Free UiPath UiPath-SAIAv1 Practice Test & Real Exam Questions, Page 1

Question #1

What can be done in the Reports section of the dataset navigation bar in UiPath Communication Mining?

A. Access detailed, quervable charts, statistics, and customizable dashboards.

B. Train models using unsupervised learning.

C. View, save, and modify dataset model versions.

D. Monitor model performance and receive recommendations.

Discussion 0

Correct Answer: A Vote an answer

Explanation: Only visible for Pass4Leader members. You can sign-up / login (it's free).

Question #2

What is the purpose of the One Click Classification feature in the UiPath Document Understanding interface?

A. It enables you to directly edit and alter the underlying code of the ML models used for classification, giving the users unprecedented control over the machine learning process in Document Understanding.

B. It enables users to manually create Datasets, Pipelines, and ML Skills in Document Understanding itself.

C. It allows users to bypass the need for manually creating Datasets, Pipelines, and ML Skills in AI Center and enables training document classifiers directly within Document Understanding.

D. It is a pre-trained Machine Learning model that helps you classify documents by providing a prompt.

Discussion 0

Correct Answer: C Vote an answer

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Question #3

In UiPath Communications Mining, which phase is the starting point of the model training process, where similar intents and conversation themes are grouped?

A. Refine

B. Explore

C. Discover

D. Setup

Discussion 0

Correct Answer: C Vote an answer

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Question #4

How do you use the Generative Classifier within UiPath Document Understanding Cloud APIs to classify a document as either an "Invoice" or a "Receipt"?

A. By sending a POST request to yapi/framework/projectsy{projectld}/ctassifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.

B. By sending a POST request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/dassification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and a description for their fields.

C. By sending a GET request to /api/framework/projects/{projectld}/classifiers/generative_classifier
/classification with a body containing prompts that specify the 'Invoice' and 'Receipt' names and descriptions.

D. By sending a PUT request to /api/framework/proiects/{projectld}/classifiers/generative_classifier
/classification without any specific classification details in the body of the request.

Discussion 0

Correct Answer: A Vote an answer

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Question #5

Which of the following scenarios is a good candidate for using Document Understanding Cloud APIs with synchronous calls?

A. You need real-time interaction and you are only processing documents with maximum five pages.

B. You have a large dataset that needs long-term processing.

C. You need to process documents larger than five pages.

D. You need to handle multiple operations simultaneously, allowing for concurrent processing and avoiding idle time.

Discussion 0

Correct Answer: A Vote an answer

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Question #6

What is supervised learning?

A. Supervised learning is a machine learning paradigm that refers to algorithms that learn patterns from unlabeled data.There are only input variables, but no corresponding output variables. The goal of the algorithm is to model the underlying structure of the data, but there are no correct answers and noteachers.

B. Supervised learning is a machine learning paradigm with the goal of learning a function that maps input variables with output variables.In every case there is a correct answer, so the aim is to train the model until it reaches an acceptable level of performance in predicting the outcome, at which point the learning stops.

C. Supervised learning is a machine learning paradigm in which algorithms try to solve a problem only by trial and error and using a system of rewards and punishments.There is no need for labeled input/output pairs to be presented. Instead, the focus is on finding a balance between exploration (of uncharted territory) and exploitation (of current knowledge).

D. Supervised learning is a machine learning paradigm in which algorithms try to solve a problem in an uncertain, potentially complex environment only by trial and error and using a system ofrewards and punishments.There are no correct answers, but feedback is given in the form of rewards and penalties.

Discussion 0

Correct Answer: B Vote an answer

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Question #7

Which of the following is a type of communication that is typically interpreted by UiPath Communications Mining?

A. Shared email inboxes

B. Scanned letters

C. Call data in real-time

D. Real-time chat data

Discussion 0

Correct Answer: A Vote an answer

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Question #8

In the general fields training, what actions does the Communications Mining Train feature guide you through?

A. It guides you right from the moment you create a dataset with the next best action to take to advance your general fields training.

B. It guides you to focus solely on model refinement.

C. It guides you to start entity training without a dataset.

D. It guides you through the completion of model training before starling entity training.

Discussion 0

Correct Answer: A Vote an answer

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Question #9

What is the correct order of uploading a package exported from UiPath AI Center?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

Discussion 0

Correct Answer:

Explanation:
A screenshot of a computer AI-generated content may be incorrect.

Export the package from AI Center. This is the first step where you prepare the package to be moved.
On the ML Packages page, click the Import ML Package button. This step is where you start the process of importing the package you've exported.
On the Upload package field, add the zip file downloaded using the Downloading ML Packages procedure.
After starting the import process, you will upload the actual package.
Click Create. This is the final step where you finalize the uploading process of your ML package.
Please proceed with these steps in the UiPath AI Center to upload your exported package correctly.

Question #10

What are the available options for Scoring in Document Manager, that apply to string fields only?

A. Exact match and Native string search.

B. Exact match and Auto.

C. Exact match and Levenshtein.

D. Exact match and First span.

Discussion 0

Correct Answer: C Vote an answer

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Question #11

What happens to your document and the process of pre-labeling when you choose the "Predict" option from the "Predict" dropdown in Document Manager?

A. It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.

B. It merges the results of the Generative Predict functionality and the results of the prelabeling endpoint (if configured). If the latter is not configured, it uses solely Generative Predict for all fields.

C. It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.

D. It predicts all fields using the Generative Predict capability only, ignoring any pre-labeling endpoint that may be configured. If Generative Predict is not available, it will not predict any fields.

Discussion 0

Correct Answer: B Vote an answer

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Question #12

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

A. 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.

B. 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.

C. 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.

D. 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.

Discussion 0

Correct Answer: D Vote an answer

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