Rust (Coding): Intermediate Level Algorithms Test

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The main coding tests in our library include: Python Online Test JavaScript Online Test Java Online Test C++ Online Test

The Rust Intermediate Level Algorithms Test evaluates a candidate's proficiency in Rust by testing their ability to implement and optimize various algorithms. It includes MCQ questions for theoretical knowledge and coding questions to assess practical skills in Rust. Ideal for evaluating roles that require algorithmic thinking and Rust programming capabilities.

Covered skills:

Recursion
Dynamic Programming
Data Structures
Algorithm Optimization
Concurrency and Parallelism
String Manipulation
Graph Algorithms
Sorting and Searching
Pattern Matching
Memory Management

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About the Rust (Coding): Intermediate Level Algorithms Assessment Test

The Rust (Coding): Intermediate Level Algorithms 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:

Proficient in implementing recursive algorithms to solve complex problems efficiently
Skilled at developing dynamic programming solutions for optimization problems
Experienced in implementing and manipulating advanced data structures in Rust
Capable of optimizing algorithms for improved performance and resource utilization
Adept at implementing concurrent and parallel programming techniques in Rust
Proficient in manipulating and processing strings efficiently using Rust's standard library
Experienced in implementing and analyzing various graph algorithms
Skilled at implementing and optimizing sorting and searching algorithms
Capable of applying pattern matching techniques to solve complex problems
Proficient in managing memory efficiently and preventing memory leaks in Rust programs

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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): Intermediate Level Algorithms Test will be non-googleable.

🧐 Question
Easy Join Handles Concurrency Thread Synchronization Parallelism	Solve
Review the following two Rust code snippets: 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?
Medium Passed Function Closures Understanding-rust-code-behavior	Solve
Review the following code and pick the correct statements: 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
Review the following two Rust code snippets: 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	2 mins Rust	Solve
What does the following Rust code print?
	Medium Passed Function Closures Understanding-rust-code-behavior	2 mins Rust	Solve
Review the following code and pick the correct statements: 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	💪 Difficulty	⌛ Time
	Join Handles Concurrency Thread Synchronization Parallelism	Rust	Easy	2 mins	Solve
Review the following two Rust code snippets: 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.
	Mutable Sample Structs Variables and Mutability	Rust	Medium	2 mins	Solve
What does the following Rust code print?
	Passed Function Closures Understanding-rust-code-behavior	Rust	Medium	2 mins	Solve
Review the following code and pick the correct statements: 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.

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We evaluated several of their competitors and found Adaface to be the most compelling. Great library of questions that are designed to test for fit rather than memorization of algorithms.

Swayam Narain, CTO, Affable

Why you should use Pre-employment Rust (Coding): Intermediate Level Algorithms Test?

The Rust (Coding): Intermediate Level Algorithms 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:

Writing recursive functions for problem-solving.
Implementing dynamic programming algorithms.
Utilizing common data structures efficiently.
Optimizing algorithms for time and space.
Implementing concurrency with Rust's tools.
Manipulating strings with Rust's standard library.
Implementing graph traversal algorithms.
Applying sorting and searching techniques.
Pattern matching with Rust enums.
Managing memory effectively with 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): Intermediate Level Algorithms Test?

Recursion: Recursion involves a function calling itself to break down a problem into simpler sub-problems. It's fundamental for tasks involving hierarchical data structures like trees and graphs. Measuring this skill helps evaluate a candidate's ability to implement efficient solutions for complex, nested problems.

Dynamic Programming: Dynamic Programming is a technique used to solve problems by breaking them down into simpler sub-problems and storing results to avoid redundant calculations. It's crucial for optimizing computational efficiency. This skill is critical for developing algorithms that can tackle large datasets effectively.

Data Structures: Data Structures, like arrays, linked lists, and hash maps, are ways to store and organize data in a computer. They are fundamental to writing efficient code. Proficiency in this area is necessary for optimizing storage, processing, and retrieval tasks.

Algorithm Optimization: Algorithm Optimization focuses on improving the efficiency and performance of a program. This is important to ensure fast execution and lower resource consumption. It evaluates a candidate's ability to refine code to meet performance constraints.

Concurrency and Parallelism: Concurrency involves managing multiple tasks simultaneously, while parallelism executes multiple tasks at the same time. These concepts are key for optimizing performance in multi-core processor environments. This skill assesses a candidate's proficiency in writing code that can run efficiently in real-world, multi-threaded environments.

