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Trustable UiPath-SAIAv1 Latest Exam Camp to Obtain UiPath CertificationIn a year after your payment, we will inform you that when the UiPath-SAIAv1 exam guide should be updated and send you the latest version. Our company has established a long-term partnership with those who have purchased our UiPath-SAIAv1 exam questions. We have made all efforts to update our products in order to help you deal with any change, making you confidently take part in the UiPath-SAIAv1 exam. Every day they are on duty to check for updates of UiPath-SAIAv1 Study Materials for providing timely application. We also welcome the suggestions from our customers, as long as our clients propose rationally. We will adopt and consider it into the renovation of the UiPath-SAIAv1 exam guide. Anyway, after your payment, you can enjoy the one-year free update service with our guarantee. UiPath Specialized AI Associate Exam (2023.10) Sample Questions (Q98-Q103):NEW QUESTION # 98
What is a recommended approach for increasing response accuracy when asking the Generative Extractor a question?
A. Request confidence levels for predictions.
B. Combine arithmetic operations with the question to create a better context.
C. Combine complex if-then-else type logic questions to create a better context.
D. Specify an output format to standardize the response.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
When using theGenerative Extractorin Document Understanding, the best way to increase accuracy and reliability is byspecifying a clear output format. This helps the model understand what kind of response is expected and improves parsing consistency.
* Example: "What is the invoice number? Please return in the format: InvoiceNumber: <value>"
* UiPath Documentation Reference:Using Generative Extractor - Document Understanding
NEW QUESTION # 99
Which generic ML Package should be used when the document type you are using is not part of the out of the box models?
A. DocumentClassifier
B. Document
C. DocumentMLPackage
D. DocumentUnderstanding
Answer: D
Explanation:
The DocumentUnderstanding ML package is a generic, retrainable model designed to handle various document types that are not covered by out-of-the-box models. It allows for the extraction of data from structured and semi-structured documents by building a model from scratch through training. This package is highly flexible and can be tailored to fit different document formats, making it ideal when specific document types are not pre-configured in UiPath's out-of-the-box offerings.(Source: UiPath Documentation on ML Packages
NEW QUESTION # 100
What additional information can be included in the exported data, apart from the extraction results?
A. The number of occurrences and the extraction confidence.
B. The extraction confidence and the digitization confidence.
C. The position on the page.
D. The page number from which the field was extracted and the exact position on the page.
Answer: D
Explanation:
The exported data from the UiPath Document Understanding Template contains the extraction results in a JSON format, along with some additional information that can be useful for debugging or analysis purposes.
One of the additional information that can be included is the page number from which the field was extracted and the exact position on the page, represented by the coordinates of the bounding box. This information can help to locate the field on the original document image and to verify the accuracy of the extraction. The additional information can be enabled or disabled by setting the IncludeMetadata parameter to true or false in the Config file of the template.
References: Document Understanding Process: Studio Template, Export Results
NEW QUESTION # 101
Which of the following is a best practice when choosing a UiPath ML (Machine Learning) Extractor?
A. Consider the document types, language, and data quality. It is important to select one that is specifically trained or optimized for the document types being processed. It is also important to takeinto account the quality and diversity of the training data used to train the ML Extractor to ensure accurate and reliable extraction results.
B. The size of the ML Extractor is the most important factor to consider. Bigger models always perform better and provide more accurate extraction results because the development team invested time and effort into creating the algorithm, which in turn will result in better performance for the trained model.
C. The popularity of the ML Extractor among other UiPath users should be the primary factor. Opt for the ML Extractor that has the highest number of downloads or positive reviews.
D. The cost of the ML Extractor should be the main consideration. Select the ML Extractor that offers the lowest price, regardless of its performance or suitability for the specific document understanding needs.
Answer: A
Explanation:
The best practice is to select an ML Extractor based on document types, language, and data quality. Choosing a model specifically optimized for the type of document being processed ensures higher accuracy and reliability. The quality and diversity of the training data used to develop the model play a significant role in its performance.
Reference: UiPath ML Extractors
NEW QUESTION # 102
Under what condition can a dataset be deleted in UiPath Al Center?
A. If it has never been used in a pipeline.
B. If it is not being used in any active pipeline.
C. If it is not associated with any ML skills.
D. If it has not been modified within the last 24 hours.
Answer: B
Explanation:
In UiPath AI Center, datasets can only be deleted if they are not being utilized in any active pipelines. This ensures that datasets tied to running or scheduled operations are not inadvertently deleted, which could disrupt ongoing processes. Once the dataset is confirmed to be unused in any active pipeline, it can safely be removed
NEW QUESTION # 103
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