AD0-E602練習Adobe高合格率回答あなたを試験は高確率で合格させます！[2023]
最高の方法からパスAdobe Experience PlatformのAD0-E602試験合格させます
質問 # 25
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. Real-time applications
- B. Self-serve applications
- C. Applications integrated with Privacy Service
- D. On-prem applications
正解：B、C
解説：
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
質問 # 26
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.
正解：C
解説：
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
質問 # 27
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. Time-to-market
- C. CPM
- D. CPA
正解：B、D
解説：
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.
質問 # 28
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
正解：A
解説：
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
質問 # 29
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. Data enforcement rules
- B. Destination labels
- C. Data usage policies
- D. Marketing action
正解：B、C
解説：
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
質問 # 30
A marketer sets up a new Amazon S3 source in real-time CDR A few days later, the marketer wants to check for any errors with ingestion.
In which two places should the marketer look for ingestion errors? (Choose two.)
- A. Source's dataflow activity
- B. Profile details
- C. Dataset activity
- D. Segments detail
正解：A、C
解説：
According to the Adobe documentation1, dataset activity and source's dataflow activity are two places where ingestion errors can be viewed. Dataset activity shows the status of each batch that is ingested into a dataset, including any errors or warnings. Source's dataflow activity shows the status of each source connection run, including any errors or warnings. Reference: 1 https://experienceleague.adobe.com/docs/experience-platform/sources/ui/monitor.html?lang=en#viewing-ingestion-errors
質問 # 31
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. Identity
- B. Contract
- C. Sensitive
正解：B
解説：
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
質問 # 32
Which two standard widgets are available in a Profiles overview dashboard of Real-time CDP? (Choose two.)
- A. Identity overlap
- B. Profile source
- C. Profiles added
- D. Identity graph
正解：B、C
解説：
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
質問 # 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. Divide the size of each age group segment into the total sum of all purchaser events to get percentage splits for analysis
- 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 OR each age group attribute with athletic shoe purchaser events
- D. Create multiple segments which AND each age group attribute with athletic shoe purchaser events
正解：B、D
解説：
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.
質問 # 34
Which feature of Real-Time CDP can be utilized to view amalgamation of all the fields contained within multiple schemas sharing the same class?
- A. Union schema
- B. Event Schema
- C. XDM Schema
正解：A
解説：
According to the Adobe documentation2, a union schema is a feature of Real-Time CDP that can be used to view the amalgamation of all the fields contained within multiple schemas sharing the same class. A union schema is automatically generated by the platform and reflects the latest changes in the underlying schemas. A union schema can be used to create segments or explore profiles across different datasets. Reference: 2 https://experienceleague.adobe.com/docs/experience-platform/profile/home.html?lang=en#union-schemas
質問 # 35
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. Create their own marketing action
- C. Select an audience
正解：B
解説：
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
質問 # 36
An Adobe Real-Time CDP Business Practitioner wants to create a segment of users who have purchased an item in the last 90 days and then purchased another item 5 days later.
What type of segmentation could be used?
- A. Frequency Segmentation
- B. Sequential Segmentation
- C. Recency Segmentation
正解：B
解説：
According to the Adobe documentation, sequential segmentation is a type of segmentation that allows defining a sequence of events or attributes that must occur in a specific order for a profile to qualify for a segment. This type of segmentation can be used to create a segment of users who have purchased an item in the last 90 days and then purchased another item 5 days later. Reference: https://experienceleague.adobe.com/docs/experience-platform/segmentation/ui/sequential-segments.html?lang=en
質問 # 37
What is an example of a profile namespace?
- A. Email
- B. Segment
- C. Device name
- D. Display Name
正解：A
解説：
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
質問 # 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. Policies
- B. Labels
- C. Communication
- D. Permissions
正解：A、B
解説：
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
質問 # 39
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. Identity class
- B. Secondary identity
- C. Primary identity
正解：C
解説：
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
質問 # 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, IDFA, GAID
- B. IDFA, GAID, MID
- C. Hashed emails, phone number, GAID
正解：C
解説：
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
質問 # 41
A Real-Time CDP Business Practitioner is mapping attributes from audience data to a streaming profile export destination. They want to include Active and Expired members in subsequent incremental exports.
What field must they make sure is selected when mapping attributes?
- A. event.status
- B. person.status
- C. segmentMembership.status
- D. profile.status
正解：C
解説：
According to the Adobe documentation, segmentMembership.status is a field that indicates the current status of a profile's membership in a segment, such as Active, Expired, or Realized. This field must be selected when mapping attributes to a streaming profile export destination to include Active and Expired members in subsequent incremental exports. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/profile-export.html?lang=en#mapping-attributes
質問 # 42
A Real-Time CDP customer wants to share a customer segment using the identity namespace personalEmail.address across marketing channels.
For which destinations must these email addresses be transformed into the SHA256 format as the target identity?
- A. Facebook connection
Salesforce Marketing Cloud connection
Linkedin Matched Audiences connection - B. Linkedin Matched Audiences connection
Google Customer Match connection
Facebook connection - C. Amazon S3 connection
Salesforce Marketing Cloud connection
正解：A
解説：
Google Customer Match connection
Explanation:
According to the Adobe documentation, some destinations require email addresses to be hashed using SHA256 algorithm before they can be used as target identities. These destinations include Facebook, Salesforce Marketing Cloud, Linkedin Matched Audiences, and Google Customer Match. Reference: https://experienceleague.adobe.com/docs/experience-platform/destinations/ui/destination-actions.html?lang=en#hashing-email-addresses
質問 # 43
A Real-time CDP Business Practitioner must enable a scheduled evaluation of an organization's segments How should the segments be toggled on?
- A. Add all segments to schedule
- B. Create a scheduled segment
- C. Add all segments to a destination
正解：A
解説：
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
質問 # 44
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 Exiting
- B. Realized and Leaving
- C. Qualified and Existing
正解：A
解説：
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
質問 # 45
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. Sensitive Data
- C. Identity Data
- D. Contractual Data
正解：A
解説：
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
質問 # 46
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