Question 1

An organization wants to enable users with the ability to identify and select text attributes from a picklist of options. Which Data Cloud feature can help with this use
case?

Accepted Answer

Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to
standardize values across different data sources and improve data quality. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm&type=5

Question 2

Which two dependencies can prevent a Data Stream from being deleted?

Accepted Answer

A data stream cannot be deleted if any of its attributes are mapped to a Data Model object or used in a Calculated Insight3. These dependencies need to be
removed before deleting the data stream.

Question 3

Which two statements are true about using consent API and exercising right to be forgotten?

Accepted Answer

These two statements are true about using consent API and exercising right to be forgotten. Data deletion requests are reprocessed at regular intervals to ensure
that any new data related to the individual is deleted. Data deletion requests are submitted for individual profiles that represent unique identities in Data Cloud.
References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5

Question 4

How can attribute names be modified to match a naming convention in Cloud File Storage target?

Accepted Answer

You can modify the attribute names in the data model by editing the field label or API name of the corresponding field. This will change how the attribute name
appears in the Cloud File Storage target. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type= 5

Question 5

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

Accepted Answer

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. References: AWS S3 Data Stream

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Question 6

Which of the following cannot be used in Segmentation? (Choose 2)

Accepted Answer

Text Measures and Date Time Measures cannot be used in Segmentation. Segmentation is the process of creating filtered audience segments based on
calculated insights. Calculated insights are metrics that define and calculate multidimensional measures on your data. Only Numeric Measures can be used as
calculated insights, because they can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. Text Measures and Date Time Measures are not
types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures
and Dimensions

Question 7

The website team at Cumulus Financial Services wants to understand which identified users have browsed the jobs page on their website at least twice within the
last 12 hours. Which component should a consultant recommend to achieve this goal?

Accepted Answer

This component should be recommended to achieve the goal of understanding which identified users have browsed the jobs page on their website at least twice
within the last 12 hours. Streaming Insight allows you to query and filter data from real-time streams using window functions and aggregation functions.
References: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5

Question 8

What can be customized in the Data Cloud canonical model?

Accepted Answer

You can customize the Data Cloud canonical model by adding, editing, or deleting objects, fields, and relationships. You can also modify the properties, labels,
and descriptions of these components. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_canonical_model.htm& type=5

Question 9

A segment fails to refresh with the error "Segment references too many Data Lake Objects (DLOs)". What are two remedies for this issue?

Accepted Answer

These two remedies can help resolve the error ??Segment references too many Data Lake Objects (DLOs)??. Spacing out the segment schedules can reduce
the concurrent load on the Data Lake Objects and improve performance. Splitting the segment into smaller segments can reduce the number of Data Lake Objects
that are referenced by each segment. References: https://help.salesforce.com/s/articleView?

Question 10

Which two characteristics describe the Customer 360 data model?

Accepted Answer

The Customer 360 data model is a conceptual model and a canonical model. A conceptual model is a high-level representation of the entities and relationships in
a domain of interest, without specifying any implementation details. A canonical model is a common and consistent data model that can be used across different
systems and applications. References: [Customer 360 Data Model Overview], [Conceptual Model], [Canonical Model]

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