Topic 1 Question 283
You work for a multinational organization that has recently begun operations in Spain. Teams within your organization will need to work with various Spanish documents, such as business, legal, and financial documents. You want to use machine learning to help your organization get accurate translations quickly and with the least effort. Your organization does not require domain-specific terms or jargon. What should you do?
Create a Vertex AI Workbench notebook instance. In the notebook, extract sentences from the documents, and train a custom AutoML text model.
Use Google Translate to translate 1,000 phrases from Spanish to English. Using these translated pairs, train a custom AutoML Translation model.
Use the Document Translation feature of the Cloud Translation API to translate the documents.
Create a Vertex AI Workbench notebook instance. In the notebook, convert the Spanish documents into plain text, and create a custom TensorFlow seq2seq translation model.
ユーザの投票
コメント(5)
- 正解だと思う選択肢: C
My Answer: C
This option provides a straightforward solution for translating various types of documents (business, legal, financial) quickly and with minimal effort. It leverages Google's Cloud Translation API, which is designed specifically for tasks like this and eliminates the need for manual training or customization.
👍 4guilhermebutzke2024/02/19 - 正解だと思う選択肢: C
The Document Translation feature of the Cloud Translation API is the quicker solution, and it will lead to the least effort as required in the statement. Since your organization does not require domain-specific terms or jargon, no custom solution is needed in this case, which confirms C as the best option.
👍 2carolctech2024/10/26 - 正解だと思う選択肢: C
Leverage Document Translation in Cloud Translation API
👍 1omermahgoub2024/04/13
シャッフルモード