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C (Coding): Data Structures & Objects Test

The C (Coding): Data Structures & Objects Test evaluates a candidate's proficiency in C programming with a focus on data structures and object-oriented concepts. It assesses knowledge of fundamental data structures, algorithms, and C language syntax through MCQs. The test includes coding questions to evaluate practical skills in implementing efficient data structures and solving complex problems using C.

Covered skills:

  • Arrays and Strings
  • Linked Lists
  • Stacks and Queues
  • Trees and Graphs
  • Hash Tables
  • Sorting Algorithms
  • Searching Algorithms
  • Dynamic Programming
  • Object-Oriented Programming
  • Memory Management
  • Time and Space Complexity
  • C Language Syntax
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About the C (Coding): Data Structures & Objects Assessment Test


The C (Coding): Data Structures & Objects 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:

  • Proficiency in understanding and applying C language syntax.
  • Ability to manipulate arrays and strings effectively.
  • Skill in implementing and manipulating linked lists.
  • Expertise in using stacks and queues for various applications.
  • Capability to design and implement tree and graph data structures.
  • Proficiency in utilizing hash tables for efficient data access.
  • Understanding and applying sorting algorithms to organize data.
  • Skill in using searching algorithms to find data efficiently.
  • Ability to apply dynamic programming techniques to solve complex problems.
  • Understanding and implementing object-oriented programming principles in C.
  • Competency in managing memory efficiently in C, including dynamic allocation and deallocation.
  • Ability to analyze and optimize time and space complexity for algorithms.

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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 C (Coding): Data Structures & Objects Test will be non-googleable.

🧐 Question

Medium

Defer, Panic, and Recover
Control Flow
Error Handling
Panic And Recovery
Solve
Consider the following Go code snippet, where we're exploring the use of defer, panic, and recover:
 image
In this pseudo-code, badCall function is deliberately causing a panic. test function uses a deferred function to handle the panic and recover from it. What will the output of this code be when it is run?
 image

Medium

Go Maps
Maps
Map Iteration
Go Syntax
Solve
Which of the following statements are true regarding the order of output for following Go code:
 image
A. Output will be ordered by values
B. Output will be ordered by keys
C. Output will be ordered randomly
D. Output will be ordered by position in the code

Medium

File Handling and Defer
File Handling
Go Syntax Understanding
Solve
Consider the following Go code. Where should we use *defer*?
 image

Easy

Go WaitGroup
Concurrency
Go Programming
Solve
What does the following Go code output?
 image

Medium

Mutex Locks
Mutex
Goroutines
Concurrency
Solve
Consider the following Go program:
 image
What is the expected output of the final counter when the program is run?
🧐 Question🔧 Skill

Medium

Defer, Panic, and Recover
Control Flow
Error Handling
Panic And Recovery

2 mins

Go
Solve

Medium

Go Maps
Maps
Map Iteration
Go Syntax

2 mins

Go
Solve

Medium

File Handling and Defer
File Handling
Go Syntax Understanding

2 mins

Go
Solve

Easy

Go WaitGroup
Concurrency
Go Programming

2 mins

Go
Solve

Medium

Mutex Locks
Mutex
Goroutines
Concurrency

2 mins

Go
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Defer, Panic, and Recover
Control Flow
Error Handling
Panic And Recovery
Go
Medium2 mins
Solve
Go Maps
Maps
Map Iteration
Go Syntax
Go
Medium2 mins
Solve
File Handling and Defer
File Handling
Go Syntax Understanding
Go
Medium2 mins
Solve
Go WaitGroup
Concurrency
Go Programming
Go
Easy2 mins
Solve
Mutex Locks
Mutex
Goroutines
Concurrency
Go
Medium2 mins
Solve
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Why you should use Pre-employment C (Coding): Data Structures & Objects Test?

The C (Coding): Data Structures & Objects 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:

  • Implementing arrays and string manipulation
  • Creating and manipulating linked lists
  • Using stacks and queues effectively
  • Building and traversing trees and graphs
  • Implementing hash tables for data storage
  • Applying basic sorting algorithms
  • Utilizing searching algorithms for data retrieval
  • Implementing basic dynamic programming solutions
  • Understanding C language syntax and semantics
  • Managing memory allocation and deallocation

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 C (Coding): Data Structures & Objects Test?

Arrays and Strings: Fundamental data structures for storing and manipulating collections of elements. Arrays offer constant-time access to elements, while strings are specialized for text processing. Proficiency in these structures is crucial for efficient memory usage and algorithm implementation.

Linked Lists: Dynamic data structures consisting of nodes connected through pointers. They excel in insertion and deletion operations, particularly useful for implementing dynamic memory allocation. Understanding linked lists is essential for managing non-contiguous memory efficiently.

Stacks and Queues: Abstract data types with specific access patterns. Stacks follow Last-In-First-Out (LIFO) principle, while queues adhere to First-In-First-Out (FIFO). These structures are fundamental in algorithm design, memory management, and process scheduling.

Trees and Graphs: Hierarchical and network-based data structures used to represent complex relationships. Trees are vital for efficient searching and sorting, while graphs model intricate connections in various applications. Mastery of these structures is key to solving advanced algorithmic problems.

Hash Tables: Data structures that provide constant-time average-case complexity for insertion, deletion, and lookup operations. They use a hash function to map keys to array indices, enabling efficient data retrieval. Hash tables are crucial for implementing dictionaries, caches, and symbol tables.

Sorting Algorithms: Techniques for arranging data in a specific order. Understanding various sorting algorithms and their time complexities is crucial for optimizing data processing tasks. Proficiency in this area demonstrates problem-solving skills and algorithm analysis capabilities.

Searching Algorithms: Methods for finding specific elements within data structures. From simple linear search to advanced binary search trees, these algorithms are fundamental to data retrieval and processing. Efficiency in searching impacts overall program performance significantly.

Dynamic Programming: An algorithmic paradigm that solves complex problems by breaking them down into simpler subproblems. It optimizes recursive algorithms by storing intermediate results, crucial for solving optimization problems efficiently. Mastery of dynamic programming showcases advanced problem-solving skills.

Object-Oriented Programming: A programming paradigm based on the concept of 'objects' containing data and code. It promotes code reusability, modularity, and easier maintenance. Understanding OOP principles is essential for designing scalable and maintainable software systems.

Memory Management: The process of allocating, using, and freeing memory in programs. Proper memory management is critical to prevent memory leaks and optimize resource usage. Proficiency in this area is crucial for developing efficient and stable applications.

Time and Space Complexity: Analysis of algorithm efficiency in terms of execution time and memory usage. Understanding these concepts is vital for optimizing code performance and making informed design decisions. It demonstrates the ability to evaluate and improve algorithmic solutions.

C Language Syntax: The rules and structure of the C programming language. Proficiency in C syntax is fundamental for low-level programming, system development, and understanding memory management. It forms the basis for many modern programming languages and is essential for performance-critical applications.

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 C (Coding): Data Structures & Objects Test to be based on.

C Syntax
Data Types
Pointers
Structs
Functions
Recursion
File I/O
Preprocessors
Arrays
String Manipulation
Linked Lists
Single Linked List
Double Linked List
Circular Linked List
Stacks
Queues
Priority Queue
Dequeue
Binary Trees
Binary Search Trees
AVL Trees
Red-Black Trees
Graph Representation
Graph Traversal
DFS
BFS
Hash Tables
Hash Functions
Collision Resolution
Bubble Sort
Selection Sort
Insertion Sort
Merge Sort
Quick Sort
Heap Sort
Binary Search
Linear Search
Dynamic Programming
Memoization
Tabulation
Classes
Inheritance
Polymorphism
Encapsulation
Abstraction
Memory Allocation
malloc
calloc
free
Time Complexity
Big O Notation
Space Complexity
Optimization Techniques

What roles can I use the C (Coding): Data Structures & Objects Test for?

  • Software Developer
  • C Programmer
  • Embedded Systems Engineer
  • Systems Programmer
  • Game Developer
  • Algorithm Engineer
  • Backend Developer
  • Data Structures Specialist
  • Low-Level Systems Developer
  • Software Engineer

How is the C (Coding): Data Structures & Objects 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

  • Optimizing code for time complexity
  • Optimizing code for space complexity
  • Designing complex trees and graph algorithms
  • Implementing advanced sorting algorithms
  • Applying advanced searching techniques
  • Writing efficient dynamic programming solutions
  • Applying advanced object-oriented programming principles
  • Ensuring efficient memory management strategies
  • Boxing and unboxing with C syntax
  • Using advanced C language features and libraries

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 C (Coding): Data Structures & Objects Hiring Test?

What is C (Coding): Data Structures & Objects Test?

The C (Coding): Data Structures & Objects Test assesses candidates' skills in data structures and object-oriented programming using C. It is utilized by recruiters to evaluate the technical proficiency of candidates.

Can I combine C (Coding): Data Structures & Objects Test with C# & .NET questions?

Yes, recruiters can request a single custom test with multiple skills in the same test. For more details on how we assess C# & .NET, refer to the C# & .NET Test.

What topics are evaluated in this test?

This test covers Arrays and Strings, Linked Lists, Stacks and Queues, Trees and Graphs, Hash Tables, Sorting Algorithms, Searching Algorithms, Dynamic Programming, Object-Oriented Programming, Memory Management, Time and Space Complexity, and C Language Syntax.

How to use C (Coding): Data Structures & Objects 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 invite candidates by email. Adaface helps identify skilled candidates early and faster.

Can I test C (Coding): Data Structures & Objects and C Online Test together?

Yes, you can combine these tests to assess a wider range of skills. This combination is recommended for a comprehensive evaluation. Refer to the C Online Test for more details.

What are the main coding tests?
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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