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Informatica Data-Quality-10-Developer-Specialist Dumps Questions Answers

Exam Code: Data-Quality-10-Developer-Specialist
Exam Name: Data Quality 10: Developer Specialist Exam
Last Update: Jun 20, 2024
70 Questions
Testing Engine (only)
Format: Testing Engine
PDF + Testing Engine
Format: PDF + Testing Engine
PDF (only)
Format: PDF

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Informatica Data-Quality-10-Developer-Specialist Exam Dumps FAQs

  • Data Quality Concepts
    • Understanding of data quality dimensions, methodologies, and lifecycle; significance in ensuring accurate and reliable business insights.
  • Data Standardization
    • Techniques for cleansing and standardizing data, critical for maintaining consistency across datasets.
  • Address Validation
    • Validation and correction of address data to ensure high-quality location information for businesses.
  • Data Quality Transformations
    • Application of various transformations to improve data quality; essential for effective data integration processes.
  • Matching
    • Duplicate identification techniques; important for creating a single customer view and accurate reporting.
  • Data Quality Services
    • Knowledge of services to monitor, maintain, and enhance the quality of data over time.

Informatica Data Quality 10 Developer Specialist Exam Audience

Target Audience for Informatica Data-Quality-10-Developer-Specialist Exam

The ideal candidate for the Informatica Data-Quality-10-Developer-Specialist exam is:

  • Data management professionals seeking to validate their skills in Informatica Data Quality.
  • Individuals aiming to specialize in data quality solutions and enhance their career prospects.
  • IT consultants who design and implement data quality projects using Informatica tools.

This certification benefits those targeting roles such as:

  • Data Quality Developers
  • Data Analysts
  • Data Stewards
  • ETL Developers

Candidates should possess:

  • A solid understanding of data quality concepts and methodologies.
  • Practical experience with Informatica Developer Tool for data profiling, cleansing, matching, and monitoring.

The exam serves as a benchmark for industry competence, ensuring readiness to tackle complex data quality challenges within various sectors.

Exam Format Details
Type of Questions Multiple Choice, True/False, and Multiple Response
Number of Questions 70 questions
Exam Duration 90 minutes (1.5 hours)
  • A fundamental understanding of Informatica Data Quality (IDQ) methodologies and concepts.
  • Hands-on experience with IDQ tools and techniques is highly recommended.
  • Familiarity with data quality processes, including profiling, cleansing, matching, and monitoring.
  • Prior exposure to Informatica Developer tool for designing and deploying data quality solutions is beneficial.

If you don't pass the Informatica Data-Quality-10-Developer-Specialist exam on your first try, you can retake it. However, there are rules to follow:

  • After an initial failed attempt, you must wait at least 14 days before retaking the exam.
  • If subsequent attempts are needed, a 14-day waiting period is also required between each retake.
  • There's a limit of three attempts within a year (12 months) from your first attempt.
  • Each exam attempt may incur additional fees, so check the current costs with Informatica or authorized testing centers.

Note that these policies can change, so always verify with the official Informatica certification guidelines for the most up-to-date information.

The Data-Quality-10-Developer-Specialist Data Quality certification is typically valid for two years from the date of successful exam completion. To maintain the certification, you must:

  1. Complete the required continuing education credits or
  2. Pass a renewal exam before the expiration of your current certification.

It's crucial to verify with Informatica, as they may update their renewal policies or introduce new requirements.

For those preparing for the Data Quality 10: Developer Specialist Exam, offers an array of study materials specifically designed to help candidates excel. Their resources include:

  • PDF Study Guides: Comprehensive guides that cover all exam topics in detail, providing a solid foundation of knowledge.
  • Testing Engine: Interactive software that simulates the exam environment, allowing for practical experience and self-assessment.

The benefits of using Examstrack study materials are manifold:

  • User-friendly Format: Materials are presented in an easy-to-understand manner, ensuring a smooth study experience.
  • Up-to-Date Content: All resources are regularly updated to reflect the latest exam standards and industry practices.
  • Diverse Learning Tools: With both PDFs and a Testing Engine, students can tailor their learning approach to suit their preferences.

To fully prepare for the Data Quality 10: Developer Specialist Exam, candidates are encouraged to explore these valuable resources at and gain the comprehensive knowledge necessary to succeed.

The ideal study time for the Data-Quality-10-Developer-Specialist exam varies per individual, but a general recommendation is:

  • Begin by assessing your current knowledge and experience with Data Quality concepts.
  • If you're new to the field, consider dedicating 1-2 hours daily over 8-12 weeks.
  • For those with some background, 4-6 weeks of consistent study might suffice.
  • Customize your schedule to allow more time on unfamiliar topics.

Remember, the goal is to feel confident and well-prepared, so adjust your plan according to your learning pace and comfort level with the material.

  • Structured Learning: ExamTrack provides well-organized material that aligns with clear learning objectives, ensuring a comprehensive understanding of the Data Quality 10: Developer Specialist exam topics.
  • Efficient Preparation: The organized multiple-choice questions and answers format enables efficient time management and focused study sessions, aiding in better retention of information.
  • Confidence Building: Access to free demos allows candidates to familiarize themselves with the exam structure and reduces anxiety, building confidence for the actual test.
  • Higher Success Rate: With informative content tailored specifically for the Informatica Data-Quality-10-Developer-Specialist certification, users are provided with the tools necessary for a higher likelihood of success.

To enroll in the Informatica Data-Quality-10-Developer-Specialist Data Quality 10: Developer Specialist Exam exam course at, follow these steps:

  1. Visit the website
  2. Navigate to the section dedicated to the Data-Quality-10-Developer-Specialist exam.
  3. Review the available materials, including high-quality Dumps Questions Answers, and decide whether you want the PDF version, Testing Engine, or both.
  4. Click on the "Add to cart" button for your desired package: Testing Engine (only), PDF (only), or PDF + Testing Engine.
  5. You will be directed to your shopping cart where you can review your order.
  6. Proceed by choosing your preferred payment method.
  7. Complete the checkout process by providing necessary billing information and confirming your purchase.

Once payment is confirmed, you will receive access to the course materials so you can start preparing for your certification exam.


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Data-Quality-10-Developer-Specialist Overview

Aspect Details
Certification Name Data Quality 10: Developer Specialist
Exam Provider Informatica
Exam Format Multiple Choice Questions (MCQs)
Number of Questions Information not officially disclosed by Informatica (but likely in the range of 50-100 questions based on industry standards for similar exams)
Time Limit Information not officially disclosed by Informatica (but likely around 60-120 minutes based on industry standards for similar exams)
Content Areas
  • Data Profiling (Understanding techniques for identifying data quality issues)
  • Data Cleansing (Applying methods to correct and standardize data)
  • Data Enrichment (Enhancing data with additional information from external sources)
  • Data Matching (Identifying and merging duplicate records)
  • Data Integration (Concepts of integrating data from various sources into a unified format)
  • Data Governance (Understanding data governance principles and practices)
Passing Score Information not officially disclosed by Informatica

Process to get Data-Quality-10-Developer-Specialist exam



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