Practice Free UiPath-SAIv1 Exam Online Questions
Question #11
Which are the minimum required inputs in order to configure the Classification Station as an attended activity?
- A . Taxonomy, Document Object Model, Automatic Extraction Results, Document Directory.
- B . Taxonomy, Document Path, Document Object Model, Document Text, Automatic Classification Results.
- C . Taxonomy, Document Path, Document Directory, Document Text, Automatic Extraction Results.
- D . Taxonomy, Document Path, Document Object Model, Document Text.
Correct Answer: D
D
Explanation:
To configure the Classification Station as an attended activity in UiPath, certain inputs are mandatory for proper functionality.
These include:
Taxonomy: The schema that defines the structure of document types and fields.
Document Path: The file path of the document to be classified.
Document Object Model (DOM): Generated from the document using the Digitize Document activity, this is a structured representation of the document.
Document Text: The extracted text of the document, also an output from the Digitize Document activity.
These inputs allow the Classification Station to review and validate the classification results, either manually or based on automatic suggestions from previous processes.
D
Explanation:
To configure the Classification Station as an attended activity in UiPath, certain inputs are mandatory for proper functionality.
These include:
Taxonomy: The schema that defines the structure of document types and fields.
Document Path: The file path of the document to be classified.
Document Object Model (DOM): Generated from the document using the Digitize Document activity, this is a structured representation of the document.
Document Text: The extracted text of the document, also an output from the Digitize Document activity.
These inputs allow the Classification Station to review and validate the classification results, either manually or based on automatic suggestions from previous processes.
Question #12
Which of these statements is true about precision and recall statistics for specific labels in UiPath Communications Mining precision?
- A . The label precision and recall statistics are determined by the mean average precision (MAP).
- B . The label precision and recall statistics are determined by the model’s rating.
- C . The label precision and recall statistics are determined by the model’s coverage.
- D . The label precision and recall statistics are determined by the confidence threshold.
Correct Answer: D
D
Explanation:
In UiPath Communications Mining, the precision and recall statistics for specific labels are primarily determined by the confidence threshold set for the model. This threshold represents the level of certainty the model needs before it assigns a label to a message. By adjusting this threshold, you can trade off between precision (fewer false positives) and recall (fewer false negatives). For instance, a higher threshold will increase precision but may reduce recall, and vice versa
D
Explanation:
In UiPath Communications Mining, the precision and recall statistics for specific labels are primarily determined by the confidence threshold set for the model. This threshold represents the level of certainty the model needs before it assigns a label to a message. By adjusting this threshold, you can trade off between precision (fewer false positives) and recall (fewer false negatives). For instance, a higher threshold will increase precision but may reduce recall, and vice versa
Question #13
What is the relationship between AI Center and UiPath Document Understanding?
- A . AI Center is the infrastructure on top of which UiPath Document Understanding digitization runs.
- B . Document Understanding is the infrastructure on which AI Center digitization runs.
- C . AI Center is the infrastructure on top of which UiPath Document Understanding machine learning models run.
- D . Document Understanding is the infrastructure on which AI Center machine learning models run.
Correct Answer: C
C
Explanation:
AI Center provides the infrastructure and platform for running custom machine learning models that can be used in UiPath Document Understanding workflows. These models enhance data extraction and classification accuracy, making AI Center a critical component of advanced Document Understanding solutions.
Reference: UiPath AI Center and Document Understanding
C
Explanation:
AI Center provides the infrastructure and platform for running custom machine learning models that can be used in UiPath Document Understanding workflows. These models enhance data extraction and classification accuracy, making AI Center a critical component of advanced Document Understanding solutions.
Reference: UiPath AI Center and Document Understanding
Question #14
What are the three types of classifier trainers available in packages UiPath.lntelligentOCR.Activities and UiPath.DocumentUnderstanding.ML.Activities?
- A . Intelligent Keyword Classifier Trainer, Language Based Classifier Trainer, and Image Based Classifier Trainer.
- B . Image Based Classifier Trainer, Format Based Classifier Trainer, and Machine Learning Classifier Trainer.
- C . Machine Learning Classifier Trainer, Language Based Classifier, and Keyword Based Classifier Trainer.
- D . Keyword Based Classifier Trainer, Intelligent Keyword Classifier Trainer, and Machine Learning Classifier Trainer.
Correct Answer: D
D
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
D
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
Question #15
What is the default visibility of an ML skill?
- A . An ML skill is by default public and can be made private.
- B . An ML skill is by default private and can be made public.
- C . An ML skill is by default public and can’t be made private.
- D . An ML skill is by default private and can’t be made public.
Correct Answer: B
B
Explanation:
An ML skill is a consumer-ready, live deployment of an ML or OS package that can be used in RPA workflows. By default, an ML skill is private, which means it can only be accessed by the users who have the permission to view and manage the project that contains the skill. However, an ML skill can be made public by enabling the Public Skill option in the ML Skill Details page. This will generate a public URL and an API key for the skill, which can be used to access the skill from any external system or application12.
References: 1: AI Center – About ML Skills 2: Make ML Skills and Datasets public via URL + API Key – Preview
B
Explanation:
An ML skill is a consumer-ready, live deployment of an ML or OS package that can be used in RPA workflows. By default, an ML skill is private, which means it can only be accessed by the users who have the permission to view and manage the project that contains the skill. However, an ML skill can be made public by enabling the Public Skill option in the ML Skill Details page. This will generate a public URL and an API key for the skill, which can be used to access the skill from any external system or application12.
References: 1: AI Center – About ML Skills 2: Make ML Skills and Datasets public via URL + API Key – Preview
Question #16
How do partially labeled messages impact label predictions in UiPath Communications Mining?
- A . They negatively affect model performance.
