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Business Intelligence Developer Assessment Test

This Business Intelligence Developer test evaluates candidates on essential skills such as Data Analysis, ETL Processes, Programming Logic, Debugging, SQL Proficiency, Data Modeling, BI Tools, Data Warehousing, and Data Visualization. It is designed for roles like Business Intelligence Developer and ETL Developer.

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

Use Case

  • Evaluates data analysis, modeling, and ETL processing skills.
  • Assesses SQL proficiency for effective database management.
  • Tests hands-on programming logic and debugging capabilities.
  • Identifies candidates with advanced BI tool knowledge.

Skills Covered

Data Analysis
SQL Proficiency
Data Modeling
BI Tools
Data Visualization
ETL Processes
Data Warehousing
+9 more

About

Business Intelligence Developer Assessment Test

This Business Intelligence Developer test is designed to assess candidates on key competencies required for roles such as Business Intelligence Developer and ETL Developer. The test covers a wide range of skills including Data Analysis, ETL Processes, Programming Logic, Debugging, SQL Proficiency, Data Modeling, BI Tools, Data Warehousing, and Data Visualization. It aims to identify individuals who can effectively manage and analyze data, create robust data models, and utilize BI tools to drive business insights. This assessment is ideal for organizations looking to evaluate the technical and analytical capabilities of potential hires in the field of business intelligence.

Target Audience

Business Intelligence Developer, ETL Developer

Prerequisites
  • Strong understanding of data analysis techniques
  • Familiarity with ETL processes and tools
  • Proficiency in SQL and database management
  • Experience with data modeling concepts
  • Knowledge of BI tools and their applications
  • Ability to debug and optimize code
  • Understanding of data warehousing principles
  • Skills in data visualization and reporting
Test Overview
Duration
30 mins
Questions
12
Passing Score
70%

Questions

Data Normalization
Data Analysis
Data Analysis
Normalization
Data Preprocessing
What this question evaluates
This question assesses the candidate's understanding of data normalization in the context of data analysis. It evaluates knowledge of standardizing data, improving machine learning model performance, and enhancing data consistency.
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
SQL Query for Sales Data Analysis
SQL
SQL
Data Analysis
Business Intelligence
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Star Schema in Data Warehousing
Data Modeling
Data Modeling
Data Warehousing
Star Schema
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding BI Tool Features
Business Intelligence
Business Intelligence
Data Analytics
Dashboards
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Choosing the Right Data Visualization
Data Visualization
Data Visualization
Business Intelligence
Data Analysis
Sales Trends
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
ETL Process Optimization
ETL
ETL
Data Transformation
Orchestration Layer
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Hard
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding Fact Tables in Data Warehousing
Data Warehousing
Data Warehousing
Business Intelligence
Data Analysis
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Calculate Total Revenue by Store
Data Analysis
Data Analysis
SQL
Data Aggregation
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Understanding ETL Processes
ETL
ETL
Data Transformation
Data Processing
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Intermediate Data Modeling Concept
Data Modeling
Data Modeling
Data Warehousing
Fact Tables
What this question evaluates
No description provided
Type:
Programming
Difficulty:
Medium
Time:
2 mins
Attempts:
100+
Success Rate:
70.01%
Fix the code to find sum of absolute differences between the squares of consecutive odd numbers
Array Manipulation
Array Manipulation
Mathematical Operations
Problem Solving
Programming Language Proficiency
Understanding Function Logic
What this question evaluates
This question tests the candidate's ability to detect and resolve bugs in function logic related to mathematical operations and array manipulation.
Type:
Programming
Difficulty:
Medium
Time:
15 mins
Attempts:
100+
Success Rate:
70.01%
Table Tennis Game Logic
Basic Math
Basic Math
Control Flow
L1
Logical Thinking
Problem Solving
What this question evaluates
This question assesses the candidate's understanding of basic algorithm design and control flow in programming. It tests logical thinking skills and the ability to visualize and handle different scenarios in a sports game context.
Type:
Programming
Difficulty:
Medium
Time:
30 mins
Attempts:
100+
Success Rate:
70.01%
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Dashboard mockup
Diego Morales
Candidate
Passed
85%
AI Summary
Skills Performance
Score
Data Analysis
87%
SQL Proficiency
80%
Data Modeling
85%
BI Tools
82%
Areas of Improvement
Review
BI Tools
Practice
SQL Proficiency
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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Retention-Focused Features
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Access to WeCP AI Copilot to save cost, time and improve outcomes
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