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

Salesforce DATA-CLOUD-CONSULTANT Online Questions & Answers

• Question 101:

  Cumulus Financial created a segment called Multiple Investments that contains individuals who have invested in two or more mutual funds.

  The company plans to send an email to this segment regarding a new mutual fund offering, and wants to personalize the email content with information about each customer's current mutual fund investments.

  How should the Data Cloud consultant configure this activation?

  A. Include Fund Type equal to "Mutual Fund" as a related attribute. Configure an activation based on the new segment with no additional attributes.
  B. Choose the Multiple Investments segment, choose the Email contact point, add related attribute
  C. Fund Name, and add related attribute filter for Fund Type equal to "Mutual Fund".
  D. Choose the Multiple Investments segment, choose the Email contact point, and add related attribute Fund Type.
  E. Include Fund Name and Fund Type by default for post processing in the target system.
  B. Choose the Multiple Investments segment, choose the Email contact point, add related attribute

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  To personalize the email content with information about each customer's current mutual fund investments, the Data Cloud consultant needs to add related attributes to the activation. Related attributes are additional data fields that can be sent along with the segment to the target system for personalization or analysis purposes. In this case, the consultant needs to add the Fund Name attribute, which contains the name of the mutual fund that the customer has invested in, and apply a filter for Fund Type equal to "Mutual Fund" to ensure that only relevant data is sent. The other options are not correct because: Including Fund Type equal to "Mutual Fund" as a related attribute is not enough to personalize the email content. The consultant also needs to include the Fund Name attribute, which contains the specific name of the mutual fund that the customer has invested in. Adding related attribute Fund Type is not enough to personalize the email content. The consultant also needs to add the Fund Name attribute, which contains the specific name of the mutual fund that the customer has invested in, and apply a filter for Fund Type equal to "Mutual Fund" to ensure that only relevant data is sent. Including Fund Name and Fund Type by default for post processing in the target system is not a valid option. The consultant needs to add the related attributes and filters during the activation configuration in Data Cloud, not after the data is sent to the target system. References: Add Related Attributes to an Activation - Salesforce, Related Attributes in Activation - Salesforce, Prepare for Your Salesforce Data Cloud Consultant Credential

• Question 102:

  Which two requirements must be met for a calculated insight to appear in the segmentation canvas? Choose 2 answers

  A. The metrics of the calculated insights must only contain numeric values.
  B. The primary key of the segmented table must be a metric in the calculated insight.
  C. The calculated insight must contain a dimension including the Individual or Unified Individual Id.
  D. The primary key of the segmented table must be a dimension in the calculated insight.
  C. The calculated insight must contain a dimension including the Individual or Unified Individual Id.
  D. The primary key of the segmented table must be a dimension in the calculated insight.

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  A calculated insight is a custom metric or measure that is derived from one or more data model objects or data lake objects in Data Cloud. A calculated insight can be used in segmentation to filter or group the data based on the calculated value. However, not all calculated insights can appear in the segmentation canvas. There are two requirements that must be met for a calculated insight to appear in the segmentation canvas: The calculated insight must contain a dimension including the Individual or Unified Individual Id. A dimension is a field that can be used to categorize or group the data, such as name, gender, or location. The Individual or Unified Individual Id is a unique identifier for each individual profile in Data Cloud. The calculated insight must include this dimension to link the calculated value to the individual profile and to enable segmentation based on the individual profile attributes. The primary key of the segmented table must be a dimension in the calculated insight. The primary key is a field that uniquely identifies each record in a table. The segmented table is the table that contains the data that is being segmented, such as the Customer or the Order table. The calculated insight must include the primary key of the segmented table as a dimension to ensure that the calculated value is associated with the correct record in the segmented table and to avoid duplication or inconsistency in the segmentation results. References: Create a Calculated Insight, Use Insights in Data Cloud, Segmentation

• Question 103:

  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.
  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.

