KPMG Global Services Interview Questions, Process, and Tips

Q1. What is machine learning?
Ans. 
Machine learning is a branch of artificial intelligence that enables computers to learn and make predictions without being explicitly programmed.
• Machine learning is a subset of AI that uses algorithms to analyze and interpret data.

• It involves training a model on a dataset to make predictions or take actions.

• There are different types of machine learning, including supervised, unsupervised, and reinforcement learning.

• Exa...read more
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Q2. What is natural language processing?
Ans. 
Natural Language Processing (NLP) is a field of AI that focuses on the interaction between computers and human language.
• NLP involves the ability of computers to understand, interpret, and generate human language.

• It encompasses tasks like text classification, sentiment analysis, machine translation, and speech recognition.

• NLP techniques include tokenization, part-of-speech tagging, named entity recognition, and syntacti...read more
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3 sections each around 20 mins

Q1. Talk about yourself
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Q1. Related to position
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General topic was given and the interviewer was checking our communication skills

Consists purely accounting, direct tax and costing knowledge

Q1. Cash flow, financial ratios were asked
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Mainly logical reasoning

Q1. Introduce Yourself
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Q2. What are the golden rules of Accounting
Ans. 
The golden rules of accounting are basic principles that guide the process of recording financial transactions.
• The Golden Rule of Debit and Credit: For every debit entry, there must be an equal credit entry.

• The Golden Rule of Real Accounts: Debit what comes in, credit what goes out.

• The Golden Rule of Personal Accounts: Debit the receiver, credit the giver.

• The Golden Rule of Nominal Accounts: Debit all expenses and loss
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Outbound call
Cutomer reach
Client engagement

Q1. Tell me about the hub and spoke !!
Ans. 
Hub and spoke is a transportation system where a central hub connects to multiple destinations.
• Central hub serves as the main point for connections

• Spokes are the routes connecting the hub to various destinations

• Efficient for managing multiple connections through a central point

• Commonly used in airline and logistics industries
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Shared an assignment to finish

Q1. Asked about my experience and on assignment
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Q1. Mostly discussion
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