New 2024 Guaranteed Success with RealVCE AD0-E602 Dumps Adobe PDF Questions
Exceptional Practice To Adobe Real-Time CDP Business Practitioner Professional Exam Pass the First Time
NEW QUESTION # 10
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. Profile details
- B. Dataset activity
- C. Segments detail
- 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 # 11
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 Google Click ID
- B. Custom namespace for memberid
- C. Customer namespace for authenticated id
Answer: C
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 # 12
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 OR each age group attribute with athletic shoe purchaser events
- D. Create multiple segments which AND each age group attribute with athletic shoe purchaser events
Answer: B,D
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 # 13
A Real-Time CDP customer wants to share a customer segment using the identity namespace personalEmail.address across marketing channels.
For which destinations must these email addresses be transformed into the SHA256 format as the target identity?
- A. Amazon S3 connection
Salesforce Marketing Cloud connection - B. Linkedin Matched Audiences connection
Google Customer Match connection
Facebook connection - C. Facebook connection
Salesforce Marketing Cloud connection
Linkedin Matched Audiences connection
Answer: C
Explanation:
Google Customer Match connection
Explanation:
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
NEW QUESTION # 14
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. AOV
- B. Time-to-market
- C. CPM
- D. CPA
Answer: B,D
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 # 15
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 # 16
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. Extension
- 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 # 17
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 #4
- C. Dataset #1 and Dataset #3
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 # 18
A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization's segments How should the segments be toggled on?
- A. Add all segments to schedule
- B. Create a scheduled segment
- C. Add all segments to a destination
Answer: A
Explanation:
According to the Adobe documentation, to enable scheduled evaluation of segments, the practitioner must add all segments to schedule by selecting them from the Segments tab and clicking on "Add to schedule" from the action bar. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/schedule-segments.html?lang=en#schedule-segments
NEW QUESTION # 19
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. Segment job
- B. Streaming segment
- C. Re-create the segment
Answer: A
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 # 20
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. Identity Graph
- C. Union Schema
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 # 21
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. Batch segmentation
- B. Edge segmentation
- C. Streaming 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 # 22
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 labels of the dataset
- B. Remove or modify data usage policy
- C. Remove segment from destination
- D. Modify segment attribute or merge policy
Answer: C,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 # 23
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 # 24
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. 3,000 people filled out form 1 or form 2
- C. 12,000 people out both form 1 and 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 # 25
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