Website Interaction GPYC Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A Python script must authenticate to a legacy API that uses HTTP Basic Auth. The credentials are stored in environment variables. Which requests call correctly uses these credentials?

   • Arequests.get(url, data={'username': os.environ['USER'], 'password': os.environ['PASS']})
   • Brequests.get(url, params={'username': os.environ['USER'], 'password': os.environ['PASS']})
   • Crequests.get(url, auth=(os.environ['USER'], os.environ['PASS']))
   • Drequests.get(url, headers={'Authorization': 'Basic ' + os.environ['USER'] + ':' + os.environ['PASS']})
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2. 22foundation · easy

   Which authentication mechanism sends credentials in the Authorization header as a Base64-encoded username:password string?

   • ADigest Authentication
   • BAPI Key Authentication
   • CBasic Authentication
   • DOAuth 2.0
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4. 23application · medium

   A Python script uses the requests library to call an API. The API sometimes returns a 429 Too Many Requests with a Retry-After header. The script currently fails immediately on 429. Which change should be made to handle this gracefully?

   • ARetry the request immediately up to three times without any delay.
   • BSwitch to HTTP/2 to avoid rate limits.
   • CIncrease the timeout value on the request to avoid the 429 error.
   • DCheck for a 429 status code, read the Retry-After header, and sleep for that many seconds before retrying.
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5. 24application · medium

   A Python scraper is being blocked by a website that returns 403 Forbidden. The site's robots.txt allows the path being scraped. Which change is most likely to resolve the block?

   • ADisable the Referer header.
   • BUse a different HTTP method, such as POST instead of GET.
   • CIncrease the timeout to 60 seconds.
   • DSet a realistic User-Agent header that identifies the scraper and includes contact information.
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6. 25application · medium

   A Python script needs to scrape a website that loads its content dynamically via JavaScript after the initial HTML is loaded. The script must extract data from the rendered DOM. Which tool is most appropriate?

   • AUse Selenium WebDriver to load the page, wait for the content to render, and then extract data using find_element methods.
   • BUse requests.get() and BeautifulSoup to parse the HTML.
   • CUse urllib.request.urlopen() and then use lxml to parse the HTML.
   • DUse requests.get() with a custom header to request the JSON data directly from the API endpoint.
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