UiPath UiPath-SAIv1 問題集

質問 1：
What is the name of the web application that allows users to prepare, review, and make corrections to datasets required for Machine Learning models?
A. Document Manager.
B. Data Manager.
C. Digitization.
D. ML Extractor.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 2：
What is the definition of Deep Learning?
A. 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.
B. The theory and development of computer systems that are able to perform tasks that normally require human intelligence and decision making.
C. 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.
D. 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.
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 3：
What is the purpose of the End Process in the Document Understanding Process?
A. End Process in the Document Understanding Process silently shuts down the Virtual Machine so that another robot can use it.
B. End Process is a feature in the Document Understanding Process that exports the extracted data into a readable document format.
C. The purpose of the End Process in the Document Understanding Process is to generate a summary report of the processing statistics and performance metrics.
D. End Process sets the queue transaction status as Successful in case of no exception, and as Failed in case of an exception with their corresponding Business or System Exception, and the post processing
/cleaning if required.
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 4：
For an analytics use case, what are the recommended minimum model performance requirements in UiPath Communications Mining?
A. Model Ratings of "Good" and individual performance factors rated as "Excellent".
B. Model Ratings of "Good" or better and individual performance factors rated as "Good" or better.
C. Model Ratings of "Excellent" and individual performance factors rated as "Good" or better.
D. Model Ratings of "Excellent" and individual performance factors rated as "Excellent".
正解：B

質問 5：
Why might labels have bias warnings in UiPath Communications Mining, even with 100% precision?
A. They lack training examples.
B. They were trained using the "Search" option extensively.
C. They were trained using the "Shuffle" option extensively.
D. They have low recall.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 6：
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 model's coverage.
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 mean average precision (MAP).
D. The label precision and recall statistics are determined by the confidence threshold.
正解：D
解説: (Topexam メンバーにのみ表示されます)

質問 7：
What is one best practice when designing a UiPath Communications Mining label taxonomy?
A. Each parent label should have at least 3 children labels to ensure specificity.
B. Each label should be identifiable from the text of the individual verbatim (not thread) to which it will be applied.
C. Each label should overlap sliqhtlv with a few distinct others so we ensure 100% coveraqe.
D. Each label should include customer experience/sentiment analysis in its coverage.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 8：
What is the function of the Immediate Panel in UiPath Studio during the debugging process?
A. Modifying the values of variables and arguments at runtime during the debugging process.
B. Displaying the performance analysis of all the operations, showing the execution time of each activity.
C. Displaying the next activity to be executed and its parent containers when the project is paused in debugging.
D. Inspecting data at a certain point during debugging by evaluating variables, arguments, or statements.
正解：D

質問 9：
What is the default visibility of an ML skill?
A. An ML skill is by default private and can't be made public.
B. An ML skill is by default private and can be made public.
C. An ML skill is by default public and can be made private.
D. An ML skill is by default public and can't be made private.
正解：B
解説: (Topexam メンバーにのみ表示されます)