JPMorgan Chase & Co. Software Engineer Interview Questions, Process, and Tips

DSA topics were asked

Q1. If you had to explain a difficult topic to someone how would you explain it?
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Q2. Describe a situation when you had to explain something to someone who was not understanding a concept related to a topic. Explain how you overcame the issue .
Ans. 
I explained a complex algorithm to a non-technical team member.
• Broke down the concept into simpler terms

• Used analogies or real-life examples to clarify

• Encouraged questions and feedback

• Offered additional resources for further understanding
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Q1. What is Kubernetes
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Kubernetes is an open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.
• Kubernetes helps in automating the deployment, scaling, and management of containerized applications.

• It allows for easy scaling of applications by adding or removing containers based on demand.

• Kubernetes provides features like load balancing, self-healing, and rolling updates fo...read more
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Q2. Jenkins Security
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Q1. Kubernetes architecture and its components
Ans. 
Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
• Kubernetes architecture consists of a master node and multiple worker nodes.

• Master node components include API server, scheduler, controller manager, and etcd.

• Worker node components include kubelet, kube-proxy, and container runtime (e.g. Docker).

• Kubernetes uses Pods as the ...read more
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Q1. All DSA and OOPs questions
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Q1. Same as round 1
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Q1. Design round ..
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Q1. Basic hr questions
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Cognitive test basically testing aptitude

Test TO show my coding skills on Dsa and Dbms

Q1. WHat IS circular linked list
Ans. 
A circular linked list is a linked list where the last node points back to the first node, forming a circle.
• Each node has a reference to the next node in the list.

• The last node's reference points back to the first node.

• Traversal can start from any node and loop through the entire list.
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Q2. What is time omplexity . explain with examples
Ans. 
Time complexity refers to the amount of time an algorithm takes to run as a function of the input size.
• Time complexity is typically expressed using Big O notation, which describes the worst-case scenario.

• Common time complexities include O(1) for constant time, O(log n) for logarithmic time, O(n) for linear time, O(n^2) for quadratic time, and O(2^n) for exponential time.

• For example, searching for an element in a sorted...read more
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