Question # 1
A Real-time CDP Business Practitioner is working to apply data labels according to DULE labeling.
At which level would should the business practitioner apply labels to propagate to chosen datasets and fields? | | A. Dataset | | B. Table | | C. Connection | | D. Schema |
Explanation: According to the Adobe documentation, DULE labeling is a framework that allows applying data usage labels (DULs) to data fields based on their usage category (Descriptive, Underlying, Linked, or Extracted). DULs can be applied at the schema level, which means they will propagate to all datasets and fields that use that schema.
Question # 2
A Real-time CDP Business Practitioner needs to send data to destinations. Per company policies, only datasets with indirectly identifiable data can be shared.
Dataset#1: Label = I1
Dataset #2: Label = I2
Dataset #3: Label = I2
Dataset #4: Label = 11
Which datasets shown can be shared? | | A. Dataset #1 and Dataset #3 | | B. Dataset #1 and Dataset #4 | | C. Dataset #2 and Dataset #3 |
C. Dataset #2 and Dataset #3
Explanation: According to the Adobe documentation, I2 is a type of identity label that indicates data that is indirectly identifiable, such as hashed email addresses or phone numbers. These datasets can be shared per company policies, as they do not contain directly identifiable data, such as I1 or 11 labels.
Question # 3
Which two standard widgets are available in a Profiles overview dashboard of Real-time CDP? (Choose two.) | | A. Profiles added | | B. Profile source | | C. Identity graph | | D. Identity overlap |
A. Profiles added B. Profile source
Explanation: According to the Adobe documentation, profiles added and profile source are two standard widgets that are available in a Profiles overview dashboard of Real-time CDP. Profiles added widget shows the number of profiles that have been added to the platform
over time. Profile source widget shows the breakdown of profiles by their source type, such as batch or streaming.
Question # 4
A banking and insurance company has "memberid" as the unique user id for customers who land on their website from Google organic search and authenticate. Which namespace is recommended to fetch profiles for known customers? | | A. Custom namespace for memberid | | B. Custom namespace for Google Click ID | | C. Customer namespace for authenticated id |
C. Customer namespace for authenticated id
Explanation: According to the Adobe documentation, a custom namespace is a
namespace that is created by the user to define a specific type or source of identity value that is not available in the predefined namespaces. A custom namespace for memberid would be recommended to fetch profiles for known customers who land on their website from Google organic search and authenticate, because memberid is a unique user id that is specific to this use case and not covered by any predefined namespace.
Question # 5
A retailer implements Adobe real-time CDP and is able to combine in-store purchase data with purchase data from their website using a phone number as the primary key. Which two data segments targeted in paid campaigns will become more accurate and result in CPA uplift? (Choose two.) | | A. In-store Purchasers | | B. Past Purchase >30 Days | | C. Frequent Purchasers | | D. Desktop browsers |
A. In-store Purchasers C. Frequent Purchasers
Explanation: According to the Adobe documentation, by combining in-store purchase data with online purchase data using a phone number as the primary key, the retailer can create more accurate segments of customers based on their purchase behavior across channels.
For example, the retailer can target in-store purchasers who have not bought online yet, or frequent purchasers who have bought both online and offline multiple times. These segments can be targeted in paid campaigns to increase conversion rates and reduce cost per acquisition (CPA).
Question # 6
A data steward is working with a client who has provided geographic data. Which labeling option is appropriate to categorize this type of data? | | A. Identity Data | | B. Contractual Data | | C. Sensitive Data | | D. Profile Data |
Explanation: According to the Adobe documentation, profile data is a type of data label that indicates data that describes characteristics or traits of an individual or group, such as demographic information, preferences, or interests. Geographic data can be categorized as profile data, as it describes the location of an individual or group.
Question # 7
A Data Steward was recently hired to ensure data governance for a large insurance company. Which two roles will be part of their main job assignment? (Choose two.) | | A. Use data to design new customer experiences. | | B. Creating data policies and applying them to datasets and fields. | | C. Creating batch integrations and data schemas. | | D. Reviewing data, datasets, and data samples to apply and manage metadata usage labeling. |
B. Creating data policies and applying them to datasets and fields. D. Reviewing data, datasets, and data samples to apply and manage metadata usage labeling.
Explanation: According to the Adobe documentation, a Data Steward is a role that is responsible for ensuring data quality, compliance, and governance across the organization. Some of the main tasks of a Data Steward include creating data policies and applying them to datasets and fields, reviewing data, datasets, and data samples to apply and manage metadata usage labeling, monitoring data quality issues and resolving them, etc.
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