A marketer wants 10 create a segment that qualities profiles from all datasets that are enabled for profile. The use case for the segment is for activation to advertising destinations.Based on the options for ID stitching and merge method respectively, which type of merge policy is appropriate for this use case?

ID stitching: NoneMerge method: Dataset precedence

ID stitching: NoneMerge method: Timestamp ordered

ID stitching: Private graphMerge method: Dataset precedence

ID stitching: Private graphMerge method: Timestamp ordered

A data architect responsible for maintaining existing schemas is notified that a previously defined mandatory field is no longer available due to some changes in the inbound dat a. The data architect confirms the existing schema has been saved and is currently being leveraged in data ingestion.Which option does the data architect have?

Remove the previously defined field

Make the current mandatory field optional

Assign the field a new data type

Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?

A sample of the most recent successful batch in the dataset

A sample of all successful batches in the dataset in the past 7 days

A sample of the data structure of the XDM schema

A sample of the most recent successful batch in the dataset

A sample of all successful and failed batches in the dataset

An AEP expert has been tasked with a last-minute request to send a campaign. The AEP expert needs to upload a CSV file with the customer list that will be affected through the campaign, create the segments based on a briefing, and share those segments with Adobe Campaign and Facebook Custom Audiences. The brief also includes the segment volumes.Before sharing the segments, the AEP expert needs to make sure that the segment volumes match the briefing.What should the AEP do right after creating the segments to get the volumes?

Use the Profiles over time graph that appears on the segment details

Run a Segment Job through the API for the segments created

Use the qualified profiles value that appears in the Segment builder

Use the Profiles over time graph that appears on the segment details

Create an AEP dashboard with an Audience Size widget and select the corresponding segments

A data engineer ingests 1000 records that contain various different identities. Each record has at least the primary identity.The data engineer verifies that the records have been ingested into Data Lake and profile. When clicking on one of the identity namespaces in the identity tab the data engineer sees 100 records under "Records skipped".What is the possible cause of the skipped records?

Dataset and schema are not enabled for identity service.

Identity records failed XDM validation upon ingestion.

Identity namespace is not compatible with identity graph.

Dataset and schema are not enabled for identity service.

Identity service ignores records with only one identity.

What is model scoring in the Data Science Workspace?

Building and evaluating a model

Engineering features for a model

When sending data through the RESTful API. how can data engineers make sure the payload being sent is formatted property in real time?

As long as the data matches the pre-defined SXM schema, records in the payload pass

Leveraging asynchronous validation, data engineers can review error messages for records that fail validation.

Leveraging synchronous validation, data engineers can review error messages for records that fail validation.

As long as the data matches the pre-defined SXM schema, records in the payload pass

All data is ingested and query services reporting identify any records that do not pass custom validation rules.

A marketer notices that the average number of IDs linked per profile has increased significantly over the past couple weeks. In the Identity graph viewer, the marketer sees that different emails that should belong to different profiles are stitched together.What should the marketer do next to identify the root cause?

Use the Identity API to list the Identity Mappings for the email

Use the Real-time Profile Ul to retrieve the Identity Map linked to the profile

Use the Identity API to get the details of the Identity Namespace definition

Use the Identity API to list the Identity Mappings for the email

Use Identity graph viewer to retrieve the list of data sources

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.)

Schema A and Schema B must each have a primary identity.

Schema A and Schema B must each have datasets associated with them.

Schema A and Schema 6 must each be enabled for Real-time Customer Profile.

Schema A and Schema B must each have a primary identity.

Schema A must belong to the same schema class as Schema B.

Schema A and Schema B must each have datasets associated with them.

Both schemas should have the same fields marked as identities.

A marketer wants to create a segment based on profiles that have these 7 attributes: Loyaltyld. loyalty Level. Location. Age. MantalStatus. Email, and Phone.The marketer wants the segment to qualify all profiles that have these attributes: Loyaltylevel and Age and disqualify profiles that have either of these attributes: MantalStatus and Location How can the segment builder Ul be used to build this segment?

Drag and drop the LoyaltyLevel and Age attributes into an "Include all of" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude any of container

Drag and drop the LoyaltyLevel and Age attributes Into an "Include any of" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container

Drag and drop the LoyaltyLevel and Age attributes into an "Include all or container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container

Drag and drop the LoyaltyLevel and Age attributes into an "Include anyof" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude all of container

Drag and drop the LoyaltyLevel and Age attributes into an "Include all of" container Then, drag and drop the MantalStatus and Location attributes into an "Exclude any of container

A national workout studio chain is introducing a new Family discount program. They have already deployed AEP with the following data model:• Members Schema (Individual Profile Based):• Primary ID: Member ID• Secondary IDs: Email Hash. Phone Hash• Training Sessions Management (Experience Event):• Primary ID: Member ID• Secondary IDs: ECID• Subscription Management (Experience Event):• Primary ID: Email Hash • Secondary IDs: ECIDThe workout studio wants to be able to use all of this information together with the family details to segment For example, they want to target families where one family member trams daily or one family member has the yearly subscription plan.To start collecting Family information, the workout studio creates a form where the members can create a Family account and associate the different members to it The form will collect a list of Member IDs and generate a Family ID. A data architect will design a new schema to store the Family information.Which identities should be used in the schema(s) to collect this form information?

The Family ID should be defined as a cross-device identity and set up as a secondary identity. The Member IDs should be used as primary identities.

