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:
- Recognize how reference tables are used in the standardization process
- Describe the requirements for integration for Excel
- Apply, configure and troubleshoot data standardization transformations
- Provide an explanation on how to use the Informatica ribbon in Excel
- Differentiate between the various parsing techniques available
- Explain the Web service capabilities required for DQ for Excel
- Be aware of where data standardization fits in the DQ process
- Define the difference between the Basic and Advanced Import options available
- Explain Dependency conflict resolution and how it is handled
- Describe how to Export a Project
- Define the techniques for creating mappings for DQ for Excel
- Perform and interpret column, rule, comparative and mid-stream profiling
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Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Navigation through the Developer Tool
- Performing Address Validation
- Identifying duplicate records
- Executing mappings in PowerCenter
- 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
- Project Collaboration techniques such as Tags and Comments
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Profiling methods to identify data irregularities and inaccuracies
- Converting a profile into a mapping
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
- Candidates interested in taking up career under Informatica
- Data Explorers
- Analytics Professionals
- Business Developers
- Business Analysts
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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 populations, the identity match strategies that are available and how they are used in Identity Matching
- 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
- Identify which Transformations can use parameters
- Configure the Address Validation transformation including explaining each mode that is available and what custom templates can be used for
- Configure Identity Matching option for the match transformation
- Differentiate between the matching algorithms available and explain how matching scores are
- Verify the importance of Address Validation
- Describe the process of exporting mappings with parameters built in
- Explain what parameters are and why they are used including what parameter functions are supported
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Informatica Platform Overview | 10% | - Architecture and Components
|
| Topic 2: Address Validation | 5% | - Address Validation Transformation
|
| Topic 3: Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Topic 4: Integration with PowerCenter | 5% | - Execution and Deployment
|
| Topic 5: Data Profiling | 15% | - Profiling Methods
|
| Topic 6: Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|
| Topic 7: DQ for Excel | 5% | - Excel-based Data Quality
|
| Topic 8: Parameters | 5% | - Runtime Configuration
|
| Topic 9: Matching | 10% | - Match Logic
|
| Topic 10: Standardization and Mapplets | 10% | - Data Standardization
|
| Topic 11: Content | 10% | - Prebuilt Content Usage
|
| Topic 12: Object Import and Export | 5% | - Metadata Management
|








