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UiPath UiPath-SAIAv1 Realistic Exam Guide Materials Free PDF Quiz

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q142-Q147):

NEW QUESTION # 142
What is the recommended split of documents for training and evaluation, considering a total of 15 documents per vendor?

A. 8 documents for training the model, and 7 for evaluating the model.
B. 7 documents for training the model, and 8 for evaluating the model.
C. 12 documents for training the model, and 3 for evaluating the model.
D. 10 documents for training the model, and 5 for evaluating the model.

Answer: D

Explanation:
When you create a training dataset for document classification or data extraction, you need to split your documents into two subsets: one for training the model and one for evaluating the model. Thetraining subset is used to teach the model how to recognize the patterns and features of your document types and fields. The evaluation subset is used to measure the performance and accuracy of the model on unseen data. The evaluation subset should not be used for training, as this would bias the model and overfit it to the data1.
The recommended split of documents for training and evaluation depends on the size and diversity of your data. However, a general guideline is to use a 70/30 or 80/20 ratio, where 70% or 80% of the documents are used for training and 30% or 20% are used for evaluation. This ensures that the model has enough data to learn from and enough data to test on. For example, if you have 15 documents per vendor, you can use 10 documents for training and 5 documents for evaluation. This would give you a 67/33 split, which is close to the 70/30 ratio. You can also use the Data Manager tool to create and manage your training and evaluation datasets2.
References: 1: Document Understanding - Training High Performing Models 2: Data Manager - Creating a Dataset

NEW QUESTION # 143
In the general fields training, what actions does the Communications Mining Train feature guide you through?

A. It guides you through the completion of model training before starling entity training.
B. It guides you to start entity training without a dataset.
C. It guides you to focus solely on model refinement.
D. It guides you right from the moment you create a dataset with the next best action to take to advance your general fields training.

Answer: D

Explanation:
his is confirmed in the UiPath documentation, where the "Train" feature guides users from the dataset creation stage through the necessary steps to optimize the training process. The system recommends next best actions based on progress to ensure efficient and focused training

NEW QUESTION # 144
A developer needs to create a process for the Human Resources team. During the development, they try to run the workflow containing the following dictionary variable:

What is the possible cause of the error?

A. The assign's set value syntax should be PinMapping<"John Doe">.
B. The Dictionary was not initialized.
C. The assign's set value syntax should be PinMapping["John Doe"].
D. The "John Doe" key was not present in the dictionary.

Answer: B

Explanation:
The most likely cause of the error is that the dictionary was not initialized. In UiPath, a dictionary must be initialized before assigning values to its keys. If you attempt to add a key-value pair to a dictionary that has not been initialized, you will encounter a runtime error.
The correct initialization can be done as follows:
PinMapping = New Dictionary(Of String, String)
Explanation of Other Options:
A: PinMapping["John Doe"]: This is the correct syntax for accessing or assigning a value to a dictionary key.
There is no issue with this syntax.
B: The "John Doe" key not present: While it is true that the key might not exist, this specific error would occur only during a Get operation, not an assignment.
D: PinMapping<"John Doe">: This is incorrect syntax for working with dictionaries in UiPath.
Reference:UiPath Variables and Data Types - Dictionaries

NEW QUESTION # 145
If Label X in UiPath Communications Mining has 80% precision at a given confidence threshold, what output should this provide?

A. For every 100 messages, 80 would be labelled correctly as 'Label X', and 20 would be labelled incorrectly.
B. For every 100 messages which should have been labelled as 'Label X', 80 were labelled and 20 were missed.
C. For every 100 messages which should have been labelled as 'Label X 20 were labelled and 80 were missed.
D. For every 100 messages, 20 would be labelled correctly as 'Label X', and 80 would be labelled incorrectly.

Answer: A

Explanation:
If Label X has 80% precision at a given confidence threshold, this means that out of every 100 messages predicted to have Label X, 80 are correctly labelled, and 20 are incorrectly assigned the label. Precision measures the correctness of predictions made, so in this case, 80% of the predictions were correct, while 20% were false positives

NEW QUESTION # 146
What action should be performed to have the Taxonomy Manager button appear on the Ribbon, in the Wizard section?

A. Install UiPath.Documentunderstanding.ML.Activities package.
B. Nothing to do, it should be already there.
C. Install UiPath.IntelligentOCR.Activities package.
D. Install a newer version of Studio.

Answer: C

Explanation:
To enable the Taxonomy Manager button in the Ribbon, the UiPath.IntelligentOCR.Activities package must be installed. This package includes all activities related to Document Understanding, including the Taxonomy Manager.
Reference: UiPath Taxonomy Manager Setup

NEW QUESTION # 147
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