Mphasis Module Lead Interview Questions, Process, and Tips

Q1. Junit testing for rest services
Ans. 
Junit testing for rest services involves testing the functionality and performance of RESTful APIs using Junit framework.
• Write test cases to validate the input and output of REST services

• Use Junit annotations like @Test, @Before, @After for setup and teardown

• Mock external dependencies using frameworks like Mockito for isolated testing

• Verify HTTP status codes, response body, headers in test cases

• Use tools like RestAssur...read more
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Q2. Ans the question
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Find the second highest sal in each department using java 8.

Q1. Java 8, Java Script, jquery
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Q2. Core Java, Spring Boot, Microservice, Angular
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Q3. Oops Concept, Collections ,
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Q4. Spring security,
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Q1. Springboot, Hashmap implementation, Rest Controller
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Q1. String intern, load balancer, simple coding, java 8 stream, functional interfaces
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Q1. Skillset, experience, preferred location
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Q1. Basic introduction
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Q2. SQL questions and projects overview
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Q1. Salary discussion
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Q1. Java 8 basics like steams optional etc
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Q2. SQL, sequence, index
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Q3. Port change in spring boot
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To change the port in Spring Boot, modify the application.properties file or use command line arguments.
• Modify application.properties file with 'server.port=XXXX'

• Use command line argument '--server.port=XXXX'

• Update port in embedded server configuration in code
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Q4. Interconnect between microservices
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Interconnect between microservices involves communication protocols, service discovery, load balancing, and fault tolerance.
• Use communication protocols like HTTP, gRPC, or messaging queues for inter-service communication

• Implement service discovery mechanisms to locate and connect to other microservices dynamically

• Utilize load balancing techniques to distribute incoming requests evenly across multiple instances of a ser...read more
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Q5. Kafka topic and offset and data alive duration in a topic
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Q1. If we have partitions in Databases why we need partition in informatica also??
Ans. 
Partitions in Informatica help in parallel processing and improving performance.
• Partitions in databases and Informatica serve different purposes

• Informatica partitions help in parallel processing of data

• Improves performance by distributing data processing across multiple nodes

• Allows for better resource utilization and faster data processing

• Example: Partitioning in Informatica can be used to process large volumes of data
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