Read the Informatica Data Quality 9.x Developer (PR000005) Certification Exam formate below
- Language: English
- Number of Questions: 70
- Length of Examination: 90 minutes
- Format: Multiple choices, multiple answers
- Passing score: 70%
Here is the cost of Informatica Data Quality 9.x Developer (PR000005) Exam
The cost of Informatica Data Quality 9.x Developer (PR000005) exam is $340.
Informatica PR000005 Exam Overview:
| Certification Vendor: | Informatica |
|---|---|
| Exam Name: | Informatica Data Quality 9.x Developer Specialist Exam |
| Exam Number: | PR000005 |
| Exam Format: | Multiple Choice, Multiple Response |
| Passing Score: | 70% |
| Real Exam Qty: | 60-70 |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Related Certifications: | Informatica Data Quality Administrator Informatica PowerCenter Developer Informatica Data Quality Developer |
| Exam Price: | $120-200 (varies by region) |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Informatica Data Quality Training |
| Exam Registration: | Informatica Certification Portal |
| Sample Questions: | Informatica PR000005 Sample Questions |
| Exam Way: | Online proctored or test center (depending on region and provider availability) |
| Pre Condition: | Recommended experience with SQL, data integration concepts, and Informatica PowerCenter or IDQ tool usage |
| Official Syllabus URL: | https://www.informatica.com/services-and-training/certification.html |
Informatica PR000005 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Cleansing and Standardization | - Standardization rules and parsing strategies - Data cleansing transformations in IDQ |
| Topic 2: Data Quality Fundamentals | - Data quality concepts and lifecycle - Informatica Data Quality (IDQ) architecture |
| Topic 3: IDQ Development and Workflows | - Workflow creation and execution - Reusable components and mapplets - Mapping development in Developer tool |
| Topic 4: Matching and Consolidation | - Identity matching and duplicate detection - Match rules and survivorship logic |
| Topic 5: Data Quality Management and Deployment | - Deployment of IDQ solutions - Repository management |
| Topic 6: Data Profiling and Analysis | - Data profiling techniques and statistics - Source data assessment and anomaly detection |

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