Deloitte Interview Questions, Process, and Tips

Q1. Design Principles
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Q1. Two people interviewed me
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Q2. Technis questions for the job
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Q1. What is back propagation
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Back propagation is a technique used in neural networks to update the weights of the network by calculating the gradient of the loss function.
• Back propagation involves calculating the gradient of the loss function with respect to each weight in the network.

• The calculated gradients are then used to update the weights in the network in order to minimize the loss function.

• This process is repeated iteratively until the net...read more
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Q2. Activation functions
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Q3. Diff between rnn and ann
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RNN is a type of neural network that has connections feeding back into itself, allowing it to retain information over time. ANN does not have this capability.
• RNN has loops that allow information to persist, while ANN does not

• RNN is used for sequential data like time series or text, while ANN is used for static data

• RNN can handle variable input lengths, while ANN requires fixed input sizes
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Q1. About the interface you have worked
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Q2. Gap identified during implementation
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During implementation, a gap was identified in the integration between SAP SD and SAP MM modules.
• The gap was related to the transfer of material master data from SAP MM to SAP SD.

• This resulted in incorrect pricing and availability information for sales orders.

• The gap was resolved by implementing a custom data transfer program between the two modules.
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