A developer is building a dashboard that displays device inventory from Cisco Meraki. The Meraki API returns a list of devices, but the response is paginated with a maximum of 100 items per page. The developer needs to retrieve all devices and display them in a single table. Which approach should the developer use in the backend service?

Loop through the pages by following the 'next' link or incrementing the page parameter until no more pages remain, accumulating the results.

Use the Meraki API's WebSocket feed to stream all devices in real time.

Increase the per-page parameter to 1000 in the request to avoid pagination altogether.

Make a single API request and assume the response contains all devices because the network has fewer than 100 devices.

In a typical custom dashboard architecture, which component is responsible for fetching data from Cisco APIs and delivering it to the frontend?

The database layer, which stores all data retrieved from Cisco APIs

The data source layer, which is the Cisco API endpoint itself

The frontend presentation layer, which directly queries the Cisco APIs

The backend service layer, which acts as an intermediary between the frontend and the data sources

A developer is building a dashboard frontend that needs to display a large dataset of network events (over 100,000 points) in a scatter plot. The backend sends the data as a JSON array. The developer wants to ensure smooth performance and interactivity. Which approach should the developer take?

Use a canvas-based charting library that can handle large datasets efficiently.

Load the data into a table and let the user scroll through it.

Render all 100,000 points as SVG elements in the browser.

Reduce the dataset to 1,000 points by sampling randomly.

A developer is writing a Python backend to fetch data from Cisco DNA Center's REST API. The API requires a token that expires after 60 minutes. The developer wants to avoid re-authenticating for every request. What is the best practice for managing the token in the backend?

Hardcode the token in the code and update it manually when it expires.

Store the token in a global variable and reuse it until it expires, then refresh it.

Use the token only once and then discard it to maintain security.

Request a new token for each API call to ensure it is always valid.

What is the primary goal of data normalization when preparing raw API data for visualization?

To encrypt the data so it is secure during transmission

To convert data into a consistent format that can be easily used by visualization tools

To compress the data to reduce storage requirements

To delete any data that is not needed for the dashboard

CiscoCertified DevNet Professional

Domain 3Objective 8

Describe Steps to Build a Custom Dashboard to Present Data Collected from Cisco APIs 350-901 Practice Questions (Page 3)

Part of the 3.0 Cisco Platforms domain, which accounts for 20% of the 350-901 exam. Cisco does not publish an official question count, but from its 120-minute exam (~50–80 total, ~10–16 in this domain), expect 1–2 from this objective — we provide 29 practice questions to prepare you well beyond it. (estimate)

29questions here

6free pages

6concepts

20%of the exam

Questions 11–15

11application · medium
A developer is building a dashboard that displays device inventory from Cisco Meraki. The Meraki API returns a list of devices, but the response is paginated with a maximum of 100 items per page. The developer needs to retrieve all devices and display them in a single table. Which approach should the developer use in the backend service?
Select an answer first
12foundation · easy
In a typical custom dashboard architecture, which component is responsible for fetching data from Cisco APIs and delivering it to the frontend?
Select an answer first
13expert · hard
A developer is building a dashboard frontend that needs to display a large dataset of network events (over 100,000 points) in a scatter plot. The backend sends the data as a JSON array. The developer wants to ensure smooth performance and interactivity. Which approach should the developer take?
Select an answer first
14application · medium
A developer is writing a Python backend to fetch data from Cisco DNA Center's REST API. The API requires a token that expires after 60 minutes. The developer wants to avoid re-authenticating for every request. What is the best practice for managing the token in the backend?
Select an answer first
15foundation · easy
What is the primary goal of data normalization when preparing raw API data for visualization?
Select an answer first

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