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Q21. An entertainment company and Adobe Real-Time CDP customer wants to message subscribers on the anniversary of their subscription date. The goal is to send an upsell offer to increase their subscription benefits by creating a segment and activating to their email service provider.
Which segmentation event recency type should be used to evaluate new users each day into this segment once users reach 365 days since the first subscription?

This year

Rolling Range

Custom date

Within (+/-)

According to the Adobe documentation, custom date is a type of segmentation event recency that allows specifying a fixed date or a relative date based on a field in the dataset schema. This type of recency can be used to evaluate new users each day into a segment based on a specific date, such as the anniversary of their subscription date. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-builder.html?lang=en#event-recency

Q22. An Adobe Real-time CDP customer is currently experiencing a low match rate with the Google DV360 connection when sharing cookie-based website retargeting audiences due to users visiting their website from a Safari browser. This customer also has a 70% authentication rate on their website with users logging in with an email address.
What could an Adobe Real-time CDP business practitioner suggest to improve the reach of the customer’s website retargeting audiences with Google?

Only send users who have visited the website using another browser (e.g. Chrome)

Share the segment using the Google Customer Match connection using hashed email addresses as the target identity

Share the segment using the Google Customer Match connection using ECID as the target identity

According to the Adobe documentation, Google Customer Match is a type of destination that allows matching profiles based on hashed email addresses, phone numbers, or user IDs with Google users across various Google services, such as Search, YouTube, Gmail, and Display & Video 360 (DV360). This type of destination can improve the match rate for website retargeting audiences, especially for users who visit the website from browsers that block third-party cookies, such as Safari. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/google-customer-match.html?lang=en

Q23. An Adobe Real-Time CDP Business Practitioner needs to exclude certain opt-out events from all segments used in off-site targeting by a company data governance policy enforcer.
Which type of data usage label should be applied to this data?

Sensitive

Contract

Identity

According to the Adobe documentation, contract is a type of data usage label that indicates data that has contractual limitations on how it can be used, such as opt-out events or third-party data. Contract data can be excluded from segments used in off-site targeting by applying data usage policies that enforce data governance rules. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#dule-overview

Q24. 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.)

In-store Purchasers

Past Purchase >30 Days

Frequent Purchasers

Desktop browsers

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). Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/home.html?lang=en#segmentation

Q25. A financial services start-up implements Adobe Real-Time CDP and ingests third-party data with lead information. The start-up provides credit cards with crypto currency bonus offers.
Which two attributes could be used to understand high-value prospects? (Choose two.)

Number of bank accounts

Household income

Credit score

Bitcoin price

Two attributes that could be used to understand high-value prospects are household income and credit score. Household income indicates the financial capacity and spending power of a prospect, which could affect their interest in credit cards with crypto currency bonus offers. Credit score indicates the creditworthiness and risk level of a prospect, which could affect their eligibility and approval for credit cards with crypto currency bonus offers.

Q26. A Real-Time CDP Business Practitioner wants to target audiences on Linkedln.
In order to target Linkedln profiles what three identities must be used to support this targeting?

Hashed emails, phone number, GAID

Hashed emails, IDFA, GAID

IDFA, GAID, MID

According to the Adobe documentation, Linkedln Matched Audiences is a type of destination that allows matching profiles based on hashed email addresses, phone numbers, or mobile device IDs (GAID or IDFA) with Linkedln users across various Linkedln services, such as Campaign Manager and Marketing Solutions API. This type of destination can be used to target audiences on Linkedln using these three identities. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/linkedin-matched-audiences.html?lang=en

Q27. A marketer sets up a new Amazon S3 source in real-time CDR A few days later, the marketer wants to check for any errors with ingestion.
In which two places should the marketer look for ingestion errors? (Choose two.)

Dataset activity

Source’s dataflow activity

Segments detail

Profile details

According to the Adobe documentation1, dataset activity and source’s dataflow activity are two places where ingestion errors can be viewed. Dataset activity shows the status of each batch that is ingested into a dataset, including any errors or warnings. Source’s dataflow activity shows the status of each source connection run, including any errors or warnings. Reference: 1 https://experienceleague.adobe.com/docs/experience-platform/sources/ui/monitor.html?lang=en#viewing-ingestion-errors

Q28. A Real-Time Business Practitioner wants to receive alerts when an error occurs while ingesting data from a source connection. Which method should the practitioner use to enable this?

