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Salesforce Certified Data Architect Exam Dumps

Last Updated : Mar 8, 2025
Total Questions : 257

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Total Questions : 257
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Total Questions : 257
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Data Architect Web Based Self Assessment Practice Test

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Following are some Data Architect Exam Questions for Review

Northern Trail Outfitters is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.

NIO employees will need to see these lol records within Salesforce and generate weekly reports on it. Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.

Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?



A consumer products company has decided to use Salesforce for its contact center. The contact center agents need access to the following information in Service Console when a customer contacts them:

1. Customer browsing activity on its website stored on its on premise system

2. Customer interactions with sales associates at its retail stores maintained in Salesforce

3. Contact center interactions maintained in Salesforce

4. Email campaign activity to customer from its marketing systems.

What should a data architect do to fulfill these requirements with minimum development effort in Salesforce?



Northern Trail Outfitters Is planning to build a consent form to record customer authorization for marketing purposes.

What should a data architect recommend to fulfill this requirement?



Northern Trail Outfitters needs to implement an archive solution for Salesforce dat

a. This archive solution needs to help NTO do the following:

1. Remove outdated Information not required on a day-to-day basis.

2. Improve Salesforce performance.

Which solution should be used to meet these requirements?



Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:

1. High Value

2. Medium Value

3. Low Value

Which strategy should a data architect recommend to configure customer type?



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