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Eloelo
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I applied via Naukri.com and was interviewed before Aug 2021. There were 2 interview rounds.
I was attended for technical f2f round for Android app developer, they asked to develop sample app with large json parsing in grid view. It's good and nice.
I applied via Referral and was interviewed in Sep 2023. There was 1 interview round.
Merge two sorted linked lists into a single sorted linked list
Create a new linked list to store the merged result
Iterate through both input linked lists and compare nodes to determine the order in which they should be merged
Update the next pointers of the nodes in the new linked list accordingly
I applied via Referral and was interviewed before Oct 2022. There were 3 interview rounds.
50 questions in 12mins
I applied via Company Website and was interviewed in Dec 2021. There were 4 interview rounds.
Code to find frequency of characters in a given string
Use a hash table to store character frequencies
Iterate through the string and update the hash table accordingly
Print the hash table to display the character frequencies
Code to reverse a linked list
Create three pointers: prev, curr, and next
Initialize prev to null and curr to head
Loop through the list and set next to curr's next node
Set curr's next node to prev
Move prev and curr one node ahead
Return prev as the new head
Code to reverse linked list in size of K
Create a function that takes head of linked list and size K as input
Traverse the linked list in groups of K nodes
Reverse each group of K nodes using iterative or recursive approach
Connect the reversed groups to form the final linked list
Return the new head of the reversed linked list
posted on 24 Jun 2023
Given an simple gaming questions to be developed in JS
Given another UI design in image to be developed
Logical questions MCQ on ansible terraform python and basic programming around 19 questions
I appeared for an interview in Jan 2025.
Kubernetes core components include Pods, Nodes, Services, Deployments, and ConfigMaps.
Pods: Smallest deployable units in Kubernetes, can contain one or more containers.
Nodes: Individual machines in a Kubernetes cluster where Pods are deployed.
Services: Abstraction that defines a logical set of Pods and a policy by which to access them.
Deployments: Manages the deployment and scaling of a set of Pods.
ConfigMaps: Decouple...
Scaling applications in Kubernetes involves horizontal scaling, using tools like HPA and cluster autoscaler.
Use Horizontal Pod Autoscaler (HPA) to automatically adjust the number of pods based on CPU or memory usage.
Implement Cluster Autoscaler to dynamically adjust the size of the Kubernetes cluster based on resource demands.
Utilize Kubernetes StatefulSets for stateful applications that require scaling with stable net...
HPA is Horizontal Pod Autoscaler for scaling pods based on CPU utilization, while VPA is Vertical Pod Autoscaler for adjusting resource requests based on resource usage.
HPA scales the number of pods in a deployment based on CPU utilization, ensuring optimal performance and resource utilization.
VPA adjusts the resource requests of pods based on resource usage, allowing for efficient resource allocation within a cluster.
...
In case the master goes down in a Kubernetes cluster, the deployed workload continues to run as the worker nodes are still operational.
The worker nodes in the Kubernetes cluster continue to operate and manage the deployed workload even if the master node goes down.
The worker nodes are responsible for running the containers and maintaining the desired state of the cluster.
The master node being down may affect the abilit...
Individual components of a Kubernetes cluster have different functionalities such as scheduling, networking, storage, and monitoring.
Kubelet: Responsible for communication between the master node and worker nodes, managing containers on the node.
Kube-proxy: Manages network routing for services within the cluster.
Kube-controller-manager: Ensures that the desired state of the cluster matches the actual state.
Etcd: Key-va...
Kubernetes Custom Resource Definitions (CRDs) allow users to define custom resources in Kubernetes.
CRDs extend the Kubernetes API to create custom resources and controllers.
They enable users to define their own resource types and manage them using Kubernetes tools.
CRDs are used to extend the functionality of Kubernetes without modifying the core codebase.
Examples of CRDs include custom resource types like Deployments, ...
Kubernetes Custom Resource Definitions (CRDs) allow users to define custom resources in Kubernetes.
CRDs extend the Kubernetes API to create custom resources and controllers.
They enable users to define their own resource types and manage them using Kubernetes tools.
CRDs are used to extend the functionality of Kubernetes without modifying the core codebase.
Examples of CRDs include custom resource types like databases, qu
AWS ALB is a load balancer service that distributes incoming traffic across multiple targets, such as EC2 instances, based on routing rules.
ALB operates at the application layer (Layer 7) of the OSI model
Supports path-based routing, host-based routing, and routing based on HTTP headers
Provides SSL termination, content-based routing, and health checks for targets
Can handle WebSocket traffic and integrate with AWS WAF fo
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