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Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Using mappings and mapplets to cleanse and standardize data
- Profiling methods to identify data irregularities and inaccuracies
- Project Collaboration techniques such as Tags and Comments
- Converting a profile into a mapping
- Identifying duplicate records
- Using Profiles and reference tables to share information with Analysts
- Executing mappings in PowerCenter
- Performing Address Validation
- Automate and manual consolidation of duplicate records into a master record
- Navigation through the Developer Tool
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
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:
- Mainframe Developers and Architects
- Analytics Professionals
- Business Analysts
- Candidates interested in taking up career under Informatica
- Business Developers
- Data Explorers
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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- No negative marking for wrong answers
- Number of questions: 70
- Language of Exam: English, Japanese, Korean
- Passing grade: 70%
- Duration of Exam: 90 minutes
- Type of Questions: Multiple choice (MCQs), multiple answers
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:
- Identify which Transformations can use parameters
- Explain what parameters are and why they are used including what parameter functions are supported
- Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
- Differentiate between the matching algorithms available and explain how matching scores are
- 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
- Describe the process of exporting mappings with parameters built in
- Configure Identity Matching option for the match transformation
- Verify the importance of Address Validation
- Interpret the AV outputs generated
- Develop and build match plans to identify duplicate or related data
- Explain populations, the identity match strategies that are available and how they are used in Identity Matching
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Address Validation | 5% | |
| Topic 2: Consolidation and the DQA | 10% | |
| Topic 3: Matching | 10% | |
| Topic 4: Informatica Overview | 10% | |
| Topic 5: Content | 10% | |
| Topic 6: Integration with PowerCenter | 5% | |
| Topic 7: Profiling | 15% | |
| Topic 8: DQ for Excel | 5% | |
| Topic 9: Parameters | 5% | |
| Topic 10: Standardization/Mapplets | 10% | |
| Topic 11: Object Import and Export | 5% | |
| Topic 12: Analyst Collaboration | 10% |



