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10+ Sundaram Finance Interview Questions and Answers

Updated 15 Oct 2024

Q1. Criteria undertook for sourcing and procuring process

Ans.

Criteria for sourcing and procuring process

  • Identifying the need for procurement

  • Determining the specifications and quantity required

  • Identifying potential suppliers and obtaining quotes

  • Evaluating suppliers based on quality, price, and delivery time

  • Negotiating contracts and finalizing the procurement

  • Maintaining records and monitoring supplier performance

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Q2. What is the range of population census in your city?

Ans.

The population census in my city ranges from 500,000 to 1,000,000.

  • Population census in my city varies between 500,000 to 1,000,000.

  • The range of population census in my city is quite diverse.

  • The population census data is updated every few years.

  • The city has experienced growth in population over the years.

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Q3. what is the difference between list and tuples ?

Ans.

Lists are mutable while tuples are immutable in Python.

  • Lists use square brackets [] while tuples use parentheses ().

  • Elements in a list can be added, removed, or modified while tuples cannot be modified.

  • Lists are used for collections of homogeneous items while tuples are used for heterogeneous items.

  • Lists are slower than tuples in terms of performance.

  • Example: my_list = [1, 2, 3] and my_tuple = (4, 'hello', True)

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Q4. Estimate the number of garbage by unit weight in a particular city

Ans.

Estimate the amount of garbage in a city by unit weight

  • Collect data on population size, waste generation rate per capita, and average waste density

  • Calculate total waste generated per day by multiplying population size with waste generation rate

  • Estimate total waste weight by multiplying total waste generated with average waste density

  • Consider factors like industrial waste, commercial waste, and recycling rates for a more accurate estimate

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Q5. what is pickling and unpickling ?

Ans.

Pickling is the process of converting a Python object into a byte stream, while unpickling is the reverse process.

  • Pickling is used to store Python objects in a file or transfer them over a network.

  • The pickle module in Python is used for pickling and unpickling.

  • The pickled file can be opened in any Python environment and the object can be retrieved.

  • Unpickling can also be used to create a deep copy of an object.

  • Security concerns arise when unpickling data from an untrusted sour...read more

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Q6. what is namespace in python ?

Ans.

Namespace is a way to organize code and avoid naming conflicts in Python.

  • Namespaces are implemented as dictionaries.

  • Python uses namespaces to support modularity and avoid naming conflicts.

  • Namespaces can be nested within other namespaces.

  • The global namespace is the namespace that is visible throughout the entire program.

  • The local namespace is the namespace that is visible only within a particular function or code block.

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Q7. what is lambda expression ?

Ans.

Lambda expression is a concise way to represent anonymous functions in programming languages.

  • Lambda expressions are used to create functions without a name.

  • They are often used in functional programming languages.

  • Lambda expressions can be used to pass functions as arguments to other functions.

  • They can also be used to create closures, which are functions that capture variables from their surrounding environment.

  • Lambda expressions are commonly used in Java 8 and newer versions.

  • E...read more

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Q8. what is pep 8 ?

Ans.

PEP 8 is a style guide for Python code.

  • PEP stands for Python Enhancement Proposal.

  • PEP 8 provides guidelines for writing readable and maintainable Python code.

  • It covers topics such as naming conventions, code layout, and programming practices.

  • Examples include using snake_case for variable names and indenting with four spaces.

  • Adhering to PEP 8 can make code more consistent and easier to understand for other developers.

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Q9. What is market sizing?

Ans.

Market sizing is the process of estimating the potential demand for a product or service in a particular market.

  • Market sizing helps businesses understand the size of the market they are targeting.

  • It involves analyzing data on the target market, such as demographics, purchasing behavior, and competition.

  • Market sizing can be done using various methods, including surveys, focus groups, and secondary research.

  • The results of market sizing can help businesses make informed decision...read more

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Q10. Difference between loss function and cost function.

Ans.

Loss function measures the error for a single training example, while cost function measures the average error for the entire training set.

  • Loss function is used to optimize the model parameters during training.

  • Cost function is used to evaluate the performance of the model after training.

  • Loss function is typically defined for a single training example.

  • Cost function is typically defined for the entire training set.

  • Examples of loss functions include mean squared error, cross-ent...read more

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Q11. Explain about static and dynamic RLS

Ans.

Static RLS restricts access based on predefined rules, while dynamic RLS adjusts access based on user attributes or context.

  • Static RLS uses fixed rules to control access to data

  • Dynamic RLS adjusts access based on user attributes or context

  • Static RLS example: Only managers can view salary information

  • Dynamic RLS example: Employees can only access data for their own department

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Q12. Provide a swot analysis for any Indian company

Ans.

SWOT analysis of Tata Motors

  • Strengths: Strong brand reputation, diverse product portfolio, global presence

  • Weaknesses: Dependence on the domestic market, high competition in the industry

  • Opportunities: Expansion into electric vehicles market, growth in emerging markets

  • Threats: Economic downturns, changing government regulations

  • Example: Tata Motors has a strong brand presence in India and globally, but faces competition from other automotive companies.

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Q13. Types of Joins in SQL

Ans.

Types of joins in SQL include inner join, left join, right join, and full outer join.

  • Inner join: Returns rows when there is a match in both tables.

  • Left join: Returns all rows from the left table and the matched rows from the right table.

  • Right join: Returns all rows from the right table and the matched rows from the left table.

  • Full outer join: Returns rows when there is a match in either table.

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Q14. tell about networking

Ans.

Networking is the process of building and maintaining relationships with professionals in your field to exchange information and opportunities.

  • Attend industry events and conferences to meet other professionals

  • Utilize social media platforms like LinkedIn to connect with others in your industry

  • Join professional organizations or online forums to expand your network

  • Follow up with contacts regularly to maintain relationships

  • Networking can lead to job opportunities, collaborations,...read more

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Q15. Tools related to email marketing

Ans.

Email marketing tools help in creating, sending, and tracking email campaigns.

  • Mailchimp

  • Constant Contact

  • Campaign Monitor

  • AWeber

  • GetResponse

  • HubSpot

  • Sendinblue

  • ConvertKit

  • ActiveCampaign

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Q16. Architecture of networking

Ans.

Architecture of networking refers to the design and structure of a network system.

  • Architecture of networking includes components like routers, switches, servers, and cables.

  • It involves the layout of these components and how they are interconnected to ensure efficient communication.

  • Examples of networking architectures include client-server, peer-to-peer, and cloud-based.

  • Network architecture also includes protocols, security measures, and scalability considerations.

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Q17. create a generator

Ans.

A generator in Python is a function that returns an iterator object.

  • Use the 'yield' keyword to return values one at a time

  • Generators are memory efficient as they do not store all values in memory at once

  • Example: def my_generator(): for i in range(5): yield i

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