A Salesforce administrator notices that reports and list views are taking longer to load as the number of records in an object grows. Which large data volume (LDV) implication is most directly causing this performance degradation?

The transaction volume exceeds the maximum number of API calls allowed per hour.

Increased storage consumption reduces the available sandbox space.

The governor limits for CPU time are exceeded by the report generation process.

Skewed data and lack of selective filters force the query optimizer to scan more rows.

When integrating Salesforce with an external system that sends millions of records daily, which integration choice is most appropriate to handle the large data volume?

Using Bulk API to load data in batches

Using a single SOAP call to send all records at once

Using a custom Apex web service to handle each record individually

Using a synchronous REST API call for each record

Which design pattern is commonly used to handle large data volumes in Salesforce by processing records in smaller chunks?

Storing all data in a single custom object to avoid joins

Using synchronous Apex triggers for all data processing

Using Batch Apex to process records in manageable batches

Increasing the number of fields on an object to reduce the need for related records

A company has a custom object with over 50 million records. The admin notices that reports and list views are extremely slow. The company needs to keep all data accessible for compliance reasons. Which solution should the admin recommend?

Use the Salesforce Data Export service to export the data and delete it from Salesforce.

Archive the data to an external data store and use a third-party reporting tool.

Create a custom index on the object's most queried fields.

Use Big Objects to store the data and create custom reports on the Big Object.

A company is integrating Salesforce with an external data warehouse. The integration sends millions of records daily, causing API call limits to be exceeded and slowing down the Salesforce org. The company needs to maintain near-real-time data synchronization without impacting performance. Which approach should the company take?

Use a middleware platform to batch the data and send it via Bulk API.

Increase the API call limits by purchasing additional API requests.

Use Salesforce Connect to access the external data in real-time without storing it in Salesforce.

Use batch Apex to process the data in chunks and schedule it during off-peak hours.

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Domain 10Objective 3

Given a Scenario, Analyze the Implications and Design Considerations of Large Data and Transaction Volumes. AGENTFORCE-SALES-CONSULTANT Practice Questions (Page 1)

Part of the INTEGRATION AND DATA MANAGEMENT domain, which accounts for 5% of the AGENTFORCE-SALES-CONSULTANT exam.

18questions here

4free pages

5concepts

5%of the exam

Questions 1–5

1foundation · easy
A Salesforce administrator notices that reports and list views are taking longer to load as the number of records in an object grows. Which large data volume (LDV) implication is most directly causing this performance degradation?
Select an answer first
2foundation · easy
When integrating Salesforce with an external system that sends millions of records daily, which integration choice is most appropriate to handle the large data volume?
Select an answer first
3foundation · easy
Which design pattern is commonly used to handle large data volumes in Salesforce by processing records in smaller chunks?
Select an answer first
4application · medium
A company has a custom object with over 50 million records. The admin notices that reports and list views are extremely slow. The company needs to keep all data accessible for compliance reasons. Which solution should the admin recommend?
Select an answer first
5expert · hard
A company is integrating Salesforce with an external data warehouse. The integration sends millions of records daily, causing API call limits to be exceeded and slowing down the Salesforce org. The company needs to maintain near-real-time data synchronization without impacting performance. Which approach should the company take?
Select an answer first

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