Free Data-Cloud-Consultant Exam Braindumps (page: 9)

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Which data model subject area defines the revenue or quantity for an opportunity by product family?

  1. Engagement
  2. Product
  3. Party
  4. Sales Order

Answer(s): D

Explanation:

The Sales Order subject area defines the details of an order placed by a customer for one or more products or services. It includes information such as the order date, status, amount, quantity, currency, payment method, and delivery method. The Sales Order subject area also allows you to track the revenue or quantity for an opportunity by product family, which is a grouping of products that share common characteristics or features. For example, you can use the Sales Order Line Item DMO to associate each product in an order with its product family, and then use the Sales Order Revenue DMO to calculate the total revenue or quantity for each product family in an opportunity.


Reference:

Sales Order Subject Area, Sales Order Revenue DMO Reference



Which configuration supports separate Amazon S3 buckets for data ingestion and activation?

  1. Dedicated S3 data sources in Data Cloud setup
  2. Multiple S3 connectors in Data Cloud setup
  3. Dedicated S3 data sources in activation setup
  4. Separate user credentials for data stream and activation target

Answer(s): A

Explanation:

To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are used to identify the origin and type of the data that you ingest into Data Cloud. You can create different data sources for each S3 bucket that you want to use for ingestion or activation, and specify the bucket name, region, and access credentials. This way, you can separate and organize your data by different criteria, such as brand, region, product, or business unit. The other options are incorrect because they do not support separate S3 buckets for data ingestion and activation. Multiple S3 connectors are not a valid configuration in Data Cloud setup, as there is only one S3 connector available. Dedicated S3 data sources in activation setup are not a valid configuration either, as activation setup does not require data sources, but activation targets. Separate user credentials for data stream and activation target are not sufficient to support separate S3 buckets, as you also need to specify the bucket name and region for each data source.


Reference:

Data Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams Overview, Data Activation Overview



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?

  1. Ingest the file with the SFTP Connector.
  2. Ingest the file through the Cloud Storage Connector.
  3. Manually import the file using the Data Import Wizard.
  4. Use Salesforce's Dataloader application to perform a bulk upload from a desktop.

Answer(s): A

Explanation:

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.


Reference:

SFTP Connector - Salesforce, Create Data Streams with the SFTP Connector in Data Cloud - Salesforce, Data Import Wizard - Salesforce, Salesforce Data Loader



When performing segmentation or activation, which time zone is used to publish and refresh data?

  1. Time zone specified on the activity at the time of creation
  2. Time zone of the user creating the activity
  3. Time zone of the Data Cloud Admin user
  4. Time zone set by the Salesforce Data Cloud org

Answer(s): D

Explanation:

The time zone that is used to publish and refresh data when performing segmentation or activation is D. Time zone set by the Salesforce Data Cloud org. This time zone is the one that is configured in the org settings when Data Cloud is provisioned, and it applies to all users and activities in Data Cloud. This time zone determines when the segments are scheduled to refresh and when the activations are scheduled to publish. Therefore, it is important to consider the time zone difference between the Data Cloud org and the destination systems or channels when planning the segmentation and activation strategies.


Reference:

Salesforce Data Cloud Consultant Exam Guide, Segmentation, Activation






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