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Question 1
When is it recommended to use Main-ActionCenter in the context of the Document Understanding Process?
- A: When implementing an attended process.
- B: When testing locally or implementing an attended process.
- C: When testing locally.
- D: When testing locally or implementing an unattended process.
Question 2
DRAG DROP -
What is the correct execution order of the Document Understanding template stages?
Instructions: Drag the stages found on the "Left" and drop them on the "Right” in the correct order.
Question 3
What type of error does the red exclamation mark in Validation Station or Action Center throw?
- A: DocumentRejectedByUserException.
- B: RejectedException.
- C: DocumentException.
- D: DocumentRejectedByReviewerException.
Question 4
How is the Thread Duration calculated in UiPath Communications Mining's thread analytics?
- A: It is calculated by taking the difference between the timestamps of the first message and the last message sent by the same participant within a thread.
- B: It is calculated by counting the total number of messages in a thread and multiplying it by a fixed amount of time.
- C: It is calculated by taking the time between the first and the last message that was sent in the thread.
- D: It is calculated by taking the difference between the timestamps of the first message and the second message sent in the thread.
Question 5
What is the relationship between AI Center and UiPath Document Understanding?
- A: AI Center is the infrastructure on top of which UiPath Document Understanding digitization runs.
- B: AI Center is the infrastructure on top of which UiPath Document Understanding machine learning models run.
- C: Document Understanding is the infrastructure on which AI Center machine learning models run.
- D: Document Understanding is the infrastructure on which AI Center digitization runs.
Question 6
Which validation checks are performed for ML packages uploaded with the Enable Training option inactive?
- A: Existence of a non-empty root folder, requirements.txt file, and main.py file in the root folder which implements a class Main. The class is further validated to implement an __init__ and a predict function.
- B: Existence of a requirements.txt file, and main.py file which implements a class Main. The class is further validated to implement an __init__ and a predict function.
- C: Existence of a non-empty root folder, main.py file in the root folder which implements a class Main. The class is further validated to implement an __init__ and a predict function.
- D: Existence of a non-empty root folder, requirements.txt file, and train.py file in the root folder which implements a class Main. The class is further validated to implement an __init__ function.
Question 7
What does the feature in the red highlighted box indicate?
- A: A label annotation.
- B: A label's confidence level.
- C: A label prediction.
- D: A label suggestion.
Question 8
Which of the following are unstructured documents?
- A: Invoices, receipts, purchase orders, and medical bills.
- B: Banking forms, tax forms, surveys, and identity cards.
- C: Contracts, emails, banking forms, and tax forms.
- D: Contracts, agreements, and emails.
Question 9
When creating a training dataset, what is the recommended number of samples for a Column field?
- A: 10-20 document samples per column field.
- B: 20-50 document samples per column field.
- C: 50-200 document samples per column field.
- D: 100-200 document samples per column field.
Question 10
What additional property does the ML Extractor have compared to the other types of extractors?
- A: Endpoint.
- B: ML Skill.
- C: Timeout.
- D: ApiKey.
Question 11
When a production environment with the Document Understanding Process is using queues, how is the export done?
- A: Create queue items for each element in the ExtractionResults object and save the RawValues there for them to be used by the Performer.
- B: Serialize the data, save it to a desired storage location, and send the path to the queue for the Performer.
- C: Export the data to Excel and save the path to the queue item for the Performer.
- D: Serialize the data and add it to a queue item for the Performer.
Question 12
When creating a training dataset, what is the recommended number of samples for the Classification fields?
- A: 5-10 document samples from each class.
- B: 10-20 document samples from each class.
- C: 20-50 document samples from each class.
- D: 50-200 document samples from each class.
Question 13
What is a possible outcome specific to the Low confidence training mode in the "Explore" phase while working with UiPath Communications Mining?
- A: The dataset will be enriched with additional data sources, so the entity extraction process may suffer significant changes.
