A customer of Salesforce has used Platform Events to integrate their Salesforce instance with an external third-party Artificial Intelligence (AI) system. The AI system provides a prediction score for each lead that is received by Salesforce. Once the prediction score is received, the lead information is saved to Platform events for other processes. The trigger on the Platform Events is failing once this was rolled out to Production.
What type of monitoring should the Integration Consultant have considered to monitor this integration?

• A.Monitor Platform Events created per hour limits across the Salesforce instance.
• B.Set up debug logs for Platform Event triggers to monitor performance.
• C.Validate the Platform Event definition matches leads definition.
• D.Monitor the volume of leads that are created in Salesforce.

Comment: *

Name: *

Email: *

Verification: *

A large enterprise customer operating in a high regulated industry is planning to implement Salesforce for customer facing associates in both Sales and Service, and back-office staff. The business processes that Salesforce supports are critical to the business.
Salesforce will be integrated to multiple back-office systems to provide a single interface for associates.
Reliability and monitoring of these integrations are required as associates support customers.
Which integration solution should the architect consider when planning the implementation?

• A.Architect Services in back-office systems to support callouts from Salesforce and build reliability, monitoring and reporting capabilities.
• B.Decouple back-office system callouts into separate distinct services that have inbuilt error logging and monitoring frameworks.
• C.Build a custom integration gateway to support back-office system integrations and ensure reliability and monitoring capabilities.
• D.Leverage Middleware for all back-office system integrations ensuring real time alerting, monitoring and reporting capabilities.

Comment: *

Name: *

Email: *

Verification: *

Given the diagram below, a Salesforce org, middleware, and Historical data store (with
20million records and growing) exists with connectivity between them
Historical records are archived from Salesforce and moved to Historical Data store (which houses 20M records and growing; fine-tuned to be performant with search queries).
Call center agents use Salesforce, when reviewing occasional special cases, have requested access to view the related historical case items that relate to submit cases.
Which mechanism and patterns are recommended to maximize declarative configuration?

• A.Use ESB tool with Data Virtualization pattern, expose OData endpoint, and then use Salesforce Connect to consume and display the External Object alongside with the Caseobject.
• B.C Use an ESB tool with a fire and forget pattern and then publish a platform event for the requested historical data.
• C.Use an ESB tool with Request-Reply pattern and then make a real-time Apex callout to the ESB endpoint to fetch and display component related to Case object
• D.Use an ETL tool with a Batch Data Synchronization pattern to migrate historical data into Salesforce and into a custom object (historical data) related to Case object.

Comment: *

Name: *

Email: *

Verification: *

What is the first thing an Integration Architect should validate if a callout from a LightningWeb Component to an external endpoint is failing?

• A.The endpoint domain has been added to Cross-Origin Resource Sharing.
• B.The endpoint URL has been added to Content Security Policies.
• C.The endpoint URL has added been to an outbound firewall rule.
• D.The endpoint URL has been added to Remote Site Settings.

Comment: *

Name: *

Email: *

Verification: *

Northern Trail Outfitters is planning to create a native employee facing mobile app with the look and feel of Salesforce's Lighting Experience. The mobile ap needs to integrate with their Salesforce org.
Which Salesforce API should be used to implement this integration?

• A.Connect REST API
• B.User Interface API
• C.REST API
• D.Streaming API

Comment: *

Name: *

Email: *

Verification: *