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JSF Assessment Test

This JSF test evaluates candidates on essential skills such as JSF Basics, Ajax Integration, Event Handling, Validation and Conversion, Error Handling and Messaging, Security and CSRF Protection, Navigation and Flow Control, UI Component Development, Performance Optimization, and Facelets Templating.

Proficiency Level
Beginner-Expert
Experience
0-8 years
Duration
30 mins
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Use Case

  • Assesses understanding of JSF basics and custom components.
  • Evaluates skills in UI component development and event handling.
  • Tests knowledge of Ajax integration and CSRF protection strategies.
  • Identifies strengths in JSF error handling and performance optimization.

Skills Covered

JSF Basics
UI Component Development
Facelets Templating
Validation and Conversion
Navigation and Flow Control
Event Handling
Ajax Integration
+3 more
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About

JSF Assessment Test

This JSF test is designed to assess candidates on a comprehensive range of skills crucial for developing robust JavaServer Faces applications. It covers fundamental areas such as JSF Basics, Ajax Integration, and Event Handling, ensuring candidates can effectively manage user interactions and asynchronous requests. The test also evaluates proficiency in Validation and Conversion, Error Handling and Messaging, and Security and CSRF Protection, which are vital for maintaining application integrity and user data safety. Additionally, it includes Navigation and Flow Control, UI Component Development, and Performance Optimization to ensure candidates can build efficient and user-friendly interfaces. Lastly, Facelets Templating is assessed to verify candidates' ability to create reusable and maintainable UI components.

Target Audience

This assessment is ideal for roles such as Software Engineer and Frontend Developer, where proficiency in JavaServer Faces is essential for developing dynamic web applications.

Prerequisites
  • Understanding of JavaServer Faces (JSF) framework
  • Familiarity with web development concepts
  • Knowledge of HTML, CSS, and JavaScript
  • Experience with Ajax for asynchronous web applications
  • Basic understanding of web security principles
  • Ability to handle events and manage application flow
  • Proficiency in developing and optimizing UI components
Test Overview
Duration
30 mins
Questions
10
Passing Score
70%

Questions

JSF Performance Optimization
JSF
JSF
Performance Optimization
Hiring
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Hard
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
JSF Error Handling and Messaging Strategies
JSF
JSF
Error Handling
User Experience
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Hard
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Advanced JSF: Enhancing CSRF Protection
JSF
JSF
security
CSRF
web development
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Hard
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
JSF Ajax Integration Considerations
Ajax Integration
Ajax Integration
JavaServer Faces
Performance
Web Application Development
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Hard
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Button Click Event Handling in JSF
JSF
JSF
Event Handling
Button Click
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
JSF Page Navigation
JSF
JSF
Navigation
Managed Beans
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
JSF Input Conversion
JSF
JSF
Validation and Conversion
Java
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Facelets Templating in JSF
JSF
JSF
Facelets
Templating
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
JSF UI Button Action Binding
UI Component Development
UI Component Development
JSF
UI Interaction
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Facelets Custom Component Libraries in JSF
JSF
JSF
Facelets
Custom Component Libraries
What this question evaluates
This question assesses the candidate's understanding of JSF Facelets and custom component libraries. It tests the ability to declare custom components in a JSF Facelets page.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
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Candidate Experience

Interactive coding environment with real-time feedback
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Proctoring & Anti-Cheating

Sherlock AI Agent

Sherlock is more than just a tool, it's your AI test integrity agent. By continuously monitoring and analyzing candidate behavior in real-time, Sherlock ensures a secure and fair testing environment. Using machine learning, it detects suspicious patterns, so you can focus on reliable results while Sherlock handles test integrity.

Live Monitoring

Track behavior with real-time video and audio.

Screen Tracking

Multi-screen detection and continuous screen recording during assessment.

Pattern Analysis

Spot suspicious actions with AI-driven insights.

Access Control

Ensure secure tests with browser lockdown.
Real-time Monitoring
Video Feed
Active
Screen Activity
98%
Focus Rate
95%
Zanele Dlamini
Candidate
Passed
85%
AI Summary
Skills Performance
Score
JSF Basics
87%
UI Component Development
80%
Facelets Templating
85%
Validation and Conversion
82%
Areas of Improvement
Review
Validation and Conversion
Practice
UI Component Development
Skill Assessment
Detailed evaluation of technical skills and problem-solving abilities.
AI Analysis
Machine learning-powered insights into candidate performance patterns.
Benchmarking
Compare results against industry standards and other candidates.
Action Items
Specific recommendations for skill development and improvement.

Pricing Plans

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60 credits / yr
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Frequently Asked Questions

How does AI proctoring work?
Our AI proctoring system, Sherlock, uses advanced machine learning algorithms to monitor candidate behavior in real-time. It analyzes video, audio, and screen activity to detect potential cheating attempts while maintaining candidate privacy.
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Yes! All plans include access to our template library, and you can customize them to match your specific requirements. Professional and Enterprise plans offer additional customization options and the ability to create custom templates from scratch.
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