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Topics of Data Quality 10 Developer, Professional Certification

INFORMATICA DATA QUALITY 10 DEVELOPER SPECIALIST exam dumps pdf will include the following topics:

  • DQ for Excel
  • Parameters
  • Content
  • Object Import and Export
  • Profiling
  • Address Validation
  • Standardization/Mapplets
  • Informatica Overview
  • Integration with PowerCenter
  • Analyst Collaboration
  • Matching
  • Consolidation and the DQA

Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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:

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

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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:

  • Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
  • Develop and build match plans to identify duplicate or related data
  • Describe the process of exporting mappings with parameters built in
  • Explain what parameters are and why they are used including what parameter functions are supported
  • Configure Identity Matching option for the match transformation
  • Explain what Content is, what is contained in the Core Accelerator and why it is used in the Core Accelerator and why it is used
  • Identify which Transformations can use parameters
  • Explain populations, the identity match strategies that are available and how they are used in Identity Matching
  • Differentiate between the matching algorithms available and explain how matching scores are
  • Interpret the AV outputs generated
  • Verify the importance of Address Validation

How to book the Data Quality 10 Developer, Professional Certification

To apply for the Data Quality 10 Developer, Professional Certification , You have to follow these steps:

  • Once you have registered go to My Training and View Your Transcript
  • Click Add to Cart and complete your registration/purchase
  • Now you can simply Launch and take your test Anytime/Anywhere prior to your test's expiry date
  • Click Enroll and log in to your Informatica account

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

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