3. Identify the Constraints When Consuming APIs 200-901 Practice Questions (Page 3)

Questions 11–15

1. 11expert · hard

   A script retrieves a large dataset from a paginated API. The API uses cursor-based pagination. The script currently loops until an empty page is returned. During a long retrieval, the API returns a 500 error on page 5. The script restarts from page 1 and re-fetches pages 1-4, which is inefficient. What is the best way to handle this?

   • AIncrease the page size to reduce the number of pages
   • BRestart from page 1 after every error
   • CFetch all pages in parallel to reduce time
   • DUse the cursor from the last successful page to resume retrieval
   Reveal Solution Discussion Select an answer first
2. 12application · medium

   An API client uses OAuth 2.0 client credentials to obtain an access token. The token expires every hour. The automation script runs continuously. What should the script do to avoid authentication failures?

   • AUse the same token indefinitely until it fails
   • BDisable token expiration in the API settings
   • CStore the token in a shared file for all scripts to use
   • DRefresh the token before it expires using the refresh token or re-authenticate
   Reveal Solution Discussion Select an answer first
4. 13expert · hard

   A global network monitoring system collects data from APIs hosted in different regions. The system uses a single central server in the US to poll APIs in Asia and Europe. Users report that some polls time out during peak hours. The API provider has a rate limit per IP address. What is the most effective way to reduce latency-related timeouts without increasing the risk of rate limiting?

   • ADeploy regional collectors that poll local APIs and forward aggregated data to the central server
   • BUse a CDN to cache API responses
   • CIncrease the timeout value on the central server
   • DPoll less frequently to reduce the number of requests
   Reveal Solution Discussion Select an answer first
5. 14expert · hard

   A network automation platform integrates with a Cisco SD-WAN vManage API. The API has a rate limit of 300 requests per minute and a daily quota of 50,000 requests. The platform runs a full sync every hour, requiring 1,000 requests per sync. During peak hours, the sync fails with 429 errors. The team cannot reduce the number of requests. What is the most effective strategy to complete the sync without violating the constraints?

   • ARun the sync during off-peak hours when the rate limit is not enforced
   • BUse multiple API tokens to multiply the effective rate limit
   • CRequest a higher rate limit from the API provider
   • DSpread the 1,000 requests across the entire hour to stay under the per-minute limit
   Reveal Solution Discussion Select an answer first
6. 15foundation · easy

   Which HTTP header is commonly used by APIs to inform a client of the remaining number of requests allowed in the current rate limit window?

   • AAccept
   • BAuthorization
   • CX-RateLimit-Remaining
   • DContent-Type
   Reveal Solution Discussion Select an answer first