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| Section | Objectives |
|---|---|
| Topic 1: Data Collection Implementation | - Deploy and manage agents
|
| Topic 2: Platforms and Architecture | - Describe network assurance platforms
|
| Topic 3: Insights and Alerts | - Generate and interpret insights
|
| Topic 4: Data Analysis | - Identify trends and anomalies
|
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NEW QUESTION # 94
SNMP data indicates that a wireless access point is experiencing high channel utilization and increased retransmissions. What optimization would you recommend to improve voice call quality for users on this access point?
Answer: A
Explanation:
In wireless network assurance, high channel utilization and increased retransmissions are clear indicators of RF interference or over-subscription. Retransmissions are particularly damaging to voice call quality because they introduce significant jitter and late-arrival packet loss that the jitter buffer cannot overcome.
The recommended optimization is to change the access point to a different, less congested channel (Option B). This directly reduces the competition for airtime (Channel Utilization) and the likelihood of collisions from neighboring access points (Co-Channel Interference), which in turn lowers the retransmission rate. Modern wireless controllers using Radio Resource Management (RRM) often automate this, but a manual adjustment based on SNMP telemetry is a valid operational fix.
NEW QUESTION # 95
Your organization wants to be notified of an event as soon as it is triggered by an alert threshold.
This notification should be sent to your ITSM and generate an incident so it can be responded to appropriately. What kind of integration should you use?
Answer: C
Explanation:
In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, the objective of modern network assurance is to bridge the gap between "visibility" and "action".
When an organization requires an automated workflow to handle network performance anomalies, the most efficient architecture is the native ServiceNow Integration (Option A). This integration is categorized as a "Custom-Built" or native integration within the ThousandEyes platform, designed specifically to facilitate the delivery of direct notifications into a ServiceNow account.
According to the ENNA implementation standards, the ThousandEyes ServiceNow integration utilizes the ServiceNow Incident Management module. When a predefined alert rule (such as a
5% packet loss threshold on a critical SaaS path) is violated, ThousandEyes triggers an event and immediately pushes the alert data to ServiceNow via an OAuth-authenticated connection.
Within ServiceNow, this data is used to automatically generate an Incident, complete with relevant metadata such as the test name, agent location, and the specific metrics that triggered the violation. This automation eliminates the manual overhead of "copy-pasting" alert details from a monitoring dashboard into a ticketing system, thereby significantly reducing the Mean Time to Identification (MTTI).
NEW QUESTION # 96
Analyzing the IT operations dashboard, which agent has a better HTTP Connect Time?
Answer: A
Explanation:
Detailed Explanation:
In the IT Operations Dashboard, performance metrics are displayed per agent to facilitate granular troubleshooting. By reviewing the latest metrics table, the Mexico City Mexico (TelMex) agent displays a Connect time of 0.51 ms, which is significantly lower (and therefore "better") than the corresponding time for the San Jose CA agent. Connect time measures the duration for the TCP three-way handshake; a lower value indicates faster network-layer establishment.
NEW QUESTION # 97
What is a key consideration when configuring network tests using Thousand Eyes and Meraki Insights?
Answer: D
Explanation:
A key consideration when configuring network tests is minimizing packet loss to ensure accurate performance measurement and analysis in network assurance.
NEW QUESTION # 98
A network engineer wants to measure their SD-WAN performance metrics. Which agent deployment method is most suitable for this scenario?
Answer: D
Explanation:
In the context of Designing and Implementing Enterprise Network Assurance (300-445 ENNA), understanding the visibility gap in SD-WAN environments is essential. While SD-WAN controllers provide native visibility into the overlay network (the logical IPsec tunnels and fabric health), they often lack granular insight into the physical transport or underlay network provided by ISPs or MPLS circuits.
According to the ENNA architecture guidelines, the most suitable method for measuring true SD- WAN performance is to install an agent on the underlay network (Option D). By deploying ThousandEyes Enterprise Agents directly on the transport-facing interfaces (Transport VPN0 in Cisco SD-WAN terminology), engineers can perform hop-by-hop path visualization and measure metrics like packet loss, latency, and jitter across the actual provider path. This is critical because performance degradation in the overlay is almost always a symptom of an issue in the underlay, such as BGP routing instabilities or physical link congestion at an ISP peering point.
NEW QUESTION # 99
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