Tip 1: Stay consistent — even if questions aren't getting solved, keep working through them. Persistence is key to finding a solution, and continuing to push forward will help you gain deeper insights and eventually solve the problem.
Tip 2: Start by tackling the easier questions first, as they help build confidence and warm up your problem-solving skills. Once you’ve gained some momentum, move on to the medium-level questions. This approach ensures you’re methodically progressing and increases your chances of success while avoiding feeling overwhelmed.
Tip 3: Practice 100 question at least.
Tip 1: Customize your resume for each application by highlighting skills and experiences relevant to the specific role. Review the job description and align your qualifications with the required competencies. This shows that you’ve done your research and increases your chances of passing the initial screening.
Tip 2:Instead of just listing job responsibilities, emphasize specific accomplishments with measurable results. For example, mention how you improved efficiency by X% or contributed to a project that generated Y revenue. This helps demonstrate your impact and sets you apart from other candidates with similar roles.



Given two arrays, return the intersection of the two arrays. Each element in the result must be unique. You may assume that the input arrays are non-empty.
Approach:
Use a HashSet (unordered_set in C++):
A hash set allows us to quickly check if an element from one array exists in the other array, and ensures that each element in the result is unique.
Steps:
Store elements of the first array in an unordered_set.
Iterate through the second array and check if the element exists in the unordered_set.
If it does, add it to the result set (unordered_set ensures uniqueness).
Return the result as the intersection.



Given two strings, determine if one is an anagram of the other.
An anagram is a word or phrase formed by rearranging the letters of a different word or phrase using all the original letters exactly once.
Steps:
Check if the lengths of the strings are the same:
If the lengths are different, the strings cannot be anagrams. Return false immediately.
Create frequency maps:
Use a hash map (or an array for fixed character sets like lowercase English letters) to count the frequency of each character in both strings.
Compare the frequency maps:
Compare the frequency of characters in both strings. If they match, the strings are anagrams. If they don't match, return false.
Return the result:
If the frequency counts for all characters are equal, return true; otherwise, return false.

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