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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- Number of questions: 70
- No negative marking for wrong answers
- Type of Questions: Multiple choice (MCQs), multiple answers
- Duration of Exam: 90 minutes
- Passing grade: 70%
- Language of Exam: English, Japanese, Korean
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Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Executing mappings in PowerCenter
- Project Collaboration techniques such as Tags and Comments
- Profiling methods to identify data irregularities and inaccuracies
- Identifying duplicate records
- Using mappings and mapplets to cleanse and standardize data
- Performing Address Validation
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Navigation through the Developer Tool
- Using Profiles and reference tables to share information with Analysts
- Automate and manual consolidation of duplicate records into a master record
- 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:
- Business Analysts
- Mainframe Developers and Architects
- Data Explorers
- Analytics Professionals
- Candidates interested in taking up career under Informatica
- Business Developers
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Difficulty in Writing Data Quality 10 Developer, Professional Certification
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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 GuideTorrent exam dumps to increase retention and improve preparation.
GuideTorrent has the combination of PDF and VCE file that will be much helpful for candidates in passing the exam. GuideTorrent provides verified questions with relevant answers which will be asked from candidates in their final exam. So, it makes it for candidates to get good grades in the final exam and one of the best features is we also provide exam dumps in PDF format which is candidates can download and study offline.
Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Customization and Advanced Features | 8% | - DQ for Excel and other extensions - Custom transformations and rules |
| Matching and Consolidation | 25% | - Grouping and match strategies - Comparison and Match transformations - Duplicate resolution and golden record creation - Survivorship and consolidation rules |
| Data Profiling | 20% | - Pattern discovery and data domain identification - Analyzing profile results and quality metrics - Column and rule-based profiling |
| Data Quality Concepts and Architecture | 15% | - Integration with PowerCenter and Analyst tool - Core data quality principles - Informatica Data Quality (IDQ) architecture and components |
| Standardization and Cleansing | 20% | - Reference tables and dictionary management - Parser, Standardizer, and Case Converter transformations - Address validation and cleansing |
| Mapping Development and Execution | 12% | - Debugging and performance tuning - Building and testing IDQ mappings - Parameters, variables, and workflow integration |



