Question 1

What are the languages supported by the generic Document Understanding ML Package?

Options :

A : Languages using the Greek left-to-right alphabet, Japanese, and Chinese.

B : Languages using the Cyrillic alphabet, the Greek left-to-right alphabet, and Chinese.

C : Languages using the Latin alphabet (like Italian, French, Portuguese. Spanish, and Romanian), and the Greek left-to-right alphabet.

D : Languages using the Latin alphabet, the Cyrillic alphabet, the Greek left-to-right alphabet, Japanese, and Chinese.

Answer: D

Question 2

For which version(s) from Out-of-the-Box ML Packages minor versions is the download functionality available?

Options :

A : Version 0 only

B : Version 0 and above

C : Version 1 only

D : Version 1 and above

Answer: D

Question 3

Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?

Options :

A :

The popularity of the ML Extractor among other UiPath users should be the primary factor when choosing a UiPath ML Extractor. Opt for the ML Extractor that has the highest number of downloads or positive reviews.

B :

Consider the document types, language, and data quality when choosing an ML Extractor. It is important to select one that is specifically trained or optimized for the document types being processed. It is also important to take into account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.

C :

The cost of the ML Extractor should be the main consideration when choosing an ML Extractor. Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.

D :

The size of the ML Extractor is the most important factor to consider when choosing an ML Extractor. Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.

Answer: B

Question 4

Which UiPath Communications Mining model performance factor relates to the proportion of messages in the dataset that have informative label predictions?

Options :

A : Coverage

B : Balance

C : Average label performance.

D : Underperforming labels.

Answer: A

Question 5

What is the recommended split of documents for training and evaluation, considering a total of 15 documents

per vendor?

Options :

A : 7 documents for training the model, and 8 for evaluating the model.

B : 8 documents for training the model, and 7 for evaluating the model.

C : 10 documents for training the model, and 5 for evaluating the model.

D : 12 documents for training the model, and 3 for evaluating the model.

Answer: C

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