Pass the Adobe Experience Platform AD0-E602 Questions and answers with ExamsMirror

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. References: 3 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#batch-ingestion

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

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

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

According to the Adobe documentation, some destinations require email addresses to be hashed using SHA256 algorithm before they can be used as target identities. These destinations include Facebook, Salesforce Marketing Cloud, Linkedin Matched Audiences, and Google Customer Match. Reference:https://experienceleague.adobe.com/docs/experience-platform/destinations/ui/destination-actions.html?lang=en#hashing-email-addresses

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. References:https://experienceleague.adobe.com/docs/experience-platform/profile/ui/overview.html?lang=en#profiles-overview-dashboard

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.

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. Reference:https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#identity-labels

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

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 aprospect, 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.