Salesforce Certified Platform Data Architect (Plat-Arch-201)
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Exam Code
Data-Architect
Exam Name
Salesforce Certified Platform Data Architect (Plat-Arch-201)
Questions
257 Questions Answers With Explanation
Update Date
04, 29, 2026
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Salesforce Data-Architect Sample Question Answers
Question # 1
DreamHouse Realty has a Salesforce org that is used to manage Contacts.
What are two things an Architect should consider using to maintain data quality in this
situation? (Choose two.)
A. Use the private sharing model. B. Use Salesforce duplicate management. C. Use validation rules on new record create and edit. D. Use workflow to delete duplicate records.
Answer: B,C
Question # 2
Universal Containers (UC) is implementing a formal, cross -business -unit data governance
program As part of the program, UC will implement a team to make decisions on enterprise
-wide data governance. Which two roles are appropriate as members of this team? Choose
2 answers
A. Analytics/BI Owners B. Data Domain Stewards C. Salesforce Administrators D. Operational Data Users
Answer: A,B
Question # 3
UC has a legacy client server app that as a relational data base that needs to be migrated
to salesforce.
What are the 3 key actions that should be done when data modeling in salesforce? Choose 3 answers:
A. Identify data elements to be persisted in salesforce. B. Map legacy data to salesforce objects. C. Map legacy data to salesforce custom objects. D. Work with legacy application owner to analysis legacy data model. E. Implement legacy data model within salesforce using custom fields.
Answer: A,B,E
Question # 4
UC is rolling out Sales App globally to bring sales teams together on one platform. UC
expects millions of opportunities and accounts to be creates and is concerned about the
performance of the application.
Which 3 recommendations should the data architect make to avoid the data skew? Choose
3 answers.
A. Use picklist fields rather than lookup to custom object. B. Limit assigning one user 10000 records ownership. C. Assign 10000 opportunities to one account. D. Limit associating 10000 opportunities to one account. E. Limit associating 10000 records looking up to same records.
Answer: B,D
Question # 5
Universal Containers (UC) is a major supplier of office supplies. Some products are
produced by UC and some by other manufacturers. Recently, a number of customers have
complained that product descriptions on the invoices do not match the descriptions in the
online catalog and on some of the order confirmations (e.g., "ballpoint pen" in the catalog and "pen" on the invoice, and item color labels are inconsistent: "what vs. "White" or "blk"
vs. "Black"). All product data is consolidated in the company data warehouse and pushed
to Salesforce to generate quotes and invoices. The online catalog and webshop is a
Salesforce Customer Community solution. What is a correct technique UC should use to
solve the data inconsistency?
A. Change integration to let product master systems update product data directly in
Salesforce via the Salesforce API. B. Add custom fields to the Product standard object in Salesforce to store data from the different source systems. C. Define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse. D. Build Apex Triggers in Salesforce that ensure products have the correct names and labels after data is loaded into salesforce.
Answer: C
Question # 6
Universal Containers (UC) has a very large and complex Salesforce org with hundreds of
validation rules and triggers. The triggers are responsible for system updates and data
manipulation as records are created or updates by users. A majority of the automation tool
within UC’’ org were not designed to run during a data load. UC is importing 100,000
records into Salesforce across several objects over the weekend.
What should a data architect do to mitigate any unwanted results during the import?
A. Ensure validation rules, triggers and other automation tools are disabled. B. Ensure duplication and matching rules and defined. C. Import the data in smaller batches over a 24-hour period. D. Bulkily the trigger to handle import leads.
Answer: A
Question # 7
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?
A. Use a declarative approach by installing and configuring Data.com Clean to monitor Account data quality. B. Implement Batch Apex that calls out a third-party data quality API in order to monitor Account data quality. C. Use declarative approach by installing and configuring Data.com Prospector to monitor Account data quality. D. Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.
Answer: A
Question # 8
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities
with each account. A Sales Executive at UC needs to generate a daily report for all
opportunities in a specific opportunity stage.
