By Exam Number: 1Z0-952
Exam Title: Oracle Data Management Platform Cloud 2017 Implementation Essentials
Associated Certification Paths: Oracle Data Management Platform 2017 Cloud Certified Implementation Specialist
Duration: 120 minutes
Number of Questions: 74
Passing Score: 67%
View passing score policy
Validated Against: This exam has been validated against Oracle Marketing Cloud, Data Management Platform 2018
Format: Multiple Choice
Complete Recommended Training
Complete the training below to prepare for your exam (optional):
Oracle Marketing Cloud Learning Subscription (Individuals & Companies | Partners)
Additional Preparation and Information
A combination of Oracle training and hands-on experience (attained via labs and/or field experience) provides the best preparation for passing the exam.
Our certification exams are revised regularly to align with training and product release updates. Information about exam revisions and new topics are found on this page under ‘Validated Statement’ and within the exam topics below. Certifications reflect validated skills for year and product release version date of achievement. If you are preparing for this exam, we recommend you check these topics periodically to ensure your exam prep covers any new topics that may be added based on regular exam revision.
Data Discovery
Describe data types and data sources and explain how 3rd party data is charged
Compose an example phint
Enter private assets into the 2nd Party Listings page
Purchase third-party data from the third-party data marketplace
Data Taxonomy
Map data to categories
Design a use case for and create self-classification categories
Apply Oracle recommended methods for taxonomy structures and creation
Explain the methods used to review and update taxonomies
Data Ingest
Explain the methods and associated processes to ingest data into the Oracle Data Management Platform (DMP)
Create and configure a container and identify use cases for each tag type
Generate and explain the Site Hits Report
Generate and explain the Provider Inventory Trend Report
Data Classification
Create self-classification rules
Assess and update classification rules
Implementation and Configuration
Describe the stages of implementation and their associated tasks
Explain Agency/Client models
Explain seat governance options and taxonomy permissioning
Audience Management
Create an Audience and describe how to link and exclude segments
Create Audiences to facilitate A/B testing
Audience Analytics
Describe and interpret the Audience Discovery Report
Describe and interpret the Audience Profile Report
Describe the Funnel Analysis Report, Audience Details Report, and Container Discovery Report
Explain the difference between a Sampled and Unsampled report
Data Activation and Vendors
Explain use cases for look-alike models and how they are produced
Configure an app partner using primary solution types
Describe the three primary pricing models
Create a campaign using the creation tool
Generate reports to monitor and analyze vendor and media activity
Case Studies
Describe digital marketing campaigns, including dependencies, data sources, and data channels
Technical Overview of Data Ingest
Describe user IDs, including the difference between a true ID swap and a fake ID swap
Describe key features of the BlueKai CoreTag
Test and assess a Container
Explain the difference between a campaign pixel and regex pixel
Identity Mapping
Describe how the Oracle ID Graph maps identities and define the IDs connected by the Oracle ID Graph
Technical Overview of Data Activation
Explain the process of Server Data Transfer and describe the differences between Real-Time and Batch methods for Server Data Transfer
Employ the Pixel method for data delivery
Implement the JSON Return Tag
Design a use case for tagging creatives
Describe the process for executing media analytics
API Methods
Describe APIs and the access they provide
Identify where to find developer keys and how to authenticate them, and configure an API with the Oracle DMP
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