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| Section | Objectives |
|---|---|
| Data Collection Implementation | - Configure data collection for network devices
|
| Platforms and Architecture | - Describe network assurance architecture
|
| Data Analysis | - Interpret network performance data
|
| Insights and Alerts | - Generate and interpret insights
|
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NEW QUESTION # 80
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 latency to ensure accurate performance measurement and analysis in network assurance.
NEW QUESTION # 81
Drag and Drop Question
An engineer must set up maximum rate throughput testing between two Cisco ThousandEyes agents. Drag and drop the ThousandEyes test options from the bottom onto the boxes in the configuration screen, which allows for maximum rate throughput testing. Some options may be used more than once. Not all options are used.
Answer:
Explanation:
Explanation:
Throughput testing in ThousandEyes requires two Enterprise Agents, because Cloud Agents cannot participate in throughput tests. Enabling maximum-rate throughput also requires a TCP- based active measurement and specifying the traffic flow as Source to Target, which defines the sender-receiver direction for the throughput test.
NEW QUESTION # 82
Which RFC standardizes the concept of passive monitoring in network assurance?
Answer: B
Explanation:
RFC 7799 standardizes passive monitoring methodologies, providing guidelines for data collection without affecting network traffic.
NEW QUESTION # 83
An architect needs to measure end-user experience for internal web applications and SaaS products. Which ThousandEyes agent should be deployed for this purpose?
Answer: C
Explanation:
In the context of Designing and Implementing Enterprise Network Assurance (300-445 ENNA), measuring the "lived experience" of an end-user requires data collection from the actual device being used to access the services. Unlike server-side or infrastructure-side monitoring, user experience (UX) monitoring must account for local variables like Wi-Fi signal quality, CPU/memory usage, and browser-level performance.
The Endpoint Agent (Option D) is the correct choice for this architecture. It is a lightweight software service installed directly on Windows or macOS workstations, as well as RoomOS devices. The Endpoint Agent provides a dual-monitoring approach: Real User Monitoring (RUM) and Scheduled Synthetic Tests. RUM captures actual browser sessions to SaaS (e.g., Salesforce, Microsoft 365) or internal apps, providing a "Experience Score" and a detailed waterfall view of page load components. Simultaneously, the agent can run background synthetic network tests to measure latency and path visualization from the user's specific location, whether they are in a branch office, at home on a VPN, or in a coffee shop.
NEW QUESTION # 84
Thousand23Eyes WAN Insights integrates with Cisco SD-WAN to provide visibility into network performance and generate path recommendations. Which two data sources from the SD-WAN environment are e25ssential for WAN Insights to function? (Choose two)
Answer: C,E
Explanation:
The architecture forDesigning and Implementing Enterprise Network Assurance (300-445 ENNA) specifies that ThousandEyes WAN Insights relies on deep integration with the Cisco SD-WAN management stack. To generate its predictive path recommendations, the platform must ingest specific telemetry data that reflects both the network's behavior and the applications traversing it.
The first essential data source ishistorical network performance metrics collected by vAnalytics(Option B). Before WAN Insights can be activated, vAnalytics must be enabled to collect and enrich raw network telemetry from the edge routers.34This data includes granular metrics for every SD-WAN tunnel, such as packet loss, latency, and jitter.35WAN Insights analyzes these historical trends to forecast future path quality and determine which transport circuits are most likely to meet application SLAs over a long-term period.
The second essential data source isapplication traffic flow data(Option D). WAN Insights must understand which applications are currently active in the fabric to prioritize recommendations for "business-critical" services like Office 365, Webex, or custom internal apps.38This information is ingested as flow records from the SD-WAN data plane and categorized based on theApplication Listsdefined inCisco Catalyst SD-WAN Manager (vManage).
Options A and E are configuration or logging data that, while useful for general management, are not the raw telemetry inputs used by the WAN Insights predictive engine. Option C is incorrect because WAN Insights explicitly uses infrastructure telemetry rather than ThousandEyes agent-based synthetic data for its SD-WAN fabric calculations. By combiningvAnalytics performance metricsandapplication flow data, WAN Insights can provide the "Predictive Path Recommendatio41ns" that are a hallmark of modern network assurance.
NEW QUESTION # 85
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