Prepare for HP technical interviews with 4 tracked LeetCode questions, sortable by difficulty and topic.
| Title | Difficulty | Topics | Frequency | LeetCode |
|---|---|---|---|---|
| Minimum Recolors to Get K Consecutive Black Blocks | Easy | 100% | Solve | |
| Valid Parentheses | Easy | 65.1% | Solve | |
| Longest Palindrome | Easy | 62.9% | Solve | |
| Minimum Cost Homecoming of a Robot in a Grid | Medium | 47.2% | Solve |
4 questions total
Company analytics
Questions tracked
4
Questions currently linked to HP
Topics represented
6
Distinct topics visible in this company set
Dominant difficulty
easy
75% of tracked questions
Avg frequency score
68.8
Mean frequency across this company question set
HP currently has 4 tracked questions linked to 6 topics, so this page is a good benchmark for how deep the dataset goes on one employer.
The most common topics for HP include String, Greedy, Array, and Hash Table. String alone appears 3 times in the visible topic distribution. That topic spread helps you identify whether this company is repeating a few patterns or testing across a broader surface area.
The current question set averages a frequency score of 68.8, and easy is the dominant difficulty bucket at 75% of tracked coverage. That makes it easier to decide whether to practice for repetition, complexity, or both.
HP related paths
This section answers the most practical questions about using the HP route as a company-specific LeetCode study page.
Start with the highest-frequency questions inside String, Greedy, and Array, then sort the table by frequency to build a shortlist. That gives you a faster first pass through HP's interview patterns than trying to cover every linked problem at once.
easy makes up 75% of the tracked HP question set. Use that split to decide whether your study plan should emphasize coverage, realistic interview pressure, or deeper problem solving.
Use this page to identify HP's strongest topic signal, then open String and the global most-asked or questions explorer routes to see whether that company-specific pattern is also common across the wider dataset.
