A company integrates its ERP system with Salesforce to sync order data. The ERP sends a batch of 50,000 orders every hour. The integration currently uses a single REST API call for each order, causing frequent API limit errors. Which integration pattern would most efficiently handle this volume?

Schedule the integration to run only once a day to reduce frequency.

Increase the number of REST API calls by using multiple threads.

Use the Bulk API 2.0 to submit the orders as a single job with batched records.

Use the SOAP API with a single call that includes all 50,000 orders.

When analyzing the impact of large data volumes on Salesforce performance, which aspect is most likely to degrade as the number of records in a table grows?

The number of custom objects that can be created

The number of profiles available

The length of field names allowed

Query response time for non-selective queries

When designing an integration that sends large amounts of data to Salesforce, what is the recommended approach to avoid hitting API limits?

Batch the data into smaller chunks and send them sequentially

Send all data in a single large API call

Use only synchronous calls to ensure immediate processing

Avoid using the API altogether and use data export instead

What is the primary purpose of data archiving in Salesforce?

To reduce the amount of data stored in the org, helping to stay within storage limits

To improve the performance of all queries by making them more selective

To enable the use of custom indexes on more fields

To increase the number of API calls allowed per day

What is the primary purpose of setting up monitoring and alerting for data volume growth in Salesforce?

To automatically increase the storage limit

To proactively identify when storage is approaching limits

To improve the performance of all queries

To reduce the number of API calls

SalesforceCertified Agentforce Service Consultant

Domain 8Objective 1

Given a Scenario, Analyze the Implications and Design Considerations of Large Data and Transaction Volumes. AGENTFORCE-SERVICE-CONSULTANT Practice Questions (Page 5)

Part of the INTEGRATION AND DATA MANAGEMENT domain, which accounts for 15% of the AGENTFORCE-SERVICE-CONSULTANT exam.

31questions here

7free pages

9concepts

15%of the exam

Questions 21–25

21application · medium
A company integrates its ERP system with Salesforce to sync order data. The ERP sends a batch of 50,000 orders every hour. The integration currently uses a single REST API call for each order, causing frequent API limit errors. Which integration pattern would most efficiently handle this volume?
Select an answer first
22foundation · easy
When analyzing the impact of large data volumes on Salesforce performance, which aspect is most likely to degrade as the number of records in a table grows?
Select an answer first
23foundation · easy
When designing an integration that sends large amounts of data to Salesforce, what is the recommended approach to avoid hitting API limits?
Select an answer first
24foundation · easy
What is the primary purpose of data archiving in Salesforce?
Select an answer first
25foundation · easy
What is the primary purpose of setting up monitoring and alerting for data volume growth in Salesforce?
Select an answer first

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