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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:
- Parameters
- Integration with PowerCenter
- Informatica Overview
- Standardization/Mapplets
- Consolidation and the DQA
- DQ for Excel
- Profiling
- Matching
- Address Validation
- Content
- Object Import and Export
- Analyst Collaboration
Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Project Collaboration techniques such as Tags and Comments
- Navigation through the Developer Tool
- Converting a profile into a mapping
- Using Profiles and reference tables to share information with Analysts
- Using mappings and mapplets to cleanse and standardize data
- Identifying duplicate records
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Executing mappings in PowerCenter
- Automate and manual consolidation of duplicate records into a master record
- Performing Address Validation
- 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:
- Mainframe Developers and Architects
- Data Explorers
- Analytics Professionals
- Business Analysts
- Business Developers
- Candidates interested in taking up career under Informatica
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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:
- Develop and build match plans to identify duplicate or related data
- 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
- Interpret the AV outputs generated
- Differentiate between the matching algorithms available and explain how matching scores are
- Describe the process of exporting mappings with parameters built in
- Configure Identity Matching option for the match transformation
- Explain what parameters are and why they are used including what parameter functions are supported
- Identify which Transformations can use parameters
- Verify the importance of Address Validation
- Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
- Explain populations, the identity match strategies that are available and how they are used in Identity Matching
