Snowflake SWE AI/ML Intern Online Assessment Problems

I recently gave the Snowflake SWE AI/ML Intern OA, and these were the three problems asked. The languages allowed were Go, Java, and Python only. --- # Problem 1: Simple Array Rotation Game ## **Descr

I recently gave the Snowflake SWE AI/ML Intern OA, and these were the three problems asked. The languages allowed were Go, Java, and Python only. --- # Problem 1: Simple Array Rotation Game ## Description: You are given an array of distinct positive integers and another array that specifies the number of left circular rotations to be performed. ### Rotation Rule A left circular rotation shifts all elements one position to the left: * The element at index 0 moves to the last position. * All other elements shift left by one index. ### Task For each rotation value in the rotate array: * Perform the rotation on the original array (not cumulatively). * Determine the index of the maximum element after the rotation. --- ## Function Description Complete the function getMaxElementIndexes. ### Parameters: * int a[n]: Array of distinct integers. * int rotate[m]: Array representing the number of rotations. ### Returns: * int[m]: Array where each element represents the index of the maximum element after corresponding rotations. --- ## Constraints * 1 ≤ n, m ≤ 100000 * 1 ≤ a[i] ≤ 1000000000 * 0 ≤ rotate[i] ≤ 1000000000 --- ### Example 1 Input: a = [1, 2, 3] rotate = [1, 2, 3, 4] Output: [1, 0, 2, 1] Explanation: * Rotation 1 → [2, 3, 1], max = 3 at index 1 * Rotation 2 → [3, 1, 2], max = 3 at index 0 * Rotation 3 → [1, 2, 3], max = 3 at index 2 * Rotation 4 → [2, 3, 1], max = 3 at index 1 --- # Problem 2: String Formation ## Description: You are given an array of strings where each string has the same length, and a target string. ### Rules for Formation * You can pick characters from any string. * The indices of chosen characters must be strictly increasing. * You can use multiple characters from the same string. * Different choices of indices or strings count as different ways. --- ## Task Determine the total number of ways to form the target string. Return the result modulo: [10^9 + 7] --- ## Function Description Complete the function numWays. ### Parameters: * string words[n]: Array of strings of equal length. * string target: Target string to form. ### Returns: * int: Number of ways to form the target string modulo (10^9 + 7) --- ## Constraints * 1 ≤ n ≤ 1000 * 1 ≤ length of words[i] ≤ 3000 * Sum of length of all words ≤ 100000 * 1 ≤ length of target ≤ length of words[i] --- ## Example ### Example 1 Input: words = ["adc", "aec", "efg"] target = "ac" Output: 4 Explanation: The 4 valid ways: 1. Take 'a' from "adc" (index 1), 'c' from "adc" (index 3) 2. Take 'a' from "adc", 'c' from "aec" 3. Take 'a' from "aec", 'c' from "adc" 4. Take 'a' from "aec", 'c' from "aec" --- # Problem 3: Test the Hypothesis ## Description: You are given two datasets and a confidence level. Your task is to determine whether their means are significantly different using a t-test. --- ## Hypothesis Testing * Perform a two-tailed t-test. * Compare the computed t-statistic with the critical t-value at the given confidence level. --- ## Output Requirements Return: 1. "Yes" → if means are significantly different 2. "No" → otherwise Also return a magnitude value, defined as: magnitude = |t_computed - t_critical| * Rounded to 2 decimal places --- ## Function Description Complete the function testHypothesis. ### Parameters: * int n: Number of data points * float x[n]: First dataset * float y[n]: Second dataset * float confidence_level: Confidence level ### Returns: * array[2]: * First element: "Yes" or "No" * Second element: magnitude (rounded to 2 decimals) --- ## Example ### Example 1 Input: x = [4.461, 7.757, 17.317, 4.151] y = [8.911, 12.68, -10.593, 17.048] confidence_level = 0.95 Output: ["No", 2.47] Explanation: * The t-test shows the means are not significantly different. * The margin by which the null hypothesis holds is 2.47.