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Data-Cloud-Consultant Practice Questions

Question # 1
What is the result of a segmentation criteria filtering on City | Is Equal To | 'San José'?
A. Cities containing 'San José’, 'San Jose’, 'san jose’, or 'san jose’
B. Cities only containing 'San Jose' or 'san jose’
C. Cities only containing 'San Jose' or 'San Jose'
D. Cities only containing 'San José’ or 'san josé'


D. Cities only containing 'San José’ or 'san josé'

Explanation: The result of a segmentation criteria filtering on City | Is Equal To | ‘San José’ is cities only containing 'San José’ or ‘san josé’. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter1. Therefore, cities containing 'San Jose’, 'san jose’, or ‘San Jose’ will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name ‘San José’, you would need to use the OR operator and add multiple filter values, such as ‘San José’ OR ‘San Jose’ OR ‘san jose’ OR 'san josé’2. 
References: Segmentation Criteria, Segmentation Operators

Question # 2
A customer has a requirement to be able to view the last time each segment was published within their Data Cloud org. Which two features should the consultant recommend to best address this requirement? Choose 2 answers
A. Profile Explorer
B. Calculated insight
C. Dashboard
D. Report


C. Dashboard
D. Report

Explanation: A customer who wants to view the last time each segment was published within their Data Cloud org can use the dashboard and report features to achieve this requirement. A dashboard is a visual representation of data that can show key metrics, trends, and comparisons. A report is a tabular or matrix view of data that can show details, summaries, and calculations. Both dashboard and report features allow the user to create, customize, and share data views based on their needs and preferences. To view the last time each segment was published, the user can create a dashboard or a report that shows the segment name, the publish date, and the publish status fields from the segment object. The user can also filter, sort, group, or chart the data by these fields to get more insights and analysis. The user can also schedule, refresh, or export the dashboard or report data as needed. 
References: Dashboards, Reports

Question # 3
What does the Ignore Empty Value option do in identity resolution?
A. Ignores empty fields when running any custom match rules
B. Ignores empty fields when running reconciliation rules
C. Ignores Individual object records with empty fields when running identity resolution rules
D. Ignores empty fields when running the standard match rules


B. Ignores empty fields when running reconciliation rules




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.

Question # 4
A consultant needs to publish segment data to the Audience DMO that can be retrieved using the Query APIs. When creating the activation target, which type of target should the consultant select?
A. Data Cloud
B. External Activation Target
C. Marketing Cloud Personalization
D. Marketing Cloud


B. External Activation Target

Explanation: Purpose of Activation Targets:
Activation targets define where and how segment data is published for use in various applications and platforms.
Reference: Salesforce Data Cloud Activation Overview

Types of Activation Targets:

Data Cloud: Internal target within Salesforce Data Cloud.
External Activation Target: Used to publish data outside Salesforce, accessible via APIs.
Marketing Cloud Personalization: Specific to Salesforce Marketing Cloud.
Marketing Cloud: Broader Salesforce Marketing Cloud integration. Reference: Salesforce Activation Target Types

Choosing the Right Target:

For retrieving segment data using Query APIs, an external activation target is appropriate as it facilitates data access from outside systems.
Reference: Salesforce External Activation Target Guide

Steps to Create an External Activation Target:
Navigate to the activation settings in Salesforce Data Cloud.

Select "Create New Activation Target" and choose "External Activation Target." Configure the target with the necessary API details for external access.
Reference: Salesforce Activation Target Setup Documentation

Question # 5
A healthcare client wants to make use of identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII). Which matching rule criteria should a consultant recommend for the most accurate matching results?
A. Party Identification on Patient ID
B. Exact Last Name and Emil
C. Email Address and Phone
D. Fuzzy First Name, Exact Last Name, and Email


A. Party Identification on Patient ID

Explanation: Identity resolution is the process of linking data from different sources into a unified profile of a customer or an individual. Identity resolution uses matching rules to compare the attributes of different records and determine if they belong to the same person. Matching rules can be based on exact or fuzzy matching of various attributes, such as name, email, phone, address, or custom identifiers. A healthcare client who wants to use identity resolution, but does not want to risk unifying profiles that may share certain personally identifying information (PII), such as name or email, should use a matching rule criteria that is based on a unique and reliable identifier that is specific to the healthcare domain. One such identifier is the patient ID, which is a unique number assigned to each patient by a healthcare provider or system. By using the party identification on patient ID as a matching rule criteria, the healthcare client can ensure that only records that have the same patient ID are matched and unified, and avoid false positives or false negatives that may occur due to common or similar names or emails. The party identification on patient ID is also a secure and compliant way of handling sensitive healthcare data, as it does not expose or share any PII that may be subject to data protection regulations or standards. 
References: Configure Identity Resolution Rulesets, A framework of identity resolution: evaluating identity attributes and methods

Question # 6
A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?
A. Use Data Cloud to connect with analytic tools, like Tableau.
B. Use calculated insights to determine when and how to engage with various customers.
C. Create segments based on the ingested data and insights to activate in Marketing Cloud.
D. Use Data Cloud to ingest data from various available data sources.


D. Use Data Cloud to ingest data from various available data sources.


Question # 7
A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants. How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?
A. Place the attribute for product color in one container and the attribute for product type in another container.
B. Place an attribute for the "black" calculated insight to dynamically apply
C. Place the attributes for product and product type as direct attributes.
D. Place the attributes for product color and product type in a single container.


D. Place the attributes for product color and product type in a single container.

Explanation:
To create a segment based on the product color and product type from the Order Product object, the consultant should place the attributes for product color and product type in a single container. This way, the segment will include only the customers who have purchased black pants, and not those who have purchased black shirts or blue pants. A container is a grouping of attributes that defines a segment of individuals based on a logical AND operation. Placing the attributes in separate containers would result in a segment that includes customers who have purchased any black product or any pants product, which is not the desired criteria. Placing an attribute for the “black” calculated insight would not work, because calculated insights are based on aggregated data and not individual-level data. Placing the attributes as direct attributes would not work, because direct attributes are used to filter individuals based on their profile data, not their order data.
References:
Create a Segment in Data Cloud Learn About Segmentation Tools Salesforce Launches: Data Cloud Consultant Certification

Question # 8
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?
A. Data model objects
B. Segments
C. Calculated insights
D. Identity resolution rulesets


A. Data model objects
D. Identity resolution rulesets

Explanation:

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 rule sets: 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 resolution.

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Salesforce Data-Cloud-Consultant Exam Dumps

Exam Name: Salesforce Certified Data Cloud Consultant (WI25)
Certification Name: Salesforce Data Cloud

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