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Showing posts with the label Flipkart Business Analyst Interview question asked in 2024 December

DevOps Consultant Interview Questions at MNC

DevOps Consultant Interview Questions and Answers: Insights from  Experience Recently, Someone had the opportunity to interview for a DevOps Consultant role. The session lasted 45 minutes and covered various aspects of my 3-year experience, tools, technologies, and best practices. Here’s how I tackled the questions:  1. Walk me through your profile? I highlighted my journey from the basics of DevOps to working on advanced tools and technologies. I emphasized: My hands-on experience with CI/CD pipelines. Proficiency in tools like Jenkins, Docker, Kubernetes, Terraform, Ansible, and Prometheus. Key projects, challenges faced, and my contributions to optimizing DevOps processes. 2. What are the tools and technologies you have worked on? I listed the tools with context: CI/CD : Jenkins, GitHub Actions. Containerization : Docker, Kubernetes, Helm. Infrastructure as Code (IaC) : Terraform, CloudFormation. Monitoring : Prometheus, Grafana, Loki. Security : SonarQube, Trivy for image...

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Flipkart Business Analyst Interview question and Answer asked in December 2024

Flipkart Business Analyst Interview Experience (1-3 Years) Recently, I appeared for an interview at Flipkart for the position of Business Analyst , and I’m excited to share the questions asked during the process along with how I would approach answering them. The interview covered various domains such as SQL, guesstimates, case studies, managerial scenarios, and Python. Here’s how I would have tackled each question: SQL Questions 1️⃣ What are window functions, and how do they differ from aggregate functions? Can you give a use case? Answer : Window functions perform calculations across a set of table rows related to the current row, without collapsing the result set into a single value like aggregate functions. Example: sql SELECT CustomerID, OrderID, OrderDate, ROW_NUMBER () OVER ( PARTITION BY CustomerID ORDER BY OrderDate DESC ) AS OrderRank FROM Orders; Use case: Finding the latest order per customer without grouping data. 2️⃣ Explain indexing. When could an i...

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