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

Salesforce DATA-CLOUD-CONSULTANT Online Questions & Answers

• Question 161:

  What should a user do to pause a segment activation with the intent of using that segment again?

  A. Deactivate the segment.
  B. Delete the segment.
  C. Skip the activation.
  D. Stop the publish schedule.
  A. Deactivate the segment.

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  The correct answer is A. Deactivate the segment. If a segment is no longer needed, it can be deactivated through Data Cloud and applies to all chosen targets. A deactivated segment no longer publishes, but it can be reactivated at any time. This option allows the user to pause a segment activation with the intent of using that segment again. The other options are incorrect for the following reasons: Delete the segment. This option permanently removes the segment from Data Cloud and cannot be undone. This option does not allow the user to use the segment again. Skip the activation. This option skips the current activation cycle for the segment, but does not affect the future activation cycles. This option does not pause the segment activation indefinitely. Stop the publish schedule. This option stops the segment from publishing to the chosen targets, but does not deactivate the segment4. This option does not pause the segment activation completely. References: 1: Deactivated Segment article on Salesforce Help 2: Delete a Segment article on Salesforce Help 3: Skip an Activation article on Salesforce Help 4: Stop a Publish Schedule article on Salesforce Help

• Question 162:

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

• Question 163:

  Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. Based on this, a calculated insight is created that shows the total spend per customer in the last 30 days. In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?

  A. Refresh Data Stream > Identity Resolution > Calculated Insight
  B. Refresh Data Stream > Calculated Insight > Identity Resolution
  C. Calculated Insight > Refresh Data Stream > Identity Resolution
  D. Identity Resolution > Refresh Data Stream > Calculated Insight
  A. Refresh Data Stream > Identity Resolution > Calculated Insight

• Question 164:

  Cloud Kicks plans to do a full deletion of one of its existing data streams and its underlying data lake object (DLO).

  What should the consultant consider before deleting the data stream?

  A. The underlying DLO can be used in a data transform.
  B. The underlying DLO cannot be mapped to a data model object.
  C. The data stream must be associated with a data kit.
  D. The data stream can be deleted without implicitly deleting the underlying DLO.
  A. The underlying DLO can be used in a data transform.

• Question 165:

  A customer wants to use the transactional data from their data warehouse in Data Cloud.

  They are only able to export the data via an SFTP site.

  How should the file be brought into Data Cloud?

  A. Ingest the file with the SFTP Connector.
  B. Ingest the file through the Cloud Storage Connector.
  C. Manually import the file using the Data Import Wizard.
  D. Use Salesforce's Dataloader application to perform a bulk upload from a desktop.
  A. Ingest the file with the SFTP Connector.

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  The SFTP Connector is a data source connector that allows Data Cloud to ingest data from an SFTP server. The customer can use the SFTP Connector to create a data stream from their exported file and bring it into Data Cloud as a data lake object. The other options are not the best ways to bring the file into Data Cloud because: B. The Cloud Storage Connector is a data source connector that allows Data Cloud to ingest data from cloud storage services such as Amazon S3, Azure Storage, or Google Cloud Storage. The customer does not have their data in any of these services, but only on an SFTP site. C. The Data Import Wizard is a tool that allows users to import data for many standard Salesforce objects, such as accounts, contacts, leads, solutions, and campaign members. It is not designed to import data from an SFTP site or for custom objects in Data Cloud. D. The Dataloader is an application that allows users to insert, update, delete, or export Salesforce records. It is not designed to ingest data from an SFTP site or into Data Cloud. References: SFTP Connector - Salesforce, Create Data Streams with the SFTP Connector in Data Cloud - Salesforce, Data Import Wizard - Salesforce, Salesforce Data Loader

• Question 166:

  How does Data Cloud ensure data privacy and security?

  A. By encrypting data at rest and in transit
  B. By enforcing and controlling consent references
  C. By securely storing data in an offsite server
  D. BY limiting data access to authorized admins
  A. By encrypting data at rest and in transit

• Question 167:

  A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual.

  What should the consultant do to address this issue?

  A. Modify the existing ruleset with stricter matching criteria, run the ruleset and review the updated results, then adjust as needed until the individuals are matching correctly.
  B. Create and run a new rules fewer matching rules, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
  C. Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
  D. Modify the existing ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
  C. Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.

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  Identity resolution is the process of linking source profiles from different data sources into unified individual profiles based on match and reconciliation rules. If the identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual, it means that the match rules are too loose and need to be refined. The best way to address this issue is to create and run a new ruleset with stricter matching criteria, such as adding more attributes or increasing the match score threshold. Then, the consultant can compare the two rulesets to review and verify the results, and see if the new ruleset reduces the false positives and improves the accuracy of the identity resolution. Once the new ruleset is approved, the consultant can migrate to the new ruleset and delete the old one. The other options are incorrect because modifying the existing ruleset can affect the existing unified profiles and cause data loss or inconsistency. Creating and running a new ruleset with fewer matching rules can increase the false negatives and reduce the coverage of the identity resolution. References: Create Unified Individual Profiles, AI-based Identity Resolution: Linking Diverse Customer Data, Data Cloud Identiy Resolution.

• Question 168:

  What should an organization use to stream inventory levels from an inventory management system into Data Cloud in a fast and scalable, near-real-time way?

  A. Cloud Storage Connector
  B. Commerce Cloud Connector
  C. Ingestion API
  D. Marketing Cloud Personalization Connector
  C. Ingestion API

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  The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data. The Ingestion API supports both batch and streaming modes, and can handle up to 100,000 records per second. The Ingestion API also provides features such as data validation, encryption, compression, and retry mechanisms to ensure data quality and security. References: Ingestion API Developer Guide, Ingest Data into Data Cloud

• Question 169:

  A retailer wants to unify profiles using Loyalty ID which is different than the unique ID of their customers.

  Which object should the consultant use in identity resolution to perform exact match rules on the Loyalty ID?

  A. Party Identification object
  B. Loyalty Identification object
  C. Individual object
  D. Contact Identification object
  A. Party Identification object

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  The Party Identification object is the correct object to use in identity resolution to perform exact match rules on the Loyalty ID. The Party Identification object is a child object of the Individual object that stores different types of identifiers for an individual, such as email, phone, loyalty ID, social media handle, etc. Each identifier has a type, a value, and a source. The consultant can use the Party Identification object to create a match rule that compares the Loyalty ID type and value across different sources and links the corresponding individuals. The other options are not correct objects to use in identity resolution to perform exact match rules on the Loyalty ID. The Loyalty Identification object does not exist in Data Cloud. The Individual object is the parent object that represents a unified profile of an individual, but it does not store the Loyalty ID directly. The Contact Identification object is a child object of the Contact object that stores identifiers for a contact, such as email, phone, etc., but it does not store the Loyalty ID. References: 1. Data Modeling Requirements for Identity Resolution 2. Identity Resolution in a Data Space 3. Configure Identity Resolution Rulesets 4. Map Required Objects 5. Data and Identity in Data Cloud

• Question 170:

  Which data stream category type should be assigned in order to use the dataset for date and time-based operations in segmentation and calculated insights?

  A. Individual
  B. Engagement
  C. Sales Order
  D. Profile
  B. Engagement