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Salesforce Data-Cloud-Consultant Exam Sample Questions

Question # 1

Where is value suggestion for attributes in segmentation enabled when creating the DMO?

A. Data Mapping

B. Data Transformation

C. Segment Setup

D. Data Stream Setup

Answer

C. Segment Setup

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Question # 2

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

Answer

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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Question # 3

Cloud Kicks wants to be able to build a segment of customers who have visited its website within the previous 7 days. Which filter operator on the Engagement Date field fits this use case?

A. Is Between

B. Greater than Last Number of

C. Next Number of Days

D. Last Number of Days

Answer

D. Last Number of Days

Explanation: The filter operator Last Number of Days allows you to filter on date fields using a relative date range that specifies the number of days before today. For example, you can use this operator to filter on customers who have visited your website in the last 7 days, or the last 30 days, or any number of days you want. This operator is useful for creating dynamic segments that update automatically based on the current date12.
References:
Relative Date Filter Reference Create Filtered Segments

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Question # 4

A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via an SFTP site. How should the file be brought into Data Cloud?

A. Ingest the file with the SFTP Connector.

B. Ingest the file through the Cloud Storage Connector.

C. Manually import the file using the Data Import Wizard.

D. Use Salesforce's Dataloader application to perform a bulk upload from a desktop.

Answer

A. Ingest the file with the SFTP Connector.

Explanation:

A. The SFTP Connector is a data source connector that allows Data Cloud to ingest data from an SFTP server. The customer can use the SFTP Connector to create a data stream from their exported file and bring it into Data Cloud as a data lake object. The other options are not the best ways to bring the file into Data Cloud because:

B. The Cloud Storage Connector is a data source connector that allows Data Cloud to ingest data from cloud storage services such as Amazon S3, Azure Storage, or Google Cloud Storage. The customer does not have their data in any of these services, but only on an SFTP site.

C. The Data Import Wizard is a tool that allows users to import data for many standard Salesforce objects, such as accounts, contacts, leads, solutions, and campaign members. It is not designed to import data from an SFTP site or for custom objects in Data Cloud.

D. The Dataloader is an application that allows users to insert, update, delete, or export Salesforce records. It is not designed to ingest data from an SFTP site or into Data Cloud. References: SFTP Connector - Salesforce, Create Data Streams with the SFTP Connector in Data Cloud -Salesforce, Data Import Wizard - Salesforce, Salesforce Data Loader

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Question # 5

How does Data Cloud ensure data privacy and security?

A. By encrypting data at rest and in transit

B. By enforcing and controlling consent references

C. By securely storing data in an offsite server

D. BY limiting data access to authorized admins

Answer

A. By encrypting data at rest and in transit

Explanation:
Data Privacy and Security in Data Cloud: Ensuring data privacy and security is paramount in Salesforce Data Cloud. Reference: Salesforce Data Privacy and Security Overview
Key Security Measures:

Encrypting Data at Rest and in Transit:
Data encryption ensures that information is protected from unauthorized access both when stored and when transmitted.
Reference: Salesforce Encryption Documentation

Enforcing and Controlling Consent Preferences:

Consent management ensures that data usage complies with customer permissions and regulatory requirements.

Reference: Salesforce Consent Management Guide
Steps to Implement Security Measures:

Data Encryption:

Enable encryption for data at rest using Salesforce Shield. Ensure TLS/SSL encryption is used for data in transit.
Consent Management:

Set up and enforce consent preferences within Data Cloud. Regularly audit and update consent records.

Reference: Salesforce Shield Encryption and Consent Management Implementation Guide

Practical Application:

Example: A financial institution uses encryption to secure customer financial data and manages consent to comply with GDPR.
Reference: Salesforce Data Privacy Case Studies

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