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Earning the Oracle Customer Data Management Cloud Service 2019 Implementation Essentials certification demonstrates that an individual has the knowledge and skills necessary to implement the Oracle Customer Data Management Cloud Service. Oracle Customer Data Management Cloud Service 2019 Implementation Essentials certification can help IT professionals advance their careers by demonstrating their expertise and increasing their marketability in the job market.
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Oracle 1Z1-1063 exam consists of 60 multiple-choice questions that must be completed within 105 minutes. To pass the exam, candidates must score at least 63%. 1Z1-1063 exam covers topics such as customer data management concepts, configuring the Oracle Customer Data Management Cloud Service, managing data quality, and troubleshooting issues. 1Z1-1063 exam is available in English and can be taken at any authorized testing center or online through the Pearson VUE platform.
Oracle 1Z1-1063 exam is designed for professionals who work with customer data, including database administrators, data architects, data analysts, and data scientists. It is suitable for individuals who have experience with Oracle Cloud technologies and want to validate their skills and knowledge by obtaining an industry-recognized certification.
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Oracle 1Z1-1063 certification exam consists of 60 multiple-choice questions that must be completed within 105 minutes. To be eligible to take 1Z1-1063 exam, candidates must have a strong understanding of the concepts and technologies related to customer data management and have experience working with Oracle Cloud technologies.
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Oracle 1Z1-1063 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Setup and Customer Data Configuration | 24% | - Customer Data Management Setup
|
| Topic 2: Address Cleansing and Verification | 12% | - Data Quality Management
|
| Topic 3: Extensibility and Integrations | 18% | - Integration Framework
|
| Topic 4: Data Modeling and Architecture | 18% | - Data Model Fundamentals
|
| Topic 5: Duplicate Identification and Resolution | 18% | - Duplicate Prevention
|
| Topic 6: Data Enrichment | 10% | - Data Enrichment Processes
|
