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