IT Operations Engineer Intern

Tip 1: structure your answer in clear steps – Start from identifying the issue, then move to backup, and finally suggest resolution or replacement to show logical thinking as well as what are consequence of those steps 
Tip 2: Mention relevant tools or commands – Refer to system commands like chkdsk or tools like disk management to show practical knowledge, not just theory
Tip 3:Emphasize data safety and action urgency – Highlight the importance of immediate data backup and quick action to prevent further damage or data loss.

Step 1: I first suggested using nested loops to count how many times each error code appeared.
Interviewer noted it would work, but asked if I could optimize it for larger inputs.

Step 2: I then proposed using a hash map to store the frequency of each error code. This would reduce the time complexity significantly.
The interviewer liked that I moved toward a more efficient solution and appreciated that I was thinking about scalability.

Step 3: After building the frequency map, I used a simple loop to find the code with the highest count.
The interviewer said the logic was clean and practical, especially in real-world log analysis scenarios.

Step 4: I briefly explained how this kind of logic could be used in IT Ops to identify frequent system errors or failures.
They appreciated the real-world connection and told me it's important for IT Ops engineers to think in such analytical ways.

Tip 1:Use tools like msconfig (Windows) or systemctl (Linux) to disable unnecessary services that consume memory and CPU. Carefully manage auto-starting daemons and background jobs.
Tip 2:Adjust virtual memory size based on workload. On Windows, increase paging file size; on Linux, monitor and optimize swap space to prevent memory bottlenecks.
Tip 3:On Windows: Use regedit to tweak performance-related keys (e.g., disabling Superfetch on HDDs).