Website Interaction GPYC Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A Python script scrapes a website and needs to extract all links from a page. The HTML contains <a> tags with href attributes. Which BeautifulSoup code correctly extracts the href values?

   • Alinks = [a.get('href') for a in soup.find_all('a')]
   • Blinks = [a['href'] for a in soup.find_all('a')]
   • Clinks = soup.find_all('a').href
   • Dlinks = [a['src'] for a in soup.find_all('a')]
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2. 2application · medium

   A Python script uses the requests library to download a file from a URL that may redirect to a different domain. The script must follow redirects but also detect if the final URL is not the expected domain and abort. Which approach is correct?

   • AUse the max_redirects parameter to limit the number of redirects and then check the status code.
   • BSet allow_redirects=False and manually handle the Location header in a loop.
   • CUse response.history to check all redirects and then use response.content to download the file.
   • DSet allow_redirects=True (default) and check response.url after the request to verify the final domain.
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4. 3application · medium

   A Python application needs to receive real-time updates from a server, such as live stock prices, and must maintain a persistent connection. Which approach is most appropriate?

   • APoll a REST endpoint every second using requests.get().
   • BSend a single HTTP request and keep the connection open using a long timeout.
   • CUse a POST request with a callback URL for the server to call.
   • DEstablish a WebSocket connection and handle incoming messages asynchronously.
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5. 4expert · hard

   A Python script integrates with a third-party API that uses OAuth 2.0 and enforces a rate limit of 100 requests per minute. The script needs to process a large batch of records, each requiring an API call. The team wants to maximize throughput while avoiding 429 errors. Which strategy is most effective?

   • ARequest a higher rate limit from the API provider before starting the batch.
   • BSend all requests as fast as possible and retry any 429 responses with exponential backoff.
   • CIncrease the number of concurrent threads to 50 to complete the batch faster.
   • DImplement a token bucket rate limiter that allows 100 requests per minute and queues excess requests.
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6. 5application · medium

   A Python script receives JSON data from an untrusted API and uses it to construct a database query. The script must prevent SQL injection. Which approach is most secure?

   • ASanitize the JSON data by removing single quotes before inserting into the query.
   • BUse an ORM that automatically escapes input.
   • CUse parameterized queries with placeholders in the database library.
   • DValidate the JSON data against a schema and then concatenate it into the query.
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