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Q1.

What happens if no file name is specified in AWS S3 data stream during ingestion?

Answer: A


See the explanation below.

If no file name is specified in AWS S3 data stream during ingestion, the system does not fetch any file and the data stream shows an error. AWS S3 data stream is a feature that allows you to stream data from Amazon Web Services Simple Storage Service (AWS S3) to Data Cloud in near real time. You need to specify the file name or prefix of the files that you want to ingest from your S3 bucket. If you leave this field blank, the system cannot find any matching files and returns an error message. Reference:AWS S3 Data Stream


Q2.

What should be the type of the Event Time Field while ingesting Engagement data?

Answer: C


See the explanation below.

The type of the Event Time Field while ingesting Engagement data should be Immutable. Immutable means that the field value cannot be changed once it is ingested. The Event Time Field is a mandatory field for Engagement data that represents the timestamp of when an event occurred. It is important to keep this field immutable to ensure the accuracy and consistency of the event data. Reference:Engagement Data Model


Q3.

How do the Data streams that use the Marketing Cloud Connector refresh data?

Answer: B


See the explanation below.

The data streams that use the Marketing Cloud Connector refresh data using Marketing Cloud's Automation Studio. The Marketing Cloud Connector is a feature that allows you to stream data from Marketing Cloud to Data Cloud in near real time. The connector uses Automation Studio to schedule and run data extracts from Marketing Cloud data extensions and send them to Data Cloud via SFTP. You can configure the frequency and time of the data extracts in Automation Studio. Reference:Marketing Cloud Connector


Q4.

What is a DMO called if it inherits the name, shape, and semantics of the reference object?

Answer: B


See the explanation below.

A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. Reference:Data Model Objects


Q5.

Which of the following are characteristics of Formulas? (Choose 2)

Answer: A, B


See the explanation below.

These are two characteristics of Formulas. Formulas are a feature that allows you to create custom fields in the data model using simple logic on a row-based operation. For example, you can use a formula to create a field that concatenates the first name and last name of an individual. Formulas are easy to use and self-service, meaning that you can create them without coding or complex queries. You can use formulas to enrich your data and create more meaningful segments and insights. Reference:Formulas


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