Subscribe to source flow run failure alerts

Subscribe to failure alerts from monitoring Ul

Create failure alerts in source workflow

According to the Adobe documentation, subscribing to source flow run failure alerts is the method to receive alerts when an error occurs while ingesting data from a source connection. Source flow run failure alerts are notifications that are sent to the user’s email address when a source connection run fails due to an error. The user can subscribe to these alerts by selecting the option in the source connection settings. Reference: https://experienceleague.adobe.com/docs/experience-platform/sources/ui/monitor.html?lang=en#subscribing-to-source-flow-run-failure-alerts

Q29. An Adobe Real-Time CDP Business Practitioner receives a last-minute request from the marketing department to create segments and make them available as quickly as possible for a campaign going live tomorrow. The segments will use primarily batch datasets, which will not be evaluated for 24 hours.
How can the practitioner speed up the segment evaluation process for these segments?

Evaluate the segment on-demand using the Segment Service API

Evaluate the segment on-demand using the Segment Query Service

Evaluate the segment on-demand using the Experience Cloud Edge

According to the Adobe documentation, Experience Cloud Edge is a type of destination that allows sending segments to Adobe Experience Cloud solutions, such as Adobe Target and Adobe Audience Manager, in real-time. This type of destination can speed up the segment evaluation process by leveraging edge segmentation, which evaluates segments at the edge of Adobe Experience Platform, close to where data collection occurs. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/experience-cloud-edge.html?lang=en

Q30. A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization’s segments How should the segments be toggled on?

Create a scheduled segment

Add all segments to a destination

Add all segments to schedule

According to the Adobe documentation, to enable scheduled evaluation of segments, the practitioner must add all segments to schedule by selecting them from the Segments tab and clicking on “Add to schedule” from the action bar. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/schedule-segments.html?lang=en#schedule-segments

Q31. A Real-Time CDP Business Practitioner wants to create a customer segment to enable same page and next page personalization use cases.
Which type of evaluating segment should the practitioner use?

Streaming segmentation

Edge segmentation

Batch segmentation

According to the Adobe documentation, edge segmentation is a type of streaming segmentation that evaluates segments at the edge of Adobe Experience Platform, close to where data collection occurs. This allows for faster segment evaluation and activation, enabling use cases such as same page and next page personalization. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/edge.html?lang=en

Q32. Which feature of Real-Time CDP can be utilized to view amalgamation of all the fields contained within multiple schemas sharing the same class?

XDM Schema

Union schema

Event Schema

According to the Adobe documentation2, a union schema is a feature of Real-Time CDP that can be used to view the amalgamation of all the fields contained within multiple schemas sharing the same class. A union schema is automatically generated by the platform and reflects the latest changes in the underlying schemas. A union schema can be used to create segments or explore profiles across different datasets. Reference: 2 https://experienceleague.adobe.com/docs/experience-platform/profile/home.html?lang=en#union-schemas

Q33. A Real-Time CDP Business Practitioner is working with a client and needs to process a request to access or delete through the privacy service.
What must the Real-Time CDP Business Practitioner include in the request?

Segment and namespace

Identity and segment

Identity and namespace

Last name and segment

According to the Adobe documentation, identity and namespace are the two required fields that must be included in a request to access or delete through the privacy service. Identity is the value of the identifier for the profile, such as an email address or a phone number. Namespace is the type of identifier, such as ECID or CRM ID. Reference: https://experienceleague.adobe.com/docs/experience-platform/privacy/ui/create-request.html?lang=en#required-fields

Q34. An Adobe Real-Time CDP Business Practitioner wants to create a batch segment of users for a financial services client who opened account in the last rolling 30 days. The analytics team needs an updated segment count prior to a campaign launch.
What would the practitioner need to do to achieve this task?

Re-create the segment

Streaming segment

Segment job

According to the Adobe documentation, segment job is a feature that allows running an on-demand evaluation of segments using batch datasets and getting an updated segment count within minutes. Segment job can be used to achieve this task by selecting the segment and clicking on “Run segment job” from the action bar. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-job.html?lang=en

Q35. A Real-Time CDP Business Practitioner has composed a schema and a dataset has been created that references that schem a. Data is then ingested and stored in the Data Lake.
Which Platform service is the best place to analyze the data to support different use cases?

Query Services

Data Science Workspace

Catalog Service

Real-time Customer Profile

According to the Adobe documentation, Query Services is the best platform service to analyze the data to support different use cases. Query Services enables users to query data stored in the Data Lake using SQL or Spark SQL. Query Services also supports various data formats, such as Parquet, CSV, JSON, or Avro. Query Services can be used for various use cases, such as data exploration, data validation, data transformation, data visualization, or data export. Reference: https://experienceleague.adobe.com/docs/experience-platform/query/home.html?lang=en#query-service-overview

Q36. 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.)

Use data to design new customer experiences.

Creating data policies and applying them to datasets and fields.

Creating batch integrations and data schemas.

Reviewing data, datasets, and data samples to apply and manage metadata usage labeling.

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. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html?lang=en#roles

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