Question No. 1

Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new

line of business. The new business specializes in gourmet camping food. For business reasons as well

as security reasons, it's important to NTO to keep all Data Cloud data separated by brand.

Which capability best supports NTO's desire to separate its data by brand?

AData streams for each brand

BData model objects for each brand

CData spaces for each brand

DData sources for each brand

Show Answer

Correct Answer: C

Data spaces are logical containers that allow you to separate and organize your data by different criteria, such as brand, region, product, or business unit1.Data spaces can help you manage data access, security, and governance, as well as enable cross-cloud data integration and activation2. For NTO, data spaces can support their desire to separate their data by brand, so that they can have different data models, rules, and insights for their outdoor lifestyle clothing and gourmet camping food businesses.Data spaces can also help NTO comply with any data privacy and security regulations that may apply to their different brands3. The other options are incorrect because they do not provide the same level of data separation and organization as data spaces.Data streams are used to ingest data from different sources into Data Cloud, but they do not separate the data by brand4.Data model objects are used to define the structure and attributes of the data, but they do not isolate the data by brand5. Data sources are used to identify the origin and type of the data, but they do not partition the data by brand.

Question No. 2

A consultant is reviewing a recent activation using engagement-based related attributes but is not seeing any related attributes in their payload for the majority of their segment members.

Which two areas should the consultant review to help troubleshoot this issue?

Choose 2 answers

AThe related engagement events occurred within the last 90 days.

BThe activations are referencing segments that segment on profile data rather than engagement data.

CThe correct path is selected for the related attributes.

DThe activated profiles have a Unified Contact Point.
Engagement-based related attributes are attributes that describe the interactions of a person with an email message, such as opens, clicks, unsubscribes, etc. These attributes are stored in the Engagement data model object (DMO) and can be added to an activation to send more personalized communications. However, there are some considerations and limitations when using engagement-based related attributes, such as:
For engagement data, activation supports a90-day lookback window. This means that only the attributes from the engagement events that occurred within the last 90 days are considered for activation. Any records outside of this window are not included in the activation payload. Therefore, the consultant should review the event time of the related engagement events and make sure they are within the lookback window.
The correctpathto the related attributes must be selected for the activation. A path is a sequence of DMOs that are connected by relationships in the data model. For example, the path from Individual to Engagement is Individual -> Email -> Engagement. The path determines which related attributes are available for activation and how they are filtered. Therefore, the consultant should review the path selection and make sure it matches the desired related attributes and filters.
The other two options are not relevant for this issue. The activations can reference segments that segment on profile data rather than engagement data, as long as the activation target supports related attributes. The activated profiles do not need to have a Unified Contact Point, which is a unique identifier for a person across different data sources, to activate engagement-based related attributes.

Show Answer

Correct Answer: A, C

Question No. 3

A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.

Where does a request for data deletion or right to be forgotten get submitted?

AIn Data Cloud settings

BOn the individual data profile in Data Cloud

CIn Marketing Cloud settings

Dthrough Consent API

Show Answer

Correct Answer: C

Data Deletion Requests: For companies using Salesforce Marketing Cloud and Data Cloud, managing data privacy and deletion requests is essential.

Marketing Cloud Connector: This connector facilitates data integration between Marketing Cloud and Data Cloud, but data deletion requests must follow specific procedures.

Deletion Requests in Marketing Cloud:

Data Management: Requests for data deletion or the right to be forgotten are submitted through Marketing Cloud settings, where the customer data is originally stored and managed.

Propagation: Once the request is processed in Marketing Cloud, the changes are propagated to Data Cloud through the connector.

Salesforce Marketing Cloud Documentation: Data Management

Salesforce Data Cloud Connector Guide

Question No. 4

A consultant needs to package Data Cloud components from one

organization to another.

Which two Data Cloud components should the consultant include in a

data kit to achieve this goal?

Choose 2 answers

AData model objects

BSegments

CCalculated insights

DIdentity resolution rulesets

Show Answer

Correct Answer: A, D

To package Data Cloud components from one organization to another, the consultant should include the following components in a data kit:

Data model objects: These are the custom objects that define the data model for Data Cloud, such as Individual, Segment, Activity, etc.They store the data ingested from various sources and enable the creation of unified profiles and segments1.

Identity resolution rulesets: These are the rules that determine how data from different sources are matched and merged to create unified profiles.They specify the criteria, logic, and priority for identity resolution2.

1: Data Model Objects in Data Cloud

2: Identity Resolution Rulesets in Data Cloud

Question No. 5

A Data Cloud Consultant Is in the process of setting up data streams for a new service-based data source.

When ingesting Case data, which field is recommended to be associated with the Event Time field?

ALast Modified Date

BResolution Date

CEscalation Date

DCreation Date

Show Answer

Correct Answer: A

: The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases.

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The questions for Data-Cloud-Consultant were last updated On Nov 20, 2024