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Full Stack Engineer

No gist provided
Proficiency Level
Beginner-Expert
Experience
0-8 years
Duration
60 mins
Rudransh Tripathi
Unknown
Unknown
Use This Template

Use Case

No use case provided

Skills Covered

System Design
Algorithm Design
NodeJS
Blocking vs Non-Blocking
Medium
IT-Programming Languages/Frameworks
L2
+12 more
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About

Full Stack Engineer

No test description provided
Target Audience
No targetAudience provided
Prerequisites
No prerequisites provided
Test Overview
Duration
60 mins
Questions
12
Passing Score
70%

Questions

Build a blog app using MERN Stack
API Design
API Design
CRUD Operations
Express.js
Node.js
React.js
What this question evaluates
This task assesses the candidate's ability to work with the full stack, from backend to frontend, by building a simple blog application. It tests knowledge of Node.js, Express.js, React.js, creating RESTful APIs, and implementing CRUD operations.
Type:
Programming
Difficulty:
Hard
Time:
50 mins
Attempts:
100+
Success Rate:
70.01%
Build a Cricket Team Building App using Angular
Angular services
Angular services
CRUD operations
Programming Logic
TypeScript
User Interface design
What this question evaluates
This task evaluates the candidate's skills in developing an Angular application. It tests understanding of Angular services, CRUD operations, and application of logic to meet specific requirements.
Type:
Programming
Difficulty:
Medium
Time:
30 mins
Attempts:
100+
Success Rate:
70.01%
Obtain the details of products
Databases
Databases
Normalization
Query Optimization
Relational Database Management Systems
Table Joins
What this question evaluates
This question evaluates the candidate's understanding of SQL syntax and query formulation, particularly in the context of table joins and fetching related data from multiple tables.
Type:
Programming
Difficulty:
Medium
Time:
0.75 mins
Attempts:
100+
Success Rate:
70.01%
Inheriting a class using public derivation
Classes
Classes
Diamond problem
L3
OOPS
What this question evaluates
This question evaluates the candidate's understanding of multiple inheritance and how ambiguity problems can arise when accessing methods of a base class through derived classes. It tests the candidate's knowledge of virtual inheritance as a solution to resolve the ambiguity problem.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Using stacks to create an optimal substructure
Data Structures
Data Structures
L2
Stack operations
Stacks
What this question evaluates
This question tests the candidate's understanding of stack data structure and its basic operations. It evaluates their ability to analyze a sequence of operations and determine the final state of the stack.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
A function that calls another function
Function Definition
Function Definition
Function constructor
JavaScript
L2
What this question evaluates
This question evaluates the candidate's understanding of JavaScript functions and their syntax. It tests the candidate's ability to correctly define a function that calculates the product of two numbers, as well as their knowledge of different ways to define functions in JavaScript.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Three rods, A, B and C
Algorithms
Algorithms
Problem Solving
Rules Application
Stack Manipulation
Tower of Hanoi
What this question evaluates
This question evaluates the candidate's understanding of recursion, algorithms, and problem-solving in the context of the classic Tower of Hanoi problem.
Type:
Programming
Difficulty:
Medium
Time:
1.25 mins
Attempts:
100+
Success Rate:
70.01%
Using hash table with separate chaining
Data Structures
Data Structures
Hash Table
L3
Self-balancing binary search tree
What this question evaluates
This question evaluates the candidate's understanding of data structures and their impact on time complexity. It requires knowledge of hash tables with separate chaining and the ability to identify data structures that can bring down the theoretical worst-case time complexity to O(log n).
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Understanding virtual constructors and destructors
C++
C++
Computer Science Concepts
Java
Python
Understanding of Constructors and Destructors
What this question evaluates
This question evaluates the candidate's understanding of virtual constructors and destructors in the context of object-oriented programming.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Freed up to handle other requests
Blocking vs Non-Blocking
Blocking vs Non-Blocking
L2
NodeJS
What this question evaluates
This question evaluates the candidate's understanding of web server request handling and performance optimization. It focuses on their knowledge of different types of operations and their effect on freeing up resources to handle other requests.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Searching an element in an array
Array Manipulation
Array Manipulation
Binary Search
Logical Reasoning
Pseudocode
Recursive Functions
What this question evaluates
This question evaluates the candidate's ability to comprehend pseudocode, understand binary search algorithms, and fill in a missing piece of code for an element search function.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Working with highly maintainable applications
Design principles
Design principles
L1
Solid
System Design
What this question evaluates
This question evaluates the candidate's understanding of software design principles and their impact on the maintainability of an application. It assesses the knowledge of design principles related to coupling and cohesion and the ability to identify the most appropriate principle for achieving high maintainability.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
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Focus Rate
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Candidate
Passed
85%
AI Summary
Skills Performance
Score
System Design
87%
Algorithm Design
80%
NodeJS
85%
Blocking vs Non-Blocking
82%
Areas of Improvement
Review
Blocking vs Non-Blocking
Practice
Algorithm Design
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