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Applied AI Consulting AWS Cloud Engineer Interview Questions, Process, and Tips

Updated 6 Jun 2024

Applied AI Consulting AWS Cloud Engineer Interview Experiences

1 interview found

Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Company Website and was interviewed before Jun 2023. There were 2 interview rounds.

Round 1 - Assignment 

End to End Automted Deployment

Round 2 - Technical 

(6 Questions)

  • Q1. What is Cloud Computing ?
  • Ans. 

    Cloud computing is the delivery of computing services over the internet, including servers, storage, databases, networking, software, analytics, and intelligence.

    • On-demand access to a shared pool of configurable computing resources

    • Pay-as-you-go pricing model

    • Scalability and flexibility

    • Examples: AWS, Microsoft Azure, Google Cloud Platform

  • Answered by AI
  • Q2. How to create a CI/CD pipeline ?
  • Ans. 

    To create a CI/CD pipeline, you need to define the steps for continuous integration and continuous deployment.

    • Set up version control system (e.g. Git)

    • Choose a CI/CD tool (e.g. Jenkins, CircleCI)

    • Define build, test, and deployment stages

    • Automate the process with scripts or configuration files

    • Integrate with monitoring and alerting tools for feedback

  • Answered by AI
  • Q3. Steps to create the Kubernetes Cluster from scratch ?
  • Ans. 

    Creating a Kubernetes Cluster involves setting up master and worker nodes, configuring networking, and deploying applications.

    • Set up a master node by installing Kubernetes control plane components like kube-apiserver, kube-controller-manager, kube-scheduler, and etcd.

    • Set up worker nodes by installing kubelet and kube-proxy.

    • Configure networking using a CNI plugin like Calico or Flannel.

    • Deploy applications using kubectl ...

  • Answered by AI
  • Q4. How to integrate Jenkins with Github ?
  • Ans. 

    Integrating Jenkins with Github allows for automated build and deployment processes.

    • Install the Github plugin in Jenkins

    • Create a new Jenkins job and link it to the Github repository

    • Set up webhooks in Github to trigger Jenkins builds

    • Configure Jenkins to pull code from Github and run build scripts

    • Monitor build status and view logs in Jenkins dashboard

  • Answered by AI
  • Q5. Difference between rebase & merge ?
  • Ans. 

    Rebase rewrites the commit history while merge combines the commit history of two branches.

    • Rebase moves the entire feature branch to begin on the tip of the master branch, resulting in a linear project history.

    • Merge creates a new commit that ties together the histories of both branches, preserving the original branch history.

    • Rebase is useful for keeping a clean and linear project history, while merge is better for pres...

  • Answered by AI
  • Q6. Difference between CMD & ENTRY POINT keyword in Dockerfile ?
  • Ans. 

    CMD is used to provide default command to run when container starts, while ENTRYPOINT is used to provide the main command to run when container starts.

    • CMD can be overridden by passing arguments during container run, while ENTRYPOINT cannot be overridden.

    • CMD can be used multiple times in a Dockerfile, with only the last one taking effect, while ENTRYPOINT can only be used once.

    • CMD is often used for providing default par...

  • Answered by AI

Interview Preparation Tips

Topics to prepare for Applied AI Consulting AWS Cloud Engineer interview:
  • Any one Cloud
  • Jenkins
  • Kubernetes
  • Terraform
  • Git
  • Linux
  • Docker
Interview preparation tips for other job seekers - Always keep in mind about the steps to create the resources in Cloud.

Skills evaluated in this interview

AWS Cloud Engineer Jobs at Applied AI Consulting

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Applied AI Consulting Interview FAQs

How many rounds are there in Applied AI Consulting AWS Cloud Engineer interview?
Applied AI Consulting interview process usually has 2 rounds. The most common rounds in the Applied AI Consulting interview process are Assignment and Technical.
How to prepare for Applied AI Consulting AWS Cloud Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at Applied AI Consulting. The most common topics and skills that interviewers at Applied AI Consulting expect are AWS, Automation Testing, CCTV Monitoring, Cloud Computing and Consulting.
What are the top questions asked in Applied AI Consulting AWS Cloud Engineer interview?

Some of the top questions asked at the Applied AI Consulting AWS Cloud Engineer interview -

  1. Difference between CMD & ENTRY POINT keyword in Dockerfil...read more
  2. Steps to create the Kubernetes Cluster from scratc...read more
  3. How to create a CI/CD pipelin...read more

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3.5/5

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4.0

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3.0

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3.5

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2.0

Promotions/Appraisal

3.0

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