Idexcel Technologies Automation Engineer Interview Questions and Answers

Multiprocessing is the use of multiple processors to execute multiple tasks simultaneously. Multithreading is the use of multiple threads within a single process to execute multiple tasks simultaneously.

• Multiprocessing involves the use of multiple processors or cores to execute multiple tasks simultaneously.

• Multithreading involves the use of multiple threads within a single process to execute multiple tasks simultaneou...read more

Simulating one user profile to another can be done through user impersonation.

• User impersonation can be achieved through various tools and techniques.

• One way is to use a proxy server to intercept and modify the user's requests and responses.

• Another way is to use a browser extension or plugin that allows you to switch between user profiles.

• You can also use a testing tool like Selenium to automate the process of switchin...read more

bashrc and .profile are configuration files for the Bash shell in Linux/Unix systems.

• bashrc is executed for every new interactive shell session

• .profile is executed only once during login

• They contain environment variables, aliases, and other shell settings

• bashrc is typically used for user-specific settings, while .profile is system-wide

• Examples: setting PATH variable, defining aliases, setting prompt

Code using multithreading to scan 3 log files for different patterns and write matches in o/p file with low memory footprint.

• Use Python's threading module to create multiple threads for each log file

• Use regex to search for patterns in each log file

• Write matches to output file using a thread-safe queue

• Use a memory-efficient data structure like deque to store log file lines

Code to run as a service to scan CPU/memory every 30 sec and calculate min, max, avg and moving avg of last 300 sec.

• Use a loop to run the code every 30 sec

• Use psutil library to get CPU/memory usage

• Store the values in a list and calculate min, max, avg and moving avg using numpy library

• Use threading to run the code in the background as a service