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Adobe AD0-E602 Exam Syllabus Topics:
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NEW QUESTION # 29
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. Re-create the segment
- C. Segment job
Answer: C
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 # 30
A Real-Time CDP Business Practitioner has a client who wants to target audiences across Facebook. To send segments to this social destination, what are the first two steps they should take? (Choose two.)
- A. Confirm use cases for journey optimization
- B. Connect to the destination
- C. Check Facebook account prerequisites
- D. Export segment to destination
Answer: B,C
Explanation:
According to the Adobe documentation, the first step to send segments to Facebook is to check the Facebook account prerequisites, such as having a Facebook Business Manager account, a Facebook app ID, and a Facebook system user access token. The second step is to connect to the destination by creating a new destination of type Facebook connection and providing the required information. Reference: https://experienceleague.adob
NEW QUESTION # 31
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. Household income
- B. Bitcoin price
- C. Credit score
- 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 # 32
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 # 33
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 # 34
An Adobe Real-time CDP customer is currently experiencing a low match rate with the Google DV360 connection when sharing cookie-based website retargeting audiences due to users visiting their website from a Safari browser. This customer also has a 70% authentication rate on their website with users logging in with an email address.
What could an Adobe Real-time CDP business practitioner suggest to improve the reach of the customer's website retargeting audiences with Google?
- A. Only send users who have visited the website using another browser (e.g. Chrome)
- B. Share the segment using the Google Customer Match connection using hashed email addresses as the target identity
- C. Share the segment using the Google Customer Match connection using ECID as the target identity
Answer: B
Explanation:
According to the Adobe documentation, Google Customer Match is a type of destination that allows matching profiles based on hashed email addresses, phone numbers, or user IDs with Google users across various Google services, such as Search, YouTube, Gmail, and Display & Video 360 (DV360). This type of destination can improve the match rate for website retargeting audiences, especially for users who visit the website from browsers that block third-party cookies, such as Safari. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/google-customer-match.html?lang=en
NEW QUESTION # 35
A Real-Time CDP Business Practitioner has composed a schema and a dataset has been created that references that schem a. Data is then ingested and stored in the Data Lake.
Which Platform service is the best place to analyze the data to support different use cases?
- A. Real-time Customer Profile
- B. Data Science Workspace
- C. Catalog Service
- D. Query Services
Answer: D
Explanation:
According to the Adobe documentation, Query Services is the best platform service to analyze the data to support different use cases. Query Services enables users to query data stored in the Data Lake using SQL or Spark SQL. Query Services also supports various data formats, such as Parquet, CSV, JSON, or Avro. Query Services can be used for various use cases, such as data exploration, data validation, data transformation, data visualization, or data export. Reference: https://experienceleague.adobe.com/docs/experience-platform/query/home.html?lang=en#query-service-overview
NEW QUESTION # 36
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. Create multiple segments which OR each age group attribute with athletic shoe purchaser events
- 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. Divide the size of each age group segment into the total sum of all purchaser events to get percentage splits for analysis
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 # 37
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 # 38
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. 12,000 people out both form 1 and form 2
- B. 3,000 people filled out form 1 or form 2
- C. 3,000 people filled out both form 1 and form 2
Answer: C
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 # 39
A Real-Time Business Practitioner wants to receive alerts when an error occurs while ingesting data from a source connection. Which method should the practitioner use to enable this?
- A. Subscribe to source flow run failure alerts
- B. Subscribe to failure alerts from monitoring Ul
- C. Create failure alerts in source workflow
Answer: A
Explanation:
According to the Adobe documentation, subscribing to source flow run failure alerts is the method to receive alerts when an error occurs while ingesting data from a source connection. Source flow run failure alerts are notifications that are sent to the user's email address when a source connection run fails due to an error. The user can subscribe to these alerts by selecting the option in the source connection settings. Reference: https://experienceleague.adobe.com/docs/experience-platform/sources/ui/monitor.html?lang=en#subscribing-to-source-flow-run-failure-alerts
NEW QUESTION # 40
Which two standard widgets are available in a Profiles overview dashboard of Real-time CDP? (Choose two.)
- A. Profile source
- B. Profiles added
- C. Identity overlap
- D. Identity graph
Answer: A,B
Explanation:
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. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/ui/overview.html?lang=en#profiles-overview-dashboard
NEW QUESTION # 41
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 # 42
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. CPM
- B. Time-to-market
- C. CPA
- D. AOV
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 # 43
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 # 44
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 # 45
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 # 46
What is an example of a profile namespace?
- A. Display Name
- B. Device name
- C. Segment
- D. Email
Answer: D
Explanation:
An example of a profile namespace is email. A profile namespace is a type or source of identity value that is used to identify a customer across different data sources. Email is a predefined profile namespace that represents the email address of a customer. Other examples of profile namespaces are Phone Number, ECID, or CRM ID
NEW QUESTION # 47
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