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NEW QUESTION # 20
Where would a Real-Time CDP Business Practitioner go to search for Profiles by Merge Policy in the Ul?
- A. Profiles > Overview
- B. Profiles > Union Schema
- C. Profiles > Merge Policy
- D. Profiles > Browse
Answer: D
Explanation:
According to the Adobe documentation, Profiles > Browse is where a Real-Time CDP Business Practitioner can go to search for Profiles by Merge Policy in the UI. Profiles > Browse allows the user to search for individual profiles or groups of profiles based on various criteria, such as identity value, namespace, dataset, or merge policy. The user can also view the profile details and timeline for each profile. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/ui/browse.html?lang=en#searching-for-profiles
NEW QUESTION # 21
A Data Steward is asked to create a Data Governance framework.
Which two items must the steward consider during set up within AEP? (Choose two.)
- A. Policies
- B. Labels
- C. Communication
- D. Permissions
Answer: A,B
Explanation:
According to the Adobe documentation, policies and labels are two key components of the Data Governance framework within AEP. Policies are rules that define how data can be used based on data usage labels and destination labels. Labels are metadata tags that indicate the type, purpose, and usage of data and destinations. The Data Steward must consider these items during set up within AEP to ensure data quality, compliance, and governance. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html?lang=en#data-governance-framework
NEW QUESTION # 22
What is an example of a profile namespace?
- A. Device name
- B. Display Name
- C. Email
- D. Segment
Answer: C
Explanation:
An example of a profile namespace is email. A profile namespace is a type or source of identity value that is used to identify a customer across different data sources. Email is a predefined profile namespace that represents the email address of a customer. Other examples of profile namespaces are Phone Number, ECID, or CRM ID
NEW QUESTION # 23
A Real-Time CDP Business Practitioner is working with a client who requires automatic authentication Which type of ingestion should the practitioner choose?
- A. Batch
- B. Real-Time
- C. Streaming
Answer: A
Explanation:
According to the Adobe documentation3, batch ingestion is the type of ingestion that supports automatic authentication. Batch ingestion enables data to be ingested periodically from sources such as databases, cloud storage, or CRM systems. Batch ingestion also supports authentication methods such as OAuth 2.0, API key, or username and password. Reference: 3 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#batch-ingestion
NEW QUESTION # 24
A Real-Time CDP Business Practitioner is mapping attributes from audience data to a streaming profile export destination. They want to include Active and Expired members in subsequent incremental exports.
What field must they make sure is selected when mapping attributes?
- A. segmentMembership.status
- B. event.status
- C. profile.status
- D. person.status
Answer: A
Explanation:
According to the Adobe documentation, segmentMembership.status is a field that indicates the current status of a profile's membership in a segment, such as Active, Expired, or Realized. This field must be selected when mapping attributes to a streaming profile export destination to include Active and Expired members in subsequent incremental exports. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/profile-export.html?lang=en#mapping-attributes
NEW QUESTION # 25
A financial services company with Adobe real-time CDP is able to combine data sources from their branches and online tools in real time to create one combined segment of recent account openers.
Which two strategic use cases should the financial services company explore when activating this new segment? (Choose two.)
- A. Reach new segment with an email campaign reminding openers to set up recurring deposits
- B. Target recent account openers with paid media campaigns advertising check order renewals
- C. Personalize their website to serve a message upselling account openers with an exclusive savings account offer
- D. Include segment as a seed for lookalike modelling high LTV
Answer: A,D
Explanation:
According to the Adobe documentation, lookalike modelling is a use-case that involves creating segments of high-value customers who share similar characteristics or behaviors and using them as seeds to find new prospects who are likely to have high lifetime value (LTV). This use-case could help the financial services company acquire more profitable customers by targeting them with relevant offers. Similarly, reaching the new segment with an email campaign reminding openers to set up recurring deposits is a use-case that involves creating segments of customers who have recently opened an account and encouraging them to take actions that increase their loyalty and retention. This use-case could help the financial services company increase customer satisfaction and revenue by offering them incentives and benefits for setting up recurring deposits. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/lookalike-modeling.html?lang=en https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/customer-reengagement.html?lang=en
NEW QUESTION # 26
An Adobe Real-Time CDP Business Practitioner wants to forward raw website events to an analytics destination in real-time rather than sending a segment using a cookie identifier.
Which type of destination should the practitioner use?
- A. Extension
- B. Streaming Profile Export Destination
- C. Connection
Answer: B
Explanation:
According to the Adobe documentation, streaming profile export is a type of destination that allows sending raw events or attributes associated with profiles in real-time to an external system or service. This type of destination does not require creating or activating segments, and can use any identity namespace as the target identity. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/profile-export.html?lang=en
NEW QUESTION # 27
A Real-time CDP business practitioner wants to fetch merged profile data of a customer across multiple data sources. Which two elements must match in the data sources for the profile to merge? (Choose two.)
- A. People identifier
- B. Identity value
- C. Profile ID
- D. Namespace
Answer: B,D
Explanation:
According to the Adobe documentation3, identity value and namespace are two elements that must match in the data sources for the profile to merge. Identity value is the unique identifier for a customer, such as an email address or a phone number. Namespace is the type or source of the identity value, such as Email or Phone Number. When two data sources have the same identity value and namespace, they can be stitched together to form a unified profile. Reference: 3 https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/overview.html?lang=en#identity-service-overview
NEW QUESTION # 28
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. Creating data policies and applying them to datasets and fields.
