Most Recent Nokia 4A0-AI1 Exam Dumps

Ad-hoc actions are wrappers around existing system actions that allow for more flexibility in terms of what can be done. They are not default actions provided by Workflow Manager, nor are they special actions for NSP applications. Ad-hoc actions can be used by multiple workflows.

This system action allows you to pause a workflow and prompt the user for input.You can use this action to confirm or deny a course of action, or to enter some data that isrequired for the workflow1. For example, you can use nsp.user_input to ask the user if they want to continue with a service deployment or rollback.

The other options are not correct because:

std.sleep is a standard Python function that pauses the execution of a script for a specified number of seconds2.

nsp.wait is a system action that waits for an event or condition to occur before resuming the workflow1. For example, you can use nsp.wait to wait for a service activation status change or a network element alarm.

nsp.pause_before is not a valid system action.There is no such action defined in the NSP documentation1.

This attribute specifies a manual approval step before executing a task1. The other attributes will either delay or abort the execution of a task, but not halt the entire workflow.

NSP APIs allow for supervision of network elements, help with the definition and activation of network services, and allow for an OSS and NSP server to talk to each other. However, they do not support GraphQL, which is a query language for APIs.

According to Nokia NSP IP Network Automation Professional guide, NSP APIs support REST/RESTCONF, SOAP/XML and GraphQlll, and help with the definition and activation of network services, and they also allow for supervision of network elements and an OSS and NSP server to talk to each other. Therefore, statement B is false as it states that NSP APIs support Kafka which is not mentioned in the guide as a supported API.

CLI is not used in Model Driven Telemetry. Model Driven Telemetry is a technology that uses YANG data models, NETCONF, gRPC and KAFKA to monitor and collect data from network elements. It provides an abstracted view of the network element and is vendor agnostic.

Model Driven Telemetry is a method of collecting real-time data from network devices, allowing for more efficient network monitoring and troubleshooting. It uses a variety of protocols and standards, including NETCONF, gRPC, and Kafka. However, CLI is a text-based user interface used for issuing commands to a device, and it is not typically used for collecting telemetry data.

According to the Nokia Network Services Platform for industry and the public sector datasheet1,NSP model-driven telemetry frameworksupports the Nokia SR OS and third-party devices in configuring and collecting performance statistics usinggRPC, SNMP,NETCONFand accounting files such as SAP QoS1.It also enables data to be persisted in a database and be made available (e.g., over aKafkabus) for a variety of use cases1.