Deloitte Interview Questions, Process, and Tips

I am a data analyst with a background in statistics and experience in analyzing large datasets.

• Background in statistics

• Experience in analyzing large datasets

• Proficient in data visualization tools like Tableau

• Strong problem-solving skills

• Excellent communication skills

I would rate myself a 4 out of 5 in SQL proficiency.

• Proficient in writing complex SQL queries

• Experienced in optimizing database performance

• Familiar with data manipulation and analysis functions

• Comfortable working with large datasets

I use Power BI to analyze and visualize data for insights and decision-making in my work.

• Connect to data sources to import data

• Transform and clean data using Power Query Editor

• Create relationships between different data tables

• Design interactive reports and dashboards

• Use DAX formulas for calculations and measures

• Share reports with stakeholders and collaborate on insights

I have 2 years of experience working with Docker in various projects.

• 2 years of experience working with Docker in various projects

• Proficient in creating Docker containers, managing images, and orchestrating containers using Docker Compose

• Familiar with Docker Swarm and Kubernetes for container orchestration

• Experience in troubleshooting Docker-related issues and optimizing container performance

Yes, I have experience in Kubernetes.

• I have worked on deploying and managing applications on Kubernetes clusters.

• I am familiar with creating and managing Kubernetes resources such as pods, deployments, services, and ingresses.

• I have experience in using tools like kubectl and Helm for interacting with Kubernetes clusters.

• I have implemented CI/CD pipelines using Kubernetes for automated deployment and scaling of applicat

OOP stands for Object-Oriented Programming, a programming paradigm based on the concept of objects.

• OOP focuses on creating objects that contain data and methods to manipulate that data.

• Encapsulation, inheritance, and polymorphism are key principles of OOP.

• Examples of OOP languages include Java, C++, and Python.

Polymorphism in Java refers to the ability of a method to do different things based on the object it is acting upon.

• Types of polymorphism in Java include method overloading and method overriding.

• Method overloading is when multiple methods have the same name but different parameters.

• Method overriding is when a subclass provides a specific implementation of a method that is already defined in its superclass.

Threads in Java allow multiple tasks to run concurrently within a single program.

• Threads are lightweight sub-processes that share the same memory space.

• They are used to improve performance by allowing tasks to run simultaneously.

• Examples include creating a new thread using the Thread class or implementing the Runnable interface.

Spring profile is a way to segregate parts of your application configuration and make it only available in certain environments.

• Spring profiles allow you to define different configurations for different environments such as development, testing, and production.

• You can use @Profile annotation to specify which beans should be loaded based on the active profile.

• Profiles can be activated in various ways such as through app...read more

Annotations used in Spring Security to apply authorization rules before and after a method is called.

• Used in Spring Security to define authorization rules

• @PreAuthorize is used to apply authorization rules before a method is called

• @PostAuthorize is used to apply authorization rules after a method is called

• Both annotations support SpEL expressions for defining rules