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Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Performing Address Validation
- Identifying duplicate records
- Executing mappings in PowerCenter
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Profiling methods to identify data irregularities and inaccuracies
- Automate and manual consolidation of duplicate records into a master record
- Navigation through the Developer Tool
- Using mappings and mapplets to cleanse and standardize data
- Project Collaboration techniques such as Tags and Comments
- Using Profiles and reference tables to share information with Analysts
- 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:
- Data Explorers
- Business Developers
- Business Analysts
- Candidates interested in taking up career under Informatica
- Mainframe Developers and Architects
- Analytics Professionals
Data Quality 10 Developer, Professional Certification Path
This is a fundamental exam and gives credential of Data Quality Developer Certified Professional.
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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 Free4Torrent exam dumps to increase retention and improve preparation.
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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:
- Generate a survivor record in the DQA
- Describe the Informatica 10 architecture and set up including the repositories required for installation
- Describe the benefits of project collaboration to a team
- Remove duplicates using DQA
- Describe how Analysts and Developers can collaborate on projects
- Explain how to integrate IDQ mappings and mapplets into PowerCenter Workflows including how content is handled
- Troubleshoot any problems that may occur
- Use the Exception Transformation to generate and populate the Bad Records and Duplicate Records tables
- Provide information on the Data Quality process and dimensions of data quality
- Use and describe the functionality of the Analyst Tool including Scorecarding, Reference Table Management, Tags, Filters, Profiles and Comments
- Explain Automatic and Manual consolidation techniques and configure the Transformations used for automatic consolidation
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
| Data Profiling | 15% | - Profiling Methods
- 1. Rule-based profiling
- 2. Comparative profiling
- 3. Column profiling
|
| Informatica Platform Overview | 10% | - Architecture and Components
- 1. Informatica Data Quality architecture concepts
- 2. Repository and services setup
|
| Address Validation | 5% | - Address Validation Transformation
- 1. Output interpretation
- 2. Validation modes and configuration
|
| Object Import and Export | 5% | - Metadata Management
- 1. Import/export of mappings and objects
|
| Parameters | 5% | - Runtime Configuration
- 1. Parameter files and runtime variables
|
| Content | 10% | - Prebuilt Content Usage
- 1. Accelerators and reference data
|
| Analyst Collaboration | 10% | - Analyst Tool Usage
- 1. Collaboration between Analyst and Developer
- 2. Scorecards, profiling, filters, tags
|
| Consolidation and Data Quality Applications (DQA) | 10% | - Data Consolidation
- 1. Master record creation
- 2. Duplicate record handling
|
| Standardization and Mapplets | 10% | - Data Standardization
- 1. Parsing techniques
- 2. Standardizer transformation usage
- 3. Reference tables in standardization
|
| DQ for Excel | 5% | - Excel-based Data Quality
- 1. Web service integration with Excel
|
| Integration with PowerCenter | 5% | - Execution and Deployment
- 1. Integration workflows
- 2. Running mappings in PowerCenter
|
| Matching | 10% | - Match Logic
- 1. Match rules and strategies
- 2. Identity matching concepts
|