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Rust (Coding): Debugging Test

The Rust Coding Debugging Test evaluates a candidate's ability to identify and fix errors in Rust programs. It covers topics like compiler errors runtime bugs memory management concurrency issues logic errors and performance optimization with both MCQ and coding questions aimed at assessing practical debugging skills.

Covered skills:

  • Common Compiler Errors
  • Run-time Bugs
  • Memory Management Issues
  • Concurrency Problems
  • Logic Errors
  • Error Handling
  • Testing Strategies
  • Debugging Tools
  • Performance Optimization
  • Code Readability and Maintainability
  • Ownership and Borrowing
  • Lifetimes and References
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About the Rust (Coding): Debugging Assessment Test


The Rust (Coding): Debugging Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Ability to identify and resolve common Rust compiler errors, enhancing code quality and compilation success
  • Skill in diagnosing and fixing run-time bugs, ensuring robust program execution
  • Proficiency in managing memory-related issues, crucial for Rust's safety guarantees
  • Capability to detect and resolve concurrency problems, essential for writing efficient parallel code
  • Aptitude for identifying and correcting logic errors, improving overall program correctness
  • Expertise in implementing effective error handling strategies, enhancing program reliability
  • Competence in applying various testing strategies to ensure code functionality and reliability
  • Familiarity with Rust-specific debugging tools and techniques for efficient problem solving
  • Skill in optimizing Rust code for better performance, crucial for resource-intensive applications
  • Ability to write clean, maintainable Rust code, facilitating long-term project sustainability
  • Proficiency in understanding and applying Rust's ownership and borrowing concepts
  • Expertise in managing lifetimes and references, fundamental to Rust's memory safety model

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Non-googleable questions


We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 15,000+ questions. The actual questions on this Rust (Coding): Debugging Test will be non-googleable.

🧐 Question

Easy

Join Handles
Concurrency
Thread Synchronization
Parallelism
Solve
Review the following two Rust code snippets:
 image
Notice the handle.join().unwrap() line added in snippet two. Pick the correct statements:

A: Snippet one prints 1 to 5 in the spawned thread and 1 to 3 in the main thread always.
B: Snippet one prints 1 to 3 in the main thread but spawned thread might be closed before it prints all the numbers.
C: Snippet two prints 1 to 5 in the spawned thread and 1 to 3 in the main thread always. 
D: Snippet two prints 1 to 3 in the main thread but the spawned thread might be closed before it prints all the numbers.

Medium

Mutable Sample
Structs
Variables and Mutability
Solve
What does the following Rust code print?
 image

Medium

Passed Function
Closures
Understanding-rust-code-behavior
Solve
Review the following code and pick the correct statements:
 image
A: The code prints 1223
B: The code prints 1111
C: The code prints 1234
D: The callPassedFunction(passedFunction) on line 7 makes a copy of passedFunction to become the argument of callPassedFunction. The copy gets executed and the x of copy becomes 2, but the original closure still holds a value of 1 for its captured x.
E: The callPassedFunction(passedFunction) on line 7 makes a copy of passedFunction to become the argument of callPassedFunction. The copy gets executed and x of the copy and the origin both become 2.
🧐 Question🔧 Skill

Easy

Join Handles
Concurrency
Thread Synchronization
Parallelism

2 mins

Rust
Solve

Medium

Mutable Sample
Structs
Variables and Mutability

2 mins

Rust
Solve

Medium

Passed Function
Closures
Understanding-rust-code-behavior

2 mins

Rust
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Join Handles
Concurrency
Thread Synchronization
Parallelism
Rust
Easy2 mins
Solve
Mutable Sample
Structs
Variables and Mutability
Rust
Medium2 mins
Solve
Passed Function
Closures
Understanding-rust-code-behavior
Rust
Medium2 mins
Solve
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Why you should use Pre-employment Rust (Coding): Debugging Test?

The Rust (Coding): Debugging Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Identifying and resolving common Rust compiler errors
  • Debugging runtime issues in Rust programs
  • Managing memory allocation and deallocation in Rust
  • Resolving concurrency problems in multithreaded Rust code
  • Detecting and fixing logic errors in Rust algorithms
  • Implementing proper error handling techniques in Rust
  • Applying effective testing strategies for Rust code
  • Utilizing Rust debugging tools and techniques
  • Optimizing Rust code for improved performance
  • Enhancing code readability and maintainability in Rust

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Rust (Coding): Debugging Test?

Common Compiler Errors: These are errors that occur when the Rust compiler fails to build the code, often due to syntax errors or incorrect use of types. Understanding how to identify and resolve these errors is crucial for efficiency and maintaining code quality.

