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Oracle 1Z1-1031 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Strategy and Scoping | 20% | - Define DMP use cases - Compliance and privacy requirements - Data scoping and collection policies |
| Topic 2: Identity Mapping & Resolution | 20% | - ID swapping and mapping strategies - Oracle ID Graph concepts - Offline match integration |
| Topic 3: Tag Implementation & Data Ingestion | 25% | - BlueKai Core Tag deployment - First-party data ingestion methods - Mobile SDK integration - Server-to-server integration |
| Topic 4: Audience Creation & Management | 20% | - Audience activation and delivery - Classification and taxonomy setup - Build and configure audience segments |
| Topic 5: Reporting & Optimization | 15% | - Performance analysis and optimization - Site Hits and Inventory reports - Audience profile and discovery reports |
Oracle Marketing Cloud Data Management Platform 2019 Implementation Essentials Sample Questions:
1. Which two are attributes of third-party data? (Choose two.)
A) Can be confirmed from multiple outside sources
B) Offered on a private marketplace, via direct sales to marketers
C) Free to use for activation, targeting, and analytics
D) Often billed directly by the media partner
2. Your client is attempting to express interest in purchasing data from a provider but is facing issues submitting the contact form. What is the issue?
A) Multiple email addresses are not separated by commas.
B) The data provider has blocked the account.
C) The data provider is not already a linked partner.
D) The requested data is too high volume.
3. An execution Partner provides you with a pixel that they would like you to use to deliver data to them. Where in the platform should you add this pixel?
A) In the Audience Delivery Criteria area in the Create New Target prompt
B) In the HTML text area in the Create New Tag prompt
C) In the Target Selection area of the Create New Schedule prompt
D) In the Pixel URL field of the Campaign configuration
4. How often must you review and assess a client's taxonomy for maintenance?
A) Daily
B) Yearly
C) Weekly
D) Quarterly
5. How are look-alike models produced?
A) They are built by ingesting online data from partner sites.
B) They are built by data partners using complex algorithms of multiple data attributes.
C) They are built by identifying targets with the highest action rate on the Funnel Analysis report.
D) They are built within the platform using logic to connect audiences.
E) They are built by creating audiences from categories with high index values.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: E |




