Hello everyone, I am a senior at Programhelp. I have recently helped many students successfully pass Point72 Online Assessment. Point72 OA has a high mix of question types and high time pressure, making it a level that many students can easily get stuck on. Below I have compiled the latest high-frequency real questions in 2026, detailed problem-solving ideas and code templates for your reference.
Point72 OA overall situation
- Platform:HackerRank
- Question volume: 3 Coding questions
- Duration：Generally 90~105 minutes
- Difficulty: Usually 1 Easy + 2 Medium/Medium-Hard
- Features: The time pressure is high, the second and third questions have longer descriptions, and focus on boundary processing and code quality.
Point72 OA questions have a high degree of mix, and SQL, algorithms, and Python may all appear. It is very important to prepare in advance.
Point72 OA 2026 Detailed explanation of high-frequency real questions
1. SQL: Internet Service Provider Monthly Report (Extremely High Frequency)
Topic: Create a May billing report for your ISP, showing each customer's MAC address, total traffic, and total charge (traffic × customer rate, rounded to two decimal places), sorted by charge in descending order.
Problem-solving ideas: JOIN two tables, filter May data, and use ROUND and GROUP BY to calculate expenses.
SELECT
c.mac,
SUM(t.amount) AS total_traffic,
ROUND(SUM(t.amount * c.tariff), 2) AS total_cost
FROM clients c
JOIN traffic t ON c.id = t.client_id
WHERE t.dt LIKE '2025-05%'
GROUP BY c.id, c.mac
ORDER BY total_cost DESC;2. Stock price triple counting (high frequency·algorithm)
Topic: Given an integer array arr representing daily stock prices, and an integer d, count the number of triples (i, j, k) that satisfy the following conditions:
- I < j < k
- (arr[i] + arr[j] + arr[k]) % d == 0
Example:
Text
Input: arr = [3, 3, 4, 7, 8], d = 5
Output: 3Problem-solving ideas:
- Use a hash table to count the number of occurrences of the remainder of each number modulo d
- Enumerate i and j and calculate the remainder of the third number required (d – (arr[i] + arr[j]) % d) % d
- Be careful to avoid double counting
Time complexity:O(n²) (n ≤ 1000 is acceptable)
3. Server selection (high frequency · greedy)
Topic: Given n servers, each capacity is a power of 2. Given a target load expected_load, select the minimum number of servers such that the sum of their capacities is exactly equal to expected_load. Each server can be used at most once, and returns -1 if it cannot be used together.
Example:
- Servers = [1,1,2,4], expected_load = 3 → output 2 (1+2)
- Servers = [1,1,1], expected_load = 4 → output -1
Problem-solving ideas:
Prioritize trying to use high-capacity servers
Because the capacity is a power of 2, you can use greedy selection from large to small (similar to binary splitting)
4. Python: Stop word statistics (high frequency · Python)
Topic: Given text text and an integer k, return a list of words with occurrences ≥ k, sorted by first occurrence.
Problem-solving ideas: Use OrderedDict to record the first occurrence order and count, and finally filter and return.
5. Git: initial commit (high frequency Git operations)
Topic:Set the local username/email in the specified warehouse, submit all files and push to origin.
Core commands:
Git config user.name "Hacker Developer"
git config user.email "hacker.developer@hackercompany.com"
git add .
Git commit -m "Initial Implementation"
git push origin main6. SQL: score range statistics (basic high frequency)
Topic: Query the highest and lowest scores of students' test scores.
SELECT
MAX(score) AS MAX_MARKS,
MIN(score) AS MIN_MARKS
FROM exam_scores;Tips for preparing for war
- Time management: The first question is controlled within 20-25 minutes, the second question is 25-30 minutes, and the third question ensures that the framework and main optimizations are written down.
- Key question types: SQL (JOIN, aggregation, ROUND), DP/greedy, Python string processing, Git basic operations
- Practice method: HackerRank Strictly 90-105 minutes of full-scale simulation + LeetCode Medium questions
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