Adobe AD0-E600 Online Practice Questions and Exam Preparation

Adobe AD0-E600 Online Questions & Answers

• Question 31:

  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?

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  D. Option D

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  Explanation/Reference:

• Question 32:

  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. Option A
  B. Option B
  C. Option C
  C. Option C

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  Explanation/Reference:

• Question 33:

  Given thefollowing:

  

  How should a data engineer ingest this data?

  

  A. Option A
  B. Option B
  C. Option C
  A. Option A

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  Explanation/Reference:

• Question 34:

  A data engineer is bringing in audience definitions into Adobe Experience Platform from external sources. Which standard Experience Data Model (XDM) class should the data engineer use?

  A. Segment Definition
  B. XDM ExperienceEvent
  C. XDM Individual Profile
  D. Profile Definition
  A. Segment Definition

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  Explanation/Reference:

• Question 35:

  Which service allows a data engineer to look up all metadata for a given batch ID via API?

  A. Catalog API
  B. Data Ingestion API
  C. Datasets API
  D. Sandbox API
  B. Data Ingestion API

• Question 36:

  Which choices explain the data lineage that DULE enforces?

  A. Schema. Dataset Profile. Segment
  B. Dataset. Merge Policy. Segment Destination
  C. XDM. Source, Profile. Export
  D. Source. Merge Policy. Segment. Destination
  D. Source. Merge Policy. Segment. Destination

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  Explanation/Reference:

• Question 37:

  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?

  A. JSON
  B. CSV
  C. Parquet
  D. Blob
  A. JSON

• Question 38:

  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?

  A. Remove the previously defined field
  B. Make the current mandatory field optional
  C. Rename the existing field
  D. Assign the field a new data type
  B. Make the current mandatory field optional

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  Explanation/Reference:

• Question 39:

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

  A. 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 hasoccurred.
  B. 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 hasoccurred.
  C. 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 hasoccurred.
  D. 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 hasoccurred.
  B. 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 hasoccurred.

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  Explanation/Reference:

• Question 40:

  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?

  A. Trigger an API event into Journey Optimizer and run a Journey to retrieve the product data
  B. Use a SQL client in the Customer Care platform and connected into the AEP Query Service
  C. Use a Runtime function in Adobe I/O that retrieves the product data using the Data Access API
  D. Enable the products dataset for profile and use the Real-time Profile API
  D. Enable the products dataset for profile and use the Real-time Profile API

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  Explanation/Reference: