diff --git a/1_COMPANYWISE_REAL_INTERVIEW_QA/86.Nationwide_20_AUG_2026.md b/1_COMPANYWISE_REAL_INTERVIEW_QA/86.Nationwide_20_AUG_2026.md new file mode 100644 index 0000000..2ddb841 --- /dev/null +++ b/1_COMPANYWISE_REAL_INTERVIEW_QA/86.Nationwide_20_AUG_2026.md @@ -0,0 +1,39 @@ +### Why don't you tell me a little bit about yourself? You're a little bit of your experience. + +### Which organization are you currently working for? + +### And this has been your first company? + +### can you tell me, when did you start, how much, how many years you spent in the first company and what was your second company? Check that chronicle order. + +### I hope this is not like a trend right? After two years you start searching for a new job? + +### Why are you looking for a change now? + +### Have you heard about Nationwide? + +### Have you done any research? What does the company do? + +### Have they informed you about how does the routine work, how many days you have to be in office and things like that? + +### Have they informed you how we have been operating like weekly, twice you have to be in office and things like that? + +### Typically you're based out of Hyderabad or you prefer to work from your hometown? + +### And you're comfortable to come back to Hyderabad? + +### Any other concerns, questions you had? + +### What is your notice period? + +### What is your due date? + +### What is your current CTC Naveen? + +### What is the offer you have got from Hartford? + +### What are you looking for? + +### What are the few things which will make you decide for sure that where do I want to join? + +### Do you have any questions for me? diff --git a/1_COMPANYWISE_REAL_INTERVIEW_QA/87.Wipro_10_09_2026.md b/1_COMPANYWISE_REAL_INTERVIEW_QA/87.Wipro_10_09_2026.md new file mode 100644 index 0000000..d2b1ec4 --- /dev/null +++ b/1_COMPANYWISE_REAL_INTERVIEW_QA/87.Wipro_10_09_2026.md @@ -0,0 +1,23 @@ +### Why don't you tell me a little bit about yourself? You're a little bit of your experience. + +### So we are we are running a global weather API. So basically we're running a running a service which expose one global weather API that is being used by thousands of different applications. Okay, now the API is being served from different multiple cloud regions or different geographical location using a DNS based global traffic manager, OK, which routes the user request to the nearest healthy region right now. Recently had an incident in a particular region where a regional failure caused users in that area to experience API timeouts for several minutes before traffic shifted to a healthy region. So the users from that area, I mean, they experienced API timeouts for quite a bit of time, right? I mean, for several minutes actually. Now, what design issues may have contributed to this delay, what improvements could we make to ensure faster failover in the future? + +### You said that like the client may cast the DNS responses, right. How are you going to rectify that? + +### So your security team has discovered that several Kubernetes work workloads are making unauthorized API calls. So let's say you have an you have a coordinates cluster. There are multiple parts running in that cluster. So from some of the pods, okay, I mean from from some of the ports we're getting an information that API calls are being made to some external unauthorized services, OK, Now the platform team has asked you to design and implement guard this guardrails to ensure that only approved services can be accessed outside of the cluster. So they're they're trying to make sure that no unauthorized services can be called from within the cluster, OK And all the external traffic should be logged for auditing purpose. Now what changes should you recommend to control and monitor outbound traffic from the cluster? + +### So let's talk about that part, right. So you mostly talked about the controlling part. How are you going to monitor the outbound traffic? + +### So your company has, I mean your company runs a background job processing system that runs on some virtual machines. So you have multiple virtual machines right now. The worker processes finance and transactions from a queue. OK, now currently we have a new version of the worker is getting released, then existing instances are being updated in place using remote scripts. And during this update right some of the instances may fail. Through the update now over time because some of the instances are failing in the previous. You know, update updation, right? So instances may run slightly different library versions and OS patches over time. If you want to roll back then it required manually reinstalling the previous version. So you are asked to redesign this whole deployment model to eliminate version inconsistency and reduce operational risk. How do you redesign this whole system using immutable infrastructure principles? While ensuring safe rollout and rollback plan. + +### So your team has developed a new pricing engine microservice that calculates product discounts in real time. So let's say you are hosting e-commerce