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Exam Code : S1000-014
Exam Name : IBM Maximo Visual Inspection v8.3 Developer Specialty
Vendor Name : "IBM"





What is the primary purpose of data preparation in IBM Maximo Visual Inspection?


  1. To convert images into a standard format

  2. To label and annotate training data

  3. To optimize model hyperparameters

  4. To perform