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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q159-Q164):

NEW QUESTION # 159
What does the following expression do?
subTotalAdditions.Select(Function(field) CDec(documentFields(field))).ToList.Sum() + subtotal

A. Sums up the subtotal to the total variable by converting it to CDec
B. Sums up all the line amounts converted to CDec and the subtotal
C. Sums up all the line amounts and converts the fields to CDec.
D. Sums up subtotal fields from the config file converted to CDec with the subtotal.

Answer: B

Explanation:
The expression does the following:
It uses the subTotalAdditions variable, which is a list of field names that represent the line amounts in the document.
It uses the Select method to apply a function to each element of the list. The function takes a field name as an argument and returns the value of the corresponding document field converted to a decimal number using the CDec function.
It uses the ToList method to convert the result of the Select method into a list of decimal numbers.
It uses the Sum method to calculate the sum of the elements in the list.
It adds the subtotal variable, which is another decimal number, to the sum.
The expression returns the total amount of the document, which is the sum of all the line amounts and the subtotal.
References:
VB.NET - Select Method
VB.NET - CDec Function
VB.NET - ToList Method
[VB.NET - Sum Method]

NEW QUESTION # 160
What do entity predictions refer to within UiPath Communications Mining?

A. The difference between label suggestions and label predictions in a training process.
B. The model's confidence that a specific concept exists within a communication.
C. The identification of a specific span of text as a value for a particular entity type.
D. The understanding of the parent-label relationship when assigning label predictions.

Answer: C

Explanation:
Entity predictions refer to the process of identifying and highlighting a specific span of text within a communication that represents a value for a predefined entity type. For example, an entity type could be
"Organization" and an entity value could be "UiPath". Entity predictions are made by the platform based on the training data and the rules defined for each entity type. Users can review, accept, reject, or modify the entity predictions using the Classification Station interface12.
References: Communications Mining - Reviewing and applying entities, Communications Mining - Predictions - UiPath Documentation Portal.

NEW QUESTION # 161
What are the characteristics of the AI Center platform?

A. Permits the creation of ML models, their improvement and their consumption within RPA workflows in Studio.
B. Enables the creation of ML packages and allows their consumption within RPA workflows.
C. Allows the deployment, management and improvement of ML models and their consumption within RPA workflows in Studio.
D. Allows human intervention for validating the classification results or the extraction results from different documents.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
AI Center is designed to:
Deploy, manage, and monitor ML models
Create ML Skills that are used directly in Studio workflows
Integrate with Document Understanding for intelligent data extraction
Manage training and retraining pipelines
It is not primarily used for labeling or human validation (that's handled in DU components like the Validation Station).
UiPath Documentation Reference:
AI Center Overview

NEW QUESTION # 162
What does the Label Trends table in UiPath Communications Mining show?

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

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 # 163
While creating a process automation pipeline, what process attribute should be avoided to ensure there are minimal or no automation maintenance requirements?

A. The process requires exception handling
B. The process is prone to human error
C. High process run time
D. Frequent business logic change

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Processes that undergofrequent business logic changesrequire frequent updates to automation scripts, resulting inhigh maintenance effortand potential breakdowns in unattended execution.
* Stable, rules-based processes are preferred for long-term, low-maintenance automation.
* UiPath Academy Reference:RPA Developer Foundation - "Process Assessment and Selection" Module

NEW QUESTION # 164
......

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q159-Q164):

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