Free Salesforce Certified Data 360 Consultant (Data-Con-101) Practice Questions

Question # 21

A Data 360 Consultant wants to display related engagement records from external systems on the Contact record page using a standard related list in Data 360.

What step must they complete before setting up the related list?

Options:

Include the external engagement data in a calculated insight.

Enable the engagement data for segmentation.

Establish a relationship between the Individual data model object (DMO) and the Engagement DMO.

Ingest the data stream as a streaming connector.

Discussion 0

Question # 22

A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data 360. Where does a request for Data Deletion or Right to Be Forgotten get submitted?

Options:

In Data 360 settings

Through Consent API

In Marketing Cloud settings

On the individual data profile in Data 360

Discussion 0

Question # 23

Which statement about query federation in Data 360 is true?

Options:

Query federation requires file-based data lakes such as Iceberg.

Data 360 executes queries using its own compute engine, regardless of the external system.

Query federation pushes SQL queries to the external system ' s compute layer.

Query federation requires data to be first converted to parquet format.

Discussion 0

Question # 24

A Data 360 Consultant is working with data that is clean and organized. However, the various schemas refer to a person by multiple names—such as user, contact, and subscriber—and need a standard mapping.

Which term describes the process of mapping these different schema points into a standard data model?

Options:

Transform

Segment

Harmonize

Unify

Discussion 0

Question # 25

When reporting on calculated insights in Salesforce, what is a critical limitation a Data 360 Consultant must keep in mind regarding data freshness?

Options:

The data reflects the state of the last time the insight was batch processed.

Calculated insights can only be reported on if they contain fewer than 2,000 total rows.

Insights are only available in reports if they have been " Activated " to a Marketing Cloud engagement.

Calculated insights are only updated once every 24 hours.

Discussion 0

Question # 26

A Data 360 Consultant wants to perform aggregations in 15-minute windows on data collected via the Interactions SDK or Mobile SDK. Which method should the consultant use?

Options:

Batch transform

Streaming insight

Formula fields

Calculated insight

Discussion 0

Question # 27

A data science team has developed a custom propensity- to- churn model in Amazon SageMaker. The company wants to use this model to score its Unified Profiles in Data 360 and use those scores for a high- priority retention segment. The Data 360 Consultant needs to ensure the data is not duplicated or moved out of Data 360 during this process. Which feature should the consultant use to integrate this model?

Options:

Einstein Studio Bring Your Own Model (BYOM)

Model Builder in Prompt Builder

Streaming Data Transforms

Ingestion API

Discussion 0

Question # 28

A Data 360 Consultant needs to build a model on Einstein Studio to predict the time- to- close of an opportunity brought into Data 360 from CRM. Based on the supported model types, which statement is true?

Options:

The consultant should use a Multiclass Classification model to bucket the time-to-close into specifications.

The consultant should use a Binary Classification model to determine if the time-to-close is long or short.

The consultant should use a Multiclass Classification model because the outcome is represented as text data.

The consultant should use a Regression model because the target outcome is a numeric measure.

Discussion 0

Question # 29

What is a reason to create a formula when ingesting a data stream?

Options:

To concatenate files so they are ingested in the correct sequence

To remove duplicate rows of data from the data stream

To add a unique external identifier to an existing ruleset

To transform a datetime field into a date field for use in data mapping

Discussion 0

Question # 30

A Data 360 Consultant recently discovered that their Identity Resolution process is matching individuals who share email addresses or phone numbers but are not actually the same individual. What should the consultant do to address this issue?

Options:

Modify the existing ruleset to use fewer matching rules, run the ruleset and review the updated results, and then adjust as needed until the individuals are matching correctly.

Modify the existing ruleset with stricter matching criteria, run the ruleset and review the updated results, and then adjust as needed until the individuals are matching correctly.

Create and run a new ruleset with fewer matching rules, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.

Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.

Discussion 0