Infibeam Avenues Interview Questions, Process, and Tips

Q1. What do you mean by payment aggregator?
Ans. 
A payment aggregator is a service provider that allows merchants to accept payments through multiple payment methods.
• Payment aggregators consolidate payments from various sources and process them on behalf of merchants.

• They provide a single point of access for merchants to accept payments from different channels such as credit cards, digital wallets, and bank transfers.

• Examples of payment aggregators include PayPal, St...read more
Answered by AI
Add your answer
Q2. What is a payment Gateway?
Ans. 
A payment gateway is a technology used to securely process online payments from customers to merchants.
• It acts as a middleman between the customer's bank and the merchant's bank

• It encrypts sensitive information to ensure secure transactions

• Popular examples include PayPal, Stripe, and Square
Answered by AI
Add your answer
Q3. Explain payment flow ?
Ans. 
Payment flow refers to the process of how payments are initiated, authorized, processed, and settled between parties.
• Payment is initiated by the payer through a payment method such as credit card, bank transfer, or digital wallet.

• The payment request is then authorized by the payer's financial institution or payment processor.

• The payment information is processed by the payment gateway or processor to transfer funds from...read more
Answered by AI
Add your answer
Q4. Tell me about yourself?
Add your answer
Q5. How many payments mode you know ?
Ans. 
I am familiar with various payment modes including cash, credit/debit cards, online transfers, and mobile wallets.
• Cash

• Credit/Debit Cards

• Online Transfers

• Mobile Wallets
Answered by AI
Add your answer

They have asked me a question on binary tree and they tweaked the question to understand whether can I can think in other ways

Q1. Machine Learning in depth questions on transformer architecture
Add your answer
Q2. Explain encoder and decoder
Ans. 
Encoder and decoder are components of an autoencoder used in machine learning for data compression and reconstruction.
• Encoder takes input data and compresses it into a latent space representation

• Decoder takes the compressed representation and reconstructs the original input data

• Autoencoders use encoder-decoder architecture for tasks like image denoising, anomaly detection, and dimensionality reduction
Answered by AI
Add your answer
Q3. Write the formulation for self-attention
Ans. 
Self-attention is a mechanism in deep learning models that allows each word in a sequence to focus on other words in the same sequence.
• Self-attention calculates attention scores by comparing each word's embeddings with every other word's embeddings.

• These attention scores are then used to compute a weighted sum of the embeddings, which forms the output of the self-attention layer.

• The formulation for self-attention invol...read more
Answered by AI
Add your answer

Q1. Machine Learning breadth wise question
Add your answer

Q1. Information regarding qualification and work experience
Add your answer

Was an east test and basic mathematics with problem solving

Simple algorithms were asked and OOPS concept needed to be clear.

Q1. Tell me about yourseld
Add your answer