[2023] Practice with these AD0-E602 dumps Certification Sample Questions [Q24-Q44]

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[2023] Practice with these AD0-E602 dumps Certification Sample Questions

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NEW QUESTION # 24
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 # 25
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 # 26
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 # 27
A Real-Time CDP Business Practitioner is working with a client whose platforms are not adhering to data compliance measures. Which two must the practitioner use to enforce data governance for activating segments to platform destinations? (Choose two.)

  • A. Marketing action
  • B. Data enforcement rules
  • C. Destination labels
  • D. Data usage policies

Answer: C,D

Explanation:
According to the Adobe documentation, destination labels are labels that indicate the type and purpose of a destination, such as on-site or off-site, personalization or analytics, etc. Data usage policies are rules that define how data can be used based on data usage labels and destination labels. These two must be used to enforce data governance for activating segments to platform destinations by ensuring that only compatible data and destinations are allowed. Reference: https://experienceleague.adobe.com/docs/experience-platform/data-governance/labels/destination-labels.html?lang=en https://experienceleague.adobe.com/docs/experience-platform/data-governance/policies/policies-overview.html?lang=en


NEW QUESTION # 28
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. Identity Data
  • C. Contractual 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 # 29
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 #1 and Dataset #3
  • C. Dataset #2 and Dataset #3

Answer: C

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 # 30
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 # 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. Streaming segmentation
  • B. Batch segmentation
  • C. Edge segmentation

Answer: C

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 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. Credit score
  • B. Bitcoin price
  • C. Household income
  • 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 # 33
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 # 34
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. Connect to the destination
  • B. Export segment to destination
  • C. Check Facebook account prerequisites
  • D. Confirm use cases for journey optimization

Answer: A,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 # 35
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. Sources
  • B. Profiles
  • C. Identities
  • D. Destinations

Answer: D

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 # 36
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 form 1 or form 2
  • B. 3,000 people filled out both form 1 and form 2
  • C. 12,000 people out both form 1 and form 2

Answer: B

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 # 37
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. Past Purchase >30 Days
  • C. Desktop browsers
  • D. In-store Purchasers

Answer: A,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 # 38
A client asks a Real-Time CDP Business Practitioner to use a schema in the Real-Time Customer Profile. Which identity must the practitioner set?

  • A. Primary identity
  • B. Secondary identity
  • C. Identity class

Answer: A

Explanation:
According to the Adobe documentation, primary identity is an identity that must be set in a schema in order to use it in Real-Time Customer Profile. Primary identity is an identity that uniquely identifies each profile within a dataset and across datasets within a tenant. Primary identity can be either predefined or custom, but it must have cardinality of one-to-one or many-to-one. Reference: https://experienceleague.adobe.com/docs/experience-platform/profile/identity-service/schema.html?lang=en#primary-identity


NEW QUESTION # 39
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 # 40
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 namespace
  • C. Last name and segment
  • D. Identity and segment

Answer: B

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 # 41
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. Modify segment attribute or merge policy
  • D. Remove segment from destination

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 # 42
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 segment logic should include an OR statement instead of an AND.
  • 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 recency needs to be expanded to include 90 days of activity.

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 # 43
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 # 44
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