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Master Salesforce Plat-Arch-201: Platform Data Architect Exam Success

Stepping into the elite circle of Salesforce Certified Platform Data Architects means commanding six-figure salaries and architecting enterprise-scale solutions that transform businesses. Yet the Plat-Arch-201 exam's complexity—spanning data modeling, governance frameworks, master data management, and large data volume strategies—stops 60% of candidates on their first attempt. Our battle-tested practice questions mirror real exam scenarios you'll face, developed by architects who've designed solutions for Fortune 500 Salesforce implementations. Whether you're transitioning from developer roles or expanding your architect portfolio, our PDF, web-based, and desktop formats adapt to your learning rhythm—study during commutes, lunch breaks, or deep-focus sessions. Each question includes detailed explanations connecting Heroku integration, Einstein Analytics, and API optimization concepts that interviewers probe during architect-level discussions. Join thousands who've transformed anxiety into confidence and attempts into achievements.

Question 1

An Architect needs to document the data architecture for a multi-system, enterprise Salesforce implementation.

Which two key artifacts should the Architect use? (Choose two.)


Correct : B, C

Option B is correct because data model is a key artifact that an architect should use to document the data architecture for a multi-system, enterprise Salesforce implementation1. Data model describes the structure and relationship of data entities within an organization2. Option C is correct because integration specification is another key artifact that an architect should use to document the data architecture for a multi-system, enterprise Salesforce implementation1. Integration specification defines the scope, requirements, design, testing, and deployment of integration solutions between Salesforce and other systems3. Option A is not correct because user stories are not key artifacts for documenting the data architecture, but agile development tools that capture the features and functionalities that users want from a system4. Option D is not correct because non-functional requirements are not key artifacts for documenting the data architecture, but quality attributes that specify how well a system performs its functions.


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Question 2

Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?


Correct : A

Using a declarative approach by installing and configuring Data.com Clean to monitor Account data quality can help UC meet their requirement. Data.com Clean can enrich and cleanse data on an ongoing basis by comparing Salesforce records with Data.com records and providing suggestions for updates.Data.com Clean can also provide dashboards and reports to monitor key data quality metrics such as match rate, field fill rate, and record completeness


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Question 3

A customer needs a sales model that allows the following:

Opportunities need to be assigned to sales people based on the zip code.

Each sales person can be assigned to multiple zip codes.

Each zip code is assigned to a sales area definition. Sales is aggregated by sales area for reporting.

What should a data architect recommend?


Correct : D

The best solution to assign opportunities based on zip code and sales area is to configure territory management feature to support opportunity assignment. Territory management is a feature that allows you to organize your sales team into territories based on criteria such as geography, industry, product line, or customer segment. You can assign accounts and opportunities to territories using assignment rules or manual sharing.You can also define forecast managers and roll up forecasts by territory45. Assign opportunities using list views using zip code is not a good solution because it is inefficient and does not support reporting by sales area. Add custom fields in opportunities for zip code and use assignment rules is not a good solution because it requires creating additional fields and does not support reporting by sales area. Allow sales users to manually assign opportunity ownership based on zip code is not a good solution because it is prone to errors and does not support reporting by sales area.


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Question 4

North Trail Outfitters (NTD) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly.

Which two native tools should a data architect recommend to achieve this reporting requirement?


Correct : B, D

Async SOQL with a custom object (option B) and Einstein Analytics (option D) are the two native tools that can be used to report on big object data. Async SOQL allows querying big object data and storing the results in a custom object, which can then be used for reporting. Einstein Analytics can connect to big object data sources and provide advanced analytics and visualization features.Standard reports and dashboards (option A) and standard SOQL queries (option C) cannot be used to report on big object data, as they do not support big object fields


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Question 5

What makes Skinny tables fast? Choose three answers.


Correct : A, B, C

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.


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Total 257 questions