TEST UIPATH-SAIAV1 VOUCHER: UNPARALLELED UIPATH SPECIALIZED AI ASSOCIATE EXAM (2023.10) - FREE PDF QUIZ 2025 UIPATH-SAIAV1

Test UiPath-SAIAv1 Voucher: Unparalleled UiPath Specialized AI Associate Exam (2023.10) - Free PDF Quiz 2025 UiPath-SAIAv1

Test UiPath-SAIAv1 Voucher: Unparalleled UiPath Specialized AI Associate Exam (2023.10) - Free PDF Quiz 2025 UiPath-SAIAv1

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UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q203-Q208):

NEW QUESTION # 203
How has UiPath improved the experience for handling failed queue transactions in the 2023.10 release?

  • A. Implementing a sophisticated automatic retry mechanism to handle failed transactions without manual intervention.
  • B. Recording and storing failed queue transactions for debugging purposes.
  • C. Introducing real-time error alerts to notify users immediately when a queue transaction fails.
  • D. Enhancing the logging capabilities to provide more detailed insights into each transaction.

Answer: B

Explanation:
In the UiPath 2023.10 release, a key improvement introduced was the ability to record and store failed queue transactions for debugging purposes. This feature helps users by capturing the failure details and making them accessible directly in Orchestrator. The recording of failed transactions is enabled at the process level, within the Video section of the Job recording settings. It is intended tofacilitate easier troubleshooting of failed automations by providing insights into the moments leading to the failure, which can be reviewed later for debugging


NEW QUESTION # 204
Why should using the Search feature be limited when training in UiPath Communications Mining?

  • A. It could increase model bias.
  • B. It could increase model coverage.
  • C. It could decrease model coverage.
  • D. It could decrease model bias.

Answer: A

Explanation:
In UiPath Communications Mining, over-reliance on the Search feature during the training process can lead to an increase in model bias. This happens because using search-based filtering to identify and label examples might not represent the full diversity of the data. The model could be trained on a skewed subset of the data, causing it to favor certain patterns or keywords, and thus biasing the model towards specific types of data rather than learning to generalize effectively across all data.
Limiting the use of search ensures that the training process considers a broader and more representative sample of the data, which reduces the risk of introducing bias into the model and helps it generalize better to new, unseen communications.
For more details, refer to:
UiPath Communications Mining Documentation: Model Training and Avoiding Bias


NEW QUESTION # 205
What does adding missed labels help improve in UiPath Communications Mining?

  • A. Increases the taxonomy coverage.
  • B. Increases data security.
  • C. Label bias warnings.
  • D. Label precision and recall.

Answer: D

Explanation:
Adding missed labels helps improve the label precision and recall in UiPath Communications Mining.
Precision is the percentage of correctly labeled verbatims out of all the verbatims that have the label applied, while recall is the percentage of correctly labeled verbatims out of all the verbatims that should have the label applied. By adding missed labels, you are increasing the recall of the label, as you are reducing the number of false negatives (verbatims that should have the label but do not). This also improves the precision of the label, as you are reducing the noise in the data and making the label more informative and consistent. Adding missed labels is one of the recommended actions that the platform suggests to improve the model rating and performance of the labels.
References: Communications Mining - Training using 'Check label' and 'Missed label', Communications Mining - Model Rating


NEW QUESTION # 206
What is the definition of Deep Learning?

  • A. A sub-field of artificial intelligence that enables systems to learn from data.Systems learn from previous experience and information to deduce and predict future information. To do this they use algorithms that learn to perform a specific task without being explicitly programmed.
  • B. An area of machine learning concerned with artificial neural networks.These are a series of algorithms that aim to recognize relationships in a set of data through a process that mimicsbiological neural networks.
  • C. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
  • D. A field of artificial intelligence that enables computers to gain high-level understanding from digital images or videos. If AI is the brain, then this is the eye that enables the computer to observe and understand. It works the same as the human eye.

Answer: B

Explanation:
Deep learning is a subset of machine learning that uses multiple layers of artificial neural networks to learn from data and perform complex tasks. The term "deep" refers to the number of layers in the network, which can range from a few to hundreds or even thousands. Each layer consists of a set of nodes that perform mathematical operations on the input data and pass the output to the next layer. The network learns by adjusting the weights of the connections between the nodes based on the feedback from the desired output.
Deep learning can handle various types of data, such as images, text, speech, or video, and can automatically extract features and patterns from them without human intervention. Deep learning is behind many applications of artificial intelligence, such as computer vision, natural language processing, speech recognition, and generative models123.
References: 1: What is Deep Learning? | IBM 2: What Is Deep Learning? Definition, Examples, and Careers | Coursera 3: Deep learning - Wikipedia


NEW QUESTION # 207
What is a mandatory requirement before using the One Click Classification functionality?

  • A. The Document Understanding project must be linked to AI Fabric.
  • B. The Document Understanding project must be linked to AI Center.
  • C. The Document Understanding project must be linked to Action Center.
  • D. The Document Understanding project must have at least five Document Types defined.

Answer: B

Explanation:
Reference: UiPath Document Understanding and AI Center


NEW QUESTION # 208
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