[Apr 18, 2024] Pass AD0-E602 Review Guide, Reliable AD0-E602 Test Engine
AD0-E602 Test Engine Practice Test Questions, Exam Dumps
NEW QUESTION # 20
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 # 21
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. Create failure alerts in source workflow
- C. Subscribe to failure alerts from monitoring Ul
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 # 22
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 # 23
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 # 24
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 # 25
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. Streaming Profile Export Destination
- B. Extension
- C. Connection
Answer: A
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 # 26
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. Time-to-market
- B. CPA
- C. AOV
- D. CPM
Answer: A,B
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 # 27
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 # 28
A Real-time CDP business practitioner wants to fetch merged profile data of a customer across multiple data sources. Which two elements must match in the data sources for the profile to merge? (Choose two.)
- A. Profile ID
- B. Namespace
- C. Identity value
- D. People identifier
Answer: B,C
Explanation:
According to the Adobe documentation3, identity value and namespace are two elements that must match in the data sources for the profile to merge. Identity value is the unique identifier for a customer, such as an email address or a phone number. Namespace is the type or source of the identity value, such as Email or Phone Number. When two data sources have the same identity value and namespace, they can be stitched together to form a unified profile. Reference: 3 https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/overview.html?lang=en#identity-service-overview
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. Re-create the segment
- B. Streaming 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 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. Past Purchase >30 Days
- B. Desktop browsers
- C. In-store Purchasers
- D. Frequent Purchasers
Answer: C,D
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 # 31
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 # 32
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 # 33
A Real-Time Business Practitioner has to export a customer's email address and corresponding attributes to a SFTP connection. Which destination type is recommended in this scenario?
- A. Streaming segment export
- B. File based destinations
- C. Streaming profile export
Answer: B
Explanation:
According to the Adobe documentation, file based destinations are destinations that allow exporting data from Adobe Experience Platform as files to an external system or service via SFTP or Amazon S3 protocols. These destinations can export profile attributes, segment memberships, or both, using various file formats and compression methods. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/file-based.html?lang=en
NEW QUESTION # 34
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. Schema
- B. Dataset
- C. Connection
- D. Table
Answer: A
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 # 35
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. Timestamp ordered
- B. Dataset timestamp
- C. Dataset precedence
Answer: A
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 # 36
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. Segment and namespace
- B. Identity and segment
- C. Last name and segment
- D. Identity and namespace
Answer: D
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 # 37
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. Catalog Service
- B. Real-time Customer Profile
- C. Query Services
- D. Data Science Workspace
Answer: C
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 # 38
A Data Steward is asked to create a Data Governance framework.
Which two items must the steward consider during set up within AEP? (Choose two.)
- A. Permissions
- B. Labels
- C. Policies
- D. Communication
Answer: B,C
Explanation:
According to the Adobe documentation, policies and labels are two key components of the Data Governance framework within AEP. Policies are rules that define how data can be used based on data usage labels and destination labels. Labels are metadata tags that indicate the type, purpose, and usage of data and destinations. The Data Steward must consider these items during set up within AEP to ensure data quality, compliance, and governance. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/home.html?lang=en#data-governance-framework
NEW QUESTION # 39
Which two standard widgets are available in a Profiles overview dashboard of Real-time CDP? (Choose two.)
- A. Profiles added
- B. Identity overlap
- C. Identity graph
- D. Profile source
Answer: A,D
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 # 40
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 #3
- B. Dataset #2 and Dataset #3
- C. Dataset #1 and Dataset #4
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 # 41
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