How to Prepare For Data Quality 10 Developer, Professional Certification
Preparation Guide for Data Quality 10 Developer, Professional Certification
Introduction for Data Quality 10 Developer, Professional Certification
This test measures your competency as a member of a project implementation team. This involves an in-depth knowledge of Data Quality processes such as Profiling, Standardization, Matching, and Consolidation. You must select and configure the appropriate Data Quality transformations and build, debug and execute Data Quality mappings including integrating those mappings into Power Center if needed.
The skills and knowledge areas measured by this test are focused on product core functionality inside the realm of a standard project implementation. Training materials, supporting documentation and practical experience may become sources of question development.
This is recommended for students seeking certification as a Data Quality Developer Certified Professional.
The suggested training prerequisites for this certification level are the completion of the following Informatica course(s):
- Data Quality: Advanced Techniques
- Data Quality: Data Quality Management for Developers
- Informatica Analyst
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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:
- Address Validation
- DQ for Excel
- Matching
- Object Import and Export
- Profiling
- Standardization/Mapplets
- Analyst Collaboration
- Content
- Consolidation and the DQA
- Integration with PowerCenter
- Informatica Overview
- 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 populations, the identity match strategies that are available and how they are used in Identity Matching
- 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
- Identify which Transformations can use parameters
- Describe the process of exporting mappings with parameters built in
- Configure Identity Matching option for the match transformation
- Develop and build match plans to identify duplicate or related data
- Interpret the AV outputs generated
- 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
- Verify the importance of Address Validation
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With the increased digitization of the economy, a humongous amount of semi-structured and unstructured data is emanating from various sources. Due to this unmatched format of data, the need for data integration to process the data becomes a necessity. Informatica is widely known for its data integration abilities across the globe.
Informatica PowerCenter allows migrating, integrating, and governing the enterprise-wide data, and hence it has attracted many aspirants to build careers in this lucrative domain. Merely getting the training does not lead people to success; a certification has become the need of the hour. Before taking up this test, an applicant must make sure that he/she has the skills in Informatica architecture, service maintenance, security, deployment, license keys, repository management, web services, command-line interfaces, metadata reporting, and administrator tool. You can use DumpsReview exam dumps to increase retention and improve preparation.
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Standardization and Mapplets | 10% | - Data Standardization
|
| Object Import and Export | 5% | - Metadata Management
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
|
| Integration with PowerCenter | 5% | - Execution and Deployment
|
| Matching | 10% | - Match Logic
|
| Address Validation | 5% | - Address Validation Transformation
|
| Informatica Platform Overview | 10% | - Architecture and Components
|
| Data Profiling | 15% | - Profiling Methods
|
| Parameters | 5% | - Runtime Configuration
|
| Content | 10% | - Prebuilt Content Usage
|
| DQ for Excel | 5% | - Excel-based Data Quality
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
|






