Adobe Adobe Certifications AD0-E600 Questions & Answers

• Question 11:

  A data engineer it running some tests And tending in event data How should the data engineer validate that the event is properly attributed to the correct profiler

  A. Use the Dataset Preview to look at a few rows and see if data is in profile.

  B. Use Query service to query events

  C. Use the Identity Graph Viewer to view how the identities are mapped.

  D. Use profile lookup to view the events associated to a given profile.

  Correct Answer: D

• Question 12:

  A daily scheduled segmentation job has already run and completed. However, the data engineer recently created a new segment.

  Segment Name: Profile Qualification

  Segment ID: Safe34ae-Sc98-4Sl3-8a1d-67ccaaS4bc87

  The data engineer wants to evaluate this segment via API.

  How should the data engineer proceed?

  

  A. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: D

• Question 13:

  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

  Correct Answer: B

• Question 14:

  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. Option A

  B. Option B

  C. Option C

  D. Option D

  Correct Answer: D

• Question 15:

  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.

  Correct Answer: B

• Question 16:

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

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

  Correct Answer: C

• Question 17:

  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

  Correct Answer: D

• Question 18:

  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?

  A. Create a new dataflow and enable the backfill.

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

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

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

  Correct Answer: C

• Question 19:

  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?

  A. ID stitching: None Merge method: Dataset precedence

  B. ID stitching: None Merge method: Timestamp ordered

  C. ID stitching: Private graph Merge method: Dataset precedence

  D. ID stitching: Private graph Merge method: Timestamp ordered

  Correct Answer: A

• Question 20:

  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")

  Correct Answer: A