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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:

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

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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:

  • 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
  • Once you have registered go to My Training and View Your Transcript
  • Click Add to Cart and complete your registration/purchase

Who should take the Data Quality 10 Developer, Professional Certification

People who are familiar with:

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

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:

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

What is the duration, language, and format of Data Quality 10 Developer, Professional Certification

  • Type of Questions: Multiple choice (MCQs), multiple answers
  • Duration of Exam: 90 minutes
  • Number of questions: 70
  • No negative marking for wrong answers
  • Passing grade: 70%
  • Language of Exam: English, Japanese, Korean

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

SectionWeightObjectives
Topic 1: Mapping Development and Execution12%- Parameters, variables, and workflow integration
- Building and testing IDQ mappings
- Debugging and performance tuning
Topic 2: Standardization and Cleansing20%- Parser, Standardizer, and Case Converter transformations
- Reference tables and dictionary management
- Address validation and cleansing
Topic 3: Data Profiling20%- Analyzing profile results and quality metrics
- Pattern discovery and data domain identification
- Column and rule-based profiling
Topic 4: Customization and Advanced Features8%- Custom transformations and rules
- DQ for Excel and other extensions
Topic 5: Matching and Consolidation25%- Comparison and Match transformations
- Duplicate resolution and golden record creation
- Survivorship and consolidation rules
- Grouping and match strategies
Topic 6: Data Quality Concepts and Architecture15%- Core data quality principles
- Integration with PowerCenter and Analyst tool
- Informatica Data Quality (IDQ) architecture and components

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