Prepare for Aurora technical interviews with 8 tracked LeetCode questions, sortable by difficulty and topic.
| Title | Difficulty | Topics | Frequency | LeetCode |
|---|---|---|---|---|
| LRU Cache | Medium | 100% | Solve | |
| Zuma Game | Hard | 97.8% | Solve | |
| Maximum Number of Visible Points | Hard | 92.9% | Solve | |
| Diameter of Binary Tree | Easy | 74.6% | Solve | |
| Word Search II | Hard | 72.4% | Solve | |
| Number of Distinct Islands | Medium | 53.9% | Solve | |
| Number of Islands II | Hard | 52.4% | Solve | |
| Flatten Nested List Iterator | Medium | 36.3% | Solve |
8 questions total
Company analytics
Questions tracked
8
Questions currently linked to Aurora
Topics represented
24
Distinct topics visible in this company set
Dominant difficulty
hard
50% of tracked questions
Avg frequency score
72.5
Mean frequency across this company question set
Aurora currently has 8 tracked questions linked to 24 topics, so this page is a good benchmark for how deep the dataset goes on one employer.
The most common topics for Aurora include Array, Depth-First Search, Hash Table, and Breadth-First Search. Array 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 72.5, and hard is the dominant difficulty bucket at 50% of tracked coverage. That makes it easier to decide whether to practice for repetition, complexity, or both.
Aurora related paths
This section answers the most practical questions about using the Aurora route as a company-specific LeetCode study page.
Start with the highest-frequency questions inside Array, Depth-First Search, and Hash Table, then sort the table by frequency to build a shortlist. That gives you a faster first pass through Aurora's interview patterns than trying to cover every linked problem at once.
hard makes up 50% of the tracked Aurora 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 Aurora'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.
