PwC Interview Questions, Process, and Tips

Q1. Introduce yourself
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I am a software engineer with 5 years of experience in developing web applications using Java, Spring Boot, and Angular.
• 5 years of experience in software development

• Proficient in Java, Spring Boot, and Angular

• Strong problem-solving skills

• Experience working in Agile development environment
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Q2. How to reverse a sentence using stream api
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Use Stream API to reverse a sentence
• Split the sentence into words using split() method

• Convert the array of words into a Stream using Arrays.stream()

• Use Stream API operations like map(), collect() and joining() to reverse the sentence
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Q1. Why did you leave your previous job?
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Q2. Tell me about any challenge that you faced in your previous job and how you overcame it.
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Q1. What is difference between smoke and sanity testing?
Ans. 
Smoke testing is a quick test to check if the software build is stable, while sanity testing is a more thorough test to check specific functionalities.
• Smoke testing is done to ensure the critical functionalities of the software are working fine after a build, while sanity testing is done to verify specific features or functionalities.

• Smoke testing is usually performed before detailed testing, while sanity testing is pe...read more
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Q2. What is Test Plan?
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Test Plan is a document that outlines the scope, approach, resources, and schedule of testing activities.
• Defines the objectives and scope of testing

• Outlines the test strategy and approach

• Includes test deliverables, resources, and schedule

• Identifies risks and mitigation strategies

• Provides a roadmap for the testing process
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Q1. What is Defect Life Cycle?
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Defect Life Cycle is the process of identifying, reporting, fixing, retesting, and closing defects in software development.
• Defect identification: Defects are identified through testing or user feedback.

• Defect reporting: Defects are reported in a defect tracking system with details like severity, priority, and steps to reproduce.

• Defect fixing: Developers analyze and fix the reported defects.

• Defect retesting: Testers ver...read more
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Q2. What is Software Development Life Cycle?
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Software Development Life Cycle (SDLC) is a process used by software development teams to design, develop, test, and deploy high-quality software.
• SDLC consists of several phases such as planning, analysis, design, implementation, testing, and maintenance.

• Each phase has its own set of activities and deliverables to ensure the software meets quality standards.

• Examples of SDLC models include Waterfall, Agile, and DevOps.

• S...read more
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Q1. Options and their pricing models
Ans. 
Options are financial instruments that give the holder the right, but not the obligation, to buy or sell an underlying asset at a specified price within a specific time period.
• Options can be classified into two types: call options and put options.

• The pricing models for options include the Black-Scholes model and the binomial options pricing model.

• The Black-Scholes model takes into account factors such as the current st...read more
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Q2. Why PE and CE used in option naming
Ans. 
PE and CE are used in option naming to indicate the type of option contract - Put Option and Call Option.
• PE stands for Put Option which gives the holder the right to sell the underlying asset at a specified price within a specified time period.

• CE stands for Call Option which gives the holder the right to buy the underlying asset at a specified price within a specified time period.

• Using PE and CE helps differentiate bet...read more
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Q1. Random forest vs decision tree
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Random forest is an ensemble method using multiple decision trees to improve accuracy and reduce overfitting.
• Random forest is a collection of decision trees that are trained on random subsets of the data.

• Decision tree is a single tree structure that makes decisions by splitting the data based on features.

• Random forest is more robust to overfitting compared to a single decision tree.

• Random forest can handle missing valu...read more
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Q2. Assumptions of linear regression
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Assumptions of linear regression include linearity, independence, homoscedasticity, and normality.
• Linearity: The relationship between the independent and dependent variables is linear.

• Independence: The residuals are independent of each other.

• Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Normality: The residuals are normally distributed.

• Example: If we are pred...read more
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Q1. Basic Hygiene questions
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Q1. More on techquestions
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Q2. About cv
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Q1. WHY DO YOU WANT TO JOIN THIS COMPANY
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