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  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: 1. 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 system. 2. 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: 3. Delete Individuals from Data Cloud 4. Requesting Data Deletion or Right to Be Forgotten 5. Data Refresh for Data Cloud 6. [Data Explorer]

• Question 104:

  A company wants to include certain personalized fields in an email by including related attributes during the activation in Data Cloud. It notices that some values, such as purchased product names, do not have consistent casing in Marketing Cloud Engagement. For example, purchased product names appear as follows: Jacket, jacket, shoes, SHOES. The company wants to normalize all names to proper case and replace any null values with a default value.

  How should a consultant fulfill this requirement within Data Cloud?

  A. Create a streaming insight with a data action.
  B. Use formula fields when ingesting at the data stream level.
  C. Create one batch data transform per data stream.
  D. Create one batch data transform that creates a new DLO.
  D. Create one batch data transform that creates a new DLO.

• Question 105:

  Which statement about Data Cloud's Web and Mobile Application Connector is true?

  A. A standard schema containing event, profile, and transaction data is created at the time the connector is configured.
  B. The Tenant Specific Endpoint is auto-generated in Data Cloud when setting the connector.
  C. Any data streams associated with the connector will be automatically deleted upon deleting the app from Data Cloud Setup.
  D. The connector schema can be updated to delete an existing field.
  B. The Tenant Specific Endpoint is auto-generated in Data Cloud when setting the connector.

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  The Web and Mobile Application Connector allows you to ingest data from your websites and mobile apps into Data Cloud. To use this connector, you need to set up a Tenant Specific Endpoint (TSE) in Data Cloud, which is a unique URL that identifies your Data Cloud org. The TSE is auto-generated when you create a connector app in Data Cloud Setup. You can then use the TSE to configure the SDKs for your websites and mobile apps, which will send data to Data Cloud through the TSE. References: Web and Mobile Application Connector, Connect Your Websites and Mobile Apps, Create a Web or Mobile App Data Stream

• Question 106:

  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

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  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 107:

  Northern Trail Outfitters asks its consultant to extract the runner profiles and activity logs from its Track My Run mobile app and load them into Data Cloud. The marketing department also indicates that they need the last 90 days of historical data and want all new and updated data as it becomes available on a go-forward basis.

  As best practice, which sequence of actions should the consultant use to implement this request?

  A. Use bulk ingestion to first load the last 90 days of data, and also subsequently use bulk ingestion to synchronize the future data as It becomes available.
  B. Use streaming ingestion to first load the last 90 days of data, and also subsequently use streaming ingestion synchronize future data as It becomes available.
  C. Use streaming ingestion to first load the last 90 days of data, and then use bulk Ingestion to synchronize future data as It becomes available.
  D. Use bulk ingestion to first load the last 90 days of data, and then use streaming ingestion to synchronize future data as It becomes available.
  D. Use bulk ingestion to first load the last 90 days of data, and then use streaming ingestion to synchronize future data as It becomes available.

• Question 108:

  Which method should a consultant use when performing aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK?

  A. Batch transform
  B. Calculated insight
  C. Streaming insight
  D. Formula fields
  C. Streaming insight

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  Streaming insight is a method that allows you to perform aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK. Streaming insight is a feature that enables you to create real-time metrics and insights based on streaming data from various sources, such as web, mobile, or IoT devices. Streaming insight allows you to define aggregation rules, such as count, sum, average, min, max, or percentile, and apply them to streaming data in time windows of 15 minutes. For example, you can use streaming insight to calculate the number of visitors, the average session duration, or the conversion rate for your website or app in 15-minute intervals. Streaming insight also allows you to visualize and explore the aggregated data in dashboards, charts, or tables. References: Streaming Insight, Create Streaming Insights

• Question 109:

  A Data Cloud Consultant Is in the process of setting up data streams for a new service-based data source.

  When ingesting Case data, which field is recommended to be associated with the Event Time field?

  A. Last Modified Date
  B. Resolution Date
  C. Escalation Date
  D. Creation Date
  A. Last Modified Date

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  The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases. References: Data Stream Field Types, Salesforce Data Cloud Exam Questions

• Question 110:

  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
  A. Data Cloud