website, right? And one macro service in your back end, right, that is trying to calculate the price of a particular product in real time. OK, there is some logic place for that. Now if the logic is incorrect, it could result in incorrect pricing, right? On on the website other. I mean either it could overcharge the customer. Or giving it can give unintended discount, OK, so that I mean that piece of code which is calculating the price that's pretty critical, OK, now you are tasked with deploying that new service version to production with minimal risk. How would you manage the rollout so that you can ensure that if any mistake happens, right, that that should be caught quickly? And how would you monitor that the deployment is safe? + +### How you are gonna plan your deployment in such a way that like if there is some issue it could be traced quickly? + +### How about this part, right? How would you monitor that the deployment is safe? + +### So you have received a report that the customers of your Tomorrow's website, right? They're experiencing long delays when placing orders in your platform. OK, so once they are checking out at that time it is taking some some time actually now the checkout process is composed of multiple microservices in our back end that is deployed in Kubernetes and are connected to the service something like Istio. OK, now you have you have access to the metrics, the logs and the distributed traces. Describe how would you identify which part of the whole system is responsible for the latency because there are multiple microservices. So how would you pinpoint the actual calculated system here? + +### We can use like distributed support. How are you going to get it from the traces? + +### So we are working at a weather reporting company. We have some comma separated value data containing rainfall in various cities. OK, so the data in this CSV file would be given in this format. You can take a look at line number 11 where the first element would be the date. OK, second element would be the city name, third element would be the amount offering for that day in millimeter. OK, that's the rainfall amount. So that's the structure of the data for each line in that CSV file. The CSV file is present inside this URL, I mean in this particular public URL path. So you have to basically fetch this data from this URL, process the data and you have to find the cities where it rains the least frequently. OK, now you have to basically write a script online to read the log file or distribute the content of the log file and print out the collection of N cities which appear in the log file the least amount of time. OK and you have to also you know show how many times it rained over there so for example, to make it simple like given this log file right where you have this data in this format right you have to identify Top N cities which is appearing in this given log file the least number of time. Alright, and also you have to you have to show how many times it is appeared. Alright, so that's pretty much the question is now you can take your time to think about it. Let me start the timer, which is about 30 minutes and I can get started. diff --git a/1_COMPANYWISE_REAL_INTERVIEW_QA/88.SEP_10_2026.md b/1_COMPANYWISE_REAL_INTERVIEW_QA/88.SEP_10_2026.md new file mode 100644 index 0000000..763b3f1 --- /dev/null +++ b/1_COMPANYWISE_REAL_INTERVIEW_QA/88.SEP_10_2026.md @@ -0,0 +1,43 @@ +# DevOps Interview Questions + +### Can you introduce yourself, please? + +### You have had one experience with on premise cloud as well? + +### Can you explain about the new clinical claim process? + +### What is the difference between Jenkins and the other directions? + +### Can you run the Ansible playbook using inventory? + +### If you're triggering that link, it is automatically running parallelly in all 5 environments. OK, OK, you need to implement to run one by one, only seconds, little second like that. Can you manage that? + +### How can you upgrade the tressler upgrade without 0 impact with the applications and the users? + +### What is the difference between stateful sets and daemonsets? + +### Can you explain the structure of the workflow? + +### I'm asking about the what are the contradicts of the workload? What it? What are the like? + +### For example, you have a script in the little paper or little whatever, it should be executed in script in the AWS EC2 instances without providing the private key or complex. How can you design that? + +### Are you able to write any inquiry in Prometheus? + +### Can you explain there is a graph on a dashboard. How it is getting the dashboard information? + +### Now for example you have the monitoring CPU servers. How will you monitor that service? + +### What is the default port Grafana Prometheus here? + +### Can you write a short script? + +### Which process is consuming more CPU? + +### Can you write a complete script of your? + +### A sample workflow for GitHub Action? + +### What are the permissions contents particular? + +### What you mentioned publishes contains data, what it will do?