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Fullstack Developer (Flask + Angular + MongoDB)

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Proficiency Level
Beginner-Expert
Experience
0-8 years
Duration
70 mins
WeCP Verified
WeCP
Subject Matter Expert
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Use Case

  • Evaluates understanding of Flask for backend development fundamentals.
  • Assesses knowledge of MongoDB commands and operations.
  • Tests ability to develop full-stack web applications with Angular and Flask.
  • Identifies top talent for backend developer roles (0-3 years experience).

Skills Covered

Flask
MongoDB
MCQs(Single Correct)
MongoDB Shell
Verified
IT-Programming Languages/Frameworks
Medium
+3 more

About

Fullstack Developer (Flask + Angular + MongoDB)

No test description provided
Target Audience
No targetAudience provided
Prerequisites
No prerequisites provided
Test Overview
Duration
70 mins
Questions
11
Passing Score
70%

Questions

Using a centralized approach
App Structure
App Structure
Code Organization
Coding Best Practices
Route Handling
Views
What this question evaluates
This question evaluates the candidate's understanding of the Flask web framework and its centralized approach to route handling. It tests the ability to restructure code for better organization and maintenance.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
URL Building in Flask
Flask Framework
Flask Framework
Python
URL Construction
URL Routing
Web Application Development
What this question evaluates
This question examines the candidate's understanding of building URLs in Flask using the url_for() function instead of hard-coding URLs into templates and the reasons for doing so.
Type:
Programming
Difficulty:
Medium
Time:
1.25 mins
Attempts:
100+
Success Rate:
70.01%
Exporting environment variables
Application Development
Application Development
Debugging
Development Practices
Flask
Python
What this question evaluates
This question evaluates the candidate's understanding of the Flask environment variables and how they impact an application in the development phase.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Placing cached decorators
Caching
Caching
Decorators
Python
View Functions
Web Development
What this question evaluates
This question evaluates the candidate's familiarity with Flask web application framework, specifically on using decorators, such as Flask cached decorator, for view functions.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Stopping auto reloads
Application Configuration
Application Configuration
Command-line Interface
Debugging
Flask
Web Application Deployment
What this question evaluates
This question evaluates the candidate's knowledge of Flask, a popular web framework, specifically focusing on the command-line interface and application execution options.
Type:
Programming
Difficulty:
Easy
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Using blueprints
Application modularization
Application modularization
Flask blueprints
Flask extensions
Software design patterns
What this question evaluates
This question evaluates the candidate's understanding of Flask's blueprints and their usage in different scenarios. It tests the ability to identify appropriate applications of blueprints and familiarity with Flask extensions.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Rendering contents of a block
Flask
Flask
Jinja2 Templating
Python
Syntax
Template Inheritance
What this question evaluates
This question evaluates the candidate's understanding of Flask template inheritance, focusing on rendering content from parent templates within child templates.
Type:
Programming
Difficulty:
Medium
Time:
0.75 mins
Attempts:
100+
Success Rate:
70.01%
Demonstrating a factory
Command-line arguments
Command-line arguments
Environment variables
Flask application factories
Flask configuration
Python
What this question evaluates
This question evaluates the candidate's knowledge of Flask application configuration, specifically focusing on setting up application factories in Python.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
MongoDB Command for retrieving logs
Database Management
Database Management
Error Debugging
Logs
Query Syntax
Shell Commands
What this question evaluates
This question evaluates the candidate's knowledge of MongoDB shell commands, with a focus on retrieving log information using the correct syntax.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
MongoDB Operations for bulkWrite() method
Bulk Operations
Bulk Operations
Database Management
Database Operations
Insert Operations
Update Operations
What this question evaluates
This question assesses the candidate's knowledge of MongoDB operations, specifically focusing on bulkWrite() method and its associated actions.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Build a notes application using Flask, Angular and MongoDB
Angular
Angular
Backend Development
CRUD Application
Flask
Frontend Development
What this question evaluates
This question assesses the candidate's skills in building a CRUD application using Flask, Angular, and Mongo. It evaluates the candidate's understanding of full-stack development on Python + Angular stack.
Type:
Programming
Difficulty:
Medium
Time:
60 mins
Attempts:
100+
Success Rate:
70.01%
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Leila Cohen
Candidate
Passed
85%
AI Summary
Skills Performance
Score
Flask
87%
MongoDB
80%
MCQs(Single Correct)
85%
MongoDB Shell
82%
Areas of Improvement
Review
MongoDB Shell
Practice
MongoDB
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Action Items
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Retention-Focused Features
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Advance compliance, security and audits
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Proactive support from WeCP Team
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Access to WeCP AI Copilot to save cost, time and improve outcomes
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