- B: Due to the fact that most of the verbatims don't have any predictions, the training process may reveal the need to add new labels that are not yet covered in the taxonomy.
- C: Due to the fact that most labels have a high recall percentage, the training process may reveal the need for a "human in the loop" scenario.
- D: The pinned model may suffer from performance degradation, so the training process may require additional effort on a regular basis.
Question 14
What is one of the purposes of the Config file in the UiPath Document Understanding Template?
- A: It contains the configuration settings for the UiPath Robot and Orchestrator integration.
- B: It stores the API keys and authentication credentials for accessing external services.
- C: It specifies the output file path and format for the processed documents.
- D: It defines the input document types and formats supported by the template.
Question 15
What is Computer Vision?
- A: The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
- B: A sub-field of artificial intelligence that enables systems to learn from data. Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.
- C: An area of machine learning concerned with artificial neural networks. These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimics biological neural networks.
- D: A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.
Question 16
What are the requirements that must be fulfilled by a package containing only the serving component?
- A: A folder containing the main.py file which implements the__init_ (self), train(self, training_directory), and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
- B: A folder containing the main.py file which implements the__init_ (self) and predict(self, input) functions.
- C: A folder containing the main.py file which implements the__init_ (self), evaluate(self, evaluation_directory), and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
- D: A folder containing the main.py file which implements the__init_ (self) and predict(self, input) functions, and the requirements.txt file which lists the dependencies needed to run the model.
Question 17
Which of the following file types are supported for the DocumentPath property in the Classify Document Scope activity?
- A: .bmp, .pdf, .jpe, .psd
- B: .png, .gif, .jpe, .tiff
- C: .pdf, .jpeg, .raw, tif
- D: .jpe, .eps, .jpg, .tiff
Question 18
When does UiPath Communications Mining charge AI units?
- A: When comments are uploaded or updated on the platform.
- B: When model training occurs.
- C: When using the automation framework to consume predictions from a stream.
- D: When pinning a new model version.
Question 19
Which of the following scores is used to determine a UiPath Communications Mining model's Balance?
- A: F1 Score.
- B: Similarity Score.
- C: Mean Average Precision (MAP) Score.
- D: Mean Precision at Recall Score.
Question 20
Which of these statements is true about precision and recall statistics for specific labels in UiPath Communications Mining precision?
- A: The label precision and recall statistics are determined by the model's rating.
- B: The label precision and recall statistics are determined by the confidence threshold.
- C: The label precision and recall statistics are determined by the mean average precision (MAP).
- D: The label precision and recall statistics are determined by the model's coverage.
Question 21
What events are recorded when a pipeline starts or fails?
- A: Pipeline Events.
- B: ML Package Validation Events.
- C: ML Skill Deployment Events.
- D: Dataset Events.
Question 22
When processing a document type that comes in a high variety of layouts, what is the recommended data extraction methodology?
- A: Model-based data extraction.
- B: Hybrid data extraction.
- C: Manual data extraction.
- D: Rule-based data extraction.
Question 23
In UiPath Communications Mining, how does the Quality of Service score range for each message?
- A: −5 to 5.
- B: −10 to 10.
- C: 0 to 10.
- D: 1 to 10.
Question 24
In UiPath Communications Mining, when creating a model that is intended to enable automation, what is the minimum F1 score recommended for entities?
- A: 60%
- B: 70%
- C: 80%
- D: 90% and above
Question 25
What categories of events are available in the ML Logs page?
- A: ML PackageValidation Events, Dataset Events, Pipeline Events, ML Skill Deployment Events, and ML Skill Prediction Events.
- B: ML PackageValidation Events, Dataset Events, Pipeline Events, ML Skill Prediction Events, and ML Skill Train Events.
- C: ML PackageValidation Events, Dataset Events, ML Skill Train Events, ML Skill Deployment Events, and ML Skill Prediction Events.
- D: ML PackageValidation Events, Dataset Events, ML Skill Train Events, Pipeline Validation Events, and ML Skill Deployment Events.
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