PwC Associate Consultant Interview Questions, Process, and Tips

Q1. Total years of experience
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Q2. Major work exposure
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Q1. Explain the assignment done in the last year
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Q2. Give some of the major observations of p2p along with financial impact
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Q3. 5 points to consider while drafting standard of operating procedures
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Basic aptitude , english and reasoning questions.

Q1. Introduction and everything in resume
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Q2. Deep academic Project discussion
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Q1. Explained about salary structure
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Q2. Where do see yourself in upcoming years
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I see myself advancing to a Senior Consultant role within the company, taking on more responsibilities and leading projects.
• Continuing to develop my skills and expertise in the industry

• Building strong relationships with clients and colleagues

• Taking on leadership roles in projects and teams

• Contributing to the growth and success of the company

• Possibly pursuing further education or certifications to enhance my knowledge
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Q1. What is p value
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The p value is a statistical measure that helps determine the significance of results in hypothesis testing.
• The p value is the probability of obtaining results as extreme as the observed results, assuming the null hypothesis is true.

• A p value of less than 0.05 is typically considered statistically significant, indicating that the null hypothesis can be rejected.

• A p value greater than 0.05 suggests that the results are ...read more
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Q2. Explain previous project
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Q1. What is machine learning
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Machine learning is a branch of artificial intelligence that involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data.
• Machine learning involves training algorithms to recognize patterns in data and make predictions or decisions without being explicitly programmed.

• Common machine learning techniques include supervised learning, unsupervised learning, an...read more
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Q2. What is deel learning
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Deep learning is a subset of machine learning that uses neural networks to learn from large amounts of data.
• Utilizes neural networks to learn complex patterns in data

• Requires large amounts of data for training

• Used in various applications such as image and speech recognition

• Examples include convolutional neural networks (CNNs) and recurrent neural networks (RNNs)
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Q1. Why do u want to join pwc
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Mojarity of the questions were asked on java. all questions were multiple choice

Q1. Inheretance in java
Ans. 
Inheritance in Java allows a class to inherit properties and behavior from another class.
• Inheritance is achieved using the 'extends' keyword in Java.

• Subclasses inherit fields and methods from their superclass.

• Java does not support multiple inheritance, but a class can implement multiple interfaces.
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Q2. What is polymorphism in java
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Polymorphism in Java allows objects of different classes to be treated as objects of a common superclass.
• Polymorphism is achieved through method overriding and method overloading.

• Method overriding allows a subclass to provide a specific implementation of a method that is already provided by its superclass.

• Method overloading allows multiple methods with the same name but different parameters to coexist in the same class...read more
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Q1. SAP Document splitting
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Q1. Manegerial round
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