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MySQL Assessment Test

This MySQL test evaluates candidates' proficiency in database management, querying, and optimization. It is designed to assess their ability to handle complex SQL queries, database design, and performance tuning. The test is ideal for identifying skilled SQL developers.

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

  • Assesses MySQL proficiency: table management, subqueries, JOIN operations.
  • Identifies SQL query optimization skills and error-handling abilities.
  • Measures practical experience through real-world problem-solving scenarios.
  • Helps detect top SQL Developers with strong analytical and coding proficiency.

Skills Covered

MySQL
SUBQUERIES
MCQs(Single Correct)
Medium
Verified
IT-Programming Languages/Frameworks
L2
+5 more
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About

MySQL Assessment Test

This MySQL test is crafted to assess the proficiency of candidates in managing and optimizing databases. It evaluates their skills in handling complex SQL queries, designing efficient database structures, and tuning performance for optimal results. The test is tailored to identify SQL developers who can effectively manage data, ensure data integrity, and optimize database performance. It serves as a comprehensive tool to gauge the candidate's ability to work with MySQL databases in real-world scenarios, ensuring they possess the necessary skills to contribute effectively to any organization.

Target Audience

SQL Developers

Prerequisites
  • Strong understanding of relational database concepts
  • Proficiency in writing complex SQL queries
  • Experience with database design and normalization
  • Knowledge of MySQL performance tuning and optimization
  • Familiarity with data backup and recovery techniques
  • Ability to work with stored procedures and triggers
  • Understanding of database security best practices
Test Overview
Duration
30 mins
Questions
11
Passing Score
70%

Questions

Students enrolled exactly in two courses
Conditional Statements
Conditional Statements
Counting
Data Filtering
Joins
Sub-queries
What this question evaluates
This question tests the candidate's skill in writing MySQL queries to retrieve specific data from a database. It assesses their understanding of table relationships, filtering data based on conditions, and counting the number of occurrences of a value.
Type:
Programming
Difficulty:
Medium
Time:
15 mins
Attempts:
100+
Success Rate:
70.01%
LEFT JOIN IN MySQL
Joins
Joins
L2
MySQL
What this question evaluates
This question tests the candidate's understanding of JOIN operations in SQL, specifically the LEFT JOIN. It requires knowledge of table structures and query syntax. The candidate must identify the conditions that are null rejected based on the given query.
Type:
Programming
Difficulty:
Hard
Time:
1.25 mins
Attempts:
100+
Success Rate:
70.01%
Query Optimization Analysis
Database Indexing
Database Indexing
Query Optimization
SELECT- GROUP BY
SQL Query Writing
Understanding of Key Lookups
What this question evaluates
This question tests the candidate's understanding of databases and how they manage and optimize queries. Specifically, it's about understanding key lookups and how they are used with NULL operators in SQL. It challenges the candidate's ability to analyze SQL queries for optimization.
Type:
Programming
Difficulty:
Hard
Time:
1.25 mins
Attempts:
100+
Success Rate:
70.01%
Queries regarding NULL values in tables
L3
L3
MySQL
SELECT- WHERE
What this question evaluates
This question evaluates the candidate's familiarity with SQL database querying, specifically querying for NULL values in a specific field. It requires understanding of the SELECT statement syntax, the comparison operator 'IS NULL', and the logical operator 'AND'. The candidate must recognize the incorrect usage of '%' wildcard and the correct usage of 'IS NOT NULL' to filter the results.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Using LIKE in queries
L2
L2
MySQL
SELECT- WHERE
What this question evaluates
This question evaluates the candidate's understanding of querying databases using SQL. It specifically tests their knowledge of the LIKE clause and string matching patterns in SQL.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
SQL Query to select all the records
Joins
Joins
L2
MySQL
What this question evaluates
This question evaluates the candidate's understanding of SQL query syntax and joins in MySQL. It requires knowledge of different types of joins, and the ability to identify the correct join to use based on the provided query and table structure.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
SUBQUERIES in MySQL
L3
L3
MySQL
SUBQUERIES
What this question evaluates
This question evaluates the candidate's understanding of subqueries in MySQL and their syntax. It assesses their ability to identify equivalent subqueries in a given context.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
SUBQUERIES in MySQL Query
Database Management
Database Management
Error Handling
Result Interpretation
SQL Queries
Subqueries
What this question evaluates
This question tests the candidate's understanding of MySQL query execution, specifically focusing on subqueries, error handling, and query result interpretation.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Deleting rows from a MySQL table
Data Manipulation
Data Manipulation
Database Management
Database Operations
Joins
L2
What this question evaluates
This question evaluates the candidate's knowledge of MySQL query syntax, specifically focusing on deleting rows from multiple tables using joins. It tests understanding of database management and operations.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
The ALTER TABLE statement
ALTER TABLE
ALTER TABLE
DDL
L1
MySQL
What this question evaluates
This question evaluates the candidate's understanding of MySQL privileges related to table alteration. It requires knowledge of different privileges that are required to perform specific operations on a table in MySQL.
Type:
Programming
Difficulty:
Easy
Time:
0.75 mins
Attempts:
100+
Success Rate:
70.01%
Altering a MySQL table
ALTER Table
ALTER Table
L2
MySQL
Using NULL Values
What this question evaluates
This question evaluates the candidate's understanding of various operations related to table management in a relational database. The main skill being tested is the ability to identify the operation that would have the same effect as dropping all records stored in a partition and reinserting them.
Type:
Programming
Difficulty:
Easy
Time:
0.75 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%
Ivan Petrov
Candidate
Passed
85%
AI Summary
Skills Performance
Score
MySQL
87%
SUBQUERIES
80%
MCQs(Single Correct)
85%
Medium
82%
Areas of Improvement
Review
Medium
Practice
SUBQUERIES
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.

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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.
Can I customise assessment templates?
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.
What type of reports are available?
We provide comprehensive reports including detailed skill assessments, AI-powered behavioral analysis, comparative analytics, and improvement recommendations. Reports can be customized and exported in various formats.
Is the platform suitable for remote hiring?
Absolutely! Our platform is specifically designed for remote hiring with features like secure browser lockdown, AI proctoring, and real-time monitoring. It ensures the same level of assessment integrity as in-person evaluations.
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We implement enterprise-grade security measures including end-to-end encryption, secure data storage, and regular security audits. We comply with GDPR and other major data protection regulations.