Which two key considerations should be made to make sure the performance of the report
is not degraded due to large data volume?
A. Number of queries running at a time. B. Number of joins used in report query. C. Number of records returned by report query. D. Number of characters in report query.
Answer: B,C
Question # 9
DreamHouse Realty has an integration that creates records in a Salesforce Custom Object.
The Custom Object has a field marked as required on the page layout.
DreamHouse Realty has noticed that many of the records coming from the external system
are missing data in this field.
The Architect needs to ensure this field always contains data coming from the source
system.
Which two approaches should the Architect take? Choose 2 answers
A. Set up a Validation Rule to prevent blank values. B. Create a Workflow to default a value into this field. C. Mark the field required in setup at the field level. D. Blame the customer's external system for bad data.
Answer: A,C
Question # 10
Universal Containers (UC) is in the process of migrating lagacy 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 objects called Inventory_c.
Inventory data should be related to the standard Account object.
The Inventory_c object should Inhent 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?
A. Master-detail relationship filed on Account, related to Inventory_c B. Master-detail relationship filed on Inventory_c, related to Account C. Indirect lookup relationship field on Account, related to Inventory_c D. Lookup relationship fields on Inventory related to Account
Answer: A
Question # 11
A company has 12 million records, and a nightly integration queries these records.
Which two areas should a Data Architect investigate during troubleshooting if queries are
timing out? (Choose two.)
A. Make sure the query doesn't contain NULL in any filter criteria. B. Create a formula field instead of having multiple filter criteria. C. Create custom indexes on the fields used in the filter criteria. D. Modify the integration users' profile to have View All Data.
Answer: A,C
Question # 12
UC has millions of Cases and are running out of storage. Some user groups need to have
access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance
and storage issues?
Choose 2 answers:
A. Export data out of salesforce and store in Flat files on external system. B. Create a custom object to store case history and run reports on it. C. Leverage on premise data archival and build integration to view archived data. D. Leverage big object to archive case data and lightning components to show archived
data.
Answer: C,D
Question # 13
NTO (Northern Trail Outlets) has a complex Salesforce org which has been developed over
past 5 years. Internal users are complaining abt multiple data issues, including incomplete
and duplicate data in the org. NTO has decided to engage a data architect to analyze and
define data quality standards.
Which 3 key factors should a data architect consider while defining data quality standards?
Choose 3 answers:
A. Define data duplication standards and rules B. Define key fields in staging database for data cleansing C. Measure data timeliness and consistency D. Finalize an extract transform load (ETL) tool for data migration E. Measure data completeness and accuracy
Answer: A,C,E
Question # 14
Universal Containers has a large number of Opportunity fields (100) that they want to track
field history on. Which two actions should an architect perform in order to meet this
requirement? Choose 2 answers
A. Create a custom object to store a copy of the record when changed. B. Create a custom object to store the previous and new field values. C. Use Analytic Snapshots to store a copy of the record when changed. D. Select the 100 fields in the Opportunity Set History Tracking page.
Answer: A,B
Question # 15
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?
A. Standard reports and dashboards B. Async SOQL with a custom object C. Standard SOQL queries D. Einstein Analytics
Answer: B,D
Question # 16
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. Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending
marketing communications ; B. Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications. C. Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers. D. 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.
Answer: A
Question # 17
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?
A. Use Salesforce Object Query Language. B. Use a data definition language. C. Use an entity relationship diagram. D. Use the Salesforce Metadata API.
Answer: C,D
Question # 18
NTO processes orders from its website via an order management system (OMS). The
OMS stores over 2 million historical records and is currently not integrated with SF. The
Sales team at NTO using Sales cloud and would like visibility into related customer orders
yet they do not want to persist millions of records directly in Salesforce. NTO has asked the
data architect to evaluate SF connect and the concept of data verification. Which 3
considerations are needed prior to a SF Connect implementation?
