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This is because a parameter is a variable that can be defined and modified by the user or the script, and can be used to customize the behavior and output of the NAE script. A parameter can be referred to by using the syntax self ^ramsfname], where ramsfname is the name of the parameter.

By defining a parameter for the RADIUS server, you can make the NAE script more flexible and adaptable to different scenarios and switches. The parameter can be set to a default value, such as cp.acnsxtest.local, but it can also be changed by the user or the script based on the network conditions and requirements. For example, the user can select a different hostname or IP address for the monitored RADIUS server when they create an agent from the script, or the script can automatically detect and update the parameter based on the switch configuration. This way, the NAE script can monitor statistics from any RADIUS server defined on the switch without hard-coding the server name or IP address in the monitor URI.

A) Use this variable, %{radius-ipV when defining the monitor URI in the NAE agent script. This is not a valid recommendation because %{radius-ipV is not a valid variable in NAE scripts. Variables in NAE scripts are prefixed with self ^ramsfname], not with %. Moreover, radius-ipV is not a predefined variable that contains the RADIUS server name or IP address, but rather a generic term that could refer to any IP version.

C) Use a callback action to collect the name of any RADIUS servers defined on the switch at the time the agent is created. This is not a bad recommendation, but it is not as good as defining a parameter. A callback action is a feature that allows an NAE script to execute a command on the switch and collect its output for further processing or display. A callback action can be used to collect the name of any RADIUS servers defined on the switch by executing a command such as show radius-server or show running-config radius-server and parsing its output. However, a callback action might not be as fast or reliable as using a parameter, as it depends on the availability and responsiveness of the switch and its CLI.

D) Make the script editable so that admins can edit it on demand when they are creating scripts. This is not a good recommendation because making the script editable exposes it to potential errors or modifications that could affect its functionality or performance. Making the script editable also requires more effort and expertise from the admins, who might not be familiar with NAE scripting syntax or logic. Moreover, making the script editable does not future proof it, as it does not allow for dynamic changes or updates based on network conditions or requirements.

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This is because the Live Events monitoring tool is a feature that allows you to view and filter real-time events and alerts from your network devices and clients on Aruba Central. You can use the Live Events monitoring tool to detect which IoT clients have used SSH by applying the following filters:

Category: IoT

Application: SSH

The Live Events monitoring tool will then display a list of all the IoT clients that have used SSH, along with other information such as their IP address, MAC address, hostname, SSID, AP name, etc. You can also export the list as a CSV file for further analysis or reporting.

A) Create and apply a Central client profile tag that selects the SSH application and the clients' category. This is not the fastest way to find a list of all the IoT clients that have used SSH because creating and applying a client profile tag is a process that involves several steps and might take some time to take effect. A client profile tag is a feature that allows you to group and classify clients based on various criteria, such as device type, OS, category, application, etc. To create and apply a client profile tag that selects the SSH application and the clients' category, you need to do the following:

Navigate to Clients > Client Profile Tags on Aruba Central.

Click Add Tag and enter a name and description for the tag.

Click Add Rule and select Application as the attribute and SSH as the value.

Click Add Rule again and select Category as the attribute and IoT as the value.

Click Save to create the tag.

Navigate to Clients > Client List on Aruba Central.

Select the clients that you want to apply the tag to and click Assign Tag.

Select the tag that you created and click Apply.

After applying the tag, you can then filter the client list by the tag name and see a list of all the IoT clients that have used SSH. However, this method might not be as fast or accurate as using the Live Events monitoring tool, as it depends on how often the client profile tags are updated and synchronized with Aruba Central.

B) Run a search for SSH traffic and loT client IDs in Aruba ClearPass Policy Manager's (CPPM's) accounting information. This is not the fastest way to find a list of all the IoT clients that have used SSH because running a search in CPPM's accounting information is a process that involves accessing another system and querying a large amount of data. Accounting information is a feature that allows CPPM to collect and store data about network sessions, such as start time, end time, duration, bytes sent/received, etc. To run a search for SSH traffic and IoT client IDs in CPPM's accounting information, you need to do the following:

Log in to CPPM and navigate to Monitoring > Live Monitoring > Accounting.

Click on Advanced Search and enter SSH as the value for Service Name.

Click on Add Filter and enter IoT as the value for Endpoint Category.

Click on Search to run the query.

The query will then return a list of all the network sessions that involved SSH traffic and IoT clients. However, this method might not be as fast or convenient as using the Live Events monitoring tool, as it requires logging in to another system and searching through a large amount of data that might not be relevant or current.

D) Use Central's Gateway IDS/IPS Security Dashboard to search for SSH events and sources. This is not a valid way to find a list of all the IoT clients that have used SSH because the Gateway IDS/IPS Security Dashboard is a feature that only applies to wired network devices connected to Aruba gateways, not wireless devices connected to Aruba APs. The Gateway IDS/IPS Security Dashboard is a feature that allows you to monitor and manage security events and alerts from your wired network devices on Aruba Central. You can use the Gateway IDS/IPS Security Dashboard to search for security events related to SSH, such as brute force attacks or unauthorized access attempts, but not for normal SSH traffic from wireless IoT devices. Therefore, this method will not help you find a list of all the IoT clients that have used SSH.

This is because a parameter is a variable that can be defined and modified by the user or the script, and can be used to customize the behavior and output of the NAE script. A parameter can be referred to by using the syntax self ^ramsfname], where ramsfname is the name of the parameter.

By defining a parameter for the value, the developer can make the NAE script more flexible and adaptable to different scenarios and switches. The parameter can be set to a default value, such as 10, but it can also be changed by the user or the script based on the network conditions and requirements. For example, the parameter can be adjusted dynamically based on the average or standard deviation of the number of rejects per hour, or based on the feedback from the user or other admins. This way, the NAE script can trigger an alert only when the number of rejects is truly unusual and not just arbitrary.

A) Checking one of the access switches' RADIUS statistics and adding 10 to the number listed for rejects. This is not a good recommendation because it does not account for the variability and diversity of the network environment and switches. The number of rejects listed for one switch might not be representative or relevant for another switch, as different switches might have different traffic patterns, client types, RADIUS configurations, etc. Moreover, adding 10 to the number of rejects is an arbitrary and fixed value that might not reflect the actual threshold for triggering an alert.

B) Defining a baseline and referring to it for the value. This is not a bad recommendation, but it is not as good as defining a parameter. A baseline is a reference point that represents the normal or expected state of a network metric or performance indicator. A baseline can be used to compare and contrast the current network situation and detect any anomalies or deviations. However, a baseline might not be easy or accurate to define, as it might require historical data, statistical analysis, or expert judgment. Moreover, a baseline might not be stable or constant, as it might change over time due to network growth, evolution, or optimization.

C) Using 10 (per hour) as a good starting point for the value. This is not a good recommendation because it is an arbitrary and fixed value that might not reflect the actual threshold for triggering an alert. Using 10 (per hour) as the value might result in false positives or false negatives, depending on the network conditions and switches. For example, if the normal number of rejects per hour is 5, then using 10 as the value might trigger an alert too frequently and unnecessarily. On the other hand, if the normal number of rejects per hour is 15, then using 10 as the value might miss some important alerts and risks.