Salesforce SALESFORCE-DATA-CLOUD Online Practice Questions and Exam Preparation

Salesforce SALESFORCE-DATA-CLOUD Online Questions & Answers

• Question 111:

  Which consideration related to the way Data Cloud ingests CRM data is true?

  A. CRM data cannot be manually refreshed and must wait for the next scheduled synchronization,
  B. The CRM Connector's synchronization times can be customized to up to 15-minute intervals.
  C. Formula fields are refreshed at regular sync intervals and are updated at the next full refresh.
  D. The CRM Connector allows standard fields to stream into Data Cloud in real time.
  D. The CRM Connector allows standard fields to stream into Data Cloud in real time.

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  Explanation

  The correct answer is D. The CRM Connector allows standard fields to stream into Data Cloud in real time. This means that any changes to the standard fields in the CRM data source are reflected in Data Cloud almost instantly, without waiting for the next scheduled synchronization. This feature enables Data Cloud to have the most up-to-date and accurate CRM data for segmentation and activation 1. The other options are incorrect for the following reasons:

  A. CRM data can be manually refreshed at any time by clicking the Refresh button on the data stream detail page2. This option is false.

  B. The CRM Connector's synchronization times can be customized to up to 60-minute intervals, not 15-minute intervals3. This option is false.

  C. Formula fields are not refreshed at regular sync intervals, but only at the next full refresh4. A full refresh is a complete data ingestion process that occurs once every 24 hours or when manually triggered. This option is false. 1: Connect and Ingest Data in Data Cloud article on Salesforce Help 2: Data Sources in Data Cloud unit on Trailhead 3: Data Cloud for Admins module on Trailhead 4: [Formula Fields in Data Cloud] unit on Trailhead [Data Streams in Data Cloud] unit on Trailhead

• Question 112:

  What is the first step to set up and configure a Data Cloud instance after it has been provisioned?

  A. Complete the Salesforce Data Cloud "Get Started'' process
  B. Connect to the Marketing Cloud Account Data Cloud is provisioned in
  C. Enable Customer Data Cloud Admin permission set to the relevant Salesforce CRM user
  D. Connect to the Salesforce CRM org Data Cloud is provisioned in
  D. Connect to the Salesforce CRM org Data Cloud is provisioned in

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  Explanation

  This is the first step to set up and configure a Data Cloud instance after it has been provisioned. The customer needs to connect to the Salesforce CRM org that Data Cloud is provisioned in, using the Salesforce CRM connector. This will allow Data Cloud to access the CRM data and map it to the Customer 360 data model.

• Question 113:

  What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?

  A. Review consent and privacy management policies
  B. Obtain cross-organizational buy-in
  C. Identify activation targets
  D. Identify data sources
  B. Obtain cross-organizational buy-in

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  Explanation

  This is the first thing a business stakeholder should focus on when considering a Data Cloud implementation. Obtaining cross-organizational buy-in involves aligning the goals and expectations of different teams and stakeholders who will use or contribute to Data Cloud.

  References:

  https://trailhead.salesforce.com/content/learn/modules/customer-data-platform-basics/get-started-with-customer-data-platform

• Question 114:

  Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?

  A. Marketing Cloud Connect API
  B. Email Studio Starter Data Bundle
  C. Profile attributes are not yet supported
  D. Automation Studio and Profile API
  D. Automation Studio and Profile API

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  Explanation

  This option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis. You can use Automation Studio to export profile attributes to a data extension and use the Profile API to send them to Data Cloud.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5

• Question 115:

  How does Identity Resolution select attributes for Unified Individuals when there is conflicting information in the Data Model?

  A. Create additional Rule Sets
  B. Leverage Reconciliation Rules
  C. Create additional Contact Points
  D. Leverage Match Rules
  B. Leverage Reconciliation Rules

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  Explanation

  Reconciliation rules are used to select attributes for Unified Individuals when there is conflicting information in the Data Model. Reconciliation rules can use different methods to prioritize values, such as source sequence, most recent value, or most frequent value. For example, if two profiles have different first names, reconciliation rules can determine which one to use for the unified profile based on the source sequence or the most recent value.

  References:

  Identity Resolution Reconciliation Rules

• Question 116:

  Northern Trail Outfitters is using the Marketing Cloud Starter Data Bundles to bring Marketing Cloud data into Data Cloud.

  What are two of the available datasets in Marketing Cloud Starter Data Bundles? Choose 2 answers

  A. Personalization
  B. MobileConnect
  C. Loyalty Management
  D. MobilePush
  B. MobileConnect
  D. MobilePush

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  Explanation

  The Marketing Cloud Starter Data Bundles are predefined data bundles that allow you to easily ingest data from Marketing Cloud into Data Cloud1. The available datasets in Marketing Cloud Starter Data Bundles are Email, MobileConnect, and MobilePush2. These datasets contain engagement events and metrics from different Marketing Cloud channels, such as email, SMS, and push notifications 2. By using these datasets, you can enrich your Data Cloud data model with Marketing Cloud data and create segments and activations based on your marketing campaigns and journeys 1. The other options are incorrect because they are not available datasets in Marketing Cloud Starter Data Bundles. Option A is incorrect because Personalization is not a dataset, but a feature of Marketing Cloud that allows you to tailor your content and messages to your audience 3.

