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Salesforce Data-Architect Exam Sample Questions


Question # 1

Universal Containers (UC) is concerned about the accuracy of their Customer information in Salesforce. They have recently created an enterprise-wide trusted source MDM for Customer data which they have certified to be accurate. UC has over 20 million unique customer records in the trusted source and Salesforce. What should an Architect recommend to ensure the data in Salesforce is identical to the MDM?

A.

Extract the Salesforce data into Excel and manually compare this against the trusted source.

B.

Load the Trusted Source data into Salesforce and run an Apex Batch job to find difference.

C.

Use an AppExchange package for Data Quality to match Salesforce data against the Trusted source.

D.

Leave the data in Salesforce alone and assume that it will auto-correct itself over time.



C.

Use an AppExchange package for Data Quality to match Salesforce data against the Trusted source.






Question # 2

Universal Containers has a rollup summary field on account to calculate the number of contacts associated with an account. During the account load, Salesforce is throwing an "UNABLE _TO_LOCK_ROW" error. Which solution should a data architect recommend to resolve the error?

A.

Defer rollup summary field calculation during data migration.

B.

Perform a batch job in serial mode and reduce the batch size.

C.

Perform a batch job in parallel mode and reduce the batch size.

D.

Leverage Data Loader's platform API to load data.



B.

Perform a batch job in serial mode and reduce the batch size.






Question # 3

NTO has decided that it is going to build a channel sales portal with the following requirements:
1.External resellers are able to authenticate to the portal with a login.
2.Lead data, opportunity data and order data are available to authenticated users.
3.Authenticated users many need to run reports and dashboards.
4.There is no need for more than 10 custom objects or additional file storage.
Which community cloud license type should a data architect recommend to meet the portal requirements?

A.

Customer community.

B.

Lightning external apps starter.

C.

Customer community plus.

D.

Partner community.



D.

Partner community.






Question # 4

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.



C.

Define a data taxonomy for product data and apply the taxonomy to the product data in the data warehouse.






Question # 5

Universal Containers (UC) is migrating from an on-premise homegrown customer relationship management (CRM) system- During analysis, UC users highlight a pain point that there are multiple versions of many customers. What should the data architect do for a successful migration to mitigate the pain point?

A.

Hire an intern manually de-duplicate the records after migrating to Salesforce.

B.

Migrate the data as is, and use Salesforce's de-duplicating feature.

C.

Have the users manually clean the data in the old system prior to migration.

D.

Store the data in a staging database, and de-duplicate identical records.



D.

Store the data in a staging database, and de-duplicate identical records.





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