The Salesforce Plat-Arch-201 - Salesforce Certified Platform Data Architect exam is part of the Salesforce Architect certification path. It is designed for professionals who work with enterprise data strategy, architecture, and governance on the Salesforce platform. This certification matters for candidates who want to prove their ability to design and manage scalable, secure, and well-governed data solutions. It is especially relevant for architects, consultants, and experienced Salesforce practitioners focused on data-driven business systems.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Data Modeling/Database Design | Data models, relationships, normalization, schema planning | 20% |
| 2 | Master Data Management | Golden records, identity resolution, duplicate handling | 15% |
| 3 | Salesforce Data Management | Data access, data quality, sharing considerations, lifecycle management | 20% |
| 4 | Data Governance | Policies, compliance, stewardship, retention controls | 15% |
| 5 | Large Data Volume Considerations | Performance planning, scalability, indexing, query optimization | 15% |
| 6 | Data Migration | Migration strategy, mapping, validation, cutover planning | 15% |
This exam tests how well candidates can apply data architecture concepts in practical Salesforce scenarios. It evaluates both technical depth and decision-making across design, governance, migration, and large-scale data handling. Success requires more than memorization because the questions assess how to choose the right approach for real business requirements. Candidates should be prepared to demonstrate solid knowledge of Salesforce data management principles and enterprise architecture thinking.
QA4Exam.com provides Exam PDF material with actual questions and answers, along with an Online Practice Test for the Salesforce Plat-Arch-201 exam. These resources help you study with updated questions that reflect the exam style and help you understand the correct answers more quickly. The practice test gives you a real exam simulation, so you can improve time management and get used to the pressure of the test environment. With verified answers and focused practice, you can build confidence and prepare more effectively for a first attempt pass.
This exam is for professionals in the Salesforce Architect path who work with data architecture, data governance, and enterprise data management on Salesforce.
Yes, it can be challenging because it tests practical understanding of data modeling, governance, migration, and large data volume considerations.
Braindumps alone are not a complete preparation method. You should use them with a structured review of the exam topics and practical understanding of the subject matter.
Hands-on experience is very helpful because the exam focuses on real-world data architecture decisions and practical Salesforce data management scenarios.
They are designed to strongly support first-attempt preparation by giving you actual questions and answers, verified content, and practice in a realistic exam format.
QA4Exam.com offers an Exam PDF and an Online Practice Test for the Salesforce Plat-Arch-201 exam, helping you study offline and also practice in an interactive test environment.
They help you measure your readiness, improve time management, and become familiar with the question style so you can answer more confidently during the real exam.
A Customer is migrating 10 million order and 30 million order lines into Salesforce using Bulk API. The Engineer is experiencing time-out errors or long delays querying parents order IDs in Salesforce before importing related order line items. What is the recommended solution?
Leverage an External ID from source system orders to import related order lines. This is the recommended solution because it allows you to use the upsert operation to match records based on the External ID field, which is indexed and unique.This avoids the need to query the parent order IDs in Salesforce before importing the order line items, which can cause time-out errors or long delays1.
What makes Skinny tables fast? Choose three answers.
Skinny tables are custom tables that contain frequently used fields from a standard or custom object. They are used to improve performance by reducing the number of database joins required for queries.Skinny tables have the following characteristics1:
They do not include soft-deleted records, which means they only contain active records and save space.
They avoid resource intensive joins by storing data from multiple objects in one table, which reduces the query time and complexity.
Their tables are kept in sync with their source tables when the source tables are modified, which ensures data consistency and accuracy.
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.
Universal Containers (UC) is implementing a Salesforce project with large volumes of data and daily transactions. The solution includes both real-time web service integrations and Visualforce mash -ups with back -end systems. The Salesforce Full sandbox used by the project integrates with full-scale back -end testing systems. What two types of performance testing are appropriate for this project?
Choose 2 answers
Pre-go-live automated page-load testing against the Salesforce Full sandbox can help identify and resolve any performance bottlenecks or issues before deploying the solution to production. The Full sandbox is an ideal environment for performance testing as it replicates the production org in terms of data, metadata, and integrations. Stress testing against the web services hosted by the integration middleware can also help evaluate the scalability and reliability of the integration solution under high load conditions.
Universal Containers (UC) is in the process of migrating legacy inventory data from an enterprise resources planning (ERP) system into Sales Cloud with the following requirements:
Legacy inventory data will be stored in a custom child object called Inventory_c.
Inventory data should be related to the standard Account object.
The Inventory object should Invent the same sharing rules as the Account object.
Anytime an Account record is deleted in Salesforce, the related Inventory_c record(s) should be deleted as well.
What type of relationship field should a data architect recommend in this scenario?
According to the Salesforce documentation, a relationship field is a field that allows linking one object to another object in Salesforce. There are different types of relationship fields that have different characteristics and behaviors, such as master-detail, lookup, indirect lookup, external lookup, etc.
To recommend a type of relationship field for this scenario, where legacy inventory data will be stored in a custom child object called Inventory__c, inventory data should be related to the standard Account object, the Inventory__c object should inherit the same sharing rules as the Account object, and anytime an Account record is deleted in Salesforce, the related Inventory__c record(s) should be deleted as well, a data architect should recommend:
Master-detail relationship field on Inventory__c, related to Account (option B). This means creating a field on the Inventory__c object that references the Account object as its parent. A master-detail relationship field establishes a parent-child relationship between two objects, where the parent object controls certain behaviors of the child object. For example, a master-detail relationship field can:
Inherit the sharing and security settings from the parent object to the child object. This means that the users who can access and edit the parent record can also access and edit the related child records.
Cascade delete from the parent object to the child object. This means that when a parent record is deleted, all the related child records are also deleted.
Roll up summary fields from the child object to the parent object. This means that the parent object can display aggregated information from the child records, such as count, sum, min, max, or average.
Master-detail relationship field on Account, related to Inventory__c (option A) is not a good solution, as it reverses the direction of the relationship. This means creating a field on the Account object that references the Inventory__c object as its parent. This is not possible, as a standard object cannot be on the detail side of a master-detail relationship. Indirect lookup relationship field on Account, related to Inventory__c (option C) is also not a good solution, as it is a special type of relationship field that allows linking a custom object to a standard object on an external system using an indirect reference. This is not applicable for this scenario, as both objects are in Salesforce and do not need an external reference. Lookup relationship field on Inventory__c related to Account (option D) is also not a good solution, as it establishes a looser relationship between two objects than a master-detail relationship. A lookup relationship field does not inherit sharing and security settings from the parent object to the child object, does not cascade delete from the parent object to the child object, and does not roll up summary fields from the child object to the parent object.
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