Salesforce Data Cloud Consultant Exam Practice Test Instant Access

Question 1

How does Data Cloud ensure high availability and fault tolerance for customer data?

ABy distributing data across multiple regions and data centers

BBy using a data center with robust backups

CBy Implementing automatic data recovery procedures

DBy limiting data access to essential personnel

Answer : A

Ensuring High Availability and Fault Tolerance:

High availability refers to systems that are continuously operational and accessible, while fault tolerance is the ability to continue functioning in the event of a failure.

Data Distribution Across Multiple Regions and Data Centers:

Salesforce Data Cloud ensures high availability by replicating data across multiple geographic regions and data centers. This distribution mitigates risks associated with localized failures.

If one data center goes down, data and services can continue to be served from another location, ensuring uninterrupted service.

Benefits of Regional Data Distribution:

Redundancy: Having multiple copies of data across regions provides redundancy, which is critical for disaster recovery.

Load Balancing: Traffic can be distributed across data centers to optimize performance and reduce latency.

Regulatory Compliance: Storing data in different regions helps meet local data residency requirements.

Implementation in Salesforce Data Cloud:

Salesforce utilizes a robust architecture involving data replication and failover mechanisms to maintain data integrity and availability.

This architecture ensures that even in the event of a regional outage, customer data remains secure and accessible.

Question 2

Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new

line of business. The new business specializes in gourmet camping food. For business reasons as well

as security reasons, it's important to NTO to keep all Data Cloud data separated by brand.

Which capability best supports NTO's desire to separate its data by brand?

AData streams for each brand

BData model objects for each brand

CData spaces for each brand

DData sources for each brand

Answer : C

Data spaces are logical containers that allow you to separate and organize your data by different criteria, such as brand, region, product, or business unit1.Data spaces can help you manage data access, security, and governance, as well as enable cross-cloud data integration and activation2. For NTO, data spaces can support their desire to separate their data by brand, so that they can have different data models, rules, and insights for their outdoor lifestyle clothing and gourmet camping food businesses.Data spaces can also help NTO comply with any data privacy and security regulations that may apply to their different brands3. The other options are incorrect because they do not provide the same level of data separation and organization as data spaces.Data streams are used to ingest data from different sources into Data Cloud, but they do not separate the data by brand4.Data model objects are used to define the structure and attributes of the data, but they do not isolate the data by brand5. Data sources are used to identify the origin and type of the data, but they do not partition the data by brand.Reference:Data Spaces Overview,Create Data Spaces,Data Privacy and Security in Data Cloud,Data Streams Overview,Data Model Objects Overview, [Data Sources Overview]

Question 3

Which statement about Data Cloud's Web and Mobile Application Connector is true?

AA standard schema containing event, profile, and transaction data is created at the time the connector is configured.

BThe Tenant Specific Endpoint is auto-generated in Data Cloud when setting the connector.

CAny data streams associated with the connector will be automatically deleted upon deleting the app from Data Cloud Setup.

DThe connector schema can be updated to delete an existing field.

Answer : B

The Web and Mobile Application Connector allows you to ingest data from your websites and mobile apps into Data Cloud. To use this connector, you need to set up a Tenant Specific Endpoint (TSE) in Data Cloud, which is a unique URL that identifies your Data Cloud org. The TSE is auto-generated when you create a connector app in Data Cloud Setup. You can then use the TSE to configure the SDKs for your websites and mobile apps, which will send data to Data Cloud through the TSE.Reference:Web and Mobile Application Connector,Connect Your Websites and Mobile Apps,Create a Web or Mobile App Data Stream

Question 4

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

AMap the primary key from the two systems to Party Identification, using CRM ID as the
identification name for both.

BMap the primary key from the two systems to party identification, using CRM ID as the
identification name for individuals
coming from the CRM, and Marketing ID as the identification name for individuals coming from the
marketing platform.

CCreate a custom matching rule for an exact match on the Individual ID attribute.

DCreate a matching rule based on party identification that matches on CRM ID as the party
identification name.

Answer : A, D

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

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 an SFTP site.

How should the file be brought into Data Cloud?

AIngest the file with the SFTP Connector.

BIngest the file through the Cloud Storage Connector.

CManually import the file using the Data Import Wizard.

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

Answer : A

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

Question 6

Which two common use cases can be addressed with Data Cloud?

Choose 2 answers

AUnderstand and act upon customer data to drive more relevant experiences.

BGovern enterprise data lifecycle through a centralized set of policies and processes.

CHarmonize data from multiple sources with a standardized and extendable data model.

DSafeguard critical business data by serving as a centralized system for backup and disaster
recovery.

Answer : A, C

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 common use cases that can be addressed with Data Cloud are:

Understand and act upon customer data to drive more relevant experiences.Data Cloud can help customers gain a 360-degree view of their customers by unifying data from different sources and resolving identities across channels. Data Cloud can also help customers segment their audiences, create personalized experiences, and activate data in any channel using insights and AI.

Harmonize data from multiple sources with a standardized and extendable data model.Data Cloud can help customers transform and cleanse their data before using it, and map it to a common data model that can be extended and customized. Data Cloud can also help customers create calculated insights and related attributes to enrich their data and optimize identity resolution.

The other two options are not common use cases for Data Cloud. Data Cloud does not provide data governance or backup and disaster recovery features, as these are typically handled by other Salesforce or external solutions.

Learn How Data Cloud Works

About Salesforce Data Cloud

Discover Use Cases for the Platform

Understand Common Data Analysis Use Cases

Question 7

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?

AB2C Commerce Starter Bundles

BDirect Sales Order entity ingestion

CDirect Sales Product entity ingestion

DB2C Commerce Starter Bundles plus a custom extract

Answer : D

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.Reference:Create a B2C Commerce Data Bundle - Salesforce,B2C Commerce Connector - Salesforce,Salesforce B2C Commerce Pricing Plans & Costs

Salesforce Data Cloud Consultant Salesforce Certified Data Cloud Consultant Exam Practice Test