PrimeXBT Interview Questions and Answers

Q1. Why does Paytm company commit fraud with its agents and why does it not pay the salary of its agents on time? While working in Paytm, why is the salary held and why is the money not given?
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Q2. Why is Paytm merchant not heard? Why is customer care number not reachable?
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Q3. Talking about salary of 18000, why only ₹10000 is given in Paytm. Why is salary held?
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Q4. When will I get my salary? The salary was promised on the 30th but did not come. The salary was promised on the 5th but did not come. Today is the 9th. When will my salary come? Why has my salary been put ...read more
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Q5. How can the team leaders and HR at Paytm be so careless? Why is no one's salary being paid? Why is their salary being withheld?
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Q1. In first round, the company will provide you a test link from a third party (perspectAI) to gauge your communication and understanding skills. This included sections like comprehension, listening, writing,...read more
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Q1. Introduce yourself
Ans. 
I am a customer experience specialist with a background in stock broking. I am passionate about providing excellent service and building strong relationships with clients.
• I have X years of experience in the stock broking industry

• I have a proven track record of delivering exceptional customer service

• I am skilled in building and maintaining client relationships

• I am knowledgeable about the stock market and investment prod...read more
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Q2. Asked about my summer and winter internship work
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Q3. Asked questions relating to my resume
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Q4. Asked situation based questions on customer support and resolving customer issues
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Q5. Basics questions regarding stock exchange
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Q6. Asked about any event in my life where in was working in a team or lead a team
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Q7. Why choose or applied for this job role
Ans. 
I have a passion for finance and helping clients achieve their financial goals.
• I have a strong background in finance and stock broking

• I enjoy working with clients and helping them navigate the stock market

• I am excited about the opportunity to use my skills to enhance customer experience in the stock broking industry
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Q1. Introduce yourself
Ans. 
I am a customer experience specialist with a background in stock broking. I have a passion for helping clients navigate the financial markets.
• I have X years of experience in the stock broking industry, specializing in customer service and relationship management.

• I am skilled in providing personalized investment advice and recommendations to clients based on their financial goals and risk tolerance.

• I have a strong under...read more
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Q2. What made you apply for this job role
Ans. 
I applied for this job role because of my passion for finance and helping clients achieve their financial goals.
• Passion for finance and stock market

• Desire to help clients achieve financial goals

• Interest in providing excellent customer service
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Q3. Why should we hire a fresher for this position
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Q4. Situation based question:- If a user of Share.market app uses stop loss option and it didn't worked due to some glitch which caused him/her some financial loss then how would you handle it?
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Q5. Asked about job description
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Q1. Knn algorithm using python
Ans. 
KNN algorithm is a simple and effective machine learning algorithm for classification and regression tasks.
• KNN stands for K-Nearest Neighbors.

• It is a non-parametric, lazy learning algorithm.

• Works by finding the K closest training examples in feature space to a given input data point.

• Classification: Assign the most common class among the K nearest neighbors.

• Regression: Take the average of the K nearest neighbors' target...read more
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Q2. Some LC problem on suffix and prefix
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Q1. Case study on imbalanced dataset
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Q2. Evaluation metrics
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Q1. Work regarding your job profile
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Q2. Linux related questions
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The first round was a coding test, which was outsourced to an external vendor. I was asked 2 basic DSA questions, and there was discussions around the time and space complexity, and scope of optimizing the solutions. Post that there were a few questions around Spring Boot features and basic system design. The interviewer was professional throughout the interview, and the interview process felt more like a discussion, as compared to the standard interview process.

There was another round of coding - this time conducted by the organization itself. It consisted of a medium level DSA question on stacks. I wrote the code on my personal IDE and executed it there itself. The interviewer discussed about the possible edge cases and how I would deal with them. Post solving the question I was asked about my previous projects.

Q1. Discuss in detail about a scenario where a challenging production issue was handled.
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Q2. What are your responsibilities as a senior / team lead in the current organization?
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Q3. How did you handle conflicts with junior engineers and reporting managers?
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This was the final round where the discussion was largely around system design and HLD. It started off with questions are system design patterns and concepts. Then I was asked to design a booking design, with discussions around concurrency control and transaction management.

Q1. Hadoop architecture
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Q2. Spark architecture
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Q3. Difference between stage and task
Ans. 
A stage is a collection of tasks that perform a specific computation, while a task is a unit of work that is executed on a single executor.
• Stage is a higher-level unit of work that can be broken down into multiple tasks.

• Tasks are individual units of work that are executed on a single executor.

• Stages are used to organize and coordinate tasks in a Spark job.

• Tasks are the actual units of computation that are performed by ...read more
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Q4. Sql questions to solve
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Q5. Scoop
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Q6. Action and transformation in pysaprk
Ans. 
Actions and transformations are two types of operations in PySpark. Actions return a value to the driver program, while transformations create a new RDD.
• Actions are operations that trigger the execution of the Spark job, such as collect(), count(), and saveAsTextFile().

• Transformations are operations that create a new RDD from an existing one, such as map(), filter(), and reduceByKey().

• Actions are lazy operations, meani...read more
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Q7. Difference between rdd and dataframe
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RDD is a distributed collection of objects, while DataFrame is a distributed collection of data organized into named columns.
• RDD is more low-level and requires manual schema definition, while DataFrame provides a higher-level API with schema inference.

• DataFrames are optimized for processing structured data, while RDDs are more suitable for unstructured data.

• DataFrames support SQL queries and optimizations through Catal...read more
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3 dsa questions medium level

Q1. 2 medium level dp questions based on string and stocks
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Q2. One hard question based on graph
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Q1. Hr questions and java , springboot questions etc
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Asked to write a bank application - which includes adding,removing,transferring of money

Q1. How will you prioritize testing ?
Ans. 
I prioritize testing based on criticality, impact, dependencies, and risks involved.
• Identify critical functionalities and prioritize testing for them first

• Consider impact on end users and prioritize testing for high impact areas

• Take into account dependencies between different modules or components

• Assess risks involved and prioritize testing for high-risk areas

• Use risk-based testing approach to prioritize test cases
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Q2. Test cases for Landline
Ans. 
Test cases for Landline phone functionality
• Test dialing a number and making a call

• Test receiving a call and answering it

• Test call waiting functionality

• Test call forwarding feature

• Test voicemail functionality
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Q1. SQL question on joins and subqueries?
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Q2. Earlier project questions ?
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