Informatica Data Quality 10: Developer Specialist : Data-Quality-10-Developer-Specialist

  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Aug 23, 2026
  • Q & A: 70 Questions and Answers

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About Informatica Data Quality 10: Developer Specialist : Data-Quality-10-Developer-Specialist Exam

When you get qualified by the Data Quality 10: Developer Specialist Exam certification, you can gain the necessary, inclusive knowledge to speed up your professional development. You will get more opportunity to achieve the excellent job with high salary. The better life is easy to create along with the improvement of your personal ability. While, the way to get Data Quality 10: Developer Specialist Exam certification is considerably difficult, you should pay more during the preparation. Now, Data-Quality-10-Developer-Specialist real practice torrent is designed to help you strengthen your technical job skills and prepare well for your Data Quality 10: Developer Specialist Exam actual test. Our high quality Data-Quality-10-Developer-Specialist vce torrent will make it easy to understand the knowledge about real exam dumps. Now, please try our Data Quality 10: Developer Specialist Exam real exam dumps, start building your beautiful life.

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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

  • Performing Address Validation
  • Identifying duplicate records
  • Executing mappings in PowerCenter
  • Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
  • Profiling methods to identify data irregularities and inaccuracies
  • Automate and manual consolidation of duplicate records into a master record
  • Navigation through the Developer Tool
  • Using mappings and mapplets to cleanse and standardize data
  • Project Collaboration techniques such as Tags and Comments
  • Using Profiles and reference tables to share information with Analysts
  • Converting a profile into a mapping

Peoplw who want to learn how to run data quality mapping on Excel spread sheets in this module (Power Center Integration, Performing Consolidation, grouping data and DQ Matching Cluster Analysis, GUI, Mappings Mapplets and Reusable AV Transformation.etc) and identify, resolve, and prevent costly data problems can consult INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exam and INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST practice exams.

With a number of opportunities in the field, the following job roles will get benefited from this exam:

  • Data Explorers
  • Business Developers
  • Business Analysts
  • Candidates interested in taking up career under Informatica
  • Mainframe Developers and Architects
  • Analytics Professionals

Data Quality 10 Developer, Professional Certification Path

This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.

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With the increased digitization of the economy, a humongous amount of semi-structured and unstructured data is emanating from various sources. Due to this unmatched format of data, the need for data integration to process the data becomes a necessity. Informatica is widely known for its data integration abilities across the globe.

Informatica PowerCenter allows migrating, integrating, and governing the enterprise-wide data, and hence it has attracted many aspirants to build careers in this lucrative domain. Merely getting the training does not lead people to success; a certification has become the need of the hour. Before taking up this test, an applicant must make sure that he/she has the skills in Informatica architecture, service maintenance, security, deployment, license keys, repository management, web services, command-line interfaces, metadata reporting, and administrator tool. You can use Free4Torrent exam dumps to increase retention and improve preparation.

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Understanding functional and technical aspects of Data Quality 10 Developer, Professional Certification

The following will be discussed in INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps:

  • Generate a survivor record in the DQA
  • Describe the Informatica 10 architecture and set up including the repositories required for installation
  • Describe the benefits of project collaboration to a team
  • Remove duplicates using DQA
  • Describe how Analysts and Developers can collaborate on projects
  • Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
  • Troubleshoot any problems that may occur
  • Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
  • Provide information on the Data Quality process and dimensions of data quality
  • Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
  • Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation

Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:

SectionWeightObjectives
Data Profiling15%- Profiling Methods
  • 1. Rule-based profiling
    • 2. Comparative profiling
      • 3. Column profiling
        Informatica Platform Overview10%- Architecture and Components
        • 1. Informatica Data Quality architecture concepts
          • 2. Repository and services setup
            Address Validation5%- Address Validation Transformation
            • 1. Output interpretation
              • 2. Validation modes and configuration
                Object Import and Export5%- Metadata Management
                • 1. Import/export of mappings and objects
                  Parameters5%- Runtime Configuration
                  • 1. Parameter files and runtime variables
                    Content10%- Prebuilt Content Usage
                    • 1. Accelerators and reference data
                      Analyst Collaboration10%- Analyst Tool Usage
                      • 1. Collaboration between Analyst and Developer
                        • 2. Scorecards, profiling, filters, tags
                          Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                          • 1. Master record creation
                            • 2. Duplicate record handling
                              Standardization and Mapplets10%- Data Standardization
                              • 1. Parsing techniques
                                • 2. Standardizer transformation usage
                                  • 3. Reference tables in standardization
                                    DQ for Excel5%- Excel-based Data Quality
                                    • 1. Web service integration with Excel
                                      Integration with PowerCenter5%- Execution and Deployment
                                      • 1. Integration workflows
                                        • 2. Running mappings in PowerCenter
                                          Matching10%- Match Logic
                                          • 1. Match rules and strategies
                                            • 2. Identity matching concepts

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