Adobe AD0-E600 Online Practice Questions and Exam Preparation

Adobe AD0-E600 Online Questions & Answers

• Question 21:

  A marketer has been tasked with setting up an export of a certain segment of their profile data to their cloud storage. Which two types of file export options are available to the marketer? (Choose two.)

  A. full
  B. Incremental
  C. Partial
  A. full
  C. Partial

• Question 22:

  What is model scoring in the Data Science Workspace?

  A. Building and evaluating a model
  B. Engineering features for a model
  C. Building a recipe
  D. Applying a model to a data set
  D. Applying a model to a data set

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  Explanation/Reference:

• Question 23:

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

  A. A sample of all successful batches in the dataset in the past 7 days
  B. A sample of the data structure of the XDM schema
  C. A sample of the most recent successful batch in the dataset
  D. A sample of all successful and failed batches in the dataset
  C. A sample of the most recent successful batch in the dataset

• Question 24:

  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?

  A. Use the Real-time Profile Ul to retrieve the Identity Map linked to the profile
  B. Use the Identity API to get the details of the Identity Namespace definition
  C. Use the Identity API to list the Identity Mappings for the email
  D. Use Identity graph viewer to retrieve the list of data sources
  C. Use the Identity API to list the Identity Mappings for the email

• Question 25:

  What it the appropriate identity namespacs for an email mat n coming in hashed'

  A. Email SHA256
  B. Email
  C. ECID
  D. Email MDS
  A. Email SHA256

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  Explanation/Reference:

• Question 26:

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

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

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  Explanation/Reference:

• Question 27:

  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?

  A. Exited. Existing. Exited. Realized
  B. Realized. Existing. Exited. Exited
  C. Existing. Realized. Exited. Exited
  D. Realized Exited. Existing. Exited
  B. Realized. Existing. Exited. Exited

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  Explanation/Reference:

• Question 28:

  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.equals("Lite") andandsubscriptiorvequ3ls("Standard") andand sub$ctiption.eqoals("Pro"). subscription. el$e("5tandard"))
  B. iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf "Standard"))
  C. iif(subscription.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro'). 'Standard', subscription)
  D. iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro"). subscription. "Standard")
  A. iif(subscription.equals("Lite") andandsubscriptiorvequ3ls("Standard") andand sub$ctiption.eqoals("Pro"). subscription. el$e("5tandard"))

• Question 29:

  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 XDM Schema
  B. Create a Field Group
  C. Create a XDM Class
  D. Create a Data Type
  D. Create a Data Type

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  Explanation/Reference:

• Question 30:

  A data engineer must set up a Streaming Connection with new authentication via the AEP Ul to stream non XDM data into an existing Dataset. How should the data engineer proceed?

  A. Sources > Streaming > HTTP API > New Account > Add Data > Select Data > Select Dataset > Finish
  B. Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > New Dataset > Finish
  C. Destination > Streaming > HTTP API > New Account > Select Data > Map Fields to XDM Select Dataset > Finish
  D. Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > Select Dataset > Finish
  D. Sources > Streaming > HTTP API > Add Data > New Account > Select Data > Map Fields to XDM > Select Dataset > Finish

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  Explanation/Reference: