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Question 1

Data Architecture

A healthcare organization uses a Relational Database Management System (RDBMS) to store information about patients' medical histories. The data is organized into two main tables: "Patients", which stores data on individual patients, and "Visits", which stores data on each patient visit. Each row in the "Visits" table is linked to a row in the "Patients" table, forming a one-to-many relationship. The organization wants to migrate this data to Adobe Real-Time CDP to deliver personalized experiences to patients based on their medical histories and requires that preservation of the one-to-many relationship between patients and visits be maintained.
Which data modeling approach should the organization adopt when translating this RDBMS data model to Real-Time CDP's NoSQL data model?

A Store the "Patients" data in one XDM schema and the "Visits" data in another, with no relationships
B Store the "Patients” data in one XDM schema and the "Visits" data in a separate time-series schema, connecting them via an identity
C Store the "Patients" data in one Experience Data Model (XDM) schema and the "Visits" data in another, connecting them via a foreign key

Question 2

Real-Time Customer Profile

Question 3

Data Architecture

Question 4

Data Architecture

Question 5

Governance

Question 6

Administration

Question 7

Data Ingestion

Question 8

Segmentation

Question 9

Data Ingestion

Question 10

Segmentation

Question 11

Governance

Question 12

Data Ingestion

Question 13

Activation

Question 14

Governance

Question 15

Administration

Question 16

Data Ingestion

Question 17

Real-Time Customer Profile

Question 18

Governance

Question 19

Segmentation

Question 20

Governance

Question 21

Data Architecture

Question 22

Real-Time Customer Profile

Question 23

Data Ingestion

Question 24

Real-Time Customer Profile

Question 25

Data Architecture

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An e-commerce company, using Adobe Real-Time CDF; wants to optimize its marketing campaigns. It plans to segment the audience based on their past purchasing history, browsing behavior, and engagement with the company's emails and mobile app. The marketing team has set up a variety of data sources, including a CRM system, a web analytics platform, and a mobile analytics platform. The goal is to activate the segments in multiple channels, including email, web, mobile, and social.
What is the recommended process to build a holistic customer profile from all these data sources and create segments for channel activation?

A Import the data from all systems to Adobe RTCDP, run a segmentation job on each dataset independently, and use Adobe Campaign to combine the segments for channel activation
B Import data from all these systems to separate datasets in Adobe RTCDP and then use segmentation to create audiences
C Create a separate dataset for each data source in Adobe RTCDP and then merge them into a unified profile
D Import the data from all systems to Adobe RTCDP but do not merge them, let the system automatically create the segments

A company is designing their Adobe Experience Platform architecture and is considering the implications of Adobe Real-Time CDP's Edge vs. Hub profile usage.
Based on Adobe Experience Platform recommendations, which statement correctly outlines the main function of these Profiles?

A A Hub Profile is utilized to enforce data privacy rules, while an Edge Profile is responsible for building customer segments.
B An Edge Profile facilitates online personalization, while a Hub Profile is primarily utilized to assemble a unified customer profile across all data sources.
C A Hub Profile is utilized to assemble customer segments, while an Edge Profile facilitates online personalization.
D An Edge Profile facilitates building customer segments, while a Hub Profile is utilized for online personalization.

Flag this page A digital marketing agency plans to integrate a new data source into Adobe Experience Platform. The agency wants to define a schema that models user interactions with online ad campaigns.
How can they model the campaign information to be reusable across different schemas?

A By creating a Field Group with defined campaign attributes
B By creating a single custom schema that includes all possible campaign attributes
C By creating a separate schema for each campaign

A large travel company uses Adobe RTCDP to manage customer data. Their Marketing team wants to roll out a new campaign targeting customers who frequently book flights. They decide to use Attribute-Based Access Control (ABAC) to ensure that only specific team members get access to the sensitive customer data for this campaign. The data architect uses the ABAC feature to configure the access. However, the data architect is not sure about the sequence that should be followed in configuration.
What is the right sequence of configuration steps for ABAC?

