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Salesforce Certified Platform Data Architect Sample Questions:

1. 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?

A) Build custom components in Service Console to bring information from the marketing and website information.
B) Use Salesforce Connect to integrate the website and the marketing system into Service Console using external objects.
C) Create web tabs in Service Console to show website and marketing activities.
D) Build customer view in Service Console with components that show website data and marketing data as mashup.

2. An architect is planning on having different batches to load one million Opportunities into Salesforce using the Bulk API in parallel mode. What should be considered when loading the Opportunity records?

A) Sort batches by Name field values.
B) Order batches by Auto -number field.
C) Create indexes on Opportunity object text fields.
D) Group batches by the AccountId field.

3. 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) 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.
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) Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications;

4. North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data- visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

A) A backup and archive solution that extracts and restores data across orgs.
B) A middleware solution that extracts and distributes data across both the hub and spokes.
C) Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
D) Develop custom APIs to poll the spoke for change data and push into the org.

5. Universal Containers (UC) has 1,000 accounts and 50,000 opportunities. UC has an enterprise security requirement to export all sales data outside of Salesforce on a weekly basis. The security requirement also calls for exporting key operational data that includes events such as file downloads, logins, logouts, etc. Which two recommended approaches would address the above requirement?

A) Use a custom built extract job to extract operational data to on-premise systems.
B) Use Event Monitoring to extract event data to on-premise systems.
C) Use Weekly Export to extract transactional data to on-premise systems.
D) Use Field Audit History to capture operational data and extract it to on-premise systems.

Solutions: