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Data Structures Test to hire job-fit programmers with ease

The Data Structures Test is a pre-employment assessment to assess applicants' proficiency in data structures. This technical test provides candidates with a realistic situation and a time limit of 45 minutes to implement a data structure that conforms to the specified requirements.  

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Inside This Data Structures Test

The Data Structure Online Test evaluates candidates’ expertise in software data structures and algorithms. It is best to assess technical competence through data structure exams to avoid wasting precious time interviewing candidates who cannot perform at work. An accomplished software engineer should be well-versed in using proper data structures and algorithms to optimize code that is failsafe when processing large volumes of data.  

The data structure exam requires applicants to solve problems based on arrays, data types, strings, graphs, trees, stacks, etc. This evaluation process involves administering a timed data structure multiple choice questions (MCQs) online test where candidates select the correct solution from the given set of options and proceed to the next problem. 

Competency framework - Data Structure Test

  • Get a detailed look inside the Data Structure Test. 
  • Data Structure Test competencies under scanner 

Arrays: Knowledge of array data structures and how they work within a code is a must-have skill for a software development engineer (SDE). 

Data types: Candidates should clearly understand data types, which is required to describe event and entity properties distinctly.

Strings: String is one of the most used data structures or types in any program. It is one of the most sought-after topics on the data structures and algorithms test. Hence, the test aims to assess their knowledge of fundamental concepts of strings.

Searching and sorting: The search algorithm helps locate an item in a data structure, whereas the sort algorithm assists in arranging items in a particular order. Knowledge of searching and sorting algorithms is immensely crucial for candidates.

Linked list: Linked lists are among the most popular data structures, which are used in every programming language, such as Python, Java, C++, C#, etc. A thorough understanding of linked lists is needed to perform everyday coding tasks.

Graphs: These nonlinear data structures can help resolve exceedingly difficult problems efficiently. An ideal candidate should have gained expertise in graphs to write maintainable code that performs efficiently.

Tree: This nonlinear hierarchical data structure consists of a collection of entities known as nodes. These nodes are linked by edges. It is a specific method to arrange and store data in the system to be utilized more effectively. This data structures test also includes questions that help assess a candidate's knowledge of trees.

Algorithm design techniques: Regardless of the programming language a programmer uses, the knowledge of algorithm design techniques in data structures is crucial for creating scalable systems. A successful candidate should have an idea of algorithm design techniques.

Stacks and queues: These are linear data structures that follow LIFO and FIFO approaches. Understanding these data structures can help work through specific problems effectively.

Heap: Heap is an essential data structure that every programmer should know inside out. The heap data structure finds its use in Priority Queues and Heapsort. In addition, knowledge of heap comes in handy during memory management.

Recursion: Recursion is deconstructing problems into smaller sub-problems to find a solution. Recursive thinking is essential for programmers. A successful candidate should have gained proficiency in this technique.

Hash tables: Hashing is one of the most crucial concepts that every software developer needs to know because it helps optimize code to a considerable extent. 


Data structures are a specialized format for processing, organizing, storing, and retrieving data that helps many enterprises access data efficiently and do the necessary modifications.

Most companies utilize several types of data structures depending on the way that best suits their needs. Data structures represent the implementation part of an abstract data type (ADT). The ADT represents the mathematical model of the data structure that specifies the logical structure of the data type. The data structures help implement the physical form of ADTs. Data structures, being advantageous, are crucial for aspiring programmers/software engineers to succeed in their careers.

The skills and competencies covered in the data structures exam will help recruiters screen out substandard profiles when it comes to identifying top talent. Besides, these exams provide a data-driven way for tech hiring managers to assess a candidate’s data structures skills. Thus, they can focus on the most suitable candidates from a pool of resumes and contribute to more objective decision-making when hiring.


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Frequently Asked Questions (FAQs)

The data structure and algorithms test is a screening tool to assess a candidate's proficiency in data structures or algorithms-based tasks. The test evaluates an applicant's readiness before they appear for an interview or technical test.  

You will be presented with a data structure multiple choice questions (MCQs) online test where candidates will be given some options. They will select the most suitable option/solution for the given question and proceed to the next problem. 

Listed below are some of the most asked questions that might come in handy for your interview preparation: 

  • How would you define data structures and algorithms? 
  • What do you understand about the linked list? 
  • Explain the LIFO and FIFO approaches. 
  • What is the primary application of data structures? 
  • What do you understand by binary trees? 
  • How would you define stack? 
  • What is the primary use of a linked list? 
  • Can you please describe the merge sort? 
  • How would you differentiate between Huffman’s algorithm and the recursive algorithm? 
  • What would be the minimum number of nodes a binary tree can have? 

Given below are some of the crucial topics of DSA for interview: 

  • Arrays 
  • Data types 
  • Strings 
  • Searching and sorting 
  • Linked list 
  • Graphs 
  • Trees 
  • Stacks 
  • Queues 
  • Heaps 
  • Recursion 
  • Algorithm design techniques 
  • Hash tables 

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