Describe Steps to Build a Custom Dashboard to Present Data Collected from Cisco APIs 350-901 Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A dashboard backend uses a scheduled job to fetch data from Cisco DNA Center every hour and store it in a database. The developer wants to ensure that the dashboard continues to work even if the DNA Center API is temporarily unavailable. Which approach should the developer implement?

   • AIncrease the frequency of the scheduled job to reduce the impact of failures.
   • BLet the scheduled job fail and rely on the next run to populate the data.
   • CImplement retry logic with exponential backoff and store the last successful data in a cache.
   • DSwitch to a different Cisco API that is more reliable.
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2. 17application · medium

   A team is building a dashboard that aggregates data from multiple Cisco APIs. The backend service is expected to handle occasional spikes in traffic from many users viewing the dashboard simultaneously. The team wants to minimize operational overhead and avoid managing servers. Which backend deployment option is most suitable?

   • AUse a container instance that runs continuously and requires manual scaling.
   • BHost the backend on a single physical server in the office data center.
   • CUse a serverless function that runs on demand and scales automatically with the number of requests.
   • DDeploy the backend on a virtual machine with a fixed size and manually scale it up during peak times.
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4. 18application · medium

   A network operations team wants to build a custom dashboard that shows real-time interface utilization from multiple Cisco Catalyst switches. The switches are managed by DNA Center, and the team wants the dashboard to refresh every 30 seconds. The team plans to use a Python backend to fetch data from the DNA Center REST API and serve it to a web frontend. Which architecture component should be responsible for handling the periodic data retrieval and caching the results?

   • AA backend service that polls the DNA Center API on a timer, normalizes the data, and stores it in an in-memory cache that the frontend queries.
   • BA scheduled cron job that runs once a day to export the data to a CSV file that the frontend reads.
   • CThe frontend JavaScript code makes direct REST API calls to DNA Center every 30 seconds and renders the results.
   • DA database that directly connects to DNA Center using a JDBC driver and stores the data for the frontend to query.
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5. 19foundation · easy

   Which JavaScript library is specifically designed for creating interactive charts and graphs in web dashboards?

   • AD3.js
   • BBootstrap
   • CReact
   • DNode.js
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6. 20expert · hard

   A company wants to build a custom dashboard that combines data from Cisco Meraki and Cisco Webex. The dashboard must be accessible to external partners, but the company wants to avoid exposing the backend APIs directly. The frontend will be a single-page application. Which architecture best meets these requirements?

   • AA backend that exposes separate endpoints for each API and requires external partners to authenticate to each API individually.
   • BA static website that embeds the data in the HTML and updates it manually.
   • CA backend-for-frontend (BFF) service that aggregates data from both APIs and exposes a single REST endpoint to the frontend, with authentication for external users.
   • DA frontend that directly calls the Meraki and Webex APIs from the browser, using API keys stored in the frontend code.
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