Maximum Grades By Making ready With AD0-E600 Dumps UPDATED 2023 [Q27-Q45]

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Maximum Grades By Making ready With AD0-E600 Dumps UPDATED 2023

Prepare AD0-E600 Exam Questions [2023] Recently Updated Questions

Adobe AD0-E600 (Adobe Experience Platform Technical Foundations) certification exam is designed for individuals who want to showcase their expertise in using Adobe Experience Cloud. AD0-E600 exam is intended for those who are responsible for implementing and configuring Adobe Experience Platform solutions. Adobe Experience Platform Technical Foundations certification exam is a great way to prove to potential employers that you have the knowledge and skills to work with Adobe Experience Platform.

Q27. 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 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.

Q28. 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 data. 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

Rename the existing field

Assign the field a new data type

Q29. A data engineer exports segmented Real-time Customer Profile data to a new dataset called “Profile Export”.
The data engineer needs to directly download the data from the Profile Export dataset using the Data Access API.
Which file format is supported for this use case?

JSON

CSV

Parquet

Blob

Q30. In an AEP implementation, an SFTP source setup performs daily imports. A marketer notices that the segment volumes linked to that data source have dropped in the last days. After a root cause analysis, it is identified that the dataflow that manages the SFTP import has been disabled by mistake.
The missing files must be ingested in AEP, and the daily import must be re-started.
How should these tasks be performed?

Create a new dataflow and enable the backfill.

Re-enable the dataflow and create one-time dataflows per missing file.

Re-enable the dataflow and change the starting date to be the date that the dataflow was disabled

Re-enable the dataflow, and it will automatically upload the missing files.

Q31. 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.)

Sources > Data Flow

Query service

Dataset > Activity

Monitoring > Batch

Identities > Browse

Q32. What is the difference between a data science training run and a data science scoring run?

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.

Q33. What it the appropriate identity namespacs for an email mat n coming in hashed’

Email SHA256

ECID

Email MDS

Q34. 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)

Option A

Option B

Option C

Option D

Q35. A data engineer needs to bong m data via cloud storage sources into the Platform Which two data formats can the data engineer ingest? (Choose two.)

TSV

AVRO

XMKL

JSON

CSV

Q36. 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.

Q37. 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 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.

Q38. A data engineer has a file they must ingest with all string fields. The engineer must keep precision of the data when converting string fields to numeric fields. Which two functions could the the data engineer use when making this conversion? (Choose two.)

To.bigint

To.object

To .integer

To.float

To_decimal

Q39. 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?

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)

Q40. 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 (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.

Q41. 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 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

Q42. 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 6 must each be enabled for Real-time Customer Profile.

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

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

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

Both schemas should have the same fields marked as identities.

Q43. A marketer needs to quickly validate that data ingested into a dataset processed to Profile successfully. Using the AEPinwhich two ways can the marketer perform this task? (Choose two.)

Sources > Data Flow

Query service

Dataset > Activity

Monitoring > Batch

Identities > Browse

Q44. A data engineer is ingesting the transactional information from an ecommerce platform through a daily feed.
In AEP, one Experience Event-based schema will collect the purchase events from this feed.
The eventType field of the schema must be populated with “commerce.purchases’ if in a CSV record in which the column ‘pure ha sesf arid ate’ and ‘purchaseenddate” happen on the same day, If the “purchasee/irfdate” is set to a later date, the eventType should be *commerce._orgtenant.cancer.
Both dates follow the same format “yyyy-MM-dd’T’HH:mm:ss.SSS’Z~. and the “purchaseenddate’ is always populated.
How should the data engineer create a Calculated Field that can be used to populate the eventType according to the required logic?

Q45. 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)