A company wants to run a Python script that pulls Mist inventory data every night and posts a summary to a Slack channel. The script is currently run manually. Which approach should be used to automate this workflow?

Use the mistapi library's built-in scheduler to run the script nightly.

Use a Mist webhook to trigger the script whenever inventory data changes, and have the script post to Slack.

Schedule the script with a cron job on a Linux server, and have the script use the mistapi library to fetch data and a webhook to post to Slack.

Use a Mist API token with a long expiration and run the script in a loop with a sleep of 24 hours.

A Python script uses the requests library to call the Mist API and occasionally receives HTTP 429 (Too Many Requests) responses. The script must handle these responses gracefully without crashing. What should the script do?

Use the mistapi library, which automatically handles 429 responses by default.

Check the response status code; if it is 429, wait for the duration specified in the Retry-After header and then retry the request.

Catch the HTTPError exception and immediately retry the request without any delay.

Increase the timeout parameter on the request to allow the API more time to respond.

Which of the following tasks is best suited for a Python automation script using the Mist API?

Rebooting a Mist access point by physically pressing its reset button

Designing a new wireless network layout in a CAD tool

Periodically retrieving and analyzing Mist client insights for troubleshooting

Manually copying configuration from one site to another

How can a Python Mist automation script be integrated into a CI/CD pipeline?

By replacing the CI/CD pipeline with the script

By running the script as a build step to validate or deploy Mist configuration changes

By having the script manually triggered by a developer each time

By using the script to compile the CI/CD pipeline code

Juniper NetworksCertified Professional, Mist AI (JNCIP-MistAI)

Domain 2Objective 1

Python Libraries and Tools JN0-750 Practice Questions (Page 3)

Part of the Juniper Mist Automation Strategies domain, which makes up ~19% of our current practice bank. Juniper Networks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–11 in this domain), expect 1–2 from this objective — we provide 26 practice questions to prepare you well beyond it. (estimate)

26questions here

6free pages

8concepts

Questions 11–15

11application · medium
A company wants to run a Python script that pulls Mist inventory data every night and posts a summary to a Slack channel. The script is currently run manually. Which approach should be used to automate this workflow?
Select an answer first
12application · medium
A Python script uses the requests library to call the Mist API and occasionally receives HTTP 429 (Too Many Requests) responses. The script must handle these responses gracefully without crashing. What should the script do?
Select an answer first
13foundation · easy
Which HTTP method is used to create a new resource via the Mist API?
Select an answer first
14foundation · easy
Which of the following tasks is best suited for a Python automation script using the Mist API?
Select an answer first
15foundation · easy
How can a Python Mist automation script be integrated into a CI/CD pipeline?
Select an answer first

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