Salesforce Salesforce Certifications DATA-CLOUD-CONSULTANT Questions & Answers

• Question 71:

  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

  Correct Answer: C

  Value suggestion for attributes in segmentation is a feature that allows you to see and select the possible values for a text field when creating segment filters. You can enable or disable this feature for each data model object (DMO) field in the DMO record home. Value suggestion can be enabled for up to 500 attributes for your entire org. It can take up to 24 hours for suggested values to appear. To use value suggestion when creating segment filters, you need to drag the attribute onto the canvas and start typing in the Value field for an attribute. You can also select multiple values for some operators. Value suggestion is not available for attributes with more than 255 characters or for relationships that are one-to-many (1:N). References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes

• Question 72:

  A customer requests that their personal data be deleted.

  Which action should the consultant take to accommodate this request in Data Cloud?

  A. Use a streaming API call to delete the customer's information.

  B. Use Profile Explorer to delete the customer data from Data Cloud.

  C. Use Consent API to request deletion of the customer's information.

  D. Use the Data Rights Subject Request tool to request deletion of the customer's information.

  Correct Answer: C

  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. References: Data Rights Subject Request Tool, Create a Data Rights Subject Request

• Question 73:

  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.

  Correct Answer: D

  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.

  References:

  1.

  Requesting Data Deletion or Right to Be Forgotten

  2.

  Data Deletion for Data Cloud

  3.

  Use the Consent API with Data Cloud

  4.

  Data and Identity in Data Cloud

• Question 74:

  A retail customer wants to bring customer data from different sources and wants to take advantage of identity resolution so that it can be used in segmentation.

  On which entity should this be segmented for activation membership?

  A. Subscriber

  B. Unified Individual

  C. Unified Contact

  D. Individual

  Correct Answer: B

  The correct answer is B, Unified Individual. A Unified Individual is a record that represents a customer across different data sources, created by applying identity resolution rulesets. Identity resolution rulesets are sets of match and reconciliation rules that define how to link and merge data from different sources based on common attributes. Data Cloud uses identity resolution rulesets to resolve data across multiple data sources and helps you create one record for each customer, regardless of where the data came from1. A retail customer who wants to bring customer data from different sources and use identity resolution for segmentation should segment on the Unified Individual entity, which contains the resolved and consolidated customer data. The other options are incorrect because they do not represent the resolved customer data across different sources. A Subscriber is a record that represents a customer who has opted in to receive marketing communications. A Unified Contact is a record that represents a customer who has a relationship with a specific business unit. An Individual is a record that represents a customer's profile data from a single data source.

  References:

  1.

  Identity Resolution Ruleset Processing Results

  2.

  Consider Data Implications for Segmentation

  3.

  Prepare for your Salesforce Data Cloud Consultant Credential

  4.

  AI-based Identity Resolution: Linking Diverse Customer Data

• Question 75:

  A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required.

  What is the minimum permission set needed to accommodate this use case?

  A. Data Cloud for Marketing Specialist

  B. Data Cloud Admin

  C. Data Cloud User

  D. Data Cloud for Marketing Data Aware Specialist

  Correct Answer: C

  The Data Cloud User permission set is the minimum permission set needed to accommodate this use case. The Data Cloud User permission set grants access to the Data Explorer feature, which allows the user to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user can also make changes to the data model object fields, such as adding or removing fields, changing field types, or creating formula fields. The Data Cloud User permission set does not grant access to other Data Cloud features or tasks, such as creating data streams, creating segments, creating activations, or managing users. The other permission sets are either too restrictive or too permissive for this use case. The Data Cloud for Marketing Specialist permission set only grants access to the segmentation and activation features, but not to the Data Explorer feature. The Data Cloud Admin permission set grants access to all Data Cloud features and tasks, including the Data Explorer feature, but it is more than what the user needs. The Data Cloud for Marketing Data Aware Specialist permission set grants access to the Data Explorer feature, but also to the segmentation and activation features, which are not required for this use case. References: Data Cloud Standard Permission Sets, Data Explorer, Set Up Data Cloud Unit

• Question 76:

  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

  Correct Answer: CD

  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.

• Question 77:

  Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.

  Which engagement channel data will require custom integration?

  A. SMS

  B. Email

  C. CloudPage

  D. Mobile push

  Correct Answer: C

  CloudPage is a web page that can be personalized and hosted by Marketing Cloud. It is not one of the standard engagement channels that Data Cloud supports out of the box. To use CloudPage data in Data Cloud, a custom integration is required. The other engagement channels (SMS, email, and mobile push) are supported by Data Cloud and can be integrated using the Marketing Cloud Connector or the Marketing Cloud API. References: Data Cloud Overview, Marketing Cloud Connector, Marketing Cloud API

• Question 78:

  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

  Correct Answer: A

  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 79:

  A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.

  Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?

  A. Use an S3 Private Key Certificate.

  B. Use an S3 Encrypted Username and Password.

  C. Use a JWT Token generated on S3.

  D. Use an S3 Access Key and Secret Key.

  Correct Answer: D

  To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3 bucket name, region, and access key and secret key for authentication. The access key and secret key are generated by AWS and can be managed in the IAM console. The other options are not supported by the S3 Storage Connector or by Data Cloud. References: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog

• Question 80:

  A customer has a requirement to receive a notification whenever an activation fails for a particular segment.

  Which feature should the consultant use to solution for this use case?

  A. Flow

  B. Report

  C. Activation alert

  D. Dashboard

  Correct Answer: C

  The feature that the consultant should use to solution for this use case is C. Activation alert. Activation alerts are notifications that are sent to users when an activation fails or succeeds for a segment. Activation alerts can be configured in the Activation Settings page, where the consultant can specify the recipients, the frequency, and the conditions for sending the alerts. Activation alerts can help the customer to monitor the status of their activations and troubleshoot any issues that may arise. References: Salesforce Data Cloud Consultant uide, Activation Alerts