Free Adobe AD0-E600 Exam Dumps Questions & Answers

Given the following:

How should a data engineer ingest this data?

• A.AEP Ul > Locate Dataset » Drag and drop the JSON files
• B.
• C.

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

Which choices explain the data lineage that DULE enforces?

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

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.Parquet
• B.JSON
• C.Blob
• D.CSV

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 scoring run requires that a training run has occurred.
• B.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.
• C.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.
• 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 has occurred.