Question # 1 What is the purpose of the "Explore" phase in UiPath Communications Mining? A. To fully review and correctly tag the model version, regardless if it's "Live" or "Staging".B. To use the bulk label functionality, a helpful tool to quickly train the model when
searching for specific terms.C. To provide each label/entity in a taxonomy with enough training examples so the model
can make accurate predictions at scale.D. To review the clusters of similar communications from a data set that unsupervised
learning automatically found.
Click for Answer
C. To provide each label/entity in a taxonomy with enough training examples so the model
can make accurate predictions at scale.
Answer Description Explanation: The Explore phase is the second phase of model training in UiPath
Communications Mining, which is a solution that enables the analysis of large volumes of
text-based communications using natural language processing and machine learning. The
Explore phase builds on the foundations of the taxonomy that was created in the Discover
phase by reviewing clusters and searching for different terms and phrases. The objective of
the Explore phase is to provide each of the labels or entities that are important for the use
case with enough varied and consistent training examples, so that the platform has
sufficient training data from which to make accurate predictions across the entire
dataset. The Explore phase is the core phase of model training, and requires the most time
and effort, but also leads to better model performance and accuracy1.
Question # 2 What does the Automation Suite installer enable? A. Enables the deployment, management, and improvement of ML models on UiPath
Automation Cloud, and requires no infrastructure and no maintenance.B. Enables the deployment, management, and improvement of ML models locally, and
requires manual download of all the resources and then loading them into the node.C. Enables the deployment of the full UiPath Automation Platform in the environment of choice and contains everything in one package that can be deployed in multi-node mode
with automatic scaling and built-in HA. monitor, configure, and upgrade.D. Enables the deployment, management, and improvement of ML models locally with
easy installation due to the automatic retrieval of the installer and associated artifacts from
the internet.
Click for Answer
C. Enables the deployment of the full UiPath Automation Platform in the environment of choice and contains everything in one package that can be deployed in multi-node mode
with automatic scaling and built-in HA. monitor, configure, and upgrade.
Answer Description Explanation: According to the UiPath documentation portal1, the Automation Suite
installer is a single package that enables the deployment of the full UiPath Automation
Platform in the environment of choice, whether on-premises or in the cloud. The
Automation Suite installer contains all the components and dependencies required for the
installation, such as the infrastructure, the orchestrator, the AI Center, the Action Center,
the Insights, the Test Suite, and the Document Understanding. The Automation Suite
installer also supports multi-node deployment with automatic scaling and built-in high
availability, as well as easy monitoring, configuration, and upgrade options1. Therefore,
option C is the correct answer, as it describes the features and benefits of the Automation
Suite installer. Option A is incorrect, as it refers to the UiPath Automation Cloud, which is a
different offering that does not require an installer. Option B is incorrect, as it describes a
manual installation process that is not enabled by the Automation Suite installer. Option D
is incorrect, as it confuses the Automation Suite installer with the installUiPathAS.sh script,
which is a separate file that is used to launch the installer wizard2.
Question # 3 What is supervised learning? A. Supervised learning is a machine learning paradigm in which algorithms try to solve a
problem only by trial and error and using a system of rewards and punishments.B. Supervised learning is a machine learning paradigm in which algorithms try to solve a
problem in an uncertain, potentially complex environment only by trial and error and using a
system of
rewards and punishments.C. Supervised learning is a machine learning paradigm with the goal of learning a function
that maps input variables with output variables.D. Supervised learning is a machine learning paradigm that refers to algorithms that learn
patterns from unlabeled data.
Click for Answer
C. Supervised learning is a machine learning paradigm with the goal of learning a function
that maps input variables with output variables.
Answer Description Explanation: Supervised learning is one of the most popular and widely used machine
learning approaches. It involves providing the algorithm with labeled input/output pairs,
which serve as examples of the desired behavior or outcome. The algorithm then learns a
function that can generalize from these examples and make predictions for new, unseen
data. Supervised learning can be used for tasks such as classification, regression, and
anomaly detection. Some common supervised learning algorithms are linear regression,
logistic regression, decision trees, support vector machines, and neural networks.
