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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Designing and Implementing Enterprise Network Assurance (ENAUTO) |
| Exam Number: | 300-445 |
| Passing Score: | Cisco does not publish an official passing score; typically a scaled score around 750/1000 is required |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 90 minutes |
| Exam Price: | USD 300 (may vary by region) |
| Available Languages: | Simplified Chinese, English, Japanese |
| Related Certifications: | CCNP Enterprise Cisco Certified Specialist - Enterprise Network Assurance |
| Exam Format: | Simulation-based questions, Multiple choice, Multiple response, Drag and drop |
| Real Exam Qty: | Approximately 55โ65 questions |
| Recommended Training: | Cisco DNA Center and Assurance Learning Resources Cisco Enterprise Network Assurance Training |
| Exam Registration: | Pearson VUE Cisco Exams Cisco Certification Exam Registration |
| Sample Questions: | Cisco 300-445 Sample Questions |
| Exam Way: | Online proctored or testing center (Pearson VUE) |
| Pre Condition: | No formal prerequisite, but Cisco recommends CCNA-level knowledge and experience with enterprise networking and monitoring tools |
| Official Syllabus URL: | https://www.cisco.com/c/en/us/training-events/training-certifications/exams.html |
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NEW QUESTION # 59
You want to monitor Microsoft Teams using ThousandEyes endpoint agents. Which tests are available for this type of application monitoring?
Answer: C
NEW QUESTION # 60
Refer to the exhibit.
Which integration type should be configured between ThousandEyes and Grafana?
Answer: A
Explanation:
In the Designing and Implementing Enterprise Network Assurance (300-445 ENNA) curriculum, the evolution of network monitoring includes moving from periodic polling to real-time data streaming. The exhibit displays a curl command targeting the ThousandEyes API v7 /stream endpoint. When integrating ThousandEyes with high-performance observability platforms like Grafana , the standardized and recommended method for machine-to-machine data exchange is through OpenTelemetry (OTel) .
According to the ENNA architecture guidelines, the ThousandEyes Streaming API allows users to push granular test metrics (such as network latency, packet loss, and jitter) to external collectors in an OTel- compatible format. In the provided JSON payload, the " type " field is a mandatory parameter that defines the integration protocol. For Grafana, which natively supports OpenTelemetry Protocol (OTLP) via its OpenTelemetry Collector, the value must be set to " opentelemetry " (Option A). This tells the ThousandEyes streaming engine to encapsulate the data according to the OTel semantic conventions, ensuring that Grafana can correctly interpret and visualize the metrics without additional custom parsing logic.
While other options exist in the ThousandEyes ecosystem, they do not fit the specific API call shown for this use case:
* Custom Webhooks (Option B) are typically used for event-driven alerts and notifications (e.g., sending a POST request when a threshold is breached) rather than continuous high-fidelity metric streaming.
* Push-api and poll-api (Options C and D) are not valid " type " values within the context of the v7
/stream endpoint, as the streaming service specifically utilizes the OpenTelemetry framework for real- time delivery.
By selecting opentelemetry , the network engineer enables a robust " push-based " integration that provides real-time visibility into application performance and network health, leveraging Grafana ' s advanced dashboarding capabilities to analyze ThousandEyes telemetry data alongside other enterprise infrastructure metrics.
Introduction to ThousandEyes for OpenTelemetry
This video provides a foundational understanding of how ThousandEyes uses modern streaming frameworks to export critical performance data to external observability platforms.
NEW QUESTION # 61
You want to monitor Microsoft Teams using ThousandEyes endpoint agents. Which tests are available for this type of application monitoring?
Answer: C
Explanation:
According to theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)best practices for collaboration monitoring,Microsoft Teams(as well as Webex and Zoom) is monitored using a combination ofScheduled and Dynamic tests(Option D).
* Scheduled Tests:These are used to proactively monitor the reachability and performance of the Microsoft Teams infrastructure. The Teams template typically includes scheduled HTTP Server tests to teams.microsoft.com and login.microsoftonline.com, along with network-layer tests to theTeams Transport Relay(e.g., worldaz.tr.teams.microsoft.com). These provide a continuous baseline of connectivity regardless of whether a user is currently in a call.
* Dynamic Tests:These are a unique feature for collaboration monitoring. When an Endpoint Agent detects that the Teams application has initiated a real-time media session (audio or video call), it automatically triggers aDynamic Testto the specific IP and port being used for that call. This allows IT teams to see the exact network path-including hop-by-hop latency and loss-of the actual call traffic while the session is active.
Real User Tests (Option C)are generally not used for Teams monitoring in the same way they are for web- based SaaS apps. Because most users utilize the Teamsdesktop clientrather than the browser, the RUM browser extension cannot capture the rich telemetry of the desktop application's internal signaling and media streams. Therefore, the specialized "Automated Session Testing" provided byDynamic Tests, combined with the proactive health checks ofScheduled Tests, constitutes the complete assurance strategy for Microsoft Teams.
NEW QUESTION # 62
Refer to the exhibit.
An engineer must use Cisco ThousandEyes testing to monitor their Cisco Catalyst SD-WAN fabric. Which SD-WAN component is being monitored by ThousandEyes?
Answer: A
Explanation:
In theDesigning and Implementing Enterprise Network Assurance (300-445 ENNA)curriculum, understanding the visibility gap between the SD-WAN overlay and the transport underlay is a core competency. The provided exhibit illustrates a ThousandEyes Enterprise Agent deployed on aBranch Edge Routerperforming tests across two distinct paths:Internet(reaching a destination at 64.100.249.90) andMPLS (reaching a destination at 172.29.0.2).
According to the ENNA architecture guidelines, ThousandEyes is primarily utilized to provide hop-by-hop visibility into theunderlaynetwork. While SD-WAN controllers like vManage provide native monitoring for the overlay-the logical IPsec tunnels (Option B) that form the SD-WAN fabric-they often lack granular visibility into the physical service provider paths (the underlay) that carry those tunnels. The exhibit specifically highlights the agent probing the transport networks (Transport VPN0) directly, bypassing the overlay tunnels to measure the raw performance of the ISP and MPLS circuits.
By monitoring theunderlay(Option A), the engineer can identify if high latency or packet loss is caused by a specific hop within the service provider's infrastructure or at a peering point. This "underlay visibility" is critical for troubleshooting SD-WAN performance issues where the overlay may report a tunnel down, but the root cause lies in a BGP routing change or physical fiber cut in the provider network. ThousandEyes Enterprise Agents, natively integrated into Catalyst 8000 and ISR 4000 platforms, allow for this persistent underlay monitoring without additional hardware.
* Overlay (Option C):While ThousandEyes can monitor overlay performance, the exhibit's focus on the raw IP addresses (Internet and MPLS) in the transport VPN indicates an underlay test.
* IPsec/GRE Tunnels (Options B & D):These represent the transport mechanisms of the overlay.
ThousandEyes probes the pathunderthese tunnels to ensure the transport health is sufficient to support the fabric.
NEW QUESTION # 63
What type of alert rule configuration is used to monitor CPU utilization on end-user devices?
Answer: B
Explanation:
Threshold-based alerts are used to monitor CPU utilization on end-user devices by triggering alert notifications when CPU usage exceeds predefined threshold values, indicating potential performance issues.
NEW QUESTION # 64
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