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

Salesforce SALESFORCE-DATA-CLOUD Online Questions & Answers

• Question 191:

  Northern Trail Outfitters (NTO) wants to connect their B2C Commerce data with Data Cloud and bring two years of transactional history into Data Cloud.

  What should NTO use to achieve this?

  A. B2C Commerce Starter Bundles
  B. Direct Sales Order entity ingestion
  C. Direct Sales Product entity ingestion
  D. B2C Commerce Starter Bundles plus a custom extract
  D. B2C Commerce Starter Bundles plus a custom extract

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  Explanation

  The B2C Commerce Starter Bundles are predefined data streams that ingest order and product data from B2C Commerce into Data Cloud. However, the starter bundles only bring in the last 90 days of data by default. To bring in two years of transactional history, NTO needs to use a custom extract from B2C Commerce that includes the historical data and configure the data stream to use the custom extract as the source. The other options are not sufficient to achieve this because:

  A. B2C Commerce Starter Bundles only ingest the last 90 days of data by default.

  B. Direct Sales Order entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion.

  C. Direct Sales Product entity ingestion is not a supported method for connecting B2C Commerce data with Data Cloud. Data Cloud does not provide a direct-access connection for B2C Commerce data, only data ingestion. Create a B2C Commerce Data Bundle - Salesforce, B2C Commerce Connector -Salesforce, Salesforce B2C Commerce Pricing Plans & Costs

• Question 192:

  Which three options can be used to build a filter in the Segmentation Canvas?

  A. Data Lake Objects
  B. Streaming Insights
  C. Calculated Insights
  D. Related Attributes
  E. Direct Attributes
  B. Streaming Insights
  C. Calculated Insights
  E. Direct Attributes

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  Explanation

  A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5

• Question 193:

  Cumulus Financial wants its service agents to view a display of all cases associated with a Unified Individual on a contact record.

  Which two features should a consultant consider for this use case? Choose 2 answers

  A. Data Action
  B. Profile API
  C. Lightning Web Components
  D. Query APL
  B. Profile API
  C. Lightning Web Components

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  Explanation

  A Unified Individual is a profile that combines data from multiple sources using identity resolution rules in Data Cloud. A Unified Individual can have multiple contact points, such as email, phone, or address, that link to different systems and records. A consultant can use the following features to display all cases associated with a Unified Individual on a contact record: Profile API: This is a REST API that allows you to retrieve and update Unified Individual profiles and related attributes in Data Cloud. You can use the Profile API to query the cases that are related to a Unified Individual by using the contact point ID or the unified ID as a filter. You can also use the Profile API to update the Unified Individual profile with new or modified case information from other systems. Lightning Web Components: These are custom HTML elements that you can use to create reusable UI components for your Salesforce apps. You can use Lightning Web Components to create a custom component that displays the cases related to a Unified Individual on a contact record. You can use the Profile API to fetch the data from Data Cloud and display it in a table, list, or chart format. You can also use Lightning Web Components to enable actions, such as creating, editing, or deleting cases, from the contact record. The other two options are not relevant for this use case. A Data Action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. A Data Action is used for activation and personalization, not for displaying data on a contact record. A Query APL is a query language that allows you to access and manipulate data in Data Cloud. A Query APL is used for data exploration and analysis, not for displaying data on a contact record.

  References:

  Profile API Developer Guide, Lightning Web Components Developer Guide, Create Unified Individual Profiles Unit

• Question 194:

  A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number. To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats.

  What is the most efficient way to guarantee that the various phone number formats are standardized?

  A. Create a formula field to standardize the format.
  B. Edit and update the data in the source system prior to sending to Data Cloud.
  C. Assign the PhoneNumber field type when creating the data stream.
  D. Create a calculated insight after ingestion.
  C. Assign the PhoneNumber field type when creating the data stream.

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  Explanation

  The most efficient way to guarantee that the various phone number formats are standardized is to assign the PhoneNumber field type when creating the data stream. The PhoneNumber field type is a special field type that automatically converts phone numbers into the E164 format, which is the international standard for phone numbers. The E164 format consists of a plus sign (+), the country code, and the national number. For example, +1-202-555-1234 is the E164 format for a US phone number. By using the PhoneNumber field type, the consultant can ensure that the phone numbers are consistent and can be used for future SMS campaigns. The other options are either more time-consuming, require manual intervention, or do not address the formatting issue.

  References:

  Data Stream Field Types, E164 Phone Number Format, Salesforce Data Cloud Exam Questions

• Question 195:

  Which of these is present in Identity Resolution Summary?

  A. Unified Individuals
  B. Last Processing Status
  C. Matched Individuals
  D. All the above
  D. All the above

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  Explanation

  The Identity Resolution Summary page shows all the above information: Unified Individuals, Last Processing Status, and Matched Individuals. Unified Individuals are the profiles that Data Cloud creates by linking multiple source profiles based on match rules. Last Processing Status shows the date and time of the last identity resolution run and whether it was successful or not. Matched Individuals shows the number and percentage of source profiles that were matched to a unified individual profile.

  References:

  Identity Resolution Summary

• Question 196:

  What is Data Cloud's primary value to customers?

  A. To provide a unified view of a customer and their related data
  B. To connect all systems with a golden record
  C. To create a single source of truth for all anonymous data
  D. To create personalized campaigns by listening, understanding, and acting on customer behavior
  A. To provide a unified view of a customer and their related data

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  Explanation

  Data Cloud is a platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers. Data Cloud also provides insights and analytics on customer behavior, preferences, and needs, as well as tools to segment, target, and personalize customer interactions. Data Cloud's primary value to customers is to provide a unified view of a customer and their related data, which can help you deliver better customer experiences, increase loyalty, and drive growth.

  Salesforce Data Cloud, When Data Creates Competitive Advantage

• Question 197:

  A Data Cloud customer wants to adjust their identity resolution rules to increase their accuracy of matches. Rather than matching on email address, they want to review a rule that joins their CRM Contacts with their Marketing Contacts, where both use the CRM ID as their primary key.

  Which two steps should the consultant take to address this new use case? Choose 2 answers

  A. Map the primary key from the two systems to Party Identification, using CRM ID as theidentification name for both.
  B. Map the primary key from the two systems to party identification, using CRM ID as theidentification name for individualscoming from the CRM, and Marketing ID as the identification name for individuals coming from themarketing platform.
  C. Create a custom matching rule for an exact match on the Individual ID attribute.
  D. Create a matching rule based on party identification that matches on CRM ID as the partyidentification name.
  A. Map the primary key from the two systems to Party Identification, using CRM ID as theidentification name for both.
  D. Create a matching rule based on party identification that matches on CRM ID as the partyidentification name.

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  Explanation

  To address this new use case, the consultant should map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both, and create a matching rule based on party identification that matches on CRM ID as the party identification name. This way, the consultant can ensure that the CRM Contacts and Marketing Contacts are matched based on their CRM ID, which is a unique identifier for each individual. By using Party Identification, the consultant can also leverage the benefits of this attribute, such as being able to match across different entities and sources, and being able to handle multiple values for the same individual. The other options are incorrect because they either do not use the CRM ID as the primary key, or they do not use Party Identification as the attribute type.

  Configure Identity Resolution Rulesets, Identity Resolution Match Rules, Data Cloud Identity Resolution Ruleset, Data Cloud Identity Resolution Config Input

• Question 198:

  Which two steps are required when configuring a Marketing Cloud activation?

  A. Set an Activation Schedule
  B. Select an Activation Target
  C. Add Additional Attributes
  D. Select Contact Points
  B. Select an Activation Target
  D. Select Contact Points

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  Explanation

  These two steps are required when configuring a Marketing Cloud activation. You need to select an activation target that represents a Marketing Cloud business unit and a contact point that represents a Marketing Cloud data extension.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud.htm&type=5

• Question 199:

  What is the result of a segmentation criteria filtering on City | Is Equal To I 'San Jose?

  A. Cities containing 'San Jose', 'San Jose', 'san jose'. or 'san jose'
  B. Cities only containing 'San Jose' or 'San Jose'
  C. Cities only containing 'San Jose' or 'san jose'
  D. Cities only containing 'San Jose' or 'san jose'
  C. Cities only containing 'San Jose' or 'san jose'

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  Explanation

  According to the Data Cloud documentation, the Is Equal To operator is case-insensitive, meaning it matches values regardless of capitalization. Therefore, the segmentation criteria filtering on City | Is Equal To | `San Jose' will include cities that contain either `San Jose' or `san jose'.

• Question 200:

  A consultant is preparing to implement Data Cloud.

  Which ethic should the consultant adhere to regarding customer data?

  A. Allow senior leaders in the firm to access customer data for audit purposes.
  B. Collect and use all of the data to create more personalized experiences.
  C. Map sensitive data to the same DMO for ease of deletion.
  D. Carefully consider asking for sensitive data such as age, gender, or ethnicity.
  D. Carefully consider asking for sensitive data such as age, gender, or ethnicity.

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  Explanation

  When implementing Data Cloud, the consultant should adhere to ethical practices regarding customer data, particularly by carefully considering the collection and use of sensitive data such as age, gender, or ethnicity. Here's why: Understanding Ethical Considerations Collecting and using customer data comes with significant ethical responsibilities, especially when dealing with sensitive information. The consultant must ensure compliance with privacy regulations (e.g., GDPR, CCPA) and uphold ethical standards to protect customer trust. Why Carefully Consider Sensitive Data?

  Privacy and Trust: Collecting sensitive data (e.g., age, gender, ethnicity) can raise privacy concerns and erode customer trust if not handled appropriately. Customers are increasingly aware of their data rights and expect transparency and accountability.

  Regulatory Compliance: Regulations like GDPR and CCPA impose strict requirements on the collection, storage, and use of sensitive data. Careful consideration ensures compliance and avoids potential legal issues.

  Other Options Are Less Suitable:

  A. Allow senior leaders in the firm to access customer data for audit purposes: While audits are important, unrestricted access to sensitive data is unethical and violates privacy principles.

  B. Collect and use all of the data to create more personalized experiences: Collecting all data without regard for sensitivity is unethical and risks violating privacy regulations.

  C. Map sensitive data to the same DMO for ease of deletion: While mapping data for deletion is a good practice, it does not address the ethical considerations of collecting sensitive data in the first place. Steps to Ensure Ethical Practices Step 1: Evaluate Necessity Assess whether sensitive data is truly necessary for achieving business objectives. Step 2: Obtain Explicit Consent If sensitive data is required, obtain explicit consent from customers and provide clear explanations of how the data will be used. Step 3: Minimize Data Collection Limit the collection of sensitive data to only what is essential and anonymize or pseudonymize data where possible. Step 4: Implement Security Measures Use encryption, access controls, and other security measures to protect sensitive data. Conclusion The consultant should carefully consider asking for sensitive data such as age, gender, or ethnicity to uphold ethical standards, maintain customer trust, and ensure regulatory compliance.