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Salesforce Certified Data Architect certification is a highly respected credential in the industry. It demonstrates that the holder has the knowledge and skills required to design and implement complex data architecture solutions on the Salesforce platform. Salesforce Certified Data Architect certification exam covers a wide range of topics, including data modeling, data integration, data security, and data governance.

Salesforce Data-Architect Exam Syllabus Topics:

Topic	Details
Topic 1	Large Data Volume Considerations: This covers the design of a data model that scales considering large data volume and solution performance, a data archiving and purging plan, and the use of virtualized data options.
Topic 2	Data Migration: This topic covers suitable techniques and methods to make sure high data quality at load time, different strategies to improve performance when migrating large data volumes into Salesforce, and various techniques and considerations to export data from Salesforce.
Topic 3	Master Data Management: This topic covers the various techniques, approaches, and considerations to implement Master Data Management Solutions, as well as techniques for establishing a "golden record" or "system of truth" for the customer domain. It also discusses approaches and techniques for consolidating data attributes and maintaining customer reference and metadata.
Topic 4	Data modeling Database Design: This topic covers various techniques and considerations for designing a data model for the Customer 360 platform. It also focuses on approaches to designing a scalable data model that obeys the current security and sharing model. The topic also compares and contrasts techniques for capturing and managing business and technical metadata, as well as the reasons for implementing Big Objects vs Standard Custom objects and approaches to avoid data skew.
Topic 5	Salesforce Data Management: This topic covers the appropriate combination of Salesforce license types, techniques to ensure data is persisted in a consistent manner, and approaches to represent a single view of the customer on the Salesforce platform. It also covers techniques to effectively consolidate and leverage data from multiple Salesforce instances.

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Salesforce Certified Data Architect Sample Questions (Q117-Q122):

NEW QUESTION # 117
DreamHouse Realty has a data model as shown in the image. The Project object has a private sharing model, and it has Roll-Up summary fields to calculate the number of resources assigned to the project, total hours for the project, and the number of work items associated to the project.
There will be a large amount of time entry records to be loaded regularly from an external system into Salesforce.

What should the Architect consider in this situation?

A. Load all data using external IDs to link to parent records.
B. Calculate summary values instead of Roll-Up by using triggers.
C. Calculate summary values instead of Roll-Up by using workflow.
D. Load all data after deferring sharing calculations.

Answer: D

NEW QUESTION # 118
Universal Containers (UC) uses the following Salesforce products:
Sales Cloud for customer management.
Marketing Cloud for marketing.
Einstein Analytics for business reporting.
UC occasionally gets a list of prospects from third-party source as comma-separated values (CSV) files for marketing purposes. Historically, UC would load contact Lead object in Salesforce and sync to Marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing process.
What should a data architect recommend to UC in order to immediately avoid storage issues in the future?

A. Continue to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete.
B. Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers.
C. Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications;
D. Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications.

Answer: B

Explanation:
According to the Salesforce documentation 4 , Marketing Cloud is a platform that allows creating and managing marketing campaigns across multiple channels, such as email, mobile, social media, web, etc.
Marketing Cloud can integrate with Sales Cloud and other Salesforce products to share data and insights. One of the ways to integrate Marketing Cloud with Sales Cloud is using Marketing Cloud Connect 5 , which allows syncing data between the two platforms using synchronized data sources.
However, if UC occasionally gets a list of prospects from third-party sources as CSV files for marketing purposes, it may not be necessary or efficient to load them into Sales Cloud first and then sync them with Marketing Cloud. This can consume large amounts of storage in Sales Cloud, which has a limit based on the license type 6 . It can also cause data quality issues, such as duplicates or outdated information.
A better option for UC is to load the contacts directly to Marketing Cloud using Import Definition, which allows importing data from external files or databases into Marketing Cloud data extensions. Data extensions are custom tables that store marketing data in Marketing Cloud. This way, UC can avoid storage issues in Sales Cloud and optimize the marketing process by sending marketing communications directly from Marketing Cloud.
To track prospects that are converted to customers, UC can have a reconciliation process that compares the contacts in Marketing Cloud with the accounts or contacts in Sales Cloud. This can be done using SQL queries or API calls to access and compare data from both platforms. Alternatively, UC can use Marketing Cloud Connect to sync the converted contacts from Sales Cloud to Marketing Cloud using synchronized data sources.
Loading the CSV files in Einstein Analytics and syncing with Marketing Cloud prior to sending marketing communications (option A) is not a good option, as it can add unnecessary complexity and latency to the process. Einstein Analytics is a platform that allows creating and analyzing data using interactive dashboards and reports. It is not designed for importing and exporting data for marketing purposes.
Loading the CSV files in an external database and syncing with Marketing Cloud prior to sending marketing communications (option B) is also not a good option, as it can incur additional costs and maintenance for the external database. It can also introduce data security and privacy risks, as the data may not be encrypted or protected by Salesforce.
Continuing to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete (option D) is not a good option, as it can cause performance issues and data loss. Deleting Lead records from Sales can affect reporting and auditing, as well as trigger workflows and validations that may not be intended. It can also cause data inconsistency and synchronization errors between Sales Cloud and Marketing Cloud.

NEW QUESTION # 119
Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data.
Which two approaches should an Architect recommend to enforce the plan throughout the organization? (Choose two.)

A. Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.
B. Enforce critical business processes by using Workflow, Validation Rules, and Apex code.
C. Schedule reports that will automatically catch duplicates and merge or delete the records every week.
D. Ensure all data is stored in an external system and set up an integration to Salesforce for view-only access.

Answer: A,B

Explanation:
Enforcing critical business processes by using Workflow, Validation Rules, and Apex code can help ensure data quality and consistency by applying rules and logic to the data entry and update3. Scheduling a weekly dashboard displaying records that are missing information to be sent to managers for review can help identify and fix data quality issues by providing visibility and accountability4.

NEW QUESTION # 120
Universal Containers is creating a new B2C service offering for consumers to ship goods across continents. This is in addition to their well-established B2B offering. Their current Salesforce org uses the standard Account object to track B2B customers. They are expecting to have over 50,000,000 consumers over the next five years across their 50 business regions. B2C customers will be individuals. Household data is not required to be stored. What is the recommended data model for consumer account data to be stored in Salesforce?

A. Create a new picklist value for B2C customers on the Account Type field.
B. Use the Account object with Person Accounts and a new B2C page layout.
C. Use the Account object with a newly created Record Type for B2C customers.
D. Use 50 umbrella Accounts for each region, with customers as associated Contacts.

Answer: B

Explanation:
The recommended data model for consumer account data to be stored in Salesforce is to use the Account object with Person Accounts and a new B2C page layout. Person Accounts are a special type of accounts that allow you to store information about individual consumers who are not associated with a business account2. Person Accounts have the following advantages3:
They allow you to use the same standard objects and features that you use for business accounts, such as contacts, opportunities, cases, etc.
They enable you to create different page layouts and record types for B2C and B2B customers, which allows you to customize the user interface and business logic for each segment.
They support large data volumes and can scale up to 50 million records or more, which meets the expected growth of consumers over the next five years.

NEW QUESTION # 121
In their legacy system. Universal Containers has a monthly accounts receivable report that compiles data from Accounts, Contacts, Opportunities, Orders. and Order Line Items. What difficulty will an architect run into when implementing this in Salesforce?

A. A report cannot contain data from Accounts and Contacts.
B. Custom report types cannot contain Opportunity data.
C. Salesforce does not support Orders or Order Line Items.
D. Salesforce allows up to four objects in a single report type.

Answer: D

NEW QUESTION # 122
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