Run-time Bugs: Bugs that occur during the execution of a program rather than at compile time. Detecting and fixing these issues ensures the program performs as expected under all conditions.

Memory Management Issues: These refer to problems related to the allocation, use, and release of memory, often leading to leaks or corruption. Efficiently managing memory is essential for performance and reliability.

Concurrency Problems: Issues that arise when multiple threads or processes run simultaneously, potentially leading to race conditions and deadlocks. Understanding concurrency is vital for building robust, scalable applications.

Logic Errors: Mistakes in the program's logic that cause it to operate incorrectly. Identifying logical flaws is important to ensure the software fulfills its intended purpose.

Error Handling: Mechanisms for managing and responding to errors during program execution. Proper error handling enhances the robustness and user experience of an application.

Testing Strategies: Approaches to verify that the code works as intended, including unit tests and integration tests. Effective testing can prevent bugs before they make it to production.

Debugging Tools: Utilities and techniques used to detect, trace, and fix bugs in software. Proficiency with debugging tools accelerates the troubleshooting process.

Performance Optimization: The practice of improving the speed and efficiency of code execution. Performance optimizations are critical for ensuring the software runs efficiently, even under heavy loads.

Code Readability and Maintainability: The clarity of code and how easy it is to understand, modify, and extend. Readable and maintainable code speeds up development and reduces the chance of future bugs.

Ownership and Borrowing: Principles unique to Rust's memory management model that prevent data races and ensure memory safety. Mastery of these concepts is fundamental to writing efficient and safe Rust code.

Lifetimes and References: Mechanisms that ensure references to data do not outlive the data they point to. Understanding lifetimes and references is essential for writing safe and efficient Rust programs.

Full list of covered topics

The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Rust (Coding): Debugging Test to be based on.

Compiler errors
Type mismatches
Borrow checker
Lifetime issues
Syntax errors
Run-time panics
Array bounds
Integer overflow
Null pointers
Memory leaks
Double free
Use-after-free
Data races
Deadlocks
Race conditions
Atomic operations
Logic bugs
Off-by-one errors
Infinite loops
Error propagation
Result type
Option type
Panic handling
Unit testing
Integration testing
Benchmark testing
Cargo test
Debug assertions
LLDB
GDB
Rust-gdb
Rust-lldb
Profiling
Code optimization
Algorithmic efficiency
Memory optimization
Code formatting
Documentation
Naming conventions
Ownership rules
Borrowing rules
Move semantics
Reference lifetimes
Lifetime annotations
Static lifetimes
Unsafe Rust
Smart pointers
Rc<T>
Arc<T>
RefCell<T>

What roles can I use the Rust (Coding): Debugging Test for?

  • Rust Developer
  • Backend Developer
  • Systems Engineer
  • Software Engineer
  • Embedded Systems Developer
  • Blockchain Developer
  • DevOps Engineer
  • Game Developer
  • Full Stack Developer
  • Machine Learning Engineer

How is the Rust (Coding): Debugging Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Implementing advanced ownership and borrowing concepts
  • Managing complex lifetime scenarios in Rust
  • Designing and implementing efficient concurrent Rust programs
  • Optimizing memory usage in large-scale Rust applications
  • Implementing advanced error handling patterns in Rust
  • Developing custom debugging tools for Rust projects
  • Profiling and optimizing Rust code for specific architectures
  • Implementing zero-cost abstractions in Rust
  • Designing and implementing safe FFI interfaces in Rust
  • Optimizing Rust code for embedded systems and constrained environments

The coding question for experienced candidates will be of a higher difficulty level to evaluate more hands-on experience.

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Have questions about the Rust (Coding): Debugging Hiring Test?

What is Rust (Coding): Debugging Test?

The Rust (Coding): Debugging Test is designed to assess a candidate's ability to debug Rust code. Recruiters and hiring managers use it to identify skilled Rust developers. It is helpful for evaluating debugging skills in real-world Rust scenarios.

Can I combine the Rust (Coding): Debugging Test with C (Coding): Debugging questions?

Yes, you can request a custom test with multiple skills. To evaluate C debugging skills, you can refer to our C (Coding): Debugging Test for more details.

What topics are evaluated in the Rust (Coding): Debugging Test?

This test covers common compiler errors, run-time bugs, memory management issues, concurrency problems, logic errors, error handling, testing strategies, debugging tools, performance optimization, code readability and maintainability, ownership and borrowing, lifetimes and references.

How to use the Rust (Coding): Debugging Test in my hiring process?

Use this test as a pre-screening tool early in your recruitment. Add a link to the assessment in your job post or invite candidates by email. It helps in identifying the most skilled Rust developers efficiently.

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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