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Adobe AD0-E602 Exam Syllabus Topics:
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NEW QUESTION # 29
A Real-Time Business Practitioner has to export a customer's email address and corresponding attributes to a SFTP connection. Which destination type is recommended in this scenario?
- A. Streaming profile export
- B. Streaming segment export
- C. File based destinations
Answer: C
Explanation:
According to the Adobe documentation, file based destinations are destinations that allow exporting data from Adobe Experience Platform as files to an external system or service via SFTP or Amazon S3 protocols. These destinations can export profile attributes, segment memberships, or both, using various file formats and compression methods. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/file-based.html?lang=en
NEW QUESTION # 30
A Real-Time CDP Business Practitioner has to create a new segment of California residents. What field group tile should they drag onto the segment builder canvas?
- A. Events
- B. Audiences
- C. Attributes
Answer: C
Explanation:
According to the Adobe documentation, attributes are fields that describe profile characteristics or traits, such as demographic information, preferences, or interests. Attributes can be dragged onto the segment builder canvas to define segment rules based on attribute values or ranges. In this case, the practitioner can drag an attribute that indicates the state of residence and set it to California. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-builder.html?lang=en#attributes
NEW QUESTION # 31
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. Labels
- B. Communication
- C. Permissions
- D. Policies
Answer: A,D
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 # 32
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. Namespace
- D. Profile ID
Answer: B,C
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 # 33
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. Dataset activity
- C. Profile details
- D. Source's dataflow activity
Answer: B,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 # 34
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. Contract
- C. Sensitive
Answer: B
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 # 35
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 # 36
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. This retailer's primary business goal for this year is to acquire new customers. The primary KPI is return-on-ad-spend (ROAS).
For which use-case could segmentation meet the business goal?
- A. Cross-sell/Upsell
- B. Suppression
- C. Customer Re-engagement
Answer: B
Explanation:
According to the Adobe documentation, suppression is a use-case that involves creating segments of existing customers who have already purchased a product or service and excluding them from paid campaigns that are aimed at acquiring new customers. This use-case could help the retailer meet their business goal of increasing ROAS by reducing wasted ad spend on existing customers and focusing on potential customers who have not bought yet. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/use-cases/suppression.html?lang=en
NEW QUESTION # 37
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. Credit score
- B. Bitcoin price
- C. Household income
- D. Number of bank accounts
Answer: A,C
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 # 38
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 timestamp
- B. Timestamp ordered
- C. Dataset precedence
Answer: B
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 # 39
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. Destination labels
- C. Marketing action
- D. Data usage policies
Answer: B,D
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 # 40
A Real-time CDP business practitioner needs to determine how data will be prioritized and what data will be combined to create that unified view of a customer profile.
Which feature should be used?
- A. Merge Policies
- B. Union Schema
- C. Identity Graph
Answer: A
Explanation:
According to the Adobe documentation, merge policies are a feature of Real-Time CDP that can be used to determine how data will be prioritized and what data will be combined to create a unified view of a customer profile. Merge policies define the rules and logic for merging profile attributes from different data sources into a single profile. Merge policies can be either predefined or custom, and they can be applied at the dataset level or the tenant level. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/merge-policies/overview.html?lang=en#merge-policies-overview
NEW QUESTION # 41
A publication who is an Adobe Real-Time CDP customer wants to reach users who filled out different forms to subscribe to newsletters on their site. When they create one segment of form 1 the size is 5,000 profiles. When they create a second segment of people who filled out form 2 the size is 10,000 profiles. However, when they create a segment that includes form 1 OR form 2, the number of subscribers is 12,000.
What explains why the segment size which includes both forms is 12,000?
- A. 3,000 people filled out both form 1 and form 2
- B. 12,000 people out both form 1 and form 2
- C. 3,000 people filled out form 1 or form 2
Answer: A
Explanation:
The explanation for why the segment size which includes both forms is 12,000 is that 3,000 people filled out both form 1 and form 2. This can be derived from the following formula:
Segment size of form 1 OR form 2 = Segment size of form 1 + Segment size of form 2 - Segment size of form 1 AND form 2 Plugging in the given numbers, we get:
12,000 = 5,000 + 10,000 - Segment size of form 1 AND form 2
Solving for Segment size of form 1 AND form 2, we get:
Segment size of form 1 AND form 2 = 3,000
NEW QUESTION # 42
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. Within (+/-)
- C. This year
- D. Rolling Range
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 # 43
A Real-Time CDP Business Practitioner needs to analyze a segment's profile count. The business practitioner is interested in the number of new profiles that are part of the segment and the number of profiles that are getting removed from the segment.
Which profile status types can the practitioner use for this scenario?
- A. Realized and Exiting
- B. Realized and Leaving
- C. Qualified and Existing
Answer: A
Explanation:
According to the Adobe documentation, realized profiles are those that have newly qualified for a segment, while exiting profiles are those that have been removed from a segment due to no longer meeting the segment definition. These profile status types can be used to analyze the segment's profile count over time. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/segment-profile-count.html?lang=en#profile-status-types
NEW QUESTION # 44
Where would a Real-Time CDP Business Practitioner go to search for Profiles by Merge Policy in the Ul?
- A. Profiles > Merge Policy
- B. Profiles > Browse
- C. Profiles > Overview
- D. Profiles > Union Schema
Answer: B
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 # 45
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. Connection
- B. Streaming Profile Export Destination
- C. Extension
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 # 46
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. Batch ingestion
- B. Streaming ingestion
- C. Source connector ingestion
Answer: B
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 # 47
A Real-Time CDP Business Practitioner is working with a client who requires automatic authentication Which type of ingestion should the practitioner choose?
- A. Streaming
- B. Batch
- C. Real-Time
Answer: B
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 # 48
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?
- A. Hashed emails, phone number, GAID
- B. Hashed emails, IDFA, GAID
- C. IDFA, GAID, MID
Answer: A
Explanation:
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
NEW QUESTION # 49
A Real-time CDP Business Practitioner needs to send data to destinations. Per company policies, only datasets with indirectly identifiable data can be shared.
Dataset#1: Label = I1
Dataset #2: Label = I2
Dataset #3: Label = I2
Dataset #4: Label = 11
Which datasets shown can be shared?
- A. Dataset #2 and Dataset #3
- B. Dataset #1 and Dataset #3
- C. Dataset #1 and Dataset #4
Answer: A
Explanation:
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
NEW QUESTION # 50
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