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Salesforce Certified Platform Data Architect (Plat-Arch-201) Exam Questions
- Salesforce Architect Certifications
- Salesforce Data Architect Certifications
- Topic 1: 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 2: 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 3: 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.
- Topic 4: Data Governance: This topic covers the approach for designing a GDPR-compliant data model, including identifying, classifying, and protecting personal and sensitive information. It also delves into different approaches and considerations for designing and implementing an enterprise data governance program.
- Topic 5: 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 6: 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.
Free Salesforce Salesforce Certified Platform Data Architect (Plat-Arch-201) Exam Actual Questions
Note: Premium Questions for Salesforce Certified Platform Data Architect (Plat-Arch-201) were last updated On Jul. 30, 2025 (see below)
A data architect has been tasked with optimizing a data stewardship engagement for a Salesforce instance Which three areas of Salesforce should the architect review before proposing any design recommendation? Choose 3 answers
Determining if any integration points create records in Salesforce, running key reports to determine what fields should be required, and reviewing the sharing model to determine impact on duplicate records are three areas of Salesforce that the architect should review before proposing any design recommendation. These areas will help to identify the sources and quality of data, the business rules and validations for data entry, and the access and visibility of data across users and roles. Reviewing the metadata xml files for redundant fields to consolidate, and exporting the setup audit trail to review what fields are being used are not necessary steps for optimizing a data stewardship engagement, as they are more related to metadata management and audit tracking.
Universal Container (US) is replacing a home-grown CRM solution with Salesforce, UC has decided to migrate operational (Open and active) records to Salesforce, while keeping historical records in legacy system, UC would like historical records to be available in Salesforce on an as needed basis.
Which solution should a data architect recommend to meet business requirement?
Get Cloud Consulting needs to integrate two different systems with customer records into the Salesforce Account object. So that no duplicate records are created in Salesforce, Master Data Management will be used.
An Architect needs to determine which system is the system of record on a field level.
What should the Architect do to achieve this goal?
Key stakeholders from both systems should collaborate with the Architect to determine which system is the system of record on a field level is what the Architect should do to achieve this goal of integrating two different systems with customer records into the Salesforce Account object using Master Data Management. The system of record is the authoritative source of truth for a given entity or field in a given context. Different systems may have different levels of accuracy, completeness, timeliness, or relevance for different fields. Therefore, it is important to involve key stakeholders from both systems who have knowledge and expertise about their data quality and business needs to decide which system should be the system of record for each field. The Architect should facilitate this collaboration and document the decisions and rationale for each field. The other options are not correct or feasible, as they would either delegate or abdicate the responsibility of determining the system of record, ignore or disregard the input from key stakeholders, or assume or impose a default system of record without considering the data quality and business needs.
UC is migrating data from legacy system to SF. UC would like to preserve the following information on records being migrated:
Date time stamps for created date and last modified date.
Ownership of records belonging to inactive users being migrated to Salesforce.
Which 2 solutions should a data architect recommends to preserve the date timestamps and ownership on records? Choose 2 answers.
The two solutions that a data architect should recommend to preserve the date timestamps and ownership on records being migrated are:
Cloud Kicks needs to purge detailed transactional records from Salesforce. The data should be aggregated at a summary level and available in Salesforce.
What are two automated approaches to fulfill this goal? (Choose two.)
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