Google Professional Cloud Developer exam dumps

Google Professional Cloud Developer practice question 455 of 481

Professional Cloud Developer. Professional level, Google Cloud. Free question with the correct answer and a full explanation.

Google Professional Cloud Developer Question 455

Select 3Google Cloud Platform

You are building an API using Google Cloud Functions to retrieve a list of user records from a Firestore database. The database contains thousands of records, and you need to implement pagination to return results in chunks of 50 items per request. Which of the following approaches would meet this requirement?

  1. A

    Use Firestore's limit() method to fetch 50 records and use the last document's ID as a starting point for the next query.

  2. B

    Retrieve all records from Firestore and implement pagination on the client side by slicing the results.

  3. C

    Use Firestore's startAt() or startAfter() methods along with limit() to fetch 50 records per request.

  4. D

    Store the entire dataset in Google Cloud Storage as a JSON file and implement pagination on the client side.

  5. E

    Use Firestore's orderBy() method in combination with startAfter() and limit() for efficient pagination.

Show answer and explanation

Correct answers: A, C, E

Explanation

Efficient pagination in Firestore involves using query methods like limit() to fetch a fixed number of records and startAt() or startAfter() to define the starting point for subsequent queries. This approach minimizes resource usage and ensures scalability. Combining these methods with orderBy() is recommended for consistent results, especially when dealing with large datasets.

  • A. Correct.

    Correct. Using limit() fetches a fixed number of records, and using the last document's ID as a starting point for the next query ensures consistent pagination.

  • B. Incorrect.

    Incorrect. Fetching all records and slicing them on the client side is inefficient, especially for large datasets, as it increases memory usage and network overhead.

  • C. Correct.

    Correct. The startAt() or startAfter() methods allow you to define a starting point for the next query, and combining this with limit() enables proper pagination.

  • D. Incorrect.

    Incorrect. Storing the dataset in Google Cloud Storage and loading it on the client side is not a scalable or efficient approach for real-time querying.

  • E. Correct.

    Correct. Using orderBy() ensures the results are sorted, and combining it with startAfter() and limit() provides efficient and reliable pagination.

Timed practice exam

Take a Google Professional Cloud Developer practice test under exam conditions

60 questions in 120 minutes, drawn from this bank, with a score report and a per-question review when you finish.

Start timed exam