---
sourceDocument: Australia Customer Service Management
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/customer-service-management

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Customer Service Management

ft:clusterId :

    - csm

bundleId :

    - csm

workflow :

    - Customer and Industry


---

# Configuring queues for asynchronous evaluation

# Queues for Recommended Actions application {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Admins and Recommended Actions administrators can configure queues to manage the asynchronous evaluation of recommendations.

## Access path and role requirements {#queues-for-recommended-actions-application__section_rqb_jc5_xfc}

To view or manage the queue, navigate to the following location in the application:

Navigate to All \> System PolicyQueue Registry

Required Roles: admin or sn_nb_action.next_best_action_admin.

## Default queue configuration {#queues-for-recommended-actions-application__section_blx_yc5_xfc}

The Recommended Actions application includes a preconfigured queue by default, for processing actions efficiently.

* Queue Name: sn_nb_action.ra_processor_queue_1
* Scale Factor: 2
* Polling Interval: 5 seconds
{#queues-for-recommended-actions-application__ul_mcn_bd5_xfc}

## Optimizing queue configuration for lower latency {#queues-for-recommended-actions-application__section_cdp_hd5_xfc}

To enhance responsiveness and reduce latency in action processing, consider increasing the Scale Factor, such as from **2** to **3**  
* Queue Name: sn_nb_action.ra_processor_queue_1.
* Updated Scale Factor: 3
* Polling Interval: 5 seconds
{#queues-for-recommended-actions-application__ul_kpd_qd5_xfc}

## Considerations for scaling {#queues-for-recommended-actions-application__section_sgt_5d5_xfc}

Increasing the Scale Factor enables the queue to process more items concurrently and reducing latency. However, it also increases demand on system resources such as CPU and memory.