Infosys Interview Questions, Process, and Tips

Q1. Java basics questions
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Q2. Sql basics questions
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Q1. Tell me about yourself
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I am a passionate Java Developer with 5 years of experience in developing web applications and implementing solutions using Java technologies.
• 5 years of experience in Java development

• Strong knowledge of web application development

• Proficient in implementing solutions using Java technologies
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Q2. Why should we hire you
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I have a strong background in Java development with proven experience in delivering high-quality projects on time.
• I have a solid understanding of Java programming language and its best practices

• I have successfully completed multiple Java projects, showcasing my skills and expertise

• I am a quick learner and can adapt to new technologies and frameworks easily
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Q1. Selenium waits Duplicate element in array
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Q2. Frames
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Q1. What is turnstile activity in workflow
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Turnstile activity in workflow refers to the process of allowing only one instance of a workflow to run at a time.
• Turnstile activity ensures that only one instance of a workflow is active at any given time

• It prevents multiple instances of the same workflow from running simultaneously

• This helps in maintaining data integrity and avoiding conflicts in the workflow process
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Q2. How to display top 10 incidents
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To display top 10 incidents, use a query to retrieve incidents sorted by priority and limit the results to 10.
• Use a query to retrieve incidents from the database

• Sort the incidents by priority in descending order

• Limit the results to 10 incidents
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Q1. Write code to display choices based on role
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Display choices based on user role using code
• Create a function to check user's role

• Use conditional statements to display choices based on role

• Assign choices to an array of strings
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Q1. Why do you want to switch
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Q2. What is your strategy and weakness
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Q1. Why Spark is used?
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Spark is used for big data processing due to its speed, scalability, and ease of use.
• Spark is used for processing large volumes of data quickly and efficiently.

• It offers in-memory processing which makes it faster than traditional MapReduce.

• Spark provides a wide range of libraries for diverse tasks like SQL, streaming, machine learning, and graph processing.

• It can run on various platforms like Hadoop, Kubernetes, and st...read more
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Q2. What are RDDs and DataFrames
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RDDs and DataFrames are data structures in Apache Spark for processing and analyzing large datasets.
• RDDs (Resilient Distributed Datasets) are the fundamental data structure of Spark, representing a collection of elements that can be operated on in parallel.

• DataFrames are distributed collections of data organized into named columns, similar to a table in a relational database.

• DataFrames are built on top of RDDs, providi...read more
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Basic Math & Reasoning

Q1. OOPS, Basic Programming, Basic SQL
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