Tip 1: DSA is the most important. You can learn it from any source, just make sure to do it completely twice.
Tip 2: Be thorough with the projects you have mentioned on your resume. Don’t fake anything on your CV; the interviewer will catch it easily.
Tip 3: Show your thinking skills, even if you know the exact correct answer. Sometimes, the interviewer is more interested in the thought process you followed than in the correct answer itself.
Tip 1: Work on meaningful projects and try to deploy them. Include only those things in your resume that you have good knowledge of. Don't worry about what others are putting in their resumes. Own your resume.
Tip 2: Avoid including irrelevant things or outdated achievements, such as school accomplishments or merely participation in competitions, in your resume.
The interview was scheduled for 11 am on a Thursday. It was an online round. We were instructed to sit in a quiet place with good internet connectivity. The interviewer was good, and different types of questions were asked, ranging from DSA to DBMS. Then, he asked if I was comfortable with Data Science, to which I replied 'No,' as they expected knowledge of CNN and RNN concepts, which I wasn't comfortable with.
If the given string is: STR = "abcde". You have to print the string "edcba".
Try to solve the problem in O(1) space complexity.
Step 1: Traverse the string in reverse order.
Step 2: Create two strings: one for the answer and another (dummy) string to store individual words. Add characters to the dummy string in reverse order.
Step 3: As soon as you encounter a blank space, append the new word to the answer string.
Step 4: Print the result.
Step 5: The interviewer asked me to improve the solution and remove extra spaces.
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