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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:
- 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
- Now you can simply Launch and take your test Anytime/Anywhere prior to your test's expiry date
Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Identifying duplicate records
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Automate and manual consolidation of duplicate records into a master record
- Executing mappings in PowerCenter
- Using mappings and mapplets to cleanse and standardize data
- Profiling methods to identify data irregularities and inaccuracies
- Converting a profile into a mapping
- Project Collaboration techniques such as Tags and Comments
- Navigation through the Developer Tool
- Using Profiles and reference tables to share information with Analysts
- 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:
- Analytics Professionals
- Business Analysts
- Mainframe Developers and Architects
- Candidates interested in taking up career under Informatica
- Business Developers
- Data Explorers
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Address Validation | 5% | - Address Validation Transformation
|
| Topic 2: Content | 10% | - Prebuilt Content Usage
|
| Topic 3: Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Topic 4: Object Import and Export | 5% | - Metadata Management
|
| Topic 5: Matching | 10% | - Match Logic
|
| Topic 6: DQ for Excel | 5% | - Excel-based Data Quality
|
| Topic 7: Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Topic 8: Integration with PowerCenter | 5% | - Execution and Deployment
|
| Topic 9: Informatica Platform Overview | 10% | - Architecture and Components
|
| Topic 10: Parameters | 5% | - Runtime Configuration
|
| Topic 11: Data Profiling | 15% | - Profiling Methods
|
| Topic 12: Standardization and Mapplets | 10% | - Data Standardization
|
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