Python Libraries and Tools JN0-750 Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A Python script uses the requests library to call the Mist API. The script occasionally receives a 500 Internal Server Error response. The engineer wants to handle this gracefully. What should the script do?

   • ATreat the 500 error as a permanent failure and stop the script.
   • BRetry the request after a short delay, as 500 errors are often transient.
   • CImmediately retry the request without any delay.
   • DIgnore the error and continue with the next operation.
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2. 22application · medium

   A network engineer is writing a Python script that uses the requests library to interact with the Mist API. The engineer wants to avoid hardcoding the API token in the script and also wants to ensure the token is not exposed in logs. What should the engineer do?

   • AHardcode the API token in the script and use a logging filter to redact it.
   • BUse the mistapi library, which automatically hides the token from logs.
   • CInclude the API token in the URL as a query parameter.
   • DRead the API token from an environment variable and set the Authorization header using the token.
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4. 23expert · hard

   A company uses a CI/CD pipeline to deploy network configuration changes. They want to run a Python script that validates Mist configuration changes in a staging environment before applying them to production. The script must fail the pipeline if validation fails. What is the best way to integrate the script into the pipeline?

   • AHave the script exit with a non-zero exit code when validation fails, and configure the pipeline to treat non-zero exit codes as failures.
   • BHave the script send an email to the network team and let the pipeline continue.
   • CHave the script print an error message and continue with the next step in the pipeline.
   • DHave the script write the validation results to a log file and rely on manual review.
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5. 24foundation · easy

   Which Python library is specifically designed to simplify interactions with the Juniper Mist API by providing high-level methods for authentication and resource operations?

   • Amistapi
   • Burllib
   • Crequests
   • Djson
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6. 25expert · hard

   A Python script that automates Mist configuration changes is hitting the API rate limit. The script currently retries failed requests immediately. The engineer needs to reduce the number of 429 responses while minimizing the total time to complete the batch of changes. Which strategy should the engineer implement?

   • AImplement exponential backoff with a maximum delay, and also respect the Retry-After header when present.
   • BIncrease the number of concurrent requests to complete the batch faster.
   • CRetry immediately but with a different API token to avoid the rate limit.
   • DUse a fixed delay of 1 second between all requests, regardless of the Retry-After header.
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