Prepare for Alibaba technical interviews with 6 tracked LeetCode questions, sortable by difficulty and topic.
| Title | Difficulty | Topics | Frequency | LeetCode |
|---|---|---|---|---|
| Path Sum IV | Medium | 100% | Solve | |
| Split Array with Equal Sum | Hard | 100% | Solve | |
| Split Concatenated Strings | Medium | 100% | Solve | |
| Valid Parenthesis String | Medium | 100% | Solve | |
| Longest Substring Without Repeating Characters | Medium | 68.9% | Solve | |
| Kth Largest Element in an Array | Medium | 38.7% | Solve |
6 questions total
Company analytics
Questions tracked
6
Questions currently linked to Alibaba
Topics represented
15
Distinct topics visible in this company set
Dominant difficulty
medium
83% of tracked questions
Avg frequency score
84.6
Mean frequency across this company question set
Alibaba currently has 6 tracked questions linked to 15 topics, so this page is a good benchmark for how deep the dataset goes on one employer.
The most common topics for Alibaba include Array, Hash Table, String, and Greedy. Array alone appears 4 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 84.6, and medium is the dominant difficulty bucket at 83% of tracked coverage. That makes it easier to decide whether to practice for repetition, complexity, or both.
Alibaba related paths
This section answers the most practical questions about using the Alibaba route as a company-specific LeetCode study page.
Start with the highest-frequency questions inside Array, Hash Table, and String, then sort the table by frequency to build a shortlist. That gives you a faster first pass through Alibaba's interview patterns than trying to cover every linked problem at once.
medium makes up 83% of the tracked Alibaba 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 Alibaba's strongest topic signal, then open Array and the global most-asked or questions explorer routes to see whether that company-specific pattern is also common across the wider dataset.
