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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q96-Q101):

NEW QUESTION # 96
What role do Triggers play in the UiPath Integration Service?

A. Assist in the creation of automation projects by providing event-based activities.
B. Manage connections between UiPath Studio and third-party applications.
C. Provide a mechanism for subscribing to specific events from third-party applications, automatically starting processes in Orchestrator.
D. Provide a mechanism for starting processes on a scheduled basis from Orchestrator.

Answer: C

Explanation:
Reference: UiPath Integration Service Triggers

NEW QUESTION # 97
What does the Label Trends table in UiPath Communications Mining show?

A. How the top 10 labels for a given time period perform compared to the previous period and their change in rank.
B. How the top 10 labels and entities for a given time period perform compared to the previous period and their change in rank.
C. How the top 10 senders for a given time period perform compared to the previous period and their change in rank.
D. How the top 10 entities for a given time period perform compared to the previous period and their change in rank.

Answer: A

Explanation:
The Label Trends table in UiPath Communications Mining shows the trend of the top 10 highest volume labels over the selected time period, as well as their percentage change and rank change compared to the previous period1. The table allows users to quickly identify which labels are increasing or decreasing in volume, and by how much, over time. The table also shows the net sentiment score for each label, which is calculated as the difference between the positive and negative sentiment probabilities for each verbatim2. The table can be filtered by data type, source, date range, and label category. Users can also sort the table by label name, volume, percentage change, rank change, or net sentiment1.
References: 1: Trends 2: Sentiment Analysis

NEW QUESTION # 98
How many types of synchronization mechanisms exist in the Document Understanding Process to prevent multiple robots to write in a file at the same time?2

A. 0
B. 1
C. 2
D. 3

Answer: C

Explanation:
The Document Understanding Process uses two types of synchronization mechanisms to prevent multiple robots from writing in a file at the same time: file locks and queues. File locks are used to ensure that only one robot can access a file at a time, while queues are used to store the information extracted from the documents and to avoid data loss or duplication. The process uses the following activities to implement these mechanisms:
File Lock Scope: This activity creates a lock on a file or folder and executes a set of activities within it. The lock is released when the scope ends or when an exception occurs. This activity ensures that only one robot can read or write a file or folder at a time, and prevents other robots from accessing it until the lock is released.
Add Queue Item: This activity adds an item to a queue in Orchestrator, along with some relevant information, such as a reference, a priority, or a deadline. The item can be a JSON object, a string, or any serializable .NET type. This activity ensures that the information extracted from the documents is stored in a queue and can be retrieved by another robot or process later.
Get Queue Items: This activity retrieves a collection of items from a queue in Orchestrator, based on some filters, such as status, reference, or creation time. The items can be processed by the robot or passed to another activity, such as Update Queue Item or Delete Queue Item. This activity ensures that the information stored in the queue can be accessed and manipulated by the robot or process.
References: Document Understanding Process: Studio Template, File Lock Scope, Add Queue Item, [Get Queue Items]

NEW QUESTION # 99
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.

Answer:

Explanation:

Explanation:
The correct execution order of the Document Understanding template stages is:
Taxonomy
Digitize
Classify
Extract
Extraction Validation
Export
Comprehensive and Detailed Explanation: The Document Understanding template stages are based on a document processing flowchart that follows these steps:
First, you need to define the Taxonomy of the document types and fields that you want to process and extract information from. This is done using the Taxonomy Manager in UiPath Studio1.
Next, you need to Digitize the input documents, which can be in various formats such as PDF, image, or text. This is done using the Digitize Document activity, which converts the documents into a machine- readable format and performs OCR if needed2.
Then, you need to Classify the digitized documents into the predefined document types in your taxonomy. This is done using the Classify Document Scope activity, which can use various classifiers such as Keyword Based Classifier, Machine Learning Classifier, or Intelligent Form Extractor3.
After that, you need to Extract the relevant information from the classified documents based on the fields in your taxonomy. This is done using the Data Extraction Scope activity, which can use various extractors such as Regex Based Extractor, Machine Learning Extractor, or Form Extractor.
Next, you need to perform Extraction Validation to review and correct the extracted information, either manually or automatically. This is done using the Present Validation Station activity, which can use either the Validation Station or the Action Center for human-in-the-loop validation.
Finally, you need to Export the validated information to the desired output location, such as a file, a database, or a queue. This is done using the Export Extraction Results activity, which can use various exporters such as Excel Exporter, CSV Exporter, or Queue Item Exporter.
References:
UiPath Studio - Taxonomy Manager
UiPath Activities - Digitize Document
UiPath Activities - Classify Document Scope

NEW QUESTION # 100
What is OCR (Optical Character Recognition)?

A. OCR is a document classification method.
B. OCR is a method that reads text from images, recognizing each character and its position.
C. OCR is a tool used to interpret information extracted from documents.
D. OCR is a platform that enables you to do text-to-speech and speech-to-text.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Optical Character Recognition (OCR)is a method used to convert different types of documents (PDFs, scanned paper documents, images) intoeditable and searchable databy recognizing characters and their positions.
* OCR is vital in Document Understanding todigitize unstructured data from images and scanned docs
.
* UiPath Documentation Reference:OCR Engines in Document Understanding

NEW QUESTION # 101
......

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