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Salesforce Data-Cloud-Consultant Exam Sample Questions

Question # 1

A Data Cloud consultant is evaluating the initial phase of the Data Cloud lifecycle for a company. Which action is essential to effectively begin the Data Cloud lifecycle?

A. Identify use cases and the required data sources and data quality.

B. Analyze and partition the data into data spaces.

C. Migrate the existing data into the Customer 360 Data Model.

D. Use calculated insights determine the benefits of Data Cloud for this company.

Answer

A. Identify use cases and the required data sources and data quality.

Explanation: Data Cloud Lifecycle: The initial phase of the Salesforce Data Cloud lifecycle is critical for setting the foundation for successful data integration and utilization. Identifying Use Cases: Importance: Defining clear use cases helps in understanding the business objectives and how Data Cloud can address them. Required Data Sources: Identifying the necessary data sources ensures that relevant data is ingested into Data Cloud. Data Quality: Assessing data quality is essential for accurate and reliable data analysis and insights. Actions: Step 1: Engage with stakeholders to define specific use cases for Data Cloud. Step 2: Identify and catalog the required data sources for these use cases. Step 3: Evaluate the quality of data from these sources to ensure they meet the standards for effective data analysis. References: Salesforce Data Cloud Implementation Guide Salesforce Data Cloud Lifecycle

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Question # 2

A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours. Which two areas should a consultant review to troubleshoot this issue? Choose 2 answers

A. Review data transformations to ensure they're run after calculated insights.

B. Review calculated insights to make sure they're run before segments are refreshed.

C. Review segments to ensure they're refreshed after the data is ingested.

D. Review calculated insights to make sure they're run after the segments are refreshed.

Answer

B. Review calculated insights to make sure they're run before segments are refreshed.
C. Review segments to ensure they're refreshed after the data is ingested.

Explanation:

The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they’re run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments

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Question # 3

Which two common use cases can be addressed with Data Cloud? Choose 2 answers

A. Understand and act upon customer data to drive more relevant experiences.

B. Govern enterprise data lifecycle through a centralized set of policies and processes.

C. Harmonize data from multiple sources with a standardized and extendable data model.

D. Safeguard critical business data by serving as a centralized system for backup and disaster recovery.

Answer

A. Understand and act upon customer data to drive more relevant experiences.
C. Harmonize data from multiple sources with a standardized and extendable data model.

Explanation: Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the common use cases that can be addressed with Data Cloud are: 

Understand and act upon customer data to drive more relevant experiences. Data Cloud can help customers gain a 360-degree view of their customers by unifying data from different sources and resolving identities across channels. Data Cloud can also help customers segment their audiences, create personalized experiences, and activate data in any channel using insights and AI. 

Harmonize data from multiple sources with a standardized and extendable data model. Data Cloud can help customers transform and cleanse their data before using it, and map it to a common data model that can be extended and customized. Data Cloud can also help customers create calculated insights and related attributes to enrich their data and optimize identity resolution. 

The other two options are not common use cases for Data Cloud. Data Cloud does not provide data governance or backup and disaster recovery features, as these are typically handled by other Salesforce or external solutions. 

References: Learn How Data Cloud Works About Salesforce Data Cloud Discover Use Cases for the Platform Understand Common Data Analysis Use Cases

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Question # 4

Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users. What should the consultant do to accomplish this?

A. Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.

B. Use formula fields based on the Account Country field to filter incoming records.

C. Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.

D. Use the data spaces feature and apply filtering on the Account data lake object based on Country.

Answer

A. Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.

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Question # 5

Cloud Kicks received a Request to be Forgotten by a customer. In which two ways should a consultant use Data Cloud to honor this request? Choose 2 answers

A. Delete the data from the incoming data stream and perform a full refresh.

B. Add the Individual ID to a headerless file and use the delete from file functionality.

C. Use Data Explorer to locate and manually remove the Individual.

D. Use the Consent API to suppress processing and delete the Individual and related records from source data streams.

Answer

B. Add the Individual ID to a headerless file and use the delete from file functionality.
D. Use the Consent API to suppress processing and delete the Individual and related records from source data streams.

Explanation:
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity’s identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
Delete Individuals from Data Cloud Requesting Data Deletion or Right to Be Forgotten Data Refresh for Data Cloud [Data Explorer]

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