Tesla
Online AssessmentTeslaOnline Assessment
Company-style OA practice sets with full problem statements, sample test cases, and solutions.
💰 Contribute & Earn
Have you recently taken Tesla's Online Assessment or coding test? Share the questions, test cases, or assessment patterns you encountered. Earn SWE180 Coins for every verified submission and use them to unlock other company OA sets and premium tools for free!
Practice Sets
Tesla Coding Assessment Practice Set 1
Building H2O
Problem Statement
In Tesla's technical coding assessment, candidates are evaluated on clean algorithmic problem-solving for "Building H2O".
Given standard input parameters adhering to Concurrency principles, design an optimal algorithm that satisfies all constraints and handles boundary test scenarios efficiently.
Ensure your implementation minimizes memory overhead and executes within the allotted online assessment time limits.
Input Format
- The first line specifies the dimensions or count of test elements N.
- The subsequent line(s) contain the input array, string, or graph representation.
Output Format
- Print the computed result adhering to the required return format.
Constraints
- 1 <= N <= 10^5
- -10^9 <= element[i] <= 10^9
- Time Limit: 2.0 seconds
- Memory Limit: 256 MB
Edge Cases
- Empty or single-element input
- Input containing maximum or minimum boundary values
- Uniform elements or all-negative test cases
Sample Test Cases
Example 1
Input
nums = [1, 2, 3, 4, 5], k = 3
Output
3
Explanation
Applying the optimal Concurrency approach yields the expected solution 3.
Candidate Instructions
- Identify the core invariant related to Concurrency.
- Verify edge cases including empty inputs and extreme bounds.
- Optimize time complexity before submitting.
Basic Calculator II
Problem Statement
In Tesla's technical coding assessment, candidates are evaluated on clean algorithmic problem-solving for "Basic Calculator II".
Given standard input parameters adhering to Math principles, design an optimal algorithm that satisfies all constraints and handles boundary test scenarios efficiently.
Ensure your implementation minimizes memory overhead and executes within the allotted online assessment time limits.
Input Format
- The first line specifies the dimensions or count of test elements N.
- The subsequent line(s) contain the input array, string, or graph representation.
Output Format
- Print the computed result adhering to the required return format.
Constraints
- 1 <= N <= 10^5
- -10^9 <= element[i] <= 10^9
- Time Limit: 2.0 seconds
- Memory Limit: 256 MB
Edge Cases
- Empty or single-element input
- Input containing maximum or minimum boundary values
- Uniform elements or all-negative test cases
Sample Test Cases
Example 1
Input
nums = [1, 2, 3, 4, 5], k = 3
Output
3
Explanation
Applying the optimal Math approach yields the expected solution 3.
Candidate Instructions
- Identify the core invariant related to Math.
- Verify edge cases including empty inputs and extreme bounds.
- Optimize time complexity before submitting.
Comprehensive Tesla Online Assessment Patterns & Questions
Gain complete transparency into the Tesla online assessment process. Prepare effectively with real, verified coding challenges, test patterns, and platform details.
Tesla Exact Coding Questions
Wondering what top companies are actually asking in their initial screening rounds? We provide exact Data Structures, Algorithms, and logical reasoning questions reported by candidates who recently took the Tesla online tests. Stop guessing and start practicing the right problems.
Test Patterns & Platforms
Understand exactly how many questions to expect, the typical time limits, and the platforms used (e.g., HackerRank, Codility, CodeSignal). Knowing the format in advance is the first step to clearing the Tesla OA.
🔥 Why practice these assessments?
- ✓High ROI: Most candidates are filtered out at the OA stage. Passing the OA guarantees an interview.
- ✓Real Edge Cases: We include not just the problem statements, but the hidden constraints and edge cases you need to pass all test cases.
- ✓Optimal Solutions: Learn the time and space complexities required to score perfectly in automated grading systems.