String Manipulation: String Manipulation entails handling and modifying strings of text. This skill is essential for various applications, including parsing, formatting, and data extraction. Proficiency in string manipulation ensures robust handling of textual data.

Graph Algorithms: Graph Algorithms are a set of instructions to solve problems on graphs, which are structures made up of nodes and edges. They are pivotal for network analysis, pathfinding, and connectivity tasks. This skill gauges an individual's capability to handle complex, interconnected data.

Sorting and Searching: Sorting and Searching algorithms are foundational techniques for organizing and retrieving data efficiently. These operations are fundamental for database management and information retrieval systems. This measures one's ability to implement core algorithms optimally.

Pattern Matching: Pattern Matching involves checking a given sequence of tokens for the presence of some pattern. It is widely used in text processing, data validation, and computational biology. This skill showcases an individual's ability to efficiently detect and process patterns in data.

Memory Management: Memory Management is the process of controlling and coordinating computer memory, including the allocation and deallocation of memory blocks. Proper memory management is critical to prevent leaks and optimize program performance. This skill is key for ensuring that applications run efficiently and reliably.

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): Intermediate Level Algorithms Test to be based on.

Recursion

Tail recursion

Memoization

Dynamic Programming

Tabulation

Vectors

HashMaps

BTreeMaps

Binary Heaps

Linked Lists

Time complexity

Space complexity

Big O notation

Threads

Async/await

Channels

Mutexes

String slicing

String concatenation

Regular expressions

Graph traversal

Dijkstra's algorithm

Breadth-first search

Depth-first search

Quicksort

Mergesort

Binary search

Linear search

Pattern matching

Ownership

Borrowing

Lifetimes

Smart pointers

Reference counting

Box<T>

Rc<T>

Arc<T>

Iterators

Closures

Generics

Traits

Error handling

Result<T, E>

Option<T>

Macros

Unsafe Rust

FFI

Cargo

Crates

Unit testing

Integration testing

What roles can I use the Rust (Coding): Intermediate Level Algorithms Test for?

Software Engineer
Backend Developer
Systems Engineer
Application Developer
Full Stack Developer
Algorithm Developer
DevOps Engineer
Embedded Systems Engineer
Data Engineer
Game Developer

How is the Rust (Coding): Intermediate Level Algorithms 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

Writing efficient recursive algorithms.
Designing and using advanced data structures.
Optimizing algorithms for complex scenarios.
Using concurrency and parallelism effectively.
Implementing dynamic programming for complex problems.
Handling strings with advanced techniques.
Designing efficient graph algorithms.
Advanced sorting and searching methods.
Pattern matching for complex data.
Memory management in performance-critical applications.

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): Intermediate Level Algorithms Hiring Test?

What is Rust (Coding): Intermediate Level Algorithms Test?

The Rust (Coding): Intermediate Level Algorithms Test assesses candidates' proficiency in Rust for intermediate-level algorithmic challenges. It's ideal for recruiters seeking to evaluate Rust developers' skills in various advanced topics. This test helps ensure candidates are well-versed in critical areas of Rust programming.

Can I combine Rust test with Data Analysis Test questions?

Yes, recruiters can request a single custom test with multiple skills. To understand how we assess Data Analysis skills, check out the Data Analysis Test.

What skills are evaluated in the Rust (Coding): Intermediate Level Algorithms Test?

This test evaluates:

Advanced Data Structures in Rust
Concurrency and Parallelism
Memory Management and Ownership
Error Handling and Result Type
Iterators and Functional Programming
Trait Objects and Dynamic Dispatch
Macros and Metaprogramming
Unsafe Rust and FFI
Advanced Pattern Matching
Asynchronous Programming
Performance Optimization Techniques
Testing and Benchmarking.

How to use Rust (Coding): Intermediate Level Algorithms Test in my hiring process?

Use this test as a pre-screening tool at the beginning of your recruitment process. Add a link to the assessment in your job post or directly invite candidates by email. This process helps find skilled candidates earlier.

Can I test Rust and Python together in a test?

Yes, you can test both Rust and Python in a single custom test. This allows for a more comprehensive assessment of candidates' language proficiency. To know more about our Python assessment, visit the Python Online Test.

What are the main coding tests?

The main coding tests in our library include:

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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Along with scorecards that report the performance of the candidate in detail, you also receive a comparative analysis against the company average and industry standards.

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