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Oracle 1Z1-1031 Exam Syllabus Topics:

Oracle Marketing Cloud Data Management Platform 2019 Implementation Essentials Sample Questions:

1. Which of these is a common use case for the Recency setting?

A) To extend data delivery beyond the default period for the audience
B) To hide older audiences and users that are no longer as valuable for targeting
C) To limit delivery to only users who have taken an action and/or become eligible for an audience within a certain period of days
D) To prioritize delivery of the most recent users in an audience

2. Your client wants their first initiative to be a re-targeting campaign. What do you need to ensure is configured/initiated before the execution of this type of campaign?

A) That the BlueKai coretag is placed on the company site and that the channel partner's app has been installed
B) That vendors and share partners have been configured and that Data Usage Agreement has been signed
C) That access to 3rd party data has been granted and that 1st party converters have been suppressed
D) That a custom audience pixel has been generated and that a look-alike model has been created
E) That a Java Script BlueKai tag is placed in the header of each page and that your client submits reporting for use of third-party data

3. Your client wants to be able to identify raw data based on the items clients are interested in. What advice should you give them to assist in defining their taxonomy structure?

A) Classify user actions based on the customer lifecycle.
B) Classify user actions based on popularity of products.
C) Classify user actions based on broad categories.
D) Classify user actions based on products and offerings.

4. Which type of phint should be created to satisfy an intended connection to demonstrate what type of product is being viewed by the visitor?

A) Key-date pair (exact or relative date)
B) Key-number (integer or float)
C) Key-number range
D) Key-value string pair with an is or contains operator

5. How are look-alike models produced?

A) They are built by identifying targets with the highest action rate on the Funnel Analysis report.
B) They are built by data partners using complex algorithms of multiple data attributes.
C) They are built by creating audiences from categories with high index values.
D) They are built within the platform using logic to connect audiences.
E) They are built by ingesting online data from partner sites.

Solutions: