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NEW QUESTION # 44
What does the Train stage of the Document Understanding Framework do?
Answer: A
Explanation:
In the UiPath Document Understanding Framework, the Train stage enables models to learn from human- validated data. This process involves feeding the corrections made by humans during the validation phase back into the model, allowing it to refine its predictions and improve accuracy over time.
UiPath Documentation
The training component is crucial for classifiers and extractors capable of learning from human feedback. By incorporating validated data, these components can adjust their algorithms to better handle similar documents in the future, enhancing the overall efficiency and effectiveness of the automation process.
Other options are incorrect because:
* B. Allows the extractor to improve its prediction over time by using better OCR engines: While better OCR engines can enhance data extraction, this is not the function of the Train stage.
* C. Allows a human to validate and correct the extracted data: This describes the Validation stage, not the Train stage.
* D. Improves the extractor accuracy by learning from the classification result: Training focuses on learning from human-validated extraction results, not just classification outcomes.
Therefore, the primary purpose of the Train stage is to allow the model to learn from human-validated data, thereby improving its future performance.
NEW QUESTION # 45
What is the recommended number of documents per vendor to train the initial dataset?
Answer: C
Explanation:
According to the UiPath documentation, the recommended number of documents per vendor to train the initial dataset is 10. This means that for each vendor that provides a specific type of document, such as invoices or receipts, you should have at least 10 samples of their documents in your training dataset. This helps to ensure that the dataset is balanced and representative of the real-world data, and that the machine learning model can learn from the variations and features of each vendor's documents. Having too few documents per vendor can lead to poor model performance and accuracy, while having too many documents from a single vendor can cause overfitting and bias1.
References: 1: Document Understanding - Training High Performing Models
NEW QUESTION # 46
What is the recommended split of documents for training and evaluation, considering a total of 15 documents per vendor?
Answer: D
NEW QUESTION # 47
What actions can be performed on a pipeline which is in the running state?
Answer: A
Explanation:
When a pipeline is in the running state in UiPath AI Center, the only action that can be performed is to Kill it.
This terminates the process immediately, stopping any further processing. Actions like removing or restarting the pipeline can only be performed after the pipeline has stopped.(Source: UiPath Pipeline documentation
NEW QUESTION # 48
How do you load a taxonomy from a given non-default location text file into a variable?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.
Answer:
Explanation:
Explanation:
to load a taxonomy from a given non-default location text file into a variable, the order of steps should be as follows:
* Create a new variable of type 'DocumentTaxonomy' called 'documentTaxonomy', then create a new string variable called 'taxonomyPath'.
* This step involves setting up the necessary variables that will be used in the process. The
'documentTaxonomy' variable will hold the deserialized taxonomy object, and 'taxonomyPath' will store the path to the taxonomy file.
* Using an Assign activity, assign the given non-default taxonomy text file path to the most recent variable created.
* Here you will assign the path of the taxonomy file to the 'taxonomyPath' variable.
* Use the Read Text File activity on the 'taxonomyPath' variable created. Next, create a new variable 'taxonomyText', then save the output of the Read Text File activity to 'taxonomyText'.
* This step is where you read the contents of the taxonomy file using the 'Read Text File' activity.
The contents are stored in the 'taxonomyText' variable.
* Inside the last Assign activity 'Value to Save' property add the following expression: "Newtonsoft.
Json.JsonConvert.DeserializeObject(Of DocumentTaxonomy)(taxonomyText)" where ' taxonomyText' is the text read from the file and 'documentTaxonomy' (the most recent variable created) is the variable you created.
* In this final step, you will deserialize the JSON content from the 'taxonomyText' into a
'DocumentTaxonomy' object using the 'JsonConvert.DeserializeObject' method and assign it to the 'documentTaxonomy' variable.
Following these steps in this order will load the taxonomy from a text file into the 'documentTaxonomy' variable in UiPath.
NEW QUESTION # 49
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