ANSWERS UIPATH-SAIV1 FREE - UIPATH-SAIV1 PREPARATION STORE

Answers UiPath-SAIv1 Free - UiPath-SAIv1 Preparation Store

Answers UiPath-SAIv1 Free - UiPath-SAIv1 Preparation Store

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To increase your chances of success, consider utilizing the Exam4Labs UiPath-SAIv1 Exam Questions, which are valid, updated, and reflective of the actual UiPath-SAIv1 exam. Don't miss the opportunity to strengthen your UiPath UiPath-SAIv1 exam preparation with these valuable questions. The Exam4Labs is a leading platform that has been assisting the UiPath UiPath-SAIv1 Exam candidates for many years. Over this long time period countless UiPath-SAIv1 exam candidates have passed their UiPath UiPath-SAIv1 certification exam. They got success in UiPath Certified Professional Specialized AI Professional v1.0 exam with flying colors and did a job in top world companies.

UiPath Certified Professional Specialized AI Professional v1.0 Sample Questions (Q197-Q202):

NEW QUESTION # 197
How do you load a taxonomy from a given non-default location text file into a variable?
Instructions: Drag the steps found on the "Left" and drop them on the "Right" in the correct order.

Answer:

Explanation:

Explanation:

to load a taxonomy from a given non-default location text file into a variable, the order of steps should be as follows:
* Create a new variable of type 'DocumentTaxonomy' called 'documentTaxonomy', then create a new string variable called 'taxonomyPath'.
* This step involves setting up the necessary variables that will be used in the process. The
'documentTaxonomy' variable will hold the deserialized taxonomy object, and 'taxonomyPath' will store the path to the taxonomy file.
* Using an Assign activity, assign the given non-default taxonomy text file path to the most recent variable created.
* Here you will assign the path of the taxonomy file to the 'taxonomyPath' variable.
* Use the Read Text File activity on the 'taxonomyPath' variable created. Next, create a new variable 'taxonomyText', then save the output of the Read Text File activity to 'taxonomyText'.
* This step is where you read the contents of the taxonomy file using the 'Read Text File' activity.
The contents are stored in the 'taxonomyText' variable.
* Inside the last Assign activity 'Value to Save' property add the following expression: "Newtonsoft.
Json.JsonConvert.DeserializeObject(Of DocumentTaxonomy)(taxonomyText)" where ' taxonomyText' is the text read from the file and 'documentTaxonomy' (the most recent variable created) is the variable you created.
* In this final step, you will deserialize the JSON content from the 'taxonomyText' into a
'DocumentTaxonomy' object using the 'JsonConvert.DeserializeObject' method and assign it to the 'documentTaxonomy' variable.
Following these steps in this order will load the taxonomy from a text file into the 'documentTaxonomy' variable in UiPath.


NEW QUESTION # 198
In which of the following scenarios, the ML Classifier is the only recommended classifier to be used, according to best practice?

  • A. When the custom document types are not similar and file splitting is necessary.
  • B. When the custom document types are very similar and file splitting is not necessary.
  • C. When the custom document types are not similar and file splitting is not necessary.
  • D. When the custom document types are very similar and file splitting is necessary.

Answer: B


NEW QUESTION # 199
Which of the following is an indicator that sufficient training has been completed for a model in UiPath Communications Mining?

  • A. A model rating of 50-60.
  • B. A model rating of 40-50.
  • C. A model rating of 70-90 or better.
  • D. A model rating of 30-40.

Answer: C


NEW QUESTION # 200
Which role consumes ML Skills within customized workflows in Studio using the ML Skill activity from the UiPath.MLServices.Activities package?

  • A. RPA Developer.
  • B. Data Scientist.
  • C. Administrator.

Answer: A

Explanation:
D Process Controller


NEW QUESTION # 201
How do partially labeled messages impact label predictions in UiPath Communications Mining?

  • A. They negatively affect model performance.
  • B. They enhance label recall.
  • C. They reduce label bias.
  • D. They improve label precision.

Answer: 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


NEW QUESTION # 202
......

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