Given a Scenario, Analyze the Implications and Design Considerations of Large Data and Transaction Volumes. AGENTFORCE-SALES-CONSULTANT Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A company is planning to migrate a large data set into Salesforce. The data set contains millions of records, and the migration must be completed within a limited time window. The company wants to minimize the impact on the production org. Which approach should the company use?

   • AUse Data Loader to load the data in a single batch.
   • BUse the Bulk API to load the data in parallel batches.
   • CUse the SOAP API to load the data in a single request.
   • DUse the REST API to load the data record by record.
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A Salesforce admin is troubleshooting performance issues. The org has 10 million Account records but only 500 daily active users. The users report that list views and reports are slow. The admin suspects a large data volume issue. Which additional factor should the admin consider to confirm the diagnosis?

   • AThe number of records returned by the queries, not just the total record count.
   • BThe number of custom objects in the org.
   • CThe amount of storage space used by the org.
   • DThe number of users accessing the system concurrently.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A company is designing a Salesforce solution that will handle a large number of records and a high number of transactions. The company wants to ensure the solution scales effectively. Which design pattern should the company adopt?

   • AUse synchronous processing for all operations to ensure data consistency.
   • BUse batch Apex for all data processing, including real-time operations.
   • CUse a single, monolithic Apex class for all business logic.
   • DUse asynchronous processing for long-running operations.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   In a data model designed for large data volumes, which practice is recommended to improve query performance?

   • ACreating indexes on all fields to speed up searches
   • BAvoiding the use of external IDs to reduce storage
   • CDenormalizing data by storing redundant information to reduce joins
   • DUsing formula fields to store calculated values
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A company is integrating Salesforce with an external data source. The integration will import a large volume of data on a daily basis. The company wants to minimize the impact on the Salesforce org. Which integration approach should the company use?

   • AUse the SOAP API to load the data in a single request.
   • BUse the Streaming API to load the data in real-time.
   • CUse the Bulk API to load the data in batches.
   • DUse the REST API to load the data record by record.
   Reveal Solution Discussion Select an answer first