Morningstar Project Automation Engineer Interview Questions and Answers

Basic concepts of programming

Q1. Programming concepts
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Q1. Core java concepts,Sql queries,2 coding question based on arrays and string
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Q2. Reverse the string
Ans. 
Reverse a given string
• Use a loop to iterate through the characters of the string

• Swap the characters from start to end to reverse the string

• Return the reversed string
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Q3. Find third highest salary from a employee table
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Q1. Advance java and project related
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Q2. Springboot and spring diff
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Q3. Springboot annotations used in your project
Ans. 
Some common Springboot annotations used in projects are @RestController, @Autowired, @RequestMapping, @Service, @Component, @Repository.
• @RestController - Used to define RESTful web services.

• @Autowired - Used for automatic dependency injection.

• @RequestMapping - Used to map web requests to specific handler methods.

• @Service - Used to indicate that a class is a service.

• @Component - Used to indicate that a class is a Spring...read more
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Q4. Springboot dependencies
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Q1. I was interviewed for 2yr experience. Normal Core java and basic sql question.
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Q2. Oops concept. Collections. Abstract class and interface. Sql procedures and functions Sql basic query
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Q1. Questions related to the projects worked till date. Explain your project. And counter question on your project.
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Q2. How many projects have you worked on? Explain each in short.
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Q1. In How many ways we can create objects in Java
Ans. 
Objects in Java can be created in multiple ways, including using new keyword, cloning, deserialization, and reflection.
• Using the 'new' keyword

• Cloning an existing object

• Deserialization from a file or network

• Using reflection to create objects dynamically
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Q2. Difference between Interface and Abstract Class
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Interface is a contract that defines the methods a class must implement, while abstract class can have both implemented and abstract methods.
• Interface methods are public and abstract by default, while abstract class can have abstract and non-abstract methods.

• A class can implement multiple interfaces but can only inherit from one abstract class.

• Interfaces are used to achieve multiple inheritance in Java, while abstract ...read more
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Q3. What is Serialization
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Serialization is the process of converting an object into a format that can be easily stored or transmitted.
• Serialization is used to convert complex data structures or objects into a stream of bytes.

• Serialized data can be stored in files, databases, or sent over a network.

• Common serialization formats include JSON, XML, and Protocol Buffers.
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Q1. JAVA, microservices
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Q2. DSA easy to medium questions
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3 coding questions and manager round

Q1. Oops and .net core
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Java Multiple choice questions and 2 coding questions

Q1. Collection in java works
Ans. 
Collection in Java is a framework that provides interfaces and classes to store and manipulate groups of objects.
• Collections can be used to store objects of any type.

• Some common collection types include ArrayList, LinkedList, HashSet, and TreeMap.

• Collections can be sorted, searched, and filtered using various methods.

• Iterators can be used to traverse through collections and perform operations on each element.

• Collection...read more
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Q2. Multithreading environment
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Q3. 2 coding questions and reduce its complexity
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Q1. Spring and cloud platform difference
Ans. 
Spring is a framework for building Java applications, while cloud platform provides infrastructure for deploying and scaling applications.
• Spring provides a set of tools and frameworks for building Java applications, while cloud platform provides infrastructure for deploying and scaling those applications.

• Spring can be used with any cloud platform, while cloud platform can support applications built with any framework.

• S...read more
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Q1. Explain your day to day activities related to spark application
Ans. 
My day to day activities related to Spark application involve writing and optimizing Spark jobs, troubleshooting issues, and collaborating with team members.
• Writing and optimizing Spark jobs to process large volumes of data efficiently

• Troubleshooting issues related to Spark application performance or errors

• Collaborating with team members to design and implement new features or improvements

• Monitoring Spark application p
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Q2. How would you optimize the performance of Data Pipelines
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Optimizing data pipelines involves tuning hardware, optimizing algorithms, and parallelizing processing.
• Use efficient data structures and algorithms to process data quickly

• Parallelize processing to take advantage of multiple cores or nodes

• Optimize hardware resources such as memory and storage for faster data retrieval

• Use caching mechanisms to reduce redundant data processing

• Monitor and analyze pipeline performance to i
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