Interview Questions

Rajesh P. - "I talked about how I request filtered using data and friendly escalated to keep the program on track. Also, delved deep into the tech stack to identify the areas where we need extra coverage and negotiated resources to handle those areas."See full answer

Parag L. - "I was in my early days of leadership and strategy. In Marriott when a decision was made by C suite to buy products as wrapper over cloud providers I was surprised and based on my limited information and knowledge posted a question to Chief technology officer as why it won't be a good strategy to directly use Native offering from AWS. The reason enlightened me and gave new a new thought process that being such a large enterprise that has presence in 200+ countries across globe we may have challen"See full answer

Trusha M. - "Actually, all experiences in my life have been important so far. I say this with conviction since i consider myself a highly introspective person and often find ways to make myself more efficient. So, retrospection becomes very important for me. Still amongst them, the most valuable experience for me during my entrance exam preparation. I wasn't a good scorer and despite studying for the entire day couldnt score marks. It my self confidence to plummet. In the final days of the exam, i just told"See full answer

E L. - "WITH CTE AS ( SELECT *, ROWNUMBER()OVER(PARTITION BY utxoid ORDER BY transactionid) AS trxrk FROM transactions JOIN transaction_inputs USING (transaction_id) JOIN utxo USING (utxo_id) ) SELECT transaction_id AS InvalidTransactionId FROM CTE WHERE sender!=address OR trx_rk > 1 `"See full answer

Nick S. - "[I'm not sure whether the answer below is the best, as I have not gotten result and feedback from my interview] Ans: I would solve by first using a VAE-style model, to create a latent space embedding that translates user description to generate images. Training would be done on the 1000 avatar images and 100000 descriptions, following this scheme: VAE: description -> encoder -> latent space -> decoder -> image Q: "OK, but that means you're limiting the generated images to be only the 1000 imag"See full answer

Jim T. - "In the end I said number of bookings, but explained how I would get there. I talked about the company's mission first (which I didn't know but guessed it was something about making it easier or more accessible for people to travel) and then talked about a few potential metrics that could fit (bookings, NPS, etc). But in the end I explained that number of bookings is not only tied to their core value proposition, but it also reflected a happy customer base on both sides of the transaction (renter"See full answer

Constantin P. - "Reinforcement Learning is a type of machine learning where an agent learns to make decisions by trying out different actions and receiving rewards or penalties in return. The goal is to learn, over time, which actions yield the highest rewards. There are three core components in RL: The agent — the learner or decision-maker (e.g., an algorithm or robot), The environment — everything the agent interacts with, Actions and rewards — the agent takes actions, and the environmen"See full answer

Meenakshi D. - "BETWEEN and HAVING clauses in SQL serve different purposes: 1. BETWEEN Clause Used to filter rows based on a range of values. Works with numeric, date, or text values. Can be used with WHERE or HAVING clauses. The range includes both lower and upper bounds. Example: Filtering employees with salaries between 30,000 and 50,000 `SELECT * FROM Employees WHERE salary BETWEEN 30000 AND 50000;` 2. HAVING Clause Used to filter **groups"See full answer

Jack F. - "One feature I launched was a construction draw process enhancement for loans ranging from $15MM to $60MM In response to the need for improved efficiency and accuracy in managing construction loan disbursements, I led the development and implementation of a streamlined process within our banking platform. Working closely with stakeholders, including borrowers and internal teams, I gathered requirements and identified pain points in the existing process. Leveraging my expertise in data analysis a"See full answer