Interview Questions

Teja G. - "To describe designing a complex system architecture, an AI would outline its analytical, iterative, and constraint-driven approach, highlighting principles like microservices, scalability, and security. An AI's process would be based on patterns learned from vast datasets of successful architectural designs, focusing on adaptability for different applications. Here is a breakdown of an AI's approach to designing a complex system, followed by a hypothetical example based on its internal knowledge"See full answer

Teja G. - "separate your application into three distinct layers: a Presentation Tier for the user interface, an Application Tier for business logic, and a Data Tier for data storage. Implement each tier using appropriate technologies, deploy them across different network segments for security, and configure communication protocols to allow for independent management and scaling."See full answer

Teja G. - "To design a scalable ticketing system for peak events like Black Friday, you must employ a microservices architecture, implement robust load balancing, leverage caching, and use a combination of NoSQL and relational databases for different data types. Key features also include real-time seat booking, secure payment integration, mobile compatibility with QR code validation, robust admin dashboards for analytics, and integrated marketing tools like promo codes. The system needs to prioritize avail"See full answer

Teja G. - "Modernizing banking legacy systems and applications The modernization process typically involves moving from mainframe-based legacy platforms to solutions based on cloud and other modern digital technologies"See full answer

Abu H. - "A document processing pipeline means step-by-step handling of documents. First we upload the file, then system checks and cleans it. After that OCR or NLP is used to take out text. The text is classified and important details are picked, then saved in database for use. This type of pipeline is useful because it saves time and reduces manual work. Instead of people reading and typing data, the system can automatically process large numbers of documents quickly. It also improves accuracy, keeps d"See full answer

Dania L. - "Was this asked as a part of the mini case?"See full answer

Tracy M. - "I defaulted to a dictionary-style definition of autonomy, then loosely tied it to users and systems. But I missed the interviewer’s signal that this was really a design/strategy probe. Stopping at a generic level made it sound like I couldn’t translate agency into what matters for product — user trust, trade-offs, risk, and roadmap implications."See full answer

Shoaib H. - "Clarifyig questons Why do we want to re-design the feature? are there any existing problem with the existing DM feature? -- you figure out Do we have any particular goal in mind which we want to achieve? related to Engagement, Session time etc? -- Think yourself When we say DMs, this includes P2P, Message to business, Message to an open account or you have something else in mind? -- Think yourself With that bieng said lets first understand what are the core use cases of the DM as a feature P"See full answer

Manaswini D. - "Something not mentioned in my resume is my hobbies. I have a strong interest in analyzing situations, which I enjoy as a mental exercise. I'm also skilled at painting and have a passion for reading books, which helps me broaden my perspective."See full answer

Babaa - "Function signature for reference: def calculate(servers: List[int], k: int) -> int: ... To resolve this, you can use binary search considering left=0 and right=max(servers) * k so Example: servers=[1,4,5] First server handle 1 request in let's say 1 second, second 4 seconds and last 5 seconds. k=10 So I want to know the minimal time to process 10 requests Get the mid for timeline mid = (left+right)//2 -> mid is 25 Check how many we could process 25//1 = 25 25//4=6 25//5=5 so 25 + 6 +"See full answer

Anuradha T. - "average time spent attending event, number of sign up for the event, attendees/signups"See full answer

Hyder A. - "Control plane has few component, it's like the brain of the cluster, the data plane is the work horse, CP has etcd, api-server, DP has kublet and kube-proxy"See full answer

Megha S. - "tried my best"See full answer

Raoul S. - "Total number of successful conversations (Weekly). Success measured by sharing AI output or success indicators (e.g. Like)"See full answer

Anonymous Hummingbird - "I started going through the different main area of focus stakeholder alignment with Product and engineering; resource alignment getting it into the backlog and then prioritization spoke about Sprint planning and timelines and timely communication back to stakeholders to be on track for this end to end demo / pilot options (but HM already wasn't too happy about the response and asked me the Question again)"See full answer