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Salesforce Certified Platform Data Architect (Plat-Arch-201) Exam Questions
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- 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 Mar. 10, 2026 (see below)
Universal Containers (UC) is implementing its new Internet of Things technology, which consists of smart containers that provide information on container temperature and humidity updated every 10 minutes back to UC. There are roughly 10,000 containers equipped with this technology with the number expected to increase to 50,000 across the next five years. It is essential that Salesforce user have access to current and historical temperature and humidity data for each container. What is the recommended solution?
The recommended solution for Universal Containers (UC) to implement its new Internet of Things technology is to create a new Container Reading custom object with a master-detail relationship to Container which is created when a new measure is received for a specific container. Implement an archiving process that runs every hour. This solution would allow UC to store and access current and historical temperature and humidity data for each container on Salesforce, and use reports and dashboards to analyze it. However, since UC expects a large volume of data over time, they should implement an archiving process that moves data off-platform after a certain period of time to avoid hitting the Org data storage limit and maintain optimal performance. The other options are not recommended, as they would either not store the historical data on Salesforce, or create too many custom fields on the Container object that could impact performance and usability.
UC has been using SF for 10 years. Lately, users have noticed, that the pages load slowly when viewing Customer and Account list view.
To mitigate, UC will implement a data archive strategy to reduce the amount of data actively loaded.
Which 2 tasks are required to define the strategy? Choose 2 answers:
The two tasks required to define the data archive strategy are to identify how the archive data will be accessed and used, and identify the data retention requirements. Data archiving is the process of moving infrequently used or historical data from active storage to a separate storage location for long-term retention. Data archiving can improve performance, reduce storage costs, and comply with legal or regulatory obligations. To define a data archive strategy, a data architect needs to consider how the archived data will be accessed and used by different users or processes in Salesforce or outside Salesforce, and how long the archived data needs to be retained based on business or legal requirements.
Universal Containers (UC) wants to capture information on how data entities are stored within the different applications and systems used within the company. For that purpose, the architecture team decided to create a data dictionary covering the main business domains within UC. Which two common techniques are used building a data dictionary to store information on how business entities are defined?
Universal Containers (UC) is in the process of selling half of its company. As part of this split, UC's main Salesforce org will be divided into two org:org A and org B, UC has delivered these requirements to its data architect
1. The data model for Org B will drastically change with different objects, fields, and picklist values.
2. Three million records will need to be migrated from org A to org B for compliance reasons.
3. The migrate will need occur within the next two month, prior to be split.
Which migrate strategy should a data architect use to successfully migrate the date?
Universal Containers (UC) has a requirement to create an Account plan object that is related to the Account object. Each Account plan needs to have an Account object, but the accessibility requirement of the Account plan is different from the Account object. What should an Architect recommend?
Creating an account plan object with a lookup relationship to Account with validation rules to enforce the Account association can help UC meet their requirement. A lookup relationship allows different accessibility requirements for the account plan object and the account object, as well as different ownership and sharing settings. A validation rule can ensure that each account plan has an account associated with it.
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