list of employees by income in descending order

• Return the employee at index 1 in the sorted list
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Q4. Detect the unique characters in the substring and their length
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The candidate needs to identify unique characters in a given substring and calculate their length.
• Iterate through the substring and store each character in a set to keep track of unique characters

• Calculate the length of the set to determine the number of unique characters

• Return the set of unique characters and their length as an array of strings
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Q5. Concepts of mutable and immutable in python.
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In Python, mutable objects can be changed after creation, while immutable objects cannot be changed.
• Mutable objects: lists, dictionaries, sets

• Immutable objects: strings, tuples, numbers

• Example: x = [1, 2, 3] (mutable), y = 'hello' (immutable)
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Q1. What is confidence interval of an estimator?
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Confidence interval of an estimator is a range of values that is likely to contain the true value of the parameter being estimated.
• Confidence interval provides a range of values within which we are confident the true parameter value lies.

• It is calculated based on the sample data and the desired level of confidence.

• For example, a 95% confidence interval for the mean weight of a population would be a range of values with...read more
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Q2. How logistic regression works for multiple class classification?
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Logistic regression works by calculating the probability of each class and assigning the observation to the class with the highest probability.
• Logistic regression calculates the probability of each class using the logistic function.

• The model then assigns the observation to the class with the highest probability.

• It is commonly used for binary classification, but can be extended to multiple classes using techniques like
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Q3. How do you deal with missing values in a data?
Ans. 
I handle missing values by identifying them, deciding on a strategy (imputation or deletion), and documenting the process.
• Identify missing values by checking for null values or using descriptive statistics.

• Decide on a strategy for handling missing values such as imputation (mean, median, mode) or deletion (row or column).

• Document the process of handling missing values to ensure transparency and reproducibility.
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