Question # 4 What are the available options for Scoring in Document Manager, that apply only to string
content type? A. Exact match and Naive string search.B. Exact match and Phonetic matching.C. Exact match and Levenshtein.D. Exact match and Finite state automation-based search.
Click for Answer
C. Exact match and Levenshtein.
Answer Description Explanation: According to the UiPath documentation, the available options for Scoring in
Document Manager, that apply only to string content type, are exact match and
Levenshtein. Exact match is a scoring strategy that considers a prediction to be correct
only if it exactly matches the true value. Levenshtein is a scoring strategy that measures
the similarity between two strings by counting the minimum number of edits (insertions,
deletions, or substitutions) required to transform one string into another. The lower the
Levenshtein distance, the higher the score. These options can be configured in the Advanced tab of the Edit Field window for string fields.
Question # 5 What is the correct order of uploading a package exported from UiPath AI Center?
Answer Description Explanation:
Export the package from AI Center. This is the first step where you prepare the
package to be moved.
On the ML Packages page, click the Import ML Package button. This step is where
you start the process of importing the package you've exported.
On the Upload package field, add the zip file downloaded using the Downloading
ML Packages procedure. After starting the import process, you will upload the
actual package.
Click Create. This is the final step where you finalize the uploading process of your
ML package.
Please proceed with these steps in the UiPath AI Center to upload your exported package
correctly.
Question # 6 When is it recommended to use Main-ActionCenter in the context of the Document
Understanding Process? A. When implementing an attended process.B. When testing locally or implementing an attended process.C. When testing locally.D. When testing locally or implementing an unattended process.
Click for Answer
B. When testing locally or implementing an attended process.
Answer Description Explanation: Main-ActionCenter is a workflow that allows you to create and manage
Document Understanding actions in Action Center, which is a web application that enables
human intervention in automation processes. You can use Main-ActionCenter when you
want to test your Document Understanding process locally, or when you want to implement
an attended process that requires human validation or classification of documents. Main-
ActionCenter is not recommended for unattended processes, as they do not involve human
interaction.
Question # 7 While training a UiPath Communications Mining model, the Search feature was used to pin
a certain label on a few communications. After retraining, the new model version starts to
predict the tagged label but infrequently and with low confidence. A. Use the "Rebalance" training mode to pin the label to more communications.B. Use the 'Teach" training mode to pin the label to more communications.C. Use the "Low confidence" training mode to pin the label to more communications.D. Use the "Search" feature to pin the label to more communications.
Click for Answer
B. Use the 'Teach" training mode to pin the label to more communications.
Answer Description Explanation: According to the UiPath documentation, the ‘Teach’ training mode is used to
improve the model’s predictions for a specific label by pinning it to more communications
that match the label’s criteria. This helps the model learn from more examples and increase
its confidence and accuracy. The ‘Teach’ mode also allows you to unpin the label from
communications that do not match it, which helps the model avoid false positives. The
other training modes are not as effective for this purpose, as they either focus on different
aspects of the model performance or do not provide enough feedback to the model.
Question # 8 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 very similar and file splitting is not necessary.B. When the custom document types are not similar and file splitting is not necessary.C. When the custom document types are not similar and file splitting is necessary.D. When the custom document types are very similar and file splitting is necessary.
Click for Answer
A. When the custom document types are very similar and file splitting is not necessary.
Answer Description Explanation: The ML Classifier is a document classifier that uses a machine learning
model deployed as an ML Skill in AI Center to perform document classification tasks. The
ML Classifier can work by default with Invoices, Purchase Orders, Receipts, and Utility
Bills, or with custom document types that are trained using the Data Manager and the
Machine Learning Classifier Trainer12.
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