KPMG India Web Developer Interview Questions and Answers

Q1. TESTTT bihbhiue ibhubhe iibhe bibihe
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Q2. TESTTT gygeduedvb bvuvuhvd ibgibhue
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Q1. Technical questions domain specific
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Q2. D365 crm and power apps technical questions jncluding plugins, power automate
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Q1. Scenario based ques on plugins, triggers in PA, workflows, custom actions, azure, power BI
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Q2. Managerial and behavioral questions
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Mathematics question and logical test is conducted

Random current affairs are asked to be discussed

Q1. Related to Dynamics CRM
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Q1. Scenario based and related to customizations in Dynamics 365
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Q1. Scenario based questions and behavioural interview
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Q1. It was a game to create a sustainable ecosystem based on a variates provided and another game to protect plants from invaders (easy)
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Practise very well in advance with sample cases in mock sessions

Practise very well in advance with real cases with your friends

Q1. Friendly conversation with open perspective and consideration for your asks
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Q2. Be ready to discuss your expectations in this round
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It started with the basic introduction and the interviewer gave me a mini case.

Uber wants to launch chopper service in Mumbai, should they do it and if yes, what should be the pricing strategy?

(20 minutes)
I confirmed the case by iterating the case back. I asked some preliminary questions such as if they are the first one to launch such a service, what is the range of their service. I listed the potential market barriers and clarified the operating model (Company owned chopper or leased one).

I asked him about the initial pricing to ascertain if this business would be economically viable and he provided me a figure.

Identifying the expenditure from this transport mode helped me in identifying the earnings of such customers. I concluded that consumers in that earning band would rather prefer having their own chopper and might not want to have an uber service.

A firm with retail store chain (with basically 2 set of products) wanted to increase their forecast accuracy.

(30 minutes)
They initially asked me about the causes of poor accuracy and then they provided me a list of 5 different technology providers for accuracy improvement. They had the initial investment, promised forecast accuracy, yearly charge and some more data. I was asked to recommend the best out of them.

I asked them what is the payback period the client is looking for.

I compared the expected increase in revenue due to the improved forecast and the cost of investment to identify the best solution. The process included some number crunching, so I made sure how I arrive to a particular figure by breaking them into smaller pieces and keeping them informed about each calculation.

This round tested me on my analytical, decision making, and communication skills.

Q1. This round started with my introduction and the interviewee asked me questions from my CV mostly from my work in TSL. He deep dived into many of my CV points to understand about my work. (25 minutes)
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Q1. How are you feeling?
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Q2. Tell me a little about your work at Marico.
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Q3. What did you like the most while working there?
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Q4. What kind of project would you love working on if you get to intern with McKinsey?
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Your client is a financial institution who provides loan services. They plan to extend loan facility for the online market. Consider they plan to tie up with e-commerce platforms like Amazon. How many loans could they expect?
Post reiterating the question statement, clarified the minimum price point that has to be considered for the guesstimate. (3k+)

Checked with the interviewer if focusing on Electronics and Fashion segment would be correct for the guesstimate and then proceeded with this assumption.

Started with daily/monthly visitors on Amazon website & App, followed by an average conversion rate.

Later considered the percentage of people who would buy items from the above mentioned two segments, considered all the available payment options, and then landed on a number for the people who will actually opt for loans provided by our client.

Q1. Tell me about yourself.
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Q2. Why do you want to join McKinsey?
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Q3. Would you regret ranking McKinsey first if you get rejected right now?
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Case 1: You are a consultant to the CEO of Hyundai sitting in March 2020. What would be your priorities/measures/concerns in the next 30 days with the COVID19 lockdown having just been imposed?
[Please note that I stands for Interviewer and C stands for Candidate]

C: (asked scoping questions about the company, its operations, and the situation) I think the way I would approach this is to look at the value chain of Hyundai and see where all one could face issues with the imposition of the lockdown - right from procurement of raw materials to sales and distribution.

I: I like the approach, but you are using a framework here. Let us change up the problem. Your client is a large dairy product manufacturer who is a market leader in India. They want to double their revenues in the next 2 years. Suggest possible avenues available to them.

C: (asked scoping questions about the company, products, competitors, customers, market context and constraints) So here we could look at multiple options. We could expand using our existing business and grow organically. However, given that we are a market leader, we may be unable to meet our growth targets. So, we could look at new products like frozen yoghurt or enter new geographies where we are likely or expect similar success like at home. Alternatively, we could go with the inorganic route and acquire a player in the existing or new markets that we presently operate in. Would you like me to look into any particular idea?

I: These are all good suggestions. Let us do another one - Your client is a large FMCG manufacturer/ company with multiple brands and products under its ambit. It has seen a decline in profitability despite no change in profit per unit or production costs. Why might this have occurred?

C: (broke down profitability mathematically) Could it be because prices and costs are both increasing by the same amount, leading to a decline in percentage terms?

I: Suppose that is not the case.

C: Then it could also be because the product mix has changed.

I: Absolutely. Thanks, Sathya, we can stop solving cases now. Would you regret your decision of ranking McKinsey first if you get rejected right now?

C: I would certainly cry myself to bed tonight, but I would take the same decision if given the choice once again.