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About the test:

The Data Mining Test evaluates candidates on their knowledge of data mining techniques, data preprocessing, association rule mining, classification, clustering, and data visualization using scenario-based MCQs. In addition to these key skills, the test also assesses a candidate's understanding of data warehousing, data cleaning, and big data technologies.

Covered skills:

  • Data Processing
  • Introduction to Data Mining
  • Data Warehouse and OLAP Technology
  • Data Preprocessing
See all covered skills

9 reasons why
9 reasons why

Adaface Data Mining Test is the most accurate way to shortlist Data Mining Analysts

Reason #1

Tests for on-the-job skills

The Data Mining Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates.

The Adaface Data Mining Online Test screens candidates for the typical skills recruiters look for Data Mining Analyst roles:

  • Understanding of data mining models, structures, theories, principles, and practices
  • Knowledge of data modeling tools
  • Familiarity with data preparation, processing, classification, and forecasting
  • Experience using relational database servers
  • Experience with data management techniques
  • Experience in Project management
  • Good understanding of the organization’s goals and objectives
  • Knowledge of applicable data privacy practices and laws

The insights generated from this assessment can be used by recruiters and hiring managers to identify the best candidates for Data Mining Analyst roles. Anti-cheating features enable you to be comfortable with conducting assessments online. The Data Mining Online Test is ideal for helping recruiters identify which candidates have the skills to do well on the job.

Reason #2

No trick questions

no trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface ->
Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

Reason #4

1200+ customers in 75 countries

customers in 75 countries


Brandon Lee, 人々の頭, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Data Mining Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Data Mining Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

invite candidates
Reason #7

Detailed scorecards & comparative results

Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

test completion rate
Reason #9

Advanced Proctoring

About Data Mining Analyst/Specialist Roles

A Data Mining Analyst converts data into information, information into insight, and insight into business choices. They analyse, discover, and analyse data attributes using statistical tools in order to offer recommendations and innovative solutions that enhance operations and support their organization's business objectives.

Typical Data Mining Analyst/Specialist responsibilities include:

  • Performing strategic data analysis and research
  • Identifying opportunities to improve productivity via sophisticated statistical modeling
  • Looking at user behaviors to find common patterns or trends that may be used to improve a product’s performance
  • Interpreting results and identifying opportunities for improvements
  • Communicating recommendations to stakeholders and/or clients

What roles can I use the Data Mining Test for?

  • Data Mining Analyst
  • Data Mining Specialist

What topics are covered in the Data Mining Test?

Knowledge Discovery

Evolution Analysis
Deviation Analysis
Decision Tree Classifier
Bayesian Classification
Fuzzy Logic
Neural Networks
Backpropagation Network
Genetic Algorithm
Classification Accuracy
Supervised Learning
Unsupervised Learning
Data Mining Query Language
Data Warehousing
Data Purging

Online Analytical Processing


Online Transaction Processing

Association Algorithm
Tree Pruning
Chameleon Method
Standardized Coefficients
Unstandardized Coefficients
Principal Component Analysis
Factor Analysis
Hypothesis Testing
Univariate Analysis
Bivariate Analysis
Multivariate Analysis
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採用マネージャーは、パネルのインタビュー中に尋ねた技術的な質問を通して、どの候補者がより良いスコアを持っているかを知ることができ、得点しなかった人と差別化することができたと感じました。彼らです 非常に満足しています 候補者の品質は、ADAFACEスクリーニングで最終候補になりました。







  • グーグル不可能な質問
  • IP監督
  • Webの提案
  • ウェブカメラの監督
  • 盗作の検出
  • 安全なブラウザ












customers across world
Join 1200+ companies in 75+ countries.
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Ready to use the Adaface Data Mining Test?
Ready to use the Adaface Data Mining Test?
40 min tests.
No trick questions.
Accurate shortlisting.
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