2024 AD0-E602 dumps review - Professional Quiz Study Materials
AD0-E602 Test Prep Training Practice Exam Questions Practice Tests
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. Export segment to destination
- C. Connect to the destination
- D. Check Facebook account prerequisites
Answer: C,D
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 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 Leaving
- B. Qualified and Existing
- C. Realized and Exiting
Answer: C
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 # 32
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 #1 and Dataset #4
- B. Dataset #2 and Dataset #3
- C. Dataset #1 and Dataset #3
Answer: B
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 # 33
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. 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: 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 # 34
A Real-Time CDP Business Practitioner is working with a client who requires automatic authentication Which type of ingestion should the practitioner choose?
- A. Batch
- B. Streaming
- C. Real-Time
Answer: A
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 # 35
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. Reach new segment with an email campaign reminding openers to set up recurring deposits
- C. Personalize their website to serve a message upselling account openers with an exclusive savings account offer
- D. Target recent account openers with paid media campaigns advertising check order renewals
Answer: A,B
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 # 36
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 # 37
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 # 38
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. Applications integrated with Privacy Service
- C. Self-serve applications
- D. Real-time applications
Answer: B,C
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 # 39
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 # 40
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. Identities
- C. Sources
- D. Profiles
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 # 41
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. Contractual Data
- B. Sensitive Data
- C. Identity Data
- D. Profile Data
Answer: D
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 # 42
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. Contract
- C. Identity
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 # 43
Which two standard widgets are available in a Profiles overview dashboard of Real-time CDP? (Choose two.)
- A. Profiles added
- B. Profile source
- 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 # 44
What is an example of a profile namespace?
- A. Email
- B. Device name
- C. Display Name
- D. Segment
Answer: A
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 # 45
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. IDFA, GAID, MID
- B. Hashed emails, phone number, GAID
- C. Hashed emails, IDFA, GAID
Answer: B
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 # 46
Where would a Real-Time CDP Business Practitioner go to search for Profiles by Merge Policy in the Ul?
- A. Profiles > Overview
- B. Profiles > Union Schema
- C. Profiles > Merge Policy
- D. Profiles > Browse
Answer: D
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 # 47
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. Data Science Workspace
- B. Real-time Customer Profile
- 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 # 48
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 # 49
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.
Which two data segments targeted in paid campaigns will become more accurate and result in CPA uplift? (Choose two.)
- A. Frequent Purchasers
- B. Desktop browsers
- C. In-store Purchasers
- D. Past Purchase >30 Days
Answer: A,C
Explanation:
According to the Adobe documentation, by combining in-store purchase data with online purchase data using a phone number as the primary key, the retailer can create more accurate segments of customers based on their purchase behavior across channels. For example, the retailer can target in-store purchasers who have not bought online yet, or frequent purchasers who have bought both online and offline multiple times. These segments can be targeted in paid campaigns to increase conversion rates and reduce cost per acquisition (CPA). Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/home.html?lang=en#segmentation
NEW QUESTION # 50
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