Google Professional Machine Learning Engineer exam dumps

Google Professional Machine Learning Engineer practice question 36 of 522

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

Google Professional Machine Learning Engineer Question 36

Select 3Google Cloud Platform

Your company is building a document processing application to extract key information, such as invoice numbers and due dates, from thousands of scanned invoices. The team has decided to use a pre-trained model from Google Cloud's Model Garden to speed up development. Which steps should you take to integrate the pre-trained model into your application?

  1. A

    Browse Model Garden to find a suitable pre-trained model for document processing.

  2. B

    Export the pre-trained model from Model Garden and deploy it using Vertex AI.

  3. C

    Test the model on sample invoices to ensure it meets your accuracy requirements.

  4. D

    Train the pre-trained model from scratch using your invoice dataset.

  5. E

    Use the APIs provided by Model Garden to directly integrate the pre-trained model into your application.

Show answer and explanation

Correct answers: A, C, E

Explanation

Using pre-trained models from Google Cloud's Model Garden simplifies the development of machine learning applications by providing ready-to-use, high-quality models. The correct steps include identifying a suitable model, testing it on your data to ensure it meets requirements, and leveraging APIs to integrate it directly into your application. These steps reduce development time while ensuring the model performs effectively for your use case.

  • A. Correct.

    Correct. The first step is to explore Model Garden to identify a pre-trained model suitable for your document processing use case.

  • B. Incorrect.

    Incorrect. Pre-trained models in Model Garden do not need to be exported and deployed manually since they can be used directly via APIs or Vertex AI endpoints.

  • C. Correct.

    Correct. Testing the model on your specific data ensures it meets your performance and accuracy requirements before full integration.

  • D. Incorrect.

    Incorrect. Pre-trained models are already trained; retraining them from scratch defeats the purpose of using Model Garden and would require additional resources.

  • E. Correct.

    Correct. Model Garden provides APIs that allow you to directly integrate pre-trained models into your application without needing to manage the underlying infrastructure.

Timed practice exam

Take a Google Professional Machine Learning Engineer 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