Free Salesforce Salesforce-Contact-Center Exam Actual Questions

The questions for Salesforce-Contact-Center were last updated On Mar 31, 2025

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Question No. 1

You need to migrate complex workflows from your legacy system. Which tool facilitates this?

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Correct Answer: D

Depending on the complexity and requirements of the legacy workflows, you can utilize Process Builder for simple automation, Flow Builder for more intricate logic and integrations, or Apex code for custom scripting of advanced functionalities. Choose the tool that best suits the specific workflow you're migrating.


Question No. 2

To facilitate a transfer of an Enhanced Bot conversation to a queue, a consultant needs to use two routing types:

1. Omni-Channel Flow:

This is the primary type used to route the conversation from the bot to the queue.

The consultant can build a flow with a specific action to "Route Work Item."

This action allows you to specify the target queue where the conversation will be directed.

2. Dialog: (Optional)

While not required for basic transfers, dialogs can be used to

enhance the user experience during the transfer process.

For example, the consultant can create a dialog that informs the

customer about the need to transfer the conversation to a live agent

and provides estimated wait times.

Additionally, the dialog can collect any necessary information from the

customer before transferring the case to the queue.

A consultant is asked to migrate 100,000 historic cases from a legacy system to Cloud.

Which tool should the consultant use?

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Correct Answer: C

For migrating 100,000 historic cases from a legacy system to Salesforce, the consultant should use the Data Loader. Salesforce Data Loader is designed for bulk data operations and is the optimal tool for handling large-scale data migrations, such as 100,000 records or more. It provides the ability to insert, update, delete, or export Salesforce records. When importing data, Data Loader reads, extracts, and loads data from CSV files or from a database connection. For large data volumes, Data Loader is more efficient and robust than the Data Import Wizard, which is typically recommended for loading fewer than 50,000 records. The Data Loader also supports automated batch processing, making it suitable for migrating large datasets from legacy systems.


Question No. 3

Universal Containers (UC) has a service report requirement to provide a

snapshot of customers, including the service products they are using, case

reason, and priority,

Which dashboard in Service Analytics should UC use? Sidebar-By

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Correct Answer: C

For Universal Containers, the 'Account Profile' dashboard in Service Analytics is the most suitable choice. This dashboard provides a comprehensive snapshot of customers, including details on the service products they are using, case reasons, and priority. It is specifically designed to consolidate customer-related information, making it an ideal solution for UC's reporting needs.


Question No. 4

The company desires to monitor its adherence to service level agreements (SLAs). Which KPI is crucial for this purpose?

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Correct Answer: C

The SLA Adherence Rate is crucial for monitoring adherence to service level agreements (SLAs). This KPI measures the percentage of cases or inquiries resolved within the timeframes stipulated in the SLAs, providing a direct indicator of the contact center's compliance with agreed service standards. High SLA adherence rates indicate effective management and operational efficiency, essential for maintaining customer satisfaction and trust.


Question No. 5

The customer wants to track case resolution times by product category. Which reporting and analytics requirement is most relevant?

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Correct Answer: C

To effectively track case resolution times by product category, developing custom fields and reports specific to case categorization is most relevant. By adding custom fields to categorize cases based on the product and configuring reports to analyze resolution times for each category, organizations can gain insights into performance metrics segmented by product. This approach allows for more targeted analysis and improvement of service processes related to specific product lines.