最適なAD0-E600試験準備問題集でAdobe AD0-E600問題集PDFを試そう！[2023]
Adobe AD0-E600試験受験生を確実にパスさせるAD0-E600学習問題集
質問 # 16
During discovery, a business user explains that customer data from field-sales reps is stored in a third-party CRM system.
Based on the three methods of ingesting data into Adobe Experience Platform, which method should be used to set up a schedule-based ingestion run?
- A. Sources
- B. Batch API
- C. Streaming API
- D. File automation
正解：A
解説：
Explanation
The best method to set up a schedule-based ingestion run in Adobe Experience Platform is to use Sources.
Sources allow you to configure and schedule batch ingestion runs for data that is stored in a third-party system.
https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en
質問 # 17
Which choices explain the data lineage that DULE enforces?
- A. Source. Merge Policy. Segment. Destination
- B. XDM. Source, Profile. Export
- C. Dataset. Merge Policy. Segment Destination
- D. Schema. Dataset Profile. Segment
正解：B
質問 # 18
A data engineer does not have access to the AEP Ul and must create a new Dataset and upload CSV data.
Which API requests will allow the data engineer to upload this data?
- A.
- B.
- C.
正解：C
質問 # 19
A B2B business (the client) is migrating its data warehouse (DWH) solution to AEP. Currently, they are using what they call Recipient ID as the main identifier to recognize client employees. That Recipient 10 is generated inside the DWH. That solution will not be available once AEP is live, so the solution architect needs to consider potential alternatives.
After working with the client lead and a data engineer, the solution architect identifies that a combination of Company ID and Hashed Employee Email would be a good replacement for the Recipient ID to make it more unique.
How can the solution architect generate that identity within AEP?
- A. The Company ID and Hashed Employee Email must be combined in AEP data prep and passed as a unique primary identity.
- B. The Hashed Employee Email must be set up as a primary ID. The Company ID (non-people identifier) as a secondary ID and AEP will automatically reconcile them.
- C. The Company ID and Hashed Employee Email must be combined outside of AEP and passed as a unique primary identity.
- D. The Company ID (non-people identifier) must be set up as a primary ID. The Hashed Employee Email as a secondary ID and AEP will automatically reconcile them.
正解：A
質問 # 20
A QA engineer needs to determine if the data ingested through three different data sources into three datasets enabled for profile and based in the same XDM Profile schema is processed as expected.
To evaluate the final result, the QA engineer uses the Merge Profile configuration shown;
The primary identity used is '.orgtenant.profilelDs.email".
What data should appear m the user profile?
A)
B)
C)
D)
- A. Option A
- B. Option D
- C. Option C
- D. Option B
正解：D
質問 # 21
A data engineer is using Data Prep to format data for ingestion. The data engineer needs to load Date/Time as Date values for a field called CustomerCreateDate. The use of this field does not require a time component and as is String based.
The JSON value in this example is '.platosaprod.customerCreateDateVZOOS-11 -04 15:44".
Which Data Prep functions and order should the data engineer use to format the date without the time component?
- A. dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')
- B. format(p'atosaprod.custometCreateDate.dd-MM-yyyy')
- C. date(_platosaprod.customerCreateDate.'dd-MM-yyyy')
- D. format(date(_platosaprod.customerCreateDate),'dd-MM-yyyy')
正解：D
解説：
Explanation
The data engineer should use the date function to convert the string to a date object and then use the format function to format the date object to the desired format1.
質問 # 22
A national workout studio chain deploys a new booking system and can now track when a customer puns to 90 into a training session. The studio chain wants to use that information to power their email campaigns. The event data that is collected when a customer books a session does not include information like the Sport category or the level of physical condition the customers should have. That information is stored in a different dataset. The studio chain is using AEP and will have access to the following databases; BOOK A TRAINING SESSION EVENT DATABASE: Time stamp Session ID Member ID TRAINING SESSION METADATA DATABASE:
Session ID
Sport category
Required physical condition
The data architects needs to configure the AEP XDM schemas to be able to build a relationship between the two databases so that the Sport category and the Required physical condition can be used in the AEP segment builder.
How should the data architect configure the AEP XDM to meet these requirements?
