Which option is NOT considered a data annotation strategy in IBM Maximo Visual Inspection?
Which option is NOT considered a data annotation strategy in IBM Maximo Visual Inspection? A . Manual labeling B . Auto labeling using machine learning C . Semi-automated labeling using predefined rules D . Random labeling without human or AI intervention View AnswerAnswer: D
How does customizing inspection triggers in Maximo Visual Inspection improve operational workflows?
How does customizing inspection triggers in Maximo Visual Inspection improve operational workflows?A . By requiring manual initiation of every inspection processB . By automating the initiation of inspections based on predefined criteriaC . By limiting the number of possible inspectionsD . By increasing the complexity of inspection setupsView AnswerAnswer: B
In IBM Maximo Visual Inspection, what is the role of APIs in the deployment phase?
In IBM Maximo Visual Inspection, what is the role of APIs in the deployment phase? A . To encrypt all data transmitted between the client and server B . To allow the model to be accessed by external systems C . To monitor the health of the server hardware D . To automate the...
What is the primary role of data augmentation in IBM Maximo Visual Inspection?
What is the primary role of data augmentation in IBM Maximo Visual Inspection? A . To decrease the overall processing time B . To enhance model accuracy through diverse data scenarios C . To minimize the manual data labeling effort D . To reduce the dataset size required for training View AnswerAnswer: B
A crucial step in monitoring model performance after deployment in IBM Maximo Visual Inspection is:
A crucial step in monitoring model performance after deployment in IBM Maximo Visual Inspection is: A . Updating the user interface to enhance user interaction B . Regularly evaluating the model’s accuracy and making necessary adjustments C . Increasing the diversity of input features D . Decreasing the update frequency for the deployed model View...
A key feature of MVI Edge that supports data collection in remote locations is its ability to:
A key feature of MVI Edge that supports data collection in remote locations is its ability to: A . Stream data in real-time to central servers B . Process data locally without needing a constant internet connection C . Encrypt data automatically during collection D . Store large amounts of data in the cloud View...
How does configuring the dashboard in IBM Maximo Visual Inspection aid in managing inspections?
How does configuring the dashboard in IBM Maximo Visual Inspection aid in managing inspections? A . It allows users to customize the graphical display of data B . It provides real-time updates on the status of ongoing inspections C . It restricts access to data based on user roles D . It automatically archives...
To prevent overfitting during model training in IBM Maximo Visual Inspection, one effective strategy is:
To prevent overfitting during model training in IBM Maximo Visual Inspection, one effective strategy is: A . Adding more layers to the neural network B . Decreasing the size of the training dataset C . Implementing regularization techniques D . Switching to a less complex algorithm View AnswerAnswer: C
The main purpose of configuring the MVI Mobile application in IBM Maximo Visual Inspection is to:
The main purpose of configuring the MVI Mobile application in IBM Maximo Visual Inspection is to: A . Establish necessary network connections for operation B . Tailor the user interface according to user preferences C . Set operational parameters for mobile deployments D . Manage the storage capabilities on mobile devices View AnswerAnswer: C
In IBM Maximo Visual Inspection, what is a common method to validate a model after training?
In IBM Maximo Visual Inspection, what is a common method to validate a model after training? A . Re-training the model with a new dataset B . Running the model through a series of predefined tests C . Comparing the model’s predictions with known outputs D . Increasing the size of the training dataset View...