  Option C is incorrect because Loyalty Management is not a dataset, but a product of Marketing Cloud that allows you to create and manage loyalty programs for your customers 4.

  References:

  Marketing Cloud Starter Data Bundles in Data Cloud, Connect Your Data Sources, Personalization in Marketing Cloud, Loyalty Management in Marketing Cloud

• Question 117:

  Which three features can be used to validate the data in the unified profile object?

  A. Data Actions
  B. Data Explorer
  C. Query API
  D. Profile Explorer
  E. Identity Reconciliation
  B. Data Explorer
  C. Query API
  D. Profile Explorer

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  Explanation

  These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5https://help.salesforce.com/s/articleView?id=sf.c360_a_profile_explorer.htm&type=5

• Question 118:

  How does Data Cloud handle an individual's Right to be Forgotten?

  A. Deletes the records from all data source objects, and any downstream data model objects are updated at the next scheduled ingestion
  B. Deletes the specified Individual record and its Unified Individual Link record.
  C. Deletes the specified Individual and records from any data source object mapped to the Individual data model object.
  D. Deletes the specified Individual and records from any data model object/data lake object related to the Individual.
  D. Deletes the specified Individual and records from any data model object/data lake object related to the Individual.

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  Explanation

  Data Cloud handles an individual's Right to be Forgotten by deleting the specified Individual and records from any data model object/data lake object related to the Individual. This means that Data Cloud removes all the data associated with the individual from the data space, including the data from the source objects, the unified individual profile, and any related objects. Data Cloud also deletes the Unified Individual Link record that links the individual to the source records. Data Cloud uses the Consent API to process the Right to be Forgotten requests, which are reprocessed at 30, 60, and 90 days to ensure a full deletion. The other options are not correct descriptions of how Data Cloud handles an individual's Right to be Forgotten. Data Cloud does not delete the records from all data source objects, as this would affect the data integrity and availability of the source systems. Data Cloud also does not delete only the specified Individual record and its Unified Individual Link record, as this would leave the source records and the related records intact. Data Cloud also does not delete only the specified Individual and records from any data source object mapped to the Individual data model object, as this would leave the related records intact. Requesting Data Deletion or Right to Be Forgotten Data Deletion for Data Cloud Use the Consent API with Data Cloud Data and Identity in Data Cloud

• Question 119:

  Which two characteristics describe the Customer 360 data model?

  A. A Conceptual Model
  B. A Static Model
  C. A Product Sold By Salesforce
  D. A Canonical Model
  A. A Conceptual Model
  D. A Canonical Model

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  Explanation

  The Customer 360 data model is a conceptual model and a canonical model. A conceptual model is a high-level representation of the entities and relationships in a domain of interest, without specifying any implementation details. A canonical model is a common and consistent data model that can be used across different systems and applications.

  References:

  [Customer 360 Data Model Overview], [Conceptual Model], [Canonical Model]

• Question 120:

  How does Data Cloud ensure high availability and fault tolerance for customer data?

  A. By distributing data across multiple regions and data centers
  B. By using a data center with robust backups
  C. By Implementing automatic data recovery procedures
  D. By limiting data access to essential personnel
  A. By distributing data across multiple regions and data centers

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  Explanation

  Ensuring High Availability and Fault Tolerance:

  High availability refers to systems that are continuously operational and accessible, while fault tolerance is the ability to continue functioning in the event of a failure.

  Salesforce High Availability and Fault

  Tolerance Whitepaper Data Distribution Across Multiple Regions and Data Centers: Salesforce Data Cloud ensures high availability by replicating data across multiple geographic regions and data centers. This distribution mitigates risks associated with localized failures. If one data center goes down, data and services can continue to be served from another location, ensuring uninterrupted service.

  References:

  Salesforce Infrastructure Overview Benefits of Regional Data Distribution: Redundancy: Having multiple copies of data across regions provides redundancy, which is critical for disaster recovery. Load Balancing: Traffic can be distributed across data centers to optimize performance and reduce latency. Regulatory Compliance: Storing data in different regions helps meet local data residency requirements.

  References:

  Salesforce Data Center Locations and Regional Data Hosting Implementation in Salesforce Data Cloud: Salesforce utilizes a robust architecture involving data replication and failover mechanisms to maintain data integrity and availability. This architecture ensures that even in the event of a regional outage, customer data remains secure and accessible.

  References:

  Salesforce Trust and Compliance Documentation