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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Analysis and Troubleshooting | 30% | - Troubleshoot common issues
|
| Topic 2: Data Collection Implementation | 25% | - Onboarding and discovery
|
| Topic 3: Insights and Alerts | 25% | - Generate and interpret insights
|
| Topic 4: Platforms and Architecture | 20% | - Supported platforms and protocols
|
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NEW QUESTION # 117
To monitor communication and measure network performance from branch offices in San Francisco and Texas to the data center in North Virginia, which combination of test type and target is the most appropriate?
Answer: D
Explanation:
According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA) architecture, monitoring site-to-site connectivity between managed locations requires vantage points at both ends of the connection. In this scenario, the organization needs to measure performance between branch offices (San Francisco and Texas) and a central data center (North Virginia).
The most appropriate combination is usingEnterprise Agentswith theAgent-to-agent test type(Option C).
Enterprise Agents are software probes deployed on infrastructure owned or controlled by the organization, such as switches or routers in the branch offices and servers in the data center. Unlike Agent-to-server tests, which only provide one-way metrics and approximate path data, anAgent-to-agent testprovides bi-directional network metrics. This includes detailed throughput, packet loss, latency, and jitter measurements in both directions, which is critical for identifying asymmetric routing or link saturation that might affect application performance.
Alternative options are less suitable for this specific internal monitoring requirement:
* Cloud Agents (Options A and B):These are located in global ISP data centers and cannot be placed inside the organization's private data center or branch LAN to measure internal path characteristics.
* HTTP/DNS Server tests (Options B, D, and E):These target specific services but do not provide the granular, bi-directional network-layer performance data (like throughput or path visualization) that an Agent-to-agent test delivers.
* Agent-to-server (Option E):While useful for reaching a target that cannot host an agent, it loses the benefit of the destination agent's ability to measure the "return" path independently.
By deploying Enterprise Agents at each site and configuring Agent-to-agent tests, the engineer gains the highest level of visibility into the health of the private WAN or SD-WAN fabric connecting the branches to the data center.
NEW QUESTION # 118
A network administrator wants to establish a baseline for CPU utilization on their core routers. Which data source would be MOST appropriate for this purpose?
Answer: A
Explanation:
In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)framework, baselining is the process of establishing a "normal" performance profile for network infrastructure to enable the detection of anomalies. When the metric of interest is the internal health of a physical device, such asCPU utilizationon a core router,SNMP (Simple Network Management Protocol)is the industry-standard data source.
SNMP provides direct visibility into the device's control plane and hardware performance. By polling specific Object Identifiers (OIDs) from the router's Management Information Base (MIB), a monitoring system like Cisco Catalyst Centeror a third-party NMS can collect granular data on CPU cycles, memory allocation, and temperature. This "inside-out" telemetry is essential for baselining because it reflects the actual resource consumption of the router during various traffic loads.
Conversely, ThousandEyes tests (Options A, B, and D) provide "outside-in" synthetic data. WhileDNS resolution time(Option A),HTTP response times(Option B), andPath Visualization(Option D) are excellent for measuring end-to-end service delivery and network transit health, they do not report on the router's internal hardware state. For instance, a router could have 99% CPU utilization (indicating a potential crash), yet a ThousandEyes path test might still show a "green" path if the data plane (ASICs) is still forwarding packets efficiently. Therefore, to establish a reliable baseline for hardware-specific metrics like CPU,SNMP data(Option C) is the only appropriate source among the choices.
NEW QUESTION # 119
You have been tasked with creating a dashboard in your organization's Observability platform. This dashboard should have data that is streamed in real-time and used to populate data for tables, graphs, charts, and other formats. What kind of integration should you use?
Answer: D
Explanation:
Within theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)framework, the transition from "polling" to "streaming" is a major architectural shift. To populate real-time dashboards in external observability platforms likeGrafana,Splunk, orAppDynamics, the architect should utilize the OpenTelemetry (OTel)integration (Option B).
ThousandEyes for OpenTelemetry is a push-based API built on the standardizedOpenTelemetry Protocol (OTLP). Unlike traditional REST API polling (Option A), which retrieves data at fixed intervals and can be subject to rate limiting and latency, the OTel integration allows ThousandEyes to stream granular network metrics as they are collected. These metrics-including latency, loss, jitter, and HTTP response times-are exported in a standardized format that is natively understood by modern observability backends. This allows the platform to populate complex visualizations such as time-series graphs, heatmaps, and multi-metric tables in near real-time, providing a "single pane of glass" view that correlates network performance with application and infrastructure telemetry.
A key advantage of the OTel approach isdata portabilityandcorrelation. By applying metadata tags to ThousandEyes tests, the data can be filtered and categorized within the external dashboard to match the organization's business logic (e.g., grouping by region or application tier). This enables SREs and NetOps teams to quickly identify if a performance dip in an application dashboard correlates with a spike in internet latency measured by ThousandEyes. Options C and D do not provide the streaming data pipeline required for real-time external dashboard population. Thus,OpenTelemetryis the definitive choice for high-fidelity, real- time observability integration.
NEW QUESTION # 120
Which authentication method is commonly used in synthetic web tests for secure access to web applications?
Answer: C
Explanation:
Basic authentication is commonly used in synthetic web tests for secure access to web applications, providing a simple yet effective authentication mechanism in network assurance.
NEW QUESTION # 121
An
engineer receives a user report of slowness of an internal website at http://test-ipv6.com. Drag and drop the HTTP Server test phases from the left onto the steps on the right to troubleshoot the issue from the Cisco ThousandEyes test view. Not all options are used.
Answer:
Explanation:
NEW QUESTION # 122
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