UiPath UiPath-SAIv1 - PDF電子當

UiPath-SAIv1 pdf
  • 考試編碼:UiPath-SAIv1
  • 考試名稱:UiPath Certified Professional Specialized AI Professional v1.0
  • 更新時間:2025-12-15
  • 問題數量:213 題
  • PDF價格: $59.98
  • 電子當(PDF)試用

UiPath UiPath-SAIv1 超值套裝
(通常一起購買,贈送線上版本)

UiPath-SAIv1 Online Test Engine

在線測試引擎支持 Windows / Mac / Android / iOS 等, 因爲它是基於Web瀏覽器的軟件。

  • 考試編碼:UiPath-SAIv1
  • 考試名稱:UiPath Certified Professional Specialized AI Professional v1.0
  • 更新時間:2025-12-15
  • 問題數量:213 題
  • PDF電子當 + 軟件版 + 在線測試引擎(免費送)
  • 套餐價格: $119.96  $79.98
  • 節省 50%

UiPath UiPath-SAIv1 - 軟件版

UiPath-SAIv1 Testing Engine
  • 考試編碼:UiPath-SAIv1
  • 考試名稱:UiPath Certified Professional Specialized AI Professional v1.0
  • 更新時間:2025-12-15
  • 問題數量:213 題
  • 軟件版價格: $59.98
  • 軟件版

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Free Download UiPath-SAIv1 pdf braindumps

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最新的 UiPath Certified Professional UiPath-SAIv1 免費考試真題:

1. Which of the following statements is correct in the context of migrating a schema from Document Manager to a Modern Project?

A) If you import a schema into a document type that already contains a schema, the import will fail only if documents were already uploaded.
B) If you import a schema into a document type that already contains a schema, the import will be successful and the schema will be updated with the missing field.
C) If you import a schema into a document type that already contains a schema, the import will be successful and the schema will be overridden.
D) If you import a schema into a document type that already contains a schema, the import will fail.


2. What is the definition of Deep Learning?

A) 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 mimics biological neural networks.
B) 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.
C) The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
D) 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.


3. How are UiPath RPA and AI Center used for process improvement?

A) UiPath RPA and AI Center work together in process improvement by utilizing RPA bots to execute models deployed in Action Center that can be monitored in Insights. The ML models process data and generate insights, which are then used by the RPA bots to make informed decisions and carry out automated actions.
B) UiPath RPA and AI Center work together in process improvement by leveraging RPA capabilities to automate repetitive tasks and integrating AI Center to enhance decision-making and cognitive abilities.RPA bots can collect data, perform actions, and feed information to ML models in AI Center, which in turn can analyze the data and make predictions.
C) UiPath RPA and AI Center have overlapping functionalities, so they are not designed to work together in process improvement. Each tool serves different purposes and is used independently to achieve automation and AI capabilities, respectively.
D) UiPath RPA and AI Center are independent tools that do not work together in process improvement.
RPA focuses on task automation, while AI Center is primarily used for training and deploying machine learning models.


4. What is the correct order of recommended steps when introducing new labels into a mature taxonomy?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.


5. Which of the following statements best defines Dashboards in UiPath Communications Mining?

A) Dashboards are a tool used for monitoring the performance of live communications channel integrations.
B) Dashboards are pre-set visual displays for each dataset that can be modified only by admins.
C) Dashboards are used for monitoring label and entity performance.
D) Dashboards are fully customizable pages containing relevant charts and visuals for a specific dataset.


問題與答案:

問題 #1
答案: C
問題 #2
答案: A
問題 #3
答案: B
問題 #4
答案: 僅成員可見
問題 #5
答案: D

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