- A. Create one schema (schema B) using a custom XDM class for the Training Session Metadata Use the Member ID as the primary identity of the schema A Use the Session ID as the secondary identity of the schema A Use the Session ID as the primary identity of the schema B Enable both schemas for profile
- B. Create one schema (schema A) using the Experience Event Schema as the XDM class 'or the Book a Training Session Event Create one schema (schema B) using a custom XDM class for the Training Session Metadata Use the Member ID as the primary identity of the schema A Use the Session ID as a relationship field on schema A Use the Session ID as the primary identity of the schema B Enable both schemas for profile Create one schema (schema A) using the Experience Event Schema as the XDM class for the Book a Training Session Event
- C. Create one schema using Experience Event as the XDM class Create Field Groups to include all the attributes from both the Book a Training Session Event and the Training Session Metadata Use the Member ID as the primary identity of that schema Use the Session ID as a secondary identity of that schema Configure one dataflow per database but use the same dataset to store the info
- D. Createone schema (schema A) using the Experience Event Schema as the XDM class for the Book a Training Session Event Create out schema (schema B> using individual Profile as the XDM class for the Training Session Metadata Usethe Member ID as the primary identity of the schema A Use the Session ID as a relationship fieldon schema A Use the Session ID as the primary identity of theschema B Enable schema A for profile
正解：B
質問 # 23
A data architect creates two XDM schemas: Schema A and Schema B.
What are the two requirements for defining a schema relationship so that Schema A references Schema B for use in segmentation? (Choose two.)
- A. Both schemas should have the same fields marked as identities.
- B. Schema A and Schema B must each have datasets associated with them.
- C. Schema A must belong to the same schema class as Schema B.
- D. Schema A and Schema 6 must each be enabled for Real-time Customer Profile.
- E. Schema A and Schema B must each have a primary identity.
正解：B、E
解説：
Explanation
A primary identity is a field that uniquely identifies a profile in a dataset. It is used to merge data from different sources into a single profile. A dataset is a collection of data that is stored in Adobe Experience Platform. It is used to store data from a single source or system.
質問 # 24
A data engineer builds a segment based on Loyalty Status = Gold attribute and a purchase in the last 7 days.
To validate that this segment is working, the engineer logs in to the test website and makes a purchase Gold Loyalty Status.
In AEP. how can the data engineer validate that the test customerlD made it into the segment near real-time?
- A. Run a Query in Query service using the segment criteria (Loyalty Status = Gold attribute and a purchase in the last 7 days) for the dataset in question.
- B. In the Identity Graph Viewer, look up the customerlD.
- C. Go to Profiles > Browse and input my customerlD. Look at the segment membership tab.
- D. Go to Segments > choose the segment > search for the profile in the samples below.
正解：C
解説：
Explanation
The data engineer can go to Profiles > Browse and input my customerlD. Look at the segment membership tab to validate that the test customerlD made it into the segment near real-time. References:
https://experienceleague.adobe.com/docs/experience-platform/segmentation/segmentation-quickstart.html?lang=
質問 # 25
What is model scoring in the Data Science Workspace?
- A. Building a recipe
- B. Engineering features for a model
- C. Building and evaluating a model
- D. Applying a model to a data set
正解：D
解説：
Explanation
Model scoring in the Data Science Workspace in Adobe Experience Platform is the process of applying a model to a data set. Scoring in Adobe Experience Platform Data Science Workspace can be achieved by feeding input data into an existing trained model. Scoring results are then stored and viewable in a specified output dataset as a new batch.
質問 # 26
There are two existing entities in the Real-time Customer Profile store: one profile record and one event.
Both the event schema and profile schema have "email" as the primary identity. The _id is used to identify unique events.
Later, a data engineer ingests one additional profile fragment and another event:
Profile: ("email": "[email protected]*. "favBrand': "Adobe")
Event: {''_id": '5000". "email": "[email protected]". "purchase": "Photoshop 2021") What will the profile attributes and event look like when doing a profile [email protected]?
A)
B)
C)
D)
- A. Option B
- B. Option A
- C. Option D
- D. Option C
正解：C
質問 # 27
Time-series data has been ingested and linked with a Real-time Customer Profile.
A data engineer wants to look up only the most recent time-series event associated with the Luma ID "100".
Which API call will return the desired event object?
A)
B)
C)
D)
- A. Option B
- B. Option A
- C. Option D
- D. Option C
正解：C
質問 # 28
Which is a type of governance label?
- A. Contract Label
- B. Event Label
- C. Geographic Label
- D. Currency Label
正解：D
解説：
Explanation
The type of governance label is Currency Label . Data usage labels allow you to categorize datasets and fields according to governance policies and access control policies that apply to that data. Adobe Experience Platform provides several core data usage labels out-of-the-box that you can use to start categorizing your data
1.
質問 # 29
When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?
- A. All data is ingested and query services reporting identify any records that do not pass custom validation rules.
- B. Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
- C. As long as the data matches the pre-defined SXM schema, records in the payload pass
- D. Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
正解：B
解説：
Explanation
When sending data through the RESTful API, data engineers can make sure the payload being sent is formatted properly in real time by leveraging synchronous validation. Synchronous validation allows data engineers to review error messages for records that fail validation
質問 # 30
After creating the Entity Relationship (Diagram (ERD) of the data sources that will be connected into an AEP implementation for a utility company, the service details (including information such as name, cost type, and category) appear multiple times across different entities (for example, in the transactional events and m the customer profile details).
