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About the test:

The Informatica Data Quality online test evaluates a candidate's knowledge and skills in various aspects of data quality management. It covers topics such as data profiling, data cleansing, data standardization, duplicate detection, data monitoring, data validation, data enrichment, data governance, and data integration.

Covered skills:

  • Data Masking
  • Data Generation
  • Sequence Data Generation
  • Data Quality
  • Data Cleansing
  • Duplicate Detection
  • Data Enrichment
  • Data Subset
  • Rule Simulator
  • Dictionary Data Generation
  • Data Profiling
  • Data Standardization
  • Data Validation

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9 reasons why
9 reasons why

Adaface Informatica Data Quality Test is the most accurate way to shortlist Informatica Data Quality Developers

Reason #1

Tests for on-the-job skills

The Informatica Data Quality Online 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 at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Able to perform Data Masking to protect sensitive information
  • Capable of generating realistic and representative Data Subsets
  • Proficient in generating large volumes of realistic test data using Data Generation techniques
  • Able to simulate and test complex data validation rules using Rule Simulator
  • Knowledge of generating sequential data using Sequence Data Generation
  • Familiarity with creating test data based on dictionary values using Dictionary Data Generation
  • Skilled in identifying and resolving data quality issues using Data Quality tools
  • Capable of profiling data to understand its structure, content, and completeness using Data Profiling techniques
  • Experienced in cleansing and transforming data to improve its quality
  • Knowledge of standardizing data to ensure consistency and compliance
  • Competent in detecting and handling duplicate records in data sets
  • Able to validate data against predefined rules and criteria
  • Proficient in enriching data with additional information or attributes
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.

View sample questions

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
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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.

How we design questions
Reason #4

1200+ customers in 75 countries

customers in 75 countries

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!

Brandon Lee, Head of People, Love, Bonito

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Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Informatica Data Quality 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.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Informatica Data Quality 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.

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Reason #7

Detailed scorecards & benchmarks

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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

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About the Informatica Data Quality Assessment Test

Why you should use Pre-employment Informatica Data Quality Online Test?

The Informatica Data Quality Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Data masking techniques to protect sensitive information
  • Creating smaller, representative subsets of larger datasets
  • Ability to create realistic test data for various scenarios
  • Proficiency in simulating and testing data quality rules to ensure accuracy
  • Skill in generating sequential or ordered test data
  • Ability to generate test data based on a predefined dictionary
  • Understanding of data quality concepts and techniques
  • Skill in identifying and correcting errors or inconsistencies in data
  • Proficiency in applying standardization rules to ensure consistent data

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Informatica Data Quality Online Test?

  • Data Masking

    Data masking is the process of replacing sensitive information with fictitious data, while preserving the overall structure, usability, and functionality of the original data. This skill should be measured in the test to assess the candidate's ability to protect sensitive data and ensure compliance with data security regulations.

  • Data Subset

    Data subset refers to the process of creating a smaller, representative sample of a larger dataset. This skill should be measured in the test to evaluate the candidate's proficiency in extracting relevant subsets of data for analysis or testing purposes, which can help optimize performance and reduce resource requirements.

  • Data Generation

    Data generation involves creating synthetic data that mimics real-world data. This skill should be measured in the test to assess the candidate's capability to generate large volumes of test data for various scenarios, such as performance testing, without relying on production data.

  • Rule Simulator

    A rule simulator is a tool used to test and validate data quality rules and their impact on datasets. This skill should be measured in the test to evaluate the candidate's proficiency in simulating and verifying data quality rules, ensuring the accuracy, completeness, and validity of data.

  • Sequence Data Generation

    Sequence data generation involves generating sequential values, such as unique identifiers or timestamps, in a specific order. This skill should be measured in the test to assess the candidate's ability to generate ordered sequences of data, which can be useful for maintaining data integrity and consistency in various applications.

  • Dictionary Data Generation

    Dictionary data generation is the process of creating data based on predefined lists or dictionaries containing specific values. This skill should be measured in the test to evaluate the candidate's proficiency in generating data that adheres to predefined standards or criteria, facilitating data analysis and comparisons.

