Salesforce-Data-Cloud Exam Practice Test Instant Access

Question 1

What should be the type of the Event Time Field while ingesting Engagement data?

AMutable

BInconsistent

CImmutable

DNone of the above

Answer : C

The type of the Event Time Field while ingesting Engagement data should be Immutable. Immutable means that the field value cannot be changed once it is ingested. The Event Time Field is a mandatory field for Engagement data that represents the timestamp of when an event occurred. It is important to keep this field immutable to ensure the accuracy and consistency of the event data. Reference:Engagement Data Model

Question 2

Cloud Kicks has received a Request to be Forgotten by a customer. In which two ways can Data Cloud honor this request?

AUse Data Explorer to locate and manually remove the Individual

BUse the Consent API to suppress processing and delete the individual and related records from source data streams

CDelete the data from the incoming data stream and perform a full refresh

DAdd the Individual Id to a headerless file and use the delete from file functionality

Answer : B, D

These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_from_file.htm&type=5

Question 3

How many days of historical data is loaded when B2C Commerce Data Stream is created

from the Order Bundle?

A90 days

B60 days

C30 days

D10 days

Answer : C

When B2C Commerce Data Stream is created from the Order Bundle, 30 days of historical data is loaded. The Order Bundle is a preconfigured data bundle that contains order-related data from B2C Commerce Cloud. Data Stream is a feature that allows you to stream data from B2C Commerce Cloud to Data Cloud in near real time. Reference:B2C Commerce Data Stream

Question 4

Which of the following functions returns the first value from a list that isn't empty?

ACONCAT

BCOALESCE

CREPLACE

DFIND

Answer : B

COALESCE is the function that returns the first value from a list that isn't empty. It takes a list of values as arguments and returns the first non-empty value. For example, COALESCE(NULL, '', 'Hello', 'World') returns 'Hello'. If all values are empty, it returns NULL. Reference:COALESCE

Question 5

A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?

AManually import the file using the Data Import Wizard

BUtilize Salesforce's Dataloader application to perform a bulk upload from a desktop

CImport the file into Google Cloud Storage and ingest with the Cloud Storage Connector

DImport the file into Amazon S3 and ingest with the Cloud Storage Connector

Answer : C, D

These two options are recommended ways to bring transactional data from a data warehouse into Data Cloud via a SFTP site. You can use the Cloud Storage Connector to ingest files from Google Cloud Storage or Amazon S3 buckets into Data Cloud. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_google_cloud_storage.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5

Question 6

An administrator wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV). Which sequence of DMO joins are necessary within the Calculated Insight to enable this calculation?

AUnified Individual > Individual > Sales Order

BUnified Individual > Unified Link Individual > Sales Order

CSales Order > Unified Individual

DSales Order > Individual > Unified Individual

Answer : B

To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the administrator needs to join the following data model objects (DMOs) in the Calculated Insight:

Unified Individual: This DMO represents the unified profile of an individual, which contains attributes from multiple sources.

Unified Link Individual: This DMO represents the link between an Individual DMO and a Unified Individual DMO.

Sales Order: This DMO represents a transaction or purchase made by an individual.

The sequence of joins should start from the Unified Individual DMO, then join the Unified Link Individual DMO using the UnifiedIndividualId field, and then join the Sales Order DMO using the IndividualId field. This way, the administrator can access the sales order data for each unified individual and calculate their lifetime value.

Question 7

When creating a segment on an individual, what is the result of using two separate containers linked by an AND: At Least 1 of GoodsProduct.Color Is Equal To 'red' AND At Least 1 of GoodsProduct.PrimaryProductCategory Is Equal To shoes'?

AIndividuals who purchased at least 1 of any red' product and also purchased at least 1 pair of shoes'

BIndividuals who purchased at least 1 'red shoes' as a single line item in a purchase

BIndividuals who purchased at least 1 'red shoes'. 1 of any red' item, or 1 of any 'shoes' item in a purchase

CIndividuals who made a purchase of at least 1 of only 'red shoes' and nothing else

Answer : A

According to the Data Cloud documentation, when using two separate containers linked by an AND operator, the segment includes individuals who meet both conditions. In this case, the segment includes individuals who purchased at least one product with the color attribute equal to 'red', and also purchased at least one product with the primary product category attribute equal to 'shoes'. The products do not have to be the same or in the same order line item.

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