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Adobe AD0-E602 Exam Syllabus Topics:
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NEW QUESTION # 27
A Real-Time CDP Business Practitioner is working with a client and needs to process a request to access or delete through the privacy service.
What must the Real-Time CDP Business Practitioner include in the request?
- A. Identity and namespace
- B. Identity and segment
- C. Last name and segment
- D. Segment and namespace
Answer: A
Explanation:
According to the Adobe documentation, identity and namespace are the two required fields that must be included in a request to access or delete through the privacy service. Identity is the value of the identifier for the profile, such as an email address or a phone number. Namespace is the type of identifier, such as ECID or CRM ID. Reference: https://experienceleague.adobe.com/docs/experience-platform/privacy/ui/create-request.html?lang=en#required-fields
NEW QUESTION # 28
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 recency needs to be expanded to include 90 days of activity.
- C. Women are less interested in the brand's camping supplies than men.
- D. The segment logic should include an OR statement instead of an AND.
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 # 29
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. Source's dataflow activity
- B. Segments detail
- C. Dataset 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 # 30
A Real-Time CDP Business Practitioner is working on a case where there is a data governance policy violation on activating a segment to email targeting destination using a data field from dataset labeled as C4.
Which two are recommended resolutions for this situation to maintain existing data governance policy? (Choose two.)
- A. Remove or modify data usage policy
- B. Remove segment from destination
- C. Remove or modify labels of the dataset
- D. Modify segment attribute or merge policy
Answer: B,D
Explanation:
According to the Adobe documentation, C4 is a type of contract label that indicates data that cannot be used for off-site targeting purposes, such as email targeting destination. To resolve the policy violation, the practitioner can either modify the segment attribute or merge policy to exclude the C4 data field from the segment definition, or remove the segment from the destination altogether. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/dule/dule-overview.html?lang=en#contract-labels
NEW QUESTION # 31
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. Identity Data
- C. Contractual Data
- D. Sensitive 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 # 32
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. Union Schema
- B. Merge Policies
- C. Identity Graph
Answer: B
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 # 33
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. Sensitive
- B. Identity
- 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 # 34
A banking and insurance company has "memberid" as the unique user id for customers who land on their website from Google organic search and authenticate.
Which namespace is recommended to fetch profiles for known customers?
- A. Custom namespace for memberid
- B. Customer namespace for authenticated id
- C. Custom namespace for Google Click ID
Answer: B
Explanation:
According to the Adobe documentation, a custom namespace is a namespace that is created by the user to define a specific type or source of identity value that is not available in the predefined namespaces. A custom namespace for memberid would be recommended to fetch profiles for known customers who land on their website from Google organic search and authenticate, because memberid is a unique user id that is specific to this use case and not covered by any predefined namespace. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/namespace.html?lang=en#custom-namespaces
NEW QUESTION # 35
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. Connection
- C. Streaming Profile Export Destination
Answer: C
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 # 36
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. Marketing action
- B. Destination labels
- C. Data enforcement rules
- 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 # 37
A retailer who is an Adobe Real-Time CDP (RTCDP) customer wants to understand the percentage split of different age groups who buy their athletic shoes to help inform which age group to reach in their next shoe marketing campaign.
Which two steps should the retailer take to analyze their shoe segment in this way using RTCDP? (Choose two.)
- A. Divide the size of each age group segment into the total sum of all purchaser events to get percentage splits for analysis
- B. Divide the size of each age group segment into the total sum of athletic shoe purchaser events to get percentage splits for analysis
- C. Create multiple segments which AND each age group attribute with athletic shoe purchaser events
- D. Create multiple segments which OR each age group attribute with athletic shoe purchaser events
Answer: B,C
Explanation:
Two steps that the retailer should take to analyze their shoe segment in this way using RTCDP are to divide the size of each age group segment into the total sum of athletic shoe purchaser events to get percentage splits for analysis and to create multiple segments which AND each age group attribute with athletic shoe purchaser events. The first step allows the retailer to calculate the proportion of each age group among the shoe buyers, while the second step allows the retailer to create segments that include only the shoe buyers who belong to a specific age group.
NEW QUESTION # 38
A Real-time CDP Business Practitioner set up a profile segment using Experience Event data on a Profile-enabled dataset on January 1, 2022. The segment size at creation was 25,000. When revisiting the segment at the end of February, the segment size decreased to 10,000.
What explains this decrease in segment size?
- A. More profiles met the segment criteria during the time difference.
- B. The created segment was activated to a destination.
- C. The dataset had a 30-day TTL set.
Answer: C
Explanation:
According to the Adobe documentation1, TTL (time-to-live) is a setting that determines how long data is retained in a dataset before it is deleted. If the dataset had a 30-day TTL set, then any data that was older than 30 days would be removed from the dataset, which could explain the decrease in segment size over time. Reference: 1 https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en#time-to-live
NEW QUESTION # 39
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 # 40
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. Number of bank accounts
- C. Household income
- D. Bitcoin price
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 # 41
A Real-Time CDP Business Practitioner wants to make Privacy Service requests for Experience Cloud applications. Which two categories of applications can they use? (Choose two.)
- A. On-prem applications
- B. Real-time applications
- C. Applications integrated with Privacy Service
- D. Self-serve applications
Answer: C,D
Explanation:
According to the Adobe documentation, self-serve applications are applications that allow users to create and manage their own Privacy Service requests, such as Adobe Experience Platform, Adobe Campaign Standard, and Adobe Target. Applications integrated with Privacy Service are applications that have built-in integrations with Privacy Service and can automatically process requests, such as Adobe Audience Manager, Adobe Analytics, and Adobe Experience Manager. Reference: https://experienceleague.adobe.com/docs/experience-platform/privacy/home.html?lang=en#applications
NEW QUESTION # 42
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. Audiences
- B. Events
- 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 # 43
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 # 44
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. Dataset
- B. Schema
- C. Table
- D. Connection
Answer: B
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 # 45
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. Include segment as a seed for lookalike modelling high LTV
- C. Target recent account openers with paid media campaigns advertising check order renewals
- D. Reach new segment with an email campaign reminding openers to set up recurring deposits
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 # 46
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