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All AD0-E602 Dumps and Adobe Real-Time CDP Business Practitioner Professional Exam Training Courses Help candidates to study and pass the Exams hassle-free!
NEW QUESTION # 13
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. Dataset activity
- B. Segments detail
- C. Source's dataflow activity
- D. Profile details
Answer: A,C
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 # 14
A client asks a Real-Time CDP Business Practitioner to use a schema in the Real-Time Customer Profile. Which identity must the practitioner set?
- A. Primary identity
- B. Identity class
- C. Secondary identity
Answer: A
Explanation:
According to the Adobe documentation, primary identity is an identity that must be set in a schema in order to use it in Real-Time Customer Profile. Primary identity is an identity that uniquely identifies each profile within a dataset and across datasets within a tenant. Primary identity can be either predefined or custom, but it must have cardinality of one-to-one or many-to-one. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/schema.html?lang=en#primary-identity
NEW QUESTION # 15
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. Past Purchase >30 Days
- B. In-store Purchasers
- C. Desktop browsers
- D. Frequent Purchasers
Answer: B,D
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). Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/home.html?lang=en#segmentation
NEW QUESTION # 16
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. Personalize their website to serve a message upselling account openers with an exclusive savings account offer
- B. Reach new segment with an email campaign reminding openers to set up recurring deposits
- C. Target recent account openers with paid media campaigns advertising check order renewals
- D. Include segment as a seed for lookalike modelling high LTV
Answer: B,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 # 17
Where would a Real-Time CDP Business Practitioner go to search for Profiles by Merge Policy in the Ul?
- A. Profiles > Browse
- B. Profiles > Merge Policy
- C. Profiles > Union Schema
- D. Profiles > Overview
Answer: A
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 # 18
What is an example of a profile namespace?
- A. Device name
- B. Segment
- C. Display Name
- D. Email
Answer: D
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 # 19
As a Real-Time Business Practitioner, it is required to create a custom merge policy in Adobe Experience Platform for an upcoming use case to ensure profile attributes to take precedence from latest datasets and are applied across all datasets automatically.
Which merge method should the practitioner select?
- A. Dataset precedence
- B. Dataset timestamp
- C. Timestamp ordered
Answer: C
Explanation:
According to the Adobe documentation, timestamp ordered is a merge method that can be used to create a custom merge policy in Adobe Experience Platform for an upcoming use case to ensure profile attributes take precedence from latest datasets and are applied across all datasets automatically. Timestamp ordered merge method prioritizes profile attributes based on their ingestion timestamp, with newer values taking precedence over older values. Timestamp ordered merge method also applies globally across all datasets within a tenant. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/merge-policies/methods.html?lang=en#timestamp-ordered
NEW QUESTION # 20
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?
- A. Streaming segmentation
- B. Edge segmentation
- C. Batch segmentation
Answer: B
Explanation:
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
NEW QUESTION # 21
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. Identities
- C. Profiles
- D. Destinations
Answer: D
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 # 22
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. Streaming segment
- B. Segment job
- C. Re-create the 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 # 23
Before using Adobe Real-Time CDR a telecommunications company was directly uploading a segment of likely-to-churn customers from SalesForce Marketing Cloud into Facebook for its social campaigns every 7 days. Now, the company can stream this data into RTCDP for segmentation and share with the Facebook connector in near real-time.
Which two metrics can be tracked to calculate the value of RTCDP for this customer? (Choose two.)
- A. Time-to-market
- B. AOV
- C. CPA
- D. CPM
Answer: A,C
Explanation:
Two metrics that can be tracked to calculate the value of RTCDP for this customer are time-to-market and CPA. Time-to-market measures how quickly the customer can reach their target audience with relevant offers and messages using RTCDP's near real-time segmentation and activation capabilities. CPA (cost per acquisition) measures how much it costs the customer to acquire a new customer or retain an existing one using RTCDP's data-driven optimization and personalization features.
NEW QUESTION # 24
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 Query Service
- B. Evaluate the segment on-demand using the Segment Service API
- C. Evaluate the segment on-demand using the Experience Cloud Edge
Answer: C
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 # 25
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?
- A. Custom date
- B. Rolling Range
- C. Within (+/-)
- D. This year
Answer: A
Explanation:
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
NEW QUESTION # 26
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?
- A. Subscribe to failure alerts from monitoring Ul
- B. Subscribe to source flow run failure alerts
- C. Create failure alerts in source workflow
Answer: B
Explanation:
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
NEW QUESTION # 27
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.)
- A. Household income
- B. Credit score
- C. Number of bank accounts
- D. Bitcoin price
Answer: A,B
Explanation:
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.
NEW QUESTION # 28
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