Salesforce Data Architect Exam Questions - Navigate Your Path to Success

The Salesforce Certified Data Architect (Data Architect) exam is a good choice for Salesforce Advanced Administrator Salesforce Data Architect Salesforce Advanced Platform Developer and if the candidate manages to pass Salesforce Certified Data Architect exam, he/she will earn Salesforce Architect, Salesforce Data Architect Certifications. Below are some essential facts for Salesforce Data Architect exam candidates:

In actual Salesforce Certified Data Architect (Data Architect) exam, a candidate can expect 60 Questions and the officially allowed time is expected to be around 105 Minutes.
TrendyCerts offers 257 Questions that are based on actual Salesforce Data Architect syllabus.
Our Salesforce Data Architect Exam Practice Questions were last updated on: Mar 02, 2025

Sample Questions for Salesforce Data Architect Exam Preparation

Question 1

A large automobile manufacturer has decided to use Salesforce as its CRM. It needs to maintain the following dealer types in their CRM:

Local dealers

Regional distributor

State distributor

Service dealer

The attributes are different for each of the customer types. The CRM users should be allowed to enter only attributes related to the customer types. The processes and business rules for each of the customer types could be different.

How should the different dealers be maintained in Salesforce?

AUse Accounts for dealers, and create record types for each of the dealer types.

BCreate dealers as Accounts, and build custom views for each of the dealer types.

CUse Accounts for dealers and custom picklist field for each of the dealer types

DCreate Custom objects for each dealer types and custom fields for dealer attributes.

Correct : A

According to Trailhead2, record types are a feature that allows administrators to create different business processes, page layouts, and picklist values for different types of records within an object. Record types can be used to maintain different dealer types in Salesforce by creating record types for each of the dealer types and assigning them appropriate attributes, processes, and rules. Option A is the correct answer because it suggests using Accounts for dealers, and creating record types for each of the dealer types. Option B is incorrect because creating dealers as Accounts, and building custom views for each of the dealer types does not allow CRM users to enter only attributes related to the customer types, nor does it enable different processes and business rules for each of the customer types. Option C is incorrect because using Accounts for dealers and custom picklist field for each of the dealer types does not allow CRM users to enter only attributes related to the customer types, nor does it enable different processes and business rules for each of the customer types. Option D is incorrect because creating Custom objects for each dealer types and custom fields for dealer attributes can be unnecessary and complex, as it requires creating multiple objects and relationships instead of using the standard Account object.

Options Selected by Other Users:

Question 2

Universal Containers (UC) is migrating data from legacy system to Salesforce. During data analysis it was discovered that data types of fields being migrated do not match with Salesforce data types.

Which solution should a data architect use to ensure successful data migrations?

AMigrate legacy data to a staging database for mapping then leverage an ETL tool to transform the data and load into Salesforce.

BExport legacy data into the staging database and leverage stored procedures to transform data types before loading into Salesforce.

CMigrate the legacy data leveraging an ETL tool to transform data types and load data into Salesforce.

DExport legacy data into CSV files and leverage data loader to load data into Salesforce.

Correct : C

According tothis article, migrating the legacy data leveraging an ETL tool to transform data types and load data into Salesforce can be a way to ensure successful data migrations. The article states that ETL tools can help with data cleansing, mapping, transformation, and loading, and that they can handle different data types and formats. The article also provides some best practices for data migration, such as identifying the data to migrate, creating templates for the data, preparing the destination org, and validating the data.