Choose 3 answers:
A. Create a 2nd system Admin user for authentication to the external source. B. Develop an object relationship strategy. C. Identify the external tables to sync into external objects D. Assess whether the external data source is reachable via an ODATA endpoint. E. Configure a middleware tool to poll external table data
Answer: B,C,D
Question # 19
Universal Containers wants to develop a dashboard in Salesforce that will allow Sales
Managers to do data exploration using their mobile device (i.e., drill down into sales-related
data) and have the possibility of adding ad-hoc filters while on the move. What is a
recommended solution for building data exploration dashboards in Salesforce?
A. Create a Dashboard in an external reporting tool, export data to the tool, and add link to the dashboard in Salesforce. B. Create a Dashboard in an external reporting tool, export data to the tool, and embed the dashboard in Salesforce using the Canval toolkit. C. Create a standard Salesforce Dashboard and connect it to reports with the appropriate filters. D. Create a Dashboard using Analytics Cloud that will allow the user to create ad-hoc lenses and drill down.
Answer: D
Question # 20
As part of a phased Salesforce rollout. there will be 3 deployments spread out over the
year. The requirements have been carefully documented. Which two methods should an
architect use to trace back configuration changes to the detailed requirements? Choose 2
answers
A. Review the setup audit trail for configuration changes. B. Put the business purpose in the Description of each field. C. Maintain a data dictionary with the justification for each field. D. Use the Force.com IDE to save the metadata files in source control.
Answer: B,C
Question # 21
A large retail company has recently chosen SF as its CRM solution. They have the
following record counts:
2500000 accounts
25000000 contacts
When doing an initial performance test, the data architect noticed an extremely slow
response for reports and list views.
What should a data architect do to solve the performance issue?
A. Load only the data that the users is permitted to access B. Add custom indexes on frequently searched account and contact objects fields C. Limit data loading to the 2000 most recently created records. D. Create a skinny table to represent account and contact objects.
Answer: B
Question # 22
As part of addressing general data protection regulation (GDPR) requirements, UC plans to
implement a data classification policy for all its internal systems that stores customer
information including salesforce.
What should a data architect recommend so that UC can easily classify consumer
information maintained in salesforce under both standard and custom objects?
A. Use App Exchange products to classify fields based on policy. B. Use data classification metadata fields available in field definition. C. Create a custom picklist field to capture classification of information on customer. D. Build reports for customer information and validate.
Answer: B
Question # 23
Universal Containers (UC) is a business that works directly with individual consumers
(B2C). They are moving from a current home-grown CRM system to Salesforce. UC has
about one million consumer records. What should the architect recommend for optimal use
of Salesforce functionality and also to avoid data loading issues?
A. Create a Custom Object Individual Consumer c to load all individual consumers. B. Load all individual consumers as Account records and avoid using the Contact object. C. Load one Account record and one Contact record for each individual consumer. D. Create one Account and load individual consumers as Contacts linked to that one Account.
Answer: C
Question # 24
UC is planning a massive SF implementation with large volumes of data. As part of the
org’s implementation, several roles, territories, groups, and sharing rules have been
configured. The data architect has been tasked with loading all of the required data,
including user data, in a timely manner.
What should a data architect do to minimize data load times due to system calculations?
A. Enable defer sharing calculations, and suspend sharing rule calculations B. Load the data through data loader, and turn on parallel processing. C. Leverage the Bulk API and concurrent processing with multiple batches D. Enable granular locking to avoid “UNABLE _TO_LOCK_ROW” error.
Answer: A
Question # 25
Universal Containers (UC) 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. What should
the architect consider, knowing there will be a large amount of time entry records to be
loaded regularly from an external
system into Salesforce.com?
A. Load all data using external IDs to link to parent records. B. Use workflow to calculate summary values instead of Roll -Up. C. Use triggers to calculate summary values instead of Roll -Up. D. Load all data after deferring sharing calculations.
Answer: D
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