• Exam Breakdown
  • Domain Breakdown
  • Access Breakdown

Exam Format

  •  Exam Code: PR000005
  •  Certification Level: Specialist / Professional
  • Exam Duration: 90 minutes
  •  Passing Score: Typically around 70% (may vary by provider)
  •  Unscored Content: The exam may include experimental questions that do not affect the final score.

Exam Details

  •  Question Types: Multiple choice, scenario-based questions
  •  Number of Questions: Approximately 60 questions
  •  Hands-On Questions: The exam focuses on development concepts, data quality rules, and implementation scenarios rather than lab-based tasks.

Exam Policies

  •  Offline Proctoring: Available through authorized testing centers
  •  Online Proctoring: Available through vendor-approved remote proctoring platforms
  •  Waiting Period: Typically requires a waiting period after a failed attempt (varies by provider) Retake Fee: Full exam fee must be paid for each retake

Certification Validity and Renewal

  • Validity: 2–3 years (depending on certification provider policies)
  • Renewal Options: Recertification may require passing the latest version of the exam or completing updated training.

Exam Fee

  •  Base Fee: $200 USD (excluding taxes)
  •  Taxes: Country-specific VAT may apply
  •  Example: In India, 18% tax applies, making the total $236 USD ($200 + $36 tax)

Prerequisites

There are no strict mandatory prerequisites for taking the Data Quality 9.x Developer Specialist exam. However, it is recommended to have:
  •  Basic understanding of data management and database concepts
  •  Experience with data quality tools (e.g., Informatica Data Quality)
  •  Knowledge of ETL processes and data integration
  •  Understanding of data profiling, cleansing, and standardization techniques

Exam Topics

  •  Data Profiling and Data Analysis
  •  Data Cleansing and Standardization Techniques
  •  Data Matching and Deduplication
  • Rule Development and Data Validation
  •  Data Quality Monitoring and Reporting
These topics focus on implementing and managing data quality processes to ensure data accuracy, consistency, and reliability in enterprise systems.

Intended Audience

The Data Quality 9.x Developer Specialist certification is ideal for professionals working in data and analytics roles such as:
  •  Data Quality Developer
  •  ETL Developer
  •  Data Engineer
  •  Data Analyst
  •  Data Governance Specialist

Career Impact

Jobs You Can Get:
  • Data Quality Developer, Data Engineer, ETL Developer, Data Analyst
Average Salary:
  • Varies by country — U.S.: $85,000–$130,000 USD,
  • India: ₹6,00,000–₹15,00,000 INR,
  • United Kingdom: £40,000–£70,000 GBP,
  • UAE: 150,000–280,000 AED per year.
 Why It’s Valuable:
  • Demonstrates expertise in data quality processes, ensuring reliable data for analytics, reporting, and business decision-making.

Exam Mode

The exam is proctored and can be taken:
  • In-person at authorized test centres
  •  Online through vendor-approved remote proctoring platforms

Exam Booking Link

  • Book your Data Quality Exam via official certification provider portal — Click here
    (Official vendor-specific booking portal varies depending on certification provider)

Once you pass the exam

  •  Download your certification from the official certification portal
  •  Processing Time: Certification is typically available within a few days after passing the exam
  •  Log in to the certification portal
  •  Navigate to the Certifications section
  •  Download your certificate and digital badge

Offers

Prepare with actual exam questions

To strengthen your knowledge and approach exam day with confidence. We provide practice questions to help you understand the exam format and question patterns.

Access the Real Exam Questions

Contact our consultant today for personalized guidance.

    Why Atmic networks?

    • Atmic Networks is a trusted global provider of professional IT training and certification mentorship.
    • We deliver regularly updated, industry-relevant content tailored to real-world demands.
    • Our expert mentors bring hands-on experience to guide your learning journey.
    • Our clients consistently achieve high success rates in their certification exams.
    • Enjoy instant access to high-quality digital learning materials.
    • We offer dedicated 24/7 customer support to assist you whenever you need it.

    Top Reasons to Choose
    Data Quality 9.x Developer Specialist

    Growing Demand for Data Quality Professionals

    Organizations rely on accurate, consistent, and reliable data for decision-making, increasing demand for professionals skilled in data profiling, cleansing, validation, and enterprise data quality management solutions.

    Hands-On Expertise in Data Quality Tools

    This certification validates practical skills in implementing data quality processes, including profiling, standardization, matching, and monitoring using enterprise data quality platforms and tools.

    Career Growth in Data Engineering and Analytics

    Data quality is critical for analytics and business intelligence. Certified professionals gain opportunities in data engineering, ETL development, and data governance roles across modern data-driven organizations.

    Top Certifications

    Add Review

    Your email address will not be published

    Customer review

    • (3)
    4.5/5.0
    5
    10
    4
    5
    3
    3
    2
    3
    1
    3

    No reviews yet for this exam.

    FAQ

    • Who should take the Data Quality 9.x Developer Specialist exam?

      The certification is designed for data professionals such as data engineers, ETL developers, and data quality specialists responsible for ensuring data accuracy and consistency. It is also suitable for analysts and developers working with enterprise data quality tools and looking to validate their expertise in data management practices.

    • How difficult is the Data Quality 9.x Developer Specialist exam?

      The exam is considered moderate in difficulty. Candidates must understand data profiling, cleansing techniques, validation rules, and data integration concepts. Professionals with hands-on experience in data quality tools typically find the exam manageable, while beginners may require additional preparation and practical exposure.

    • Why does this certification exist?

      The certification is offered to validate the skills required to manage and improve data quality in enterprise environments. As organizations rely heavily on data-driven decision-making, professionals must ensure data accuracy, consistency, and reliability, making this certification valuable for data management and governance roles.

    • What tools and resources can be used to prepare for the exam?

      Candidates can prepare using official training materials, documentation, and hands-on labs provided by the certification vendor. Practical experience with data profiling, cleansing, and validation tools is highly recommended. Studying real-world data quality scenarios also helps improve readiness for the certification exam.

    • Is the Data Quality 9.x Developer Specialist certification valuable in 2026?

      Yes, the certification remains valuable in 2026 as organizations increasingly rely on high-quality data for analytics and decision-making. Professionals who can ensure data accuracy, consistency, and governance are in strong demand across data engineering, analytics, and business intelligence domains.