When designing the XDM data model for that ERD, the data architect and the business stakeholders validate that the service details information must be included at both levels, record, and time series. The service details will be used multiple times within the same structure.
How should the service details be defined in the AEP data model to make it consistent and re-usable?
- A. Create a Field Group
- B. Create a Data Type
- C. Create a XDM Schema
- D. Create a XDM Class
正解：A
解説：
Explanation
A field group is a reusable collection of fields that can be used across multiple schemas2. This will allow you to define the service details information once and use it at both record and time series levels.
質問 # 31
Time-series data has been ingested and linked with a Real-time Customer Profile.
A data engineer wants to look up only the most recent time-series event associated with the Luma ID "100".
Which API call will return the desired event object?
- A.
- B.
- C.
- D.
正解：A
質問 # 32
A marketer recently set up an Amazon S3 cloud storage destination. The last successful flow for the destination exported 12 million records. in the Amazon S3 bucket, how will the export be presented to the marketer?
- A. 3 JSON files in the format of: filenamejson (containing 5 million records) filename_2json (containing 5 million records) filename.3json (containing 2 million records)
- B. 1 CSV file in the format of: filename.csv (containing 12 million records)
- C. 3 CSV files in the format of: filename.csv {containing 5 million records) filename_2.c$v (containing 5 million records) ftlename_3.csv (containing 2 million records)
- D. 2 CSV files in the format of filename.csv (containing 6 million records) filename_2.csv (containing 6 million records)
正解：B
解説：
Explanation
The export will be presented to the marketer in one CSV file containing 12 million records1.
https://experienceleague.adobe.com/docs/experience-platform/destinations/catalog/cloud-storage/amazon-s3.htm
質問 # 33
Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?
- A. A sample of all successful and failed batches in the dataset
- B. A sample of all successful batches in the dataset in the past 7 days
- C. A sample of the data structure of the XDM schema
- D. A sample of the most recent successful batch in the dataset
正解：D
解説：
Explanation
When clicking the 'Preview dataset" button on a Dataset page, a sample of the most recent successful batch in the dataset appears.
質問 # 34
When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?
- A. As long as the data matches the pre-defined SXM schema, records in the payload pass
- B. All data is ingested and query services reporting identify any records that do not pass custom validation rules.
- C. Leveraging synchronous validation, data engineers can review error messages for records that fail validation.
- D. Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.
正解：A
質問 # 35
A data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a
"subscription" field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called "subscriptionLevel". which is an enum field that accepts the following values: "Lite*. "Standard", and "Pro''.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to "Standard".
Which mapping function(s) will accomplish this?
- A. iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf
"Standard")) - B. iif(subscription.equals("Lite") &&subscriptiorvequ3ls("Standard") && sub$ctiption.eqoals("Pro").
subscription. el$e("5tandard")) - C. iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro").
subscription. "Standard") - D. iif(subscription.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro').
'Standard', subscription)
正解：D
解説：
Explanation
you can use Data Prep functions to compute and calculate values based on what is entered in source fields. The iif function returns one value if a condition is true and another value if it is false.
https://experienceleague.adobe.com/docs/experience-platform/data-prep/functions.html?lang=en
質問 # 36
A marketer needs to quickly validate that data ingested into a dataset processed to Profile successfully. Using the AEP in which two ways can the marketer perform this task? (Choose two.)
- A. Query service
- B. Identities > Browse
- C. Dataset > Activity
- D. Monitoring > Batch
- E. Sources > Data Flow
正解：C、E
解説：
Explanation
To validate that data ingested into a dataset processed to Profile successfully, a marketer can use the following two ways in Adobe Experience Platform (AEP):
* Sources > Data Flow
* Dataset > Activity
Sources > Data Flow: This option allows the marketer to validate that data ingested into a dataset processed to Profile successfully by checking the data flow. The marketer can check the data flow to ensure that the data is being ingested correctly and that the data is being processed to Profile successfully.
Dataset > Activity: This option allows the marketer to validate that data ingested into a dataset processed to Profile successfully by checking the activity of the dataset. The marketer can check the activity of the dataset to ensure that the data is being ingested correctly and that the data is being processed to Profile successfully.
質問 # 37
A data architect wants to create a new XDM field that represents a prize promotion called listOfPrizes. The field represents a list of prizes and contains three sub-fields: prizeld (string). monetaryValue (integer), and prize (Object).
This new field needs to be reusable multiple times within the same class, The sub-fields are created separately.
How should the data architect create the listOfPrizes field?
- A. Create and save a new custom field group, then add an object array field to that field group.
- B. Create and save a new object array field, then in the right rail select Convert to new data type.
- C. Create and save a new string array field, then add a nested object field under the string array field.
- D. Create and save a new object field, then create a nested array object under the object field.
正解：D
質問 # 38
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