A marketer wants to create a segment based on profiles that have these 7 attributes: Loyaltyld. loyalty Level.
Location. Age. MantalStatus. Email, and Phone.
The marketer wants the segment to qualify all profiles that have these attributes: Loyaltylevel and Age and disqualify profiles that have either of these attributes: MantalStatus and Location How can the segment builder Ul be used to build this segment?
A. Drag and drop the LoyaltyLevel and Age attributes into an "Include all of" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude any of container
B. Drag and drop the LoyaltyLevel and Age attributes into an "Include anyof" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container
C. Drag and drop the LoyaltyLevel and Age attributes into an "Include all or container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container
D. Drag and drop the LoyaltyLevel and Age attributes Into an "Include any of" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
質問 2:
A data architect wants to create a new XDM field that represents a prize promotion called listOfPrizes. The field represents a list of prizes and contains three sub-fields: prizeld (string). monetaryValue (integer), and prize (Object).
This new field needs to be reusable multiple times within the same class, The sub-fields are created separately.
How should the data architect create the listOfPrizes field?
A. Create and save a new custom field group, then add an object array field to that field group.
B. Create and save a new string array field, then add a nested object field under the string array field.
C. Create and save a new object array field, then in the right rail select Convert to new data type.
D. Create and save a new object field, then create a nested array object under the object field.
正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 3:
A data engineer exports segmented Real-time Customer Profile data to a new dataset called "Profile Export".
The data engineer needs to directly download the data from the Profile Export dataset using the Data Access API.
Which file format is supported for this use case?
A. Parquet
B. CSV
C. Blob
D. JSON
正解:D
解説: (Pass4Test メンバーにのみ表示されます)
質問 4:
Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?
A. A sample of all successful and failed batches in the dataset
B. A sample of the data structure of the XDM schema
C. A sample of the most recent successful batch in the dataset
D. A sample of all successful batches in the dataset in the past 7 days
正解:C
解説: (Pass4Test メンバーにのみ表示されます)
質問 5:
A marketer wants to send profile and attributes information to an RT-CDP Destination.
Which destination option should the marketer choose to send profile and attributes information?
A. Amazon S3 cloud storage destination
B. Google Ads
C. Facebook Pixel extension
D. Google Display and Video 360
正解:A
解説: (Pass4Test メンバーにのみ表示されます)
姫嶋** -
練習問題つきなので、AD0-E600試験勉強に最適。合格しましたからお礼を言いに