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

Salesforce SALESFORCE-DATA-CLOUD Online Questions & Answers

• Question 231:

  An organization wants to enable users with the ability to identify and select text attributes from a picklist of options.

  Which Data Cloud feature can help with this use case?

  A. Transformation Formulas
  B. Data Harmonization
  C. Value Suggestion
  D. Global Picklists
  C. Value Suggestion

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  Explanation

  Value suggestion is a feature of Data Cloud that allows you to identify and select text attributes from a picklist of options. You can use value suggestion to standardize values across different data sources and improve data quality.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_value_suggestion.htm&type=5

• Question 232:

  Which two steps should a consultant take if a successfully configured Amazon S3 data stream fails to refresh with a "NO FILE FOUND" error message? Choose 2 answers

  A. Check if correct permissions are configured for the Data Cloud user.
  B. Check if the Amazon S3 data source is enabled in Data Cloud Setup.
  C. Check If the file exists in the specified bucket location.
  D. Check if correct permissions are configured for the S3 user.
  A. Check if correct permissions are configured for the Data Cloud user.
  C. Check If the file exists in the specified bucket location.

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  Explanation

  A "NO FILE FOUND" error message indicates that Data Cloud cannot access or locate the file from the Amazon S3 source. There are two possible reasons for this error and two corresponding steps that a consultant should take to troubleshoot it: The Data Cloud user does not have the correct permissions to read the file from the Amazon S3 bucket.

  This could happen if the user's permission set or profile does not include the Data Cloud Data Stream Read permission, or if the user's Amazon S3 credentials are invalid or expired. To fix this issue, the consultant should check and update the user's permissions and credentials in Data Cloud and Amazon S3, respectively.

  The file does not exist in the specified bucket location. This could happen if the file name or path has changed, or if the file has been deleted or moved from the Amazon S3 bucket. To fix this issue, the consultant should check and verify the file name and path in the Amazon S3 bucket, and update the data stream configuration in Data Cloud accordingly.

  Create Amazon S3 Data Stream in Data Cloud, How to Use the Amazon S3 Storage Connector in Data Cloud, Amazon S3 Connection

• Question 233:

  What does the Ignore Empty Value option do in Identity Resolution?

  A. Ignores Individual object records with empty fields when running Identity Resolution rules
  B. Ignores empty fields when running any custom match rules
  C. Ignores empty fields when running reconciliation rules
  D. Ignores empty fields when running the standard match rules
  C. Ignores empty fields when running reconciliation rules

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  Explanation

  The Ignore Empty Value option is a setting for reconciliation rules, which determine the logic for data selection in a unified profile 7. If this option is enabled, empty fields are ignored when applying the reconciliation rule. For example, if the rule is to select the most frequent value, and one of the values is empty, it will not be counted as a frequency.

• Question 234:

  The marketing manager at Cloud Kicks plans to bring in corporate phone numbers for its accounts into Data Cloud. They plan to use a custom field with data set to Phone to store these phone numbers.

  Which statement is true when ingesting phone numbers?

  A. Text value can be accepted for ingestion into = phone data type field.
  B. Data Cloud validates the format of the phone number at the time of Ingestion.
  C. The phone number field car only accept 10-digit values.
  D. The phone number field should be used as a primary key.
  A. Text value can be accepted for ingestion into = phone data type field.

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  Explanation

  When ingesting phone numbers into a custom field with the Phone data type in Salesforce Data Cloud, the correct statement is that text values can be accepted for ingestion into a phone data type field. Here's why: Understanding the Requirement.

  The marketing manager at Cloud Kicks plans to ingest corporate phone numbers into Data Cloud using a custom field with the Phone data type. It is important to understand how phone numbers are validated and stored during ingestion. Why Text Values Can Be Accepted?

  Phone Data Type Behavior: The Phone data type in Salesforce accepts text values, as phone numbers are typically stored as strings (e.g., "+1-800-555-1234"). While the field is designed for phone numbers, it does not enforce strict formatting rules during ingestion.

  Validation During Ingestion: Salesforce does not validate the format of phone numbers at the time of ingestion. Validation occurs only when the data is used in downstream systems or applications that enforce formatting rules.

  Other Options Are Incorrect:

  B. Data Cloud validates the format of the phone number at the time of ingestion: This is incorrect because Data Cloud does not validate phone number formats during ingestion.

  C. The phone number field can only accept 10-digit values: This is incorrect because the Phone data type supports various formats, including international numbers.

  D. The phone number field should be used as a primary key: This is incorrect because phone numbers are not unique identifiers and should not be used as primary keys. Steps to Ingest Phone Numbers Step 1: Create a Custom Field Navigate to Object Manager > Account > Fields & Relationships and create a custom field with the Phone data type. Step 2: Configure Data Ingestion Ensure the source data includes phone numbers as text values. Map the phone number field from the source to the custom field in Data Cloud. Step 3: Validate Data Usage Test the ingested data to ensure it meets downstream requirements (e.g., formatting for dialing). Conclusion Text values can be accepted for ingestion into a Phone data type field, as phone numbers are stored as strings and formatting validation occurs later in the process.

• Question 235:

  Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind.

  Which two use cases are considered a good fit for Data Cloud? Choose 2 answers

  A. To ingest and unify data from various sources to reconcile customer identity
  B. To create and orchestrate cross-channel marketing messages
  C. To use harmonized data to more accurately understand the customer and business impact
  D. To eliminate the need for separate business intelligence and IT data management tools
  A. To ingest and unify data from various sources to reconcile customer identity
  C. To use harmonized data to more accurately understand the customer and business impact

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  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 use cases that are considered a good fit for Data Cloud are: To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers. To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes. The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities. Learn.

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

• Question 236:

  Which three actions can be applied to a previously created segment?

  A. Reactivate
  B. Export
  C. Delete
  D. Copy
  E. Inactivate
  B. Export
  C. Delete
  D. Copy

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  Explanation

  These three actions can be applied to a previously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5

• Question 237:

  Every day, Northern Trail Outfitters (NTO) uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than 7 days are automatically deleted. Each file contains a timestamp in a standardized naming convention.

  What should a consultant consider when ingesting this data stream?

  A. Ensure the refresh mode is set to "Upsert" and Refresh only new files" is selected
  B. Ensure the refresh mode is set to "Full Refresh" and the filename contains a wildcard to accommodate the timestamp
  C. Ensure the refresh mode is set to "Full Refresh" and "Refresh only new files' is selected
  D. Advise NTO to change their processes: this configuration is not supported
  A. Ensure the refresh mode is set to "Upsert" and Refresh only new files" is selected

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  Explanation

  This configuration will ensure that Data Cloud only ingests new files from the Amazon S3 bucket and updates or inserts new records into the data stream without deleting existing records.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=

• Question 238:

  Which two statements about Data Cloud's Web and Mobile App connector are true?

  A. Any Data Streams associated with Web or Mobile connector app will be automatically deleted upon deleting the app from Data Cloud Setup
  B. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page
  C. Tenant Specific Endpoint is auto-generated in Data Cloud when setting up a Mobile or Web app connection
  D. Mobile and Web SDK schema can be updated to delete an existing field
  B. Data Cloud administrators can see the status of a Web or Mobile connector app on the app details page
  C. Tenant Specific Endpoint is auto-generated in Data Cloud when setting up a Mobile or Web app connection

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  Explanation

  The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that is generated for each app and used to send data to Data Cloud from the web or mobile SDK.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5