Who should take the Data Quality 10 Developer, Professional Certification
People who are familiar with:
- Deploying Data Quality Mappings in an Excel spreadsheet (connect to Web Services)
- Identifying duplicate records
- Project Collaboration techniques such as Tags and Comments
- Automate and manual consolidation of duplicate records into a master record
- Using mappings and mapplets to cleanse and standardize data
- Performing Address Validation
- Navigation through the Developer Tool
- Executing mappings in PowerCenter
- Converting a profile into a mapping
- Using Profiles and reference tables to share information with Analysts
- Profiling methods to identify data irregularities and inaccuracies
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 Developers
- Mainframe Developers and Architects
- Candidates interested in taking up career under Informatica
- Data Explorers
- Business Analysts
- Analytics Professionals
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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:
- Identify which Transformations can use parameters
- Explain populations, the identity match strategies that are available and how they are used in Identity Matching
- Configure Identity Matching option for the match transformation
- 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
- Interpret the AV outputs generated
- 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
- Differentiate between the matching algorithms available and explain how matching scores are
- Describe the process of exporting mappings with parameters built in
- Develop and build match plans to identify duplicate or related data
- Verify the importance of Address Validation
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What is the duration, language, and format of Data Quality 10 Developer, Professional Certification
- No negative marking for wrong answers
- Number of questions: 70
- Language of Exam: English, Japanese, Korean
- Type of Questions: Multiple choice (MCQs), multiple answers
- Passing grade: 70%
- Duration of Exam: 90 minutes
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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 TestValid exam dumps to increase retention and improve preparation.
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Informatica Data-Quality-10-Developer-Specialist Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Informatica Overview | 10% | |
| Topic 2: DQ for Excel | 5% | |
| Topic 3: Analyst Collaboration | 10% | |
| Topic 4: Consolidation and the DQA | 10% | |
| Topic 5: Standardization/Mapplets | 10% | |
| Topic 6: Address Validation | 5% | |
| Topic 7: Object Import and Export | 5% | |
| Topic 8: Profiling | 15% | |
| Topic 9: Parameters | 5% | |
| Topic 10: Content | 10% | |
| Topic 11: Integration with PowerCenter | 5% | |
| Topic 12: Matching | 10% |





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