Infor Global Solution Devops Engineer Interview Questions, Process, and Tips

Coding skills in python

Q1. Whre do yo use python
Ans. 
Python is used in various areas such as web development, data analysis, automation, machine learning, and more.
• Web development (Django, Flask)

• Data analysis (Pandas, NumPy)

• Automation (Scripting, DevOps tools)

• Machine learning (TensorFlow, PyTorch)
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Q2. What are all important Devops tools
Ans. 
Some important DevOps tools include Jenkins, Docker, Ansible, Kubernetes, and Git.
• Jenkins

• Docker

• Ansible

• Kubernetes

• Git
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Q1. Are you willing to work in shifts
Ans. 
Yes, I am willing to work in shifts.
• I am flexible with my working hours and can adapt to different shifts.

• I understand the importance of round-the-clock support in a DevOps role.

• I have previous experience working in shifts and have no issues with it.
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Q2. What are your sal expectation
Ans. 
My salary expectation is based on my experience, skills, and the market rate for DevOps Engineers.
• I have researched the average salary range for DevOps Engineers in this location.

• I am looking for a competitive salary that reflects my expertise in the field.

• I am open to negotiation based on the overall compensation package offered.
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Q1. What are your salary expectations and previous experience?
Ans. 
My salary expectations are in line with industry standards based on my 5 years of experience in DevOps roles.
• Salary expectations are based on industry standards and my level of experience

• I have 5 years of experience in DevOps roles

• Previous salary range was $80,000 - $100,000 per year
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Q1. Debugging a broken Dockerfile
Ans. 
Debugging a broken Dockerfile involves identifying and fixing errors in the Dockerfile code.
• Check for syntax errors in the Dockerfile code

• Ensure that all necessary dependencies are properly installed

• Use the 'docker build' command with the '--debug' flag to get more detailed error messages

• Check the build logs for any specific error messages or warnings

• Consider using a Dockerfile linter to identify common issues
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