QUESTION: 53

Data Cloud receives a nightly file of all ecommerce transactions from the previous day. Several segments and activations depend upon calculated insights from the updated data in order to maintain accuracy in the customer's scheduled campaign messages.

What should the consultant do to ensure the ecommerce data is ready for use for each of the scheduled activations?

Use Flow to trigger a change data event on the ecommerce data to refresh calculated insights and segments before the activations are scheduled to run.
Set a refresh schedule for the calculated insights to occur every hour.
Ensure the activations are set to Incremental Activation and automatically publish every hour.
Ensure the segments are set to Rapid Publish and set to refresh every hour.

Answer(s): A

Explanation:

The best option that the consultant should do to ensure the ecommerce data is ready for use for each of the scheduled activations is A. Use Flow to trigger a change data event on the ecommerce data to refresh calculated insights and segments before the activations are scheduled to run. This option allows the consultant to use the Flow feature of Data Cloud, which enables automation and orchestration of data processing tasks based on events or schedules. Flow can be used to trigger a change data event on the ecommerce data, which is a type of event that indicates that the data has been updated or changed. This event can then trigger the refresh of the calculated insights and segments that depend on the ecommerce data, ensuring that they reflect the latest data. The refresh of the calculated insights and segments can be completed before the activations are scheduled to run, ensuring that the customer's scheduled campaign messages are accurate and relevant. The other options are not as good as option A. Option B is incorrect because setting a refresh schedule for the calculated insights to occur every hour may not be sufficient or efficient. The refresh schedule may not align with the activation schedule, resulting in outdated or inconsistent data. The refresh schedule may also consume more resources and time than necessary, as the ecommerce data may not change every hour. Option C is incorrect because ensuring the activations are set to Incremental Activation and automatically publish every hour may not solve the problem. Incremental Activation is a feature that allows only the new or changed records in a segment to be activated, reducing the activation time and size. However, this feature does not ensure that the segment data is updated or refreshed based on the ecommerce data. The activation schedule may also not match the ecommerce data update schedule, resulting in inaccurate or irrelevant campaign messages. Option D is incorrect because ensuring the segments are set to Rapid Publish and set to refresh every hour may not be optimal or effective. Rapid Publish is a feature that allows segments to be published faster by skipping some validation steps, such as checking for duplicate records or invalid values. However, this feature may compromise the quality or accuracy of the segment data, and may not be suitable for all use cases. The refresh schedule may also have the same issues as option B, as it may not sync with the ecommerce data update schedule or the activation schedule, resulting in outdated or inconsistent data.

Reference:

Salesforce Data Cloud Consultant Exam Guide, Flow, Change Data Events, Calculated Insights, Segments, [Activation]

Reveal Solution Next Question

QUESTION: 54

Which two requirements must be met for a calculated insight to appear in the segmentation canvas?
Choose 2 answers

The metrics of the calculated insights must only contain numeric values.
The primary key of the segmented table must be a metric in the calculated insight.
The calculated insight must contain a dimension including the Individual or Unified Individual Id.
The primary key of the segmented table must be a dimension in the calculated insight.

Answer(s): C,D

Explanation:

A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas. There are two requirements that must be met for a calculated insight to appear in the segmentation canvas:
The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location. The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud. The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes. The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results.

Reference:

Create a Calculated Insight, Use Insights in Data Cloud, Segmentation

Reveal Solution Next Question

QUESTION: 55

A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?

Use a streaming API call to delete the customer's information.
Use Profile Explorer to delete the customer data from Data Cloud.
Use Consent API to request deletion of the customer's information.
Use the Data Rights Subject Request tool to request deletion of the customer's information.

Answer(s): C

Explanation:

The Data Rights Subject Request tool is a feature that allows Data Cloud users to manage customer requests for data access, deletion, or portability. The tool provides a user interface and an API to create, track, and fulfill data rights requests. The tool also generates a report that contains the customer's personal data and the actions taken to comply with the request. The consultant should use this tool to accommodate the customer's request for data deletion in Data Cloud.

Reference:

Data Rights Subject Request Tool, Create a Data Rights Subject Request

Reveal Solution Next Question

QUESTION: 56

What does the Ignore Empty Value option do in identity resolution?

Ignores empty fields when running any custom match rules
Ignores empty fields when running reconciliation rules
Ignores Individual object records with empty fields when running identity resolution rules
Ignores empty fields when running the standard match rules

Answer(s): B

Explanation:

The Ignore Empty Value option in identity resolution allows customers to ignore empty fields when running reconciliation rules. Reconciliation rules are used to determine the final value of an attribute for a unified individual profile, based on the values from different sources. The Ignore Empty Value option can be set to true or false for each attribute in a reconciliation rule. If set to true, the reconciliation rule will skip any source that has an empty value for that attribute and move on to the next source in the priority order. If set to false, the reconciliation rule will consider any source that has an empty value for that attribute as a valid source and use it to populate the attribute value for the unified individual profile.
The other options are not correct descriptions of what the Ignore Empty Value option does in identity resolution. The Ignore Empty Value option does not affect the custom match rules or the standard match rules, which are used to identify and link individuals across different sources based on their attributes. The Ignore Empty Value option also does not ignore individual object records with empty fields when running identity resolution rules, as identity resolution rules operate on the attribute level, not the record level.

Reference:

Data Cloud Identity Resolution Reconciliation Rule Input Configure Identity Resolution Rulesets
Data and Identity in Data Cloud

Reveal Solution Next Question

Free Data-Cloud-Consultant Exam Braindumps (page: 14)

QUESTION: 53

Explanation:

Reference:

QUESTION: 54

Explanation:

Reference:

QUESTION: 55

Explanation:

Reference:

QUESTION: 56

Explanation:

Reference: