The benefit of obtaining the Data Quality 10 Developer, Professional Certification Certification
- Reduce risks by identifying, resolving, and preventing costly data problems
- Achieve better business outcomes and maximize the return on data
- Reduce costs for the business
- Enhance IT productivity and business self-sufficiency with powerful business-IT collaboration tools
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:
- Describe the requirements for integration for Excel
- Be aware of where data standardization fits in the DQ process
- Describe how to Export a Project
- Recognize how reference tables are used in the standardization process
- Define the difference between the Basic and Advanced Import options available
- Define the techniques for creating mappings for DQ for Excel
- Differentiate between the various parsing techniques available
- Explain Dependency conflict resolution and how it is handled
- Explain the Web service capabilities required for DQ for Excel
- Apply, configure and troubleshoot data standardization transformations
- Perform and interpret column, rule, comparative and mid-stream profiling
- Provide an explanation on how to use the Informatica ribbon in Excel
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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
- Configure Identity Matching option for the match transformation
- Explain populations, the identity match strategies that are available and how they are used in Identity Matching
- Interpret the AV outputs generated
- Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
- 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
- Differentiate between the matching algorithms available and explain how matching scores are
- Verify the importance of Address Validation
- Explain what parameters are and why they are used including what parameter functions are supported
- Identify which Transformations can use parameters
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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 Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
- Describe the Informatica 10 architecture and set up including the repositories required for installation
- Troubleshoot any problems that may occur
- Generate a survivor record in the DQA
- Provide information on the Data Quality process and dimensions of data quality
- Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
- Remove duplicates using DQA
- Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
- Describe the benefits of project collaboration to a team
- Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
- Describe how Analysts and Developers can collaborate on projects

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