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

Data-Quality-10-Developer-Specialist Exam Simulator
  • Exam Code: Data-Quality-10-Developer-Specialist
  • Exam Name: Data Quality 10: Developer Specialist Exam
  • Updated: Sep 28, 2026
  • Q & A: 70 Questions and Answers

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Informatica Data-Quality-10-Developer-Specialist exam simulator

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Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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:

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

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

  • Provide an explanation on how to use the Informatica ribbon in Excel
  • Explain the Web service capabilities required for DQ for Excel
  • Apply, configure and troubleshoot data standardization transformations
  • Define the techniques for creating mappings for DQ for Excel
  • Describe how to Export a Project
  • Explain Dependency conflict resolution and how it is handled
  • Be aware of where data standardization fits in the DQ process
  • Recognize how reference tables are used in the standardization process
  • Describe the requirements for integration for Excel
  • Define the difference between the Basic and Advanced Import options available
  • Perform and interpret column, rule, comparative and mid-stream profiling
  • Differentiate between the various parsing techniques available

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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 Exam4PDF exam dumps to increase retention and improve preparation.

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

SectionWeightObjectives
Topic 1: Data Profiling15%- Profiling Methods
  • 1. Comparative profiling
    • 2. Column profiling
      • 3. Rule-based profiling
        Topic 2: Integration with PowerCenter5%- Execution and Deployment
        • 1. Running mappings in PowerCenter
          • 2. Integration workflows
            Topic 3: Address Validation5%- Address Validation Transformation
            • 1. Output interpretation
              • 2. Validation modes and configuration
                Topic 4: Content10%- Prebuilt Content Usage
                • 1. Accelerators and reference data
                  Topic 5: DQ for Excel5%- Excel-based Data Quality
                  • 1. Web service integration with Excel
                    Topic 6: Matching10%- Match Logic
                    • 1. Match rules and strategies
                      • 2. Identity matching concepts
                        Topic 7: Standardization and Mapplets10%- Data Standardization
                        • 1. Standardizer transformation usage
                          • 2. Reference tables in standardization
                            • 3. Parsing techniques
                              Topic 8: Consolidation and Data Quality Applications (DQA)10%- Data Consolidation
                              • 1. Duplicate record handling
                                • 2. Master record creation
                                  Topic 9: Informatica Platform Overview10%- Architecture and Components
                                  • 1. Repository and services setup
                                    • 2. Informatica Data Quality architecture concepts
                                      Topic 10: Parameters5%- Runtime Configuration
                                      • 1. Parameter files and runtime variables
                                        Topic 11: Analyst Collaboration10%- Analyst Tool Usage
                                        • 1. Collaboration between Analyst and Developer
                                          • 2. Scorecards, profiling, filters, tags
                                            Topic 12: Object Import and Export5%- Metadata Management
                                            • 1. Import/export of mappings and objects

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