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Free PDF UiPath - Latest UiPath-SAIAv1 - UiPath Specialized AI Associate Exam (2023.10) Exams Collection
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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q220-Q225):
NEW QUESTION # 220
As a best practice, who should perform the data labeling?
- A. Subject Matter Experts.
- B. Business Analysts.
- C. Data Scientists.
- D. Automation RPA Developers.
Answer: A
Explanation:
As a best practice, Subject Matter Experts (SMEs) should perform the data labeling in UiPath Communications Mining or Document Understanding projects. SMEs have the in-depth knowledge of the specific content and context, which ensures that the data is labeled correctly andmeaningfully for training machine learning models. Their expertise is essential for accurate taxonomy and data preparation
NEW QUESTION # 221
What is the primary metric used to calculate the score for the All Labels performance factor in UiPath Communications Mining?
- A. Number of labels.
- B. Number of annotations.
- C. Mean Average Precision.
- D. Volume of data uploaded.
Answer: C
Explanation:
The Mean Average Precision (MAP) is the primary metric used in UiPath Communications Mining to assess the performance of classification models, specifically for the "All Labels" factor. MAP evaluates how well the model predicts labels by considering both the precision and recall of the predictions. This metric is commonly used in information retrieval systems to provide an overall measure of accuracy across all labels in the dataset.
(Source: UiPath Communications Mining documentation)
NEW QUESTION # 222
How does Al Center handle versioning of ML packages?
- A. Only ML packages retrained via pipelines change their minor version.
- B. Only ML packages uploaded by users change their minor version.
- C. Versioning is not supported for ML packages.
- D. Only ML packages retrained via pipelines change their major version.
Answer: A
Explanation:
In UiPath AI Center, versioning of ML packages is an integral part of managing the lifecycle of machine learning models. Each ML package has a major and minor version to track changes. When an ML package is initially uploaded, it is assigned a major version (e.g., 1.0). If a package is retrained via pipelines, it increments the minor version (e.g., from 1.0 to 1.1). This mechanism helps differentiate between user- uploaded packages and those that have been retrained. Only packages that undergo retraining through pipelines modify their minor version, not the major version. Thus, answer D is correct.
(Source: docs.uipath.com on ML Package Management).
NEW QUESTION # 223
What should a UiPath Communications Mining taxonomy contain when it is being imported?
- A. Entity descriptions.
- B. Label predictions.
- C. Label descriptions.
- D. Entity predictions.
Answer: C
Explanation:
According to the UiPath documentation, a UiPath Communications Mining taxonomy is a collection of all the labels applied to the verbatims in a dataset, structured in a hierarchical manner. Labels are the concepts and intents that you want to capture in the dataset to suit your specific objectives. When you import your taxonomy from a spreadsheet, you need to provide the label descriptions, which are the names of the labels and their level in the hierarchy. Label predictions and entity predictions are the outputs of the model training process, and they are not part of the taxonomy. Entity descriptions are the definitions of the entities that you want to extract from the verbatims, and they are not part of the taxonomy either.
References:
Communications Mining - Taxonomies
Communications Mining - Importing your taxonomy
Communications Mining - Building your taxonomy structure
NEW QUESTION # 224
What are the three types of classifier trainers available in packages UiPath.lntelligentOCR.Activities and UiPath.DocumentUnderstanding.ML.Activities?
- A. Image Based Classifier Trainer, Format Based Classifier Trainer, and Machine Learning Classifier Trainer.
- B. Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer.
- C. Intelligent Keyword Classifier Trainer, Language Based Classifier Trainer, and Image Based Classifier Trainer.
- D. Machine Learning Classifier Trainer, Language Based Classifier, and Keyword Based Classifier Trainer.
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 # 225
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