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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q94-Q99):
NEW QUESTION # 94
Which of the below is the correct definition of "recall" in UiPath Communications Mining?
Answer: C
Explanation:
Recall is a metric that measures the proportion of all possible true positives that the model was able to identify for a given concept1. A true positive is a case where the model correctly predicts the presence of a concept in the data. Recall is calculated as the ratio of true positives to the sum of true positives and false negatives, where a false negative is a case where the model fails to predict the presence of a concept in the data. Recall can be interpreted as the sensitivity or completeness of the model for a given concept2. For example, if there are 100 verbatims that should have been labelled as 'Request for information', and the model detects 80 of them, then the recall for this concept is 80% (80 / (80 + 20)). A high recall means that the model is good at finding all the relevant cases for a concept, while a low recall means that the model misses many of them.
References: 1: Recall 2: Precision and Recall
NEW QUESTION # 95
Which of the following best describes the primary purpose of the Quality of Service (QoS) functionality in UiPath Communications Mining?
Answer: A
Explanation:
The Quality of Service (QoS) feature in UiPath Communications Mining is designed to monitor and measure the quality of service within a communications channel. It helps businesses understand how well their communications are being managed by evaluating different performance metrics such as response times and the quality of interactions. QoS ensures that communications are aligned with service level agreements and business expectations.
(Source: UiPath Communications Mining documentation)
NEW QUESTION # 96
When training labels and general fields in UiPath Communications Mining, what is the recommended approach to training efficiency?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The recommended practice in Communications Mining is to train both labels and general fields simultaneously. This ensures the system learns the relationships and intent expressions effectively.
This approach helps improve the overall model accuracy by leveraging training signals from both classification and field extraction.
UiPath Documentation Reference: UiPath Communications Mining Documentation - Labeling Strategy
NEW QUESTION # 97
Can a custom-built extractor be used in the Data Extraction Scope activity?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
UiPath allows developers to buildcustom extractorsthat can be used within theData Extraction Scope activity by implementing a specific interface. This is done by referencing theUiPath.DocumentProcessing.
Contractsassembly in the custom extractor.
* This enables plugging custom ML models or logic into the Document Understanding workflow.
* Custom extractors must implement interfaces like IExtractor or IFormExtractor.
* UiPath Documentation Reference:Create a Custom Extractor - UiPath Docs
NEW QUESTION # 98
What are the three types of classifier trainers available in packages UiPath.lntelligentOCR.Activities and UiPath.DocumentUnderstanding.ML.Activities?
Answer: B
Explanation:
UiPath provides three types of classifier trainers to optimize document classification: Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer. These trainers are used to teach the system how to categorize documents based on keywords, intelligent learning patterns, or machine learning techniques for more complex classifications.(Source: UiPath Classifier Trainer documentation
NEW QUESTION # 99
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