[2023] Pass Key features of AD0-E602 Course with Updated 52 Questions
AD0-E602 Sample Practice Exam Questions 2023 Updated Verified
NEW QUESTION # 28
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. Destinations
- B. Profiles
- C. Identities
- D. Sources
Answer: A
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 # 29
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 recency needs to be expanded to include 90 days of activity.
- B. The majority of browsers on the website are not authenticated.
- 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: B
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 # 30
A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization's segments How should the segments be toggled on?
- A. Create a scheduled segment
- B. Add all segments to a destination
- C. Add all segments to schedule
Answer: C
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 # 31
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. Identity Graph
- B. Union Schema
- C. Merge Policies
Answer: C
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 # 32
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. Attributes
- B. Audiences
- C. Events
Answer: A
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 # 33
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. CPA
- C. Time-to-market
- D. CPM
Answer: B,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 # 34
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 # 35
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 # 36
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. Contractual Data
- C. Identity 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 # 37
A Real-Time CDP Business Practitioner is working with a client who requires automatic authentication Which type of ingestion should the practitioner choose?
- A. Real-Time
- B. Batch
- C. Streaming
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 # 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. The dataset had a 30-day TTL set.
- B. More profiles met the segment criteria during the time difference.
- C. The created segment was activated to a destination.
Answer: A
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
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 Experience Cloud Edge
- B. Evaluate the segment on-demand using the Segment Service API
- C. Evaluate the segment on-demand using the Segment Query Service
Answer: A
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 # 40
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. IDFA, GAID, MID
- C. Hashed emails, IDFA, GAID
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 # 41
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 # 42
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. Bitcoin price
- B. Household income
- C. Number of bank accounts
- D. Credit score
Answer: B,D
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 # 43
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 athletic shoe purchaser events to get percentage splits for analysis
- B. Create multiple segments which OR each age group attribute with athletic shoe purchaser events
- C. Divide the size of each age group segment into the total sum of all purchaser events to get percentage splits for analysis
- D. Create multiple segments which AND each age group attribute with athletic shoe purchaser events
Answer: A,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 # 44
A Real-Time CDP Business Practitioner must create a new destination. As the final step in creating the new destination, they are unable to indicate the intent for which data will be exported to the destination.
What must they do in order to complete the new destination creation?
- A. Move to the activation flow
- B. Select an audience
- C. Create their own marketing action
Answer: C
Explanation:
According to the Adobe documentation, if none of the predefined marketing actions match the intent for which data will be exported to the destination, the practitioner can create their own marketing action by selecting "Other" and providing a name and description for it. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/ui/destination-actions.html?lang=en#creating-a-new-marketing-action
NEW QUESTION # 45
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 # 46
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. Include segment as a seed for lookalike modelling high LTV
- B. Personalize their website to serve a message upselling account openers with an exclusive savings account offer
- 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: A,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 # 47
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. Self-serve applications
- B. On-prem applications
- C. Real-time applications
- D. Applications integrated with Privacy Service
Answer: A,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 # 48
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