UiPath Certified Professional - General Track Certification UiPath-SAIv1 Passing Score

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.

After the data is extracted using the UiPath Document Understanding framework, it is crucial to handle the data securely and efficiently for further use in other processes or storage. Serialization is often used to convert the extracted data into a format suitable for storage or transmission. By serializing the data, it can be stored in storage buckets (such as cloud storage or a database) and accessed later as needed for subsequent processing. This approach ensures that data is preserved, secure, and available for other workflows or automations.

(Source: UiPath Document Understanding Documentation).

To organize the steps in the correct order for migrating a dataset from the Document Manager to a Modern Project, I'll analyze the instructions and then match the steps accordingly. Here’s the logical order based on the descriptions:

Step 1: Navigate to and open the project into which you want to import data. Select an already existing custom document type or create a new one.

Step 2: Select "Upload" and choose the ZIP file exported from the classic project. Wait for the upload to finish.

Step 3: Go to the document type you want to export and select "Open document type."

Step 4: From the "Filter documents" drop-down list, select "Training and validation set." Select "Export."

Step 5: Leave "Current search results" selected and fill in a name for your export job. Select "Download."

This should reflect the correct sequential process of migrating a dataset from Document Manager to a Modern Project.