JPMorgan Chase & Co. Technology Intern Interview Questions and Answers

Coding, DSA, OOPS, Mathematical Aptitude, Logical Reasoning

Q1. Questions were based out of SQL, Python libraries and Machine learning projects as a part of my resume.
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Q2. Resume based projects
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Q1. Despite being from engineering background, why do you wanted to join a financial industry?
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Q2. Where do you see yourself after 5 years?
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Q1. Equals and hashcode implementation
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Q2. Config server configuration steps
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Config server configuration steps
• Install and set up the config server software

• Configure the server with the necessary properties and settings

• Define the repository for storing configuration files

• Create and manage configuration files

• Ensure proper security measures are in place

• Test and validate the configuration

• Monitor and maintain the config server
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Q3. Patch mapping in spring rest
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Patch mapping in Spring REST is used to partially update resources.
• Patch mapping allows clients to send only the fields that need to be updated instead of sending the entire resource.

• It is useful when updating large resources or when clients have limited bandwidth.

• Spring provides the @PatchMapping annotation to handle patch requests.

• The @PatchMapping annotation can be used with a specific URL or with a wildcard URL pat...read more
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It’s an online assessment with mix of aptitude, bussiness and coding questions coding questions were basic perfect square prime number

Q1. They asked about my project and some coding questions asked me to write basic sql query
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Q1. Asked about my project and deep questions related to projects asked about core subject related questions
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Q1. Unix Command, ITIL
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Q2. SQL query written
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Q3. General question
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Q1. Technical scenario based question
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Q2. ITIL process, previous experience
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Discussing the merits and drawbacks of different workplace initiatives

Q1. Discuss Database Design
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Database design involves creating a structure that efficiently stores and organizes data for easy retrieval and manipulation.
• Identify the data requirements and relationships between different entities

• Normalize the database to reduce redundancy and improve data integrity

• Choose appropriate data types and constraints for each field

• Create indexes to optimize query performance

• Consider scalability and future growth when desi
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Q2. Logical thinking on how to evacuate a retail store and how you would prioritise.
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Q1. SQL concepts related questions
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Q1. Mid level SQL related questions
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