The Family ID should be defined as a cross-device identity and set up as the primary identity. The Member IDs should be used as secondary identities.

The Family ID should be defined as a non-people identity and set up as a primary identity. The Member ID should be set up as a relationship with the Members Schema.

The Family ID should be defined as a non-people identity and set up as the primary identity. The Family ID should also be an attribute of the Members Schema and set up as a relationship.

A data engineer is ingesting website data via CSV that represents a future hotel reservation. Each field is mapped to the corresponding target field below:"fullName": "string", 'crmld": "string", "email": "string", "swyDate": "dateTime", "_id": "string" Upon mapping the data, the mapping step fails with an error.What is the possible cause of this error?

The source datelime format is incompatible with XDM.

_id field is passed in manually instead of autogenerated.

CRM ID is an integer when the target field is a string.

The source datelime format is incompatible with XDM.

The default timestamp field is required upon ingestion.

A marketer wants to send profile and attributes information to an RT-CDP Destination.Which destination option should the marketer choose to send profile and attributes information?

Amazon S3 cloud storage destination

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?

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.

In the Identity Graph Viewer, look up the customerlD.

Go to Segments > choose the segment > search for the profile in the samples below.

Go to Profiles > Browse and input my customerlD. Look at the segment membership tab.

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?

Create and save a new object field, then create a nested array object under the object field.

Create and save a new custom field group, then add an object array field to that field group.

Create and save a new object array field, then in the right rail select Convert to new data type.

Create and save a new string array field, then add a nested object field under the string array field.

Given the following segment definition: personalEmail.3ddress.isNotNull()and homeAddress.city.equalsrChicago", (rue) and homeAddress.statePfovince.equalsCIL". false) There is a profile that meets the criteria for the segment. Given the following segment job runs:T1: segment job run (no attribute changes)T2: segment job run (no attribute changes)T3: segment job run (homeAddress.crty attribute changed to Oakbrook)T4: segment job run (personalEmail.address value changes)What is the segement membership status at each time period?

Existing. Realized. Exited. Exited

Exited. Existing. Exited. Realized

Realized. Existing. Exited. Exited

Existing. Realized. Exited. Exited

Realized Exited. Existing. Exited

What is the difference between a data science training run and a data science scoring run?

A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.

A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run has occurred.

A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run has occurred.

A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run has occurred.

A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.

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?

2 CSV files in the format of filename.csv (containing 6 million records) filename_2.csv (containing 6 million records)

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)

1 CSV file in the format of: filename.csv (containing 12 million records)

2 CSV files in the format of filename.csv (containing 6 million records) filename_2.csv (containing 6 million records)

3 JSON files in the format of: filenamejson (containing 5 million records) filename_2json (containing 5 million records) filename.3json (containing 2 million records)

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?

dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')

format(p'atosaprod.custometCreateDate.dd-MM-yyyy')

format(date(_platosaprod.customerCreateDate),'dd-MM-yyyy')

dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')

date(_platosaprod.customerCreateDate.'dd-MM-yyyy')

An organization it migrating an m-house built customer database to Adobe Experience Platform. As part of the migration the services that are connected into the customer database must continue to work. One of those services is a Customer Care platform that is pulling the customer and product details using a REST API call. In AEP. the product details will be modeled using a custom XDM Class.The primary identity, product ID. will be linked to a Namespace with the type "Non People Identifier". That field will be used to create a relationship with the main Profile XDM schema.Which option should be used to allow the Customer Care to retrieve product details through the product ID?

Trigger an API event into Journey Optimizer and run a Journey to retrieve the product data

Use a SQL client in the Customer Care platform and connected into the AEP Query Service

Use a Runtime function in Adobe I/O that retrieves the product data using the Data Access API

Enable the products dataset for profile and use the Real-time Profile API

A data engineer creates a custom identity namespace within AEP. However, this custom Identity namespace is the wrong Identity type. What can the data engineer do to update the identity namespace?

Edit the Identity Namespace type within the AEP User-Interface under Identities.

Create a new custom Identity Namespace with the correct Identity type.

Using the Identity Namespace APIs, update the custom Identity type.

Edit the Identity Namespace type within the AEP User-Interface under Identities.

Delete the custom Identity Namespace from the AEP User-Interface under Identities.

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?

The Company ID and Hashed Employee Email must be combined in AEP data prep and passed as a unique primary identity.

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.

The Company ID and Hashed Employee Email must be combined in AEP data prep and passed as a unique primary identity.

The Company ID and Hashed Employee Email must be combined outside of AEP and passed as a unique primary identity.

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.

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?

iif(subscription.equals("Lite") &&subscriptiorvequ3ls("Standard") && sub$ctiption.eqoals("Pro"). subscription. el$e("5tandard"))

iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf "Standard"))

iif(subscription.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro'). 'Standard', subscription)

iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro"). subscription. "Standard")

Given the following: How should a data engineer ingest this data?

AEP Ul > Locate Dataset » Drag and drop the JSON filesB) C)

Adobe AD0-E600 Practice Test 1 - Free Online Exam Prep & Questions

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.

Sources > Data Flow

B.

Query service

C.

Dataset > Activity

D.

Monitoring > Batch

E.

Identities > Browse

Adobe AD0-E600 Practice Test 1

Question

Adobe AD0-E600 Practice Tests

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