A 1: Label roles2: Activate policy3: Label resources
B 1: Label resources2: Activate policy3: Label roles
C 1: Label roles2: Label resources3: Activate policy
D 1: Activate policy2: Label roles3: Label resources

Question 6

Administration

Question 7

Data Ingestion

Question 8

Segmentation

Question 9

Data Ingestion

Question 10

Segmentation

Question 11

Governance

Question 12

Data Ingestion

Question 13

Activation

Question 14

Governance

Question 15

Administration

Question 16

Data Ingestion

Question 17

Real-Time Customer Profile

Question 18

Governance

Question 19

Segmentation

Question 20

Governance

Question 21

Data Architecture

Question 22

Real-Time Customer Profile

Question 23

Data Ingestion

Question 24

Real-Time Customer Profile

Question 25

Data Architecture

A data engineer at a marketing firm is tasked with setting up a monitoring system for their Adobe Real-Time CDP (RTCDP). As part of this task, the engineer has to automate error alerts in the data pipeline. The aim is to get real-time alerts for any system failure so it can be resolved promptly. This required the engineer to understand various monitoring capabilities provided by the RTCDP.
What is the most effective method to automate error alerts in RTCDP's data pipeline?

A Leveraging Adobe Analytics real-time alerts to detect data anomalies
B Utilize a third-party tool to continuously scrape Adobe Experience Platform's interface for system alerts
C Configure Adobe IO Events to subscribe to Adobe Experience Platform's Data Ingestion Notifications
D Use the Adobe Experience Platform Webhook to send notifications when a certain amount of data is ingested

A data engineer needs to ingest batch data from a third-party customer relationship management (CRM) system into Adobe Real-Time CDP for a major holiday marketing campaign.
What should the engineer check for in the initial stages of creating a manual dataflow when considering the batch ingestion framework?

A If the dataset is configured to trigger the ingestion immediately after the creation of the dataflow
B If the file is in a supported format
C If the data complies with the legal aspects of Adobe Terms and Conditions
D If the target schema is already associated with the dataset in the dataflow

A marketer wants to create an audience of customers who viewed a specific product but did not make a purchase within the past 7 days.
What is the correct method to create this segment in Adobe Real-Time CDP?

A Using segment builder, create a segment of profiles that viewed the product then create another of profiles that made a purchase, and subtract the latter from the first
B Create two streams, one for profiles that viewed the product, another for profiles that made a purchase, then merge these streams
C Select the profiles that viewed the product and exclude the profiles that have purchase entry for the same product
D Create a manual segment of profiles that viewed the product, then subtract a manual segment of profiles that made a purchase

What is the main component that influences the Real-Time CDP's decision on when to send data to a batch or stream destination?

A The real-time freshness of the data.
B The privacy tags associated with a profile and its attributes.
C The batch window size for a batch destination.
D The count of audience that is being utilized for targeting.

An insurance company is using Adobe Experience Platform to segment their audience and provide them with personalized marketing. They have collected an enormous amount of customer data and employed several segmentation types to reach their clients effectively. In one campaign, they want to target customers who have recently purchased car insurance and have also visited their website's page that details the benefits of their premium coverage plan.
What type of segmentation will be the most effective for them to use in this particular scenario?

A Behavioral segmentation
B Direct segmentation
C Batch segmentation
D Cross-channel segmentation

The Adobe Experience Platform implements strict user access control for its various teams. There are three separate teams working on an enterprise project. The Project Management team requires visibility into Project Details and Timelines but not the Customer Data. The Data Analysis team needs access to the schema and segment details to analyze user behavior but not the Project timelines. The Leadership team requires access to Project Details, Timelines, and also aggregated User Data but not granular customer data for data privacy reasons. The organization decides to implement ABAC in Adobe RTCDP to manage these access controls efficiently.
What would be the best strategy to handle the required access controls for each team with ABAC?

A Create labels for each resource and assign them to all the teams
B Create labels for each team and assign to their respective resources
C Create labels for each user and assign them to the respective teams
D Create labels for each team and assign them to each user in the respective teams

A data engineer is preparing to ingest data into the Adobe Real-Time CDP from a cloud storage source.
What is a critical step the engineer must take to ensure seamless data ingestion?

A Set a batch size for each ingestion
B Configure a customer-specific API Validate source access privileges
C Adjust the data storage volume based on data size

An Edge segment has been created in Adobe Real-Time CDR The segment is mapped to the Adobe Target Destination. An A/B activity is live on the target activity location, and the Adobe Experience Platform Web SDK is implemented. The profile is an active member of the segment within Real-Time CDR. However, the profile displays the default experience on the target activity location instead of Experience B.
Which two actions would the data engineer take to confirm the implementation is correct? (Choose two.)

A Ensure the merge policy the segment is created on has active-on-edge merge policy enabled
B Confirm that no data stream has been deployed on the target activity location
C Update the implementation to use at.js for same-page and next-page personalization
D Use Assurance to confirm that the Real-Time CDP profile and segment exist on the Edge hub

A multinational corporation has recently deployed Adobe Real-Time CDP (RTCDP) to manage and optimize its customer interactions across multiple platforms and regions. The company is committed to protecting customer privacy and adhering to various national and regional data protection regulations. They have gathered customer data from various sources including web analytics, CRM, and third-party data. However, they are unsure about how to navigate the regulatory and privacy concerns while ensuring that relevant customer data is available for analysis and insights.
Which approach would the company follow in order to be compliant with data privacy regulations while ensuring useful data is available within RTCDP?

A Exclude all personally identifiable information (PH) from the data before importing it into the CDP
B Import all available data into the CDP and then use data usage labels to restrict access based on regional privacy regulations
C Segregate customer data based on the region of data origin and apply region-specific data usage and data access policies
D Create different instances of RTCDP for different regions to ensure compliance with regional data privacy regulations

An international retail company utilizes Adobe Real-Time CDP (RTCDP) to personalize their customer experience across different regions. The company has an Adobe license usage for 50 million profiles and 300 KB profile richness. The current usage stands at 45 million profiles with an average 250 KB profile richness. They anticipate both a significant rise in customer profiles and an increase in profile richness due to a series of upcoming marketing campaigns. The data management team is tasked with optimizing data ingestion and license usage while ensuring the high quality of profile data for customer personalization.
What are two steps the data management team can take to stay within their license usage in terms of profile count and profile richness? (Choose two.)

A Reduce the retention time of pseudonymous profiles
B Remove all old profile data to make room for new data
C Use compression techniques on attribute data
D Delete redundant or unused data attributes

A company wants to ensure data accuracy across all the data sets uploaded to Adobe Experience Platform.
In order to keep the data in line with Adobe's data ingestion best practices, what is the recommended approach to check the data accuracy during ingestion?

A Apply data restriction labels to the datasets so that data scientists and data stewards can observe and investigate any discrepancies
B Leverage Data Governance APIs to track the ingestion and the quality of the data
C Validate data payload against Experience Data Model (XDM) schema before ingestion and quality-check post-ingestion using Query Service
D Run data cleaning operations periodically to avoid any data discrepancies

Which two points are true regarding the merging of identities in the Identity Graph for a Real-Time Customer Profile? (Choose two.)

A The maximum number of stitched identities in an Identity Graph for a Real-Time Customer Profile is 1000.
B The ECID needs to be sent in on a web analytics dataset as the primary identity while the Loyalty data needs to be sent in on a Loyalty dataset as the primary identity.
C The ECID needs to be sent in with the LoyaltyID on the same payload within a single dataset in order to match identities.
D The maximum number of stitched identities in an Identity Graph for a Real-Time Customer Profile is 50.
E The Experience Cloud ID (ECID) needs to be sent in first and then the LoyaltyID without ECID needs to be sent in on different payloads to a single dataset.

A firm has onboarded several gigabytes of data into Adobe Real-Time CDP and wants to implement governance to manage the data flow across various services.
Which two options should the firm choose to effectively manage the data flow across various services while adhering to data privacy regulations? (Choose two.)

A Limit the number of segments created in Segmentation Service
B Centralize data in a non-profile enabled data lake schema
C Implement field level access through labels to control data access
D Utilize Privacy Service to redact data when appropriate
E Configure the Consent Service to be compliant with CCPA regulations

A marketer wants to target all users who have clicked on a recent promotional email.
What are the two actions the Real-Time CDP developer should take to ensure the marketer's goals are achieved? (Choose two.)

A Define a segmentation strategy that focuses on users who clicked on any email.
B Extract log data from Adobe Campaign and import it into Adobe Real-Time CDP.
C Build a segment based on the Real-Time Customer Profile with the criteria that the promotional email has been clicked.
D Use the promotional email as a triggering event to create a real-time segment.
E Use the Adobe Analytics platform to monitor click-through rates and use those insights to build segments.

A global organization with operations across multiple regions is planning to leverage the Adobe Real-Time CDP for data ingestion, profile resolution, and segmentation. The organization is concerned with maintaining compliance with data privacy regulations, such as GDPR and CCPA. The organization's IT team captures user consent via tag management and embeds this information within user profiles.
What is the best approach to ensure the organization adheres to user consent within the Real-Time CDP?

A Include consent fields in the Experience Data Model (XDM) schema during profile creation for label-based data policy enforcement
B Implement a reverse proxy to manage user consent
C Apply the correct marketing action to each destination which allows all data to be sent to any destination
D Rely on manual processes to govern the use of profile data

A leading clothing retail company is in the process of migrating from a relational database management system (RDBMS) to Adobe's Real-Time CDR Currently, their RDBMS includes tables for Customers, Orders, and Items with appropriate relationships. The customer table includes customer profiles, the order table details the orders made by the customers, and the items table holds information about the items purchased.
The Adobe Real-Time CDP uses Experience Data Model (XDM), a standard schema model that allows users to combine, capture, and process customer data. The aim is to integrate the current RDBMS data into the Adobe Real-Time CDP's XDM schema while maintaining the integrity and relationship of the data.
What is the most efficient way to structure the RDBMS data into Adobe Real-Time CDP's XDM data model?

A Flatten all tables and combine into a single XDM schema
B Create separate XDM schemas for each table without defining any relationships
C Create separate XDM schemas for each table and define relationships using identifier fields

Which is an example of a non-distinct fragment in the profile assembly process?

A A record that belongs to multiple profiles
B A record property that is shared across all records in a profile
C A record from a single dataset belonging to a profile
D All records that share a unique primary identity across datasets

A data engineer is setting up the streaming data ingest into Adobe Experience Platform from Adobe Analytics to process the clickstream data in near real-time.
Which two components would the data engineer primarily focus on in order to successfully ingest this data with the least amount of data latency? (Choose two.)

A Defining a mapping strategy for Experience event schemas
B Monitoring the latency of data delivery from Adobe Analytics to Adobe Experience Platform
C Determining the data ingestion architecture
D Validating the transformation services' latency and volume threshold

A data architect is working on a client's Adobe Experience Platform instance. The client runs an online store and wants to track all the customers' browsing events to personalize their shopping experience. The architect has prepared a new Experience Data Model (XDM) schema for this purpose. The schema includes the following data:

Question Image

What would be the best field for the primary identity to correlate the event with the customer profile in Real-Time Customer Profile?

A A new field should be created
B -id
C customerId
D timestam

Support o Gui des A large retail company is currently using a traditional relational database management system (RDBMS) to store and manage order data. However, the company is experiencing scalability and performance issues as the number of orders continues to grow. The company is considering loading to Adobe Real-Time CDP to take advantage of its Experience Data Model (XDM) data model and real-time data capabilities.
The company's order table includes the following attributes:

Order ID -

Customer ID -

Order date -

Order status -

Shipping address -

Billing address -
The company's order items table includes the following attributes:

Order ID -

Item ID -
How would the architect translate this data model into Adobe Experience Platform XDM data model?

A Create an XDM individual profile schema
B Create a single XDM experience event schema
C Create an XDM experience event schema and an XDM custom schema
D Create an XDM individual profile schema and an XDM custom schema

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