- B. Reviewing data, datasets, and data samples to apply and manage metadata usage labeling.
- C. Creating batch integrations and data schemas.
- D. Use data to design new customer experiences.
Answer: A,B
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. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html?lang=en#roles
NEW QUESTION # 29
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?
- A. Evaluate the segment on-demand using the Segment Service API
- B. Evaluate the segment on-demand using the Experience Cloud Edge
- C. Evaluate the segment on-demand using the Segment Query Service
Answer: B
Explanation:
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
NEW QUESTION # 30
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?
- A. Identity
- B. Sensitive
- C. Contract
Answer: C
Explanation:
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
NEW QUESTION # 31
An outdoor retailer and Adobe Real-Time CDP customer tries to create a segment that identifies females who browsed camping supplies on its website. The retailer first selected experience events of users who have visited campaign supply product pages in the past 30 days. The initial size of the segment was 450,000 profiles. However, when the retailer AND'd the gender attribute from its loyalty system, the size of the segment dropped to only 7;000 profiles.
What is the most likely explanation for this dramatic drop in segment size?
- A. The majority of browsers on the website are not authenticated.
- B. The segment logic should include an OR statement instead of an AND.
- C. The recency needs to be expanded to include 90 days of activity.
- D. Women are less interested in the brand's camping supplies than men.
Answer: A
Explanation:
The most likely explanation for the dramatic drop in segment size is that the majority of browsers on the website are not authenticated. This means that they do not have a loyalty account or a unique identifier that can be matched with the gender attribute from the loyalty system. Therefore, they are excluded from the segment that ANDs the gender attribute with the browsing behavior. To increase the segment size, the retailer could use other methods to identify or infer the gender of anonymous browsers, such as cookies, device IDs, or third-party data.
NEW QUESTION # 32
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.)
- A. Segments detail
- B. Profile details
- C. Source's dataflow activity
- D. Dataset activity
Answer: C,D
Explanation:
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
NEW QUESTION # 33
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. Connection
- B. Dataset
- C. Schema
- D. Table
Answer: C
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. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#dule-overview
NEW QUESTION # 34
A data steward is working with a client who has provided geographic dat a. Which labeling option is appropriate to categorize this type of data?
- A. Profile Data
- B. Contractual Data
- C. Sensitive Data
- D. Identity Data
Answer: A
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. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/labels/data-labels.html?lang=en#data-labels
NEW QUESTION # 35
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?
- A. Re-create the segment
- B. Segment job
- C. Streaming segment
Answer: B
Explanation:
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
NEW QUESTION # 36
A Real-time CDP business practitioner is working with a client who is requiring incoming data to appear in real time to build customer profiles.
Which data ingestion type should the Real-time CDP business practitioner recommend?
- A. Source connector ingestion
- B. Batch ingestion
- C. Streaming ingestion
Answer: C
Explanation:
According to the Adobe documentation2, streaming ingestion is the type of ingestion that allows data to appear in real time in customer profiles. Streaming ingestion enables data to be ingested continuously from sources such as mobile applications, websites, or IoT devices. Streaming ingestion also supports identity stitching and profile merge policies to create unified customer profiles. Reference: 2 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#streaming-ingestion
NEW QUESTION # 37
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?
- A. Catalog Service
- B. Query Services
- C. Data Science Workspace
- D. Real-time Customer Profile
Answer: B
Explanation:
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
NEW QUESTION # 38
A Real-Time CDP Business Practitioner is working with a client whose platforms are not adhering to data compliance measures. Which two must the practitioner use to enforce data governance for activating segments to platform destinations? (Choose two.)
- A. Data enforcement rules
- B. Data usage policies
- C. Destination labels
- D. Marketing action
Answer: B,C
Explanation:
According to the Adobe documentation, destination labels are labels that indicate the type and purpose of a destination, such as on-site or off-site, personalization or analytics, etc. Data usage policies are rules that define how data can be used based on data usage labels and destination labels. These two must be used to enforce data governance for activating segments to platform destinations by ensuring that only compatible data and destinations are allowed. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/labels/destination-labels.html?lang=en https://experienceleague.adobe.com/docs/experience-platform/data-governance/policies/policies-overview.html?lang=en
NEW QUESTION # 39
An Real-Time CDP Business Practitioner was tasked with building a report that monitored a dataflows Activation rate. Which type of Ingestion would the practitioner need to select within the Monitoring Dashboard to meet this requirement?
- A. Sources
- B. Destinations
- C. Profiles
- D. Identities
Answer: B
Explanation:
According to the Adobe documentation, destinations are endpoints where data can be activated from Adobe Experience Platform, such as email service providers, social media platforms, or analytics tools. The activation rate is a metric that measures how many profiles or segments are successfully activated to a destination within a given time period. To monitor the dataflows activation rate, the practitioner would need to select destinations as the type of ingestion within the Monitoring Dashboard and view the activation metrics for each destination. Reference: https://experienceleague.adobe.com/docs/experience-platform/monitoring/ui/dashboard.html?lang=en#destinations
NEW QUESTION # 40
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