  • Data Quality

    Data quality refers to the level of accuracy, completeness, consistency, and reliability of data. This skill should be measured in the test to assess the candidate's understanding of data quality concepts and their ability to identify and address data quality issues, ensuring the reliability and usability of data within an organization.

  • Data Profiling

    Data profiling involves analyzing and understanding the structure, content, and quality of data. This skill should be measured in the test to evaluate the candidate's expertise in accurately assessing data quality, identifying data anomalies, and providing insight into data patterns, which is crucial for making informed data-driven decisions.

  • Data Cleansing

    Data cleansing is the process of identifying and correcting erroneous, incomplete, or irrelevant data. This skill should be measured in the test to assess the candidate's ability to identify and rectify data quality issues, ensuring data accuracy, consistency, and integrity prior to analysis or integration with other systems.

  • Data Standardization

    Data standardization involves transforming data into a consistent and predefined format, typically conforming to specific rules or guidelines. This skill should be measured in the test to evaluate the candidate's proficiency in converting data into a uniform format, facilitating data integration, comparability, and efficient data management.

  • Duplicate Detection

    Duplicate detection is the process of identifying and removing duplicate records within a dataset. This skill should be measured in the test to assess the candidate's ability to develop algorithms or techniques for detecting and eliminating duplicate data, enhancing data accuracy, and reducing redundancy.

  • Data Validation

    Data validation is the process of ensuring that data adheres to predefined rules, constraints, or requirements. This skill should be measured in the test to evaluate the candidate's expertise in validating data against specified criteria, detecting errors or inconsistencies, and ensuring data reliability, integrity, and adherence to business rules.

  • Data Enrichment

    Data enrichment involves enhancing existing data by adding additional information, such as demographics, geolocation, or external datasets. This skill should be measured in the test to assess the candidate's proficiency in augmenting data with valuable insights, improving data completeness, accuracy, and overall quality for better decision-making and analysis.

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Informatica Data Quality Test to be based on.

    Data Masking
    Sensitive Data Protection
    Data Subset Generation
    Test Data Generation
    Data Validation Rules
    Complex Rule Simulation
    Sequential Data Generation
    Dictionary Data Generation
    Data Quality
    Data Profiling
    Data Cleansing
    Data Standardization
    Duplicate Detection
    Data Validation
    Data Enrichment
    Data Quality Assessment
    Data Quality Metrics
    Data Profiling Methods
    Data Cleansing Techniques
    Data Lineage Analysis
    Data Anomaly Detection
    Data Quality Dashboards
    Data Quality Dimensions
    Data Matching Algorithms
    Data Standardization Rules
    Data Validation Techniques
    Data Enrichment Methods
    Data Masking Strategies
    Data Subset Techniques
    Data Generation Algorithms
    Rule Simulation Scenarios
    Sequence Data Generation Patterns
    Dictionary Data Generation Sources
    Duplicate Detection Algorithms
    Data Quality Frameworks
    Data Profiling Tools
    Data Cleansing Software
    Data Standardization Libraries
    Data Validation Tools
    Data Enrichment APIs
    Data Masking Best Practices
    Data Subset Optimization
    Data Generation Performance
    Rule Simulation Accuracy
    Sequence Data Generation Efficiency
    Dictionary Data Generation Customization
    Duplicate Detection Precision
    Data Validation Robustness
    Data Enrichment Integration
    Data Masking Regulations
    Data Profiling Automation
    Data Cleansing Databases
    Data Standardization Models
    Data Validation Frameworks
    Data Enrichment Strategies
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What roles can I use the Informatica Data Quality Online Test for?

  • Informatica Data Quality Developer
  • ETL Developer - Informatica/Data Quality
  • Informatica Data Quality Senior Analyst
  • Informatica Cloud Data Quality (CDQ) Consultant
  • Informatica Data Quality Application Developer

How is the Informatica Data Quality Online Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Identify and handle duplicate records in a dataset
  • Validating data against predefined rules or criteria
  • Enhance existing data with additional information
  • Data governance principles and practices
  • Integrating data from multiple sources
  • Design and maintain data warehousing solutions
  • Understanding of ETL processes and tools
  • Skill in writing complex database queries and scripts
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The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.

reduction in screening time

Informatica Data Quality Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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