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ETL Assessment Test

This ETL test evaluates candidates' proficiency in SQL and ETL concepts, essential for roles like BI Developer, Data Analyst, and Data Engineer. It assesses their ability to design, implement, and manage data pipelines, ensuring data integrity and efficiency in processing large datasets.

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

  • Evaluates proficiency in ETL concepts and data warehousing activities.
  • Tests ability to transform, load, and process data efficiently.
  • Assesses knowledge of data extraction techniques and tools.
  • Identifies top talent in SQL querying for data aggregation and retrieval.

Skills Covered

ETL Concepts
Easy
L2
Artificial Intelligence/Data Science
Verified
MCQs(Single Correct)
Data Transformation
+7 more

About

ETL Assessment Test

This ETL test is designed to assess candidates' expertise in SQL and ETL concepts, crucial for roles such as Business Intelligence Developer, Data Analyst, and Data Engineer. The test evaluates the ability to design, implement, and manage efficient data pipelines, ensuring data integrity and optimal performance in processing large datasets. Candidates will be tested on their understanding of data transformation, loading processes, and their ability to troubleshoot and optimize ETL workflows. This assessment is ideal for identifying individuals who can effectively handle complex data environments and contribute to data-driven decision-making processes.

Target Audience

The ETL assessment is suitable for evaluating candidates for roles such as Business Intelligence Developer, Data Analyst, and Data Engineer.

Prerequisites
  • Strong understanding of SQL and database management systems
  • Familiarity with ETL tools and processes
  • Experience in data modeling and schema design
  • Knowledge of data warehousing concepts
  • Ability to troubleshoot and optimize ETL workflows
  • Understanding of data transformation and loading processes
  • Proficiency in handling large datasets and ensuring data integrity
Test Overview
Duration
40 mins
Questions
16
Passing Score
70%

Questions

Data Loading Methods
Batch Processing
Batch Processing
Cloud-based Loading
Data Loading
Data Loading Methods
Data Management
What this question evaluates
This question assesses the candidate's knowledge of data loading methods and their suitability for different scenarios. It evaluates understanding of cloud-based loading, batch processing, and open-source options for loading large volumes of data.
Type:
Programming
Difficulty:
Easy
Time:
0.75 mins
Attempts:
100+
Success Rate:
70.01%
Data Warehouse Activities
Complete Reloads
Complete Reloads
Data Loading
Data Warehousing
Incremental Changes
Table Deletion and Reload
What this question evaluates
This question tests the candidate's understanding of data warehousing and the activities that must be performed after the initial load. It assesses knowledge of incremental changes, complete reloads, and table deletion and reload. The candidate must identify the correct activities that need to be performed.
Type:
Programming
Difficulty:
Easy
Time:
0.75 mins
Attempts:
100+
Success Rate:
70.01%
Applying functions to extracted data
Data Transformation
Data Transformation
ETL Concepts
L2
What this question evaluates
This question evaluates the candidate's understanding of data processing and transformation. It tests their knowledge of the concept of direct move or pass through data, which means that the data does not require any transformation and cannot be customized.
Type:
Programming
Difficulty:
Easy
Time:
0.75 mins
Attempts:
100+
Success Rate:
70.01%
Categorical to Numerical
Aggregation
Aggregation
Categorical Data
Data Transformation
Data Transformation Techniques
Normalization
What this question evaluates
This question assesses the candidate's knowledge of data transformation techniques and their ability to convert categorical data into numerical values.
Type:
Programming
Difficulty:
Easy
Time:
0.75 mins
Attempts:
100+
Success Rate:
70.01%
Incremental Load Strategy
Data Loading
Data Loading
Data Loading Speed
Data Reloading Intervals
Data Warehouse Loading Strategies
Data Warehousing
What this question evaluates
This question assesses the candidate's understanding of data warehouse loading strategies and their knowledge of the steps involved in an incremental load strategy. It evaluates the candidate's familiarity with concepts such as referential integrity, data reloading intervals, and data loading speed.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Hierarchical Data Transformation
Data Analysis
Data Analysis
Data Manipulation
Data Structure Analysis
Data Transformation
Flattening
What this question evaluates
This question tests the candidate's knowledge of hierarchical data analysis and the transformation techniques commonly used to flatten the data structure.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Loading transformed data into the target data warehouse
Data Loading
Data Loading
ETL Concepts
L2
What this question evaluates
This question evaluates the candidate's understanding of different types of data loading techniques in a data warehouse environment. It requires knowledge of incremental loading, initial loading, full refresh, and dynamic loading.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Data Load Architecture Selection
Big Data Analysis
Big Data Analysis
Data Loading
Data Loading Architectures
Full Load
Incremental Batch Load
What this question evaluates
This question assesses the candidate's knowledge and understanding of data loading architectures in big data analysis. It tests their ability to select the appropriate load architecture design based on specific requirements, such as inserting data when new data emerges.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Adding complex extraction logic
Data Extraction
Data Extraction
ETL Concepts
L2
What this question evaluates
This question evaluates the candidate's understanding of various extraction methods and their application in different contexts. It tests their ability to identify the appropriate extraction method based on the requirement of adding complex extraction logic to the source system.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Data Load Architecture Recommendation
Batch Load
Batch Load
Data Engineering
Data Loading
Data Loading Architectures
Data Warehousing
What this question evaluates
This question assesses the candidate's knowledge of data loading architectures and their suitability for different scenarios.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Using an extraction tool
Data Capture
Data Capture
ETL Concepts
L2
What this question evaluates
This question evaluates the candidate's understanding of different types of extraction tools and their ability to meet specific goals. It requires knowledge of data capture tools, physical extraction tools, and logical extraction tools, as well as the ability to analyze and compare different tool options based on their ability to achieve specific objectives.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Currency Standardization
Currency Symbol Standardization
Currency Symbol Standardization
Custom Scripting
Data Extraction
Data Extraction and Standardization
Data ExtractionData Mapping
What this question evaluates
This question assesses the candidate's knowledge of data extraction and currency symbol standardization in a global retail company. It evaluates the candidate's understanding of techniques for standardizing currency symbols during data extraction.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
ETL Challenge
Continuous Data Flow
Continuous Data Flow
Data Consistency
Data Engineering
Data Storage Optimization
Data Transformation
What this question evaluates
This question assesses the candidate's understanding of the challenges involved in implementing an ETL process for real-time data transformations. It evaluates their knowledge of the primary challenge faced by organizations in handling continuous flows of data.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Data Transformation Decision
Business Needs
Business Needs
Data Engineering
Data Extraction
Data Gap Recording
Data Splitting
What this question evaluates
This question assesses the candidate's ability to choose appropriate data transformation types based on business needs. It evaluates their understanding of data splitting, target table schema identification, recording data gaps, and implementing changes to bridge gaps.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Data Extraction in ETL
Data Extraction
Data Extraction
Effective Data Change Capture
Efficient Handling of Source Volume
Impact of Data Retrieval
What this question evaluates
This question assesses the candidate's understanding of data extraction during data ETL (Extract, Transform, Load) process. It evaluates their knowledge of the impact of retrieving information from the source system/database, handling source volume efficiently, and capturing changes in data effectively.
Type:
Programming
Difficulty:
Medium
Time:
1 mins
Attempts:
100+
Success Rate:
70.01%
Finding total number of employees
Aggregation
Aggregation
Date comparison
Filtering
Group by
Joining tables
What this question evaluates
This question evaluates the candidate's ability to write SQL queries for aggregating data, filtering results, and joining tables to retrieve required information related to departments and their employees.
Type:
Programming
Difficulty:
Medium
Time:
20 mins
Attempts:
100+
Success Rate:
70.01%
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Question Types

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Scoring Rules

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Time Settings

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Candidate Experience

Interactive coding environment with real-time feedback
Clear instructions and test cases for each question
Built-in code editor with syntax highlighting
Immediate evaluation of submissions
Progress tracking throughout the assessment
Detailed explanations for correct answers
Time management tools to help pace yourself

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Dashboard mockup
Sofia Rossi
Candidate
Passed
85%
AI Summary
Skills Performance
Score
ETL Concepts
87%
Easy
80%
L2
85%
Artificial Intelligence/Data Science
82%
Areas of Improvement
Review
Artificial Intelligence/Data Science
Practice
Easy
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

Freemium
US$ 0
5 credits / mo
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Conduct face to face interviews
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Standard compliance, security and audits
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Standard support from WeCP Team
Premium
US$ 240
40 credits / mo
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Add-on credit at $8/credit
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Comprehensive Assessment Capabilities
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Advance Skill Analytics
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Learning & Development Integration
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Employee Friendly User Experience
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Retention-Focused Features
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Advance compliance, security and audits
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Proactive support from WeCP Team
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Access to WeCP AI Copilot to save cost, time and improve outcomes
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Candidate Skills
US$ 100
10 credits / mo + 1 seat
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Add-on seat at $8 /seat
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Add-on credit at $10 /credit
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Use Prebuilt Questions
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Standard Cheat Prevention
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Smooth Candidate Experience
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Skill fit candidates
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Conduct face to face interviews
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ATS Integrations
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Standard compliance, security and audits
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Standard support from WeCP Team
Freemium
US$ 0
60 credits / yr
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Use Prebuilt Questions
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Standard Cheat Prevention
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Smooth Candidate Experience
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Skill fit candidates
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Conduct face to face interviews
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ATS Integrations
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Standard compliance, security and audits
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Standard support from WeCP Team
Premium
US$ 2388
500 credits / yr
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Add-on credit at $8 /credit
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Comprehensive Assessment Capabilities
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Advance Skill Analytics
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Learning & Development Integration
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Employee Friendly User Experience
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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
Enterprise
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