- B . They improve label precision.
- C . They reduce label bias.
- D . They enhance label recall.
Correct Answer: A
A
Explanation:
Partially labeled messages in UiPath Communications Mining can negatively impact model performance because incomplete or inconsistent labeling creates ambiguity for the model during training. This leads to the model receiving conflicting signals, which hampers its ability to generalize well across the dataset, resulting in reduced precision and recall in predictions. Proper and complete labeling is critical to ensure the model learns accurately from the data
A
Explanation:
Partially labeled messages in UiPath Communications Mining can negatively impact model performance because incomplete or inconsistent labeling creates ambiguity for the model during training. This leads to the model receiving conflicting signals, which hampers its ability to generalize well across the dataset, resulting in reduced precision and recall in predictions. Proper and complete labeling is critical to ensure the model learns accurately from the data
Question #17
Under what condition can a dataset be edited in UiPath AI Center?
- A . If it is not being used in any active pipeline.
- B . If it has not been modified within the last 24 hours.
- C . There are no restrictions in editing a dataset.
- D . If it is not linked to any data labeling session.
Correct Answer: A
A
Explanation:
According to the UiPath documentation, a dataset is a folder of storage containing arbitrary sub-folders and files that allows machine learning models in your project to access new data points. You can edit a dataset’s name, description, or content from the Datasets > [Dataset Name] page, by clicking Edit dataset. However, you can only edit a dataset if it is not currently being used in an active pipeline. A pipeline is a sequence of steps that defines how to train, test, and deploy a machine learning model. If a dataset is being used in an active pipeline, you will see a lock icon next to it, indicating that it cannot be edited. You can either wait for the pipeline to finish or stop it before editing the dataset.
References:
AI Center – Managing Datasets
AI Center – About Datasets
AI Center – About Pipelines
A
Explanation:
According to the UiPath documentation, a dataset is a folder of storage containing arbitrary sub-folders and files that allows machine learning models in your project to access new data points. You can edit a dataset’s name, description, or content from the Datasets > [Dataset Name] page, by clicking Edit dataset. However, you can only edit a dataset if it is not currently being used in an active pipeline. A pipeline is a sequence of steps that defines how to train, test, and deploy a machine learning model. If a dataset is being used in an active pipeline, you will see a lock icon next to it, indicating that it cannot be edited. You can either wait for the pipeline to finish or stop it before editing the dataset.
References:
AI Center – Managing Datasets
AI Center – About Datasets
AI Center – About Pipelines
Question #18
What is the function of the Immediate Panel in UiPath Studio during the debugging process?
- A . Inspecting data at a certain point during debugging by evaluating variables, arguments, or statements.
- B . Modifying the values of variables and arguments at runtime during the debugging process.
- C . Displaying the next activity to be executed and its parent containers when the project is paused in debugging.
- D . Displaying the performance analysis of all the operations, showing the execution time of each activity.
Correct Answer: A
A
Explanation:
The Immediate Panel is used during debugging to evaluate variables, arguments, or expressions at runtime. It helps developers inspect data at specific points in the workflow to identify and resolve issues.
Reference: UiPath Debugging Tools
A
Explanation:
The Immediate Panel is used during debugging to evaluate variables, arguments, or expressions at runtime. It helps developers inspect data at specific points in the workflow to identify and resolve issues.
Reference: UiPath Debugging Tools
Question #19
Which of the following options is accepted as a Column field name in Document Manager?
- A . first_n@me
- B . first name
- C . f1rst-name
- D . First_name123
Correct Answer: D
D
Explanation:
According to the UiPath documentation, the field name for a column field in Document Manager does not accept uppercase letters. It can only contain lowercase letters, numbers, underscore _ and dash -12. Therefore, the only option that meets these criteria is D. First_name123. The other options are invalid because they either contain uppercase letters, spaces, or @ symbols, which are not allowed.
References: 1: Document Understanding – Create and Configure Fields 2: Document Understanding – Create & Configure Fields
D
Explanation:
According to the UiPath documentation, the field name for a column field in Document Manager does not accept uppercase letters. It can only contain lowercase letters, numbers, underscore _ and dash -12. Therefore, the only option that meets these criteria is D. First_name123. The other options are invalid because they either contain uppercase letters, spaces, or @ symbols, which are not allowed.
References: 1: Document Understanding – Create and Configure Fields 2: Document Understanding – Create & Configure Fields
Question #20
What happens to your document and the process of pre-labeling when you choose the "Predict" option from the "Predict" dropdown in Document Manager?
- A . It merges the results of the Generative Predict functionality and the results of the prelabeling endpoint (if configured). If the latter is not configured, it uses solely Generative Predict for all fields.
- B . It predicts fields using the Generative Prelabeling for OOTB document types and the pre-labeling endpoint for custom document types.
- C . It predicts fields using only the prelabeling endpoint model configured in the Prelabeling settings, and it does not use Generative Predict.
- D . It predicts all fields using the Generative Predict capability only, ignoring any pre-labeling endpoint that may be configured. If Generative Predict is not available, it will not predict any fields.
Correct Answer: A
A
Explanation:
When you select the "Predict" option, it combines the results of Generative Predict and the pre-labeling endpoint (if configured). If no pre-labeling endpoint is set up, it solely relies on the Generative Predict functionality for all fields. This ensures flexibility and maximizes prediction accuracy.
Reference: UiPath Document Manager – Predict Feature
A
Explanation:
When you select the "Predict" option, it combines the results of Generative Predict and the pre-labeling endpoint (if configured). If no pre-labeling endpoint is set up, it solely relies on the Generative Predict functionality for all fields. This ensures flexibility and maximizes prediction accuracy.
Reference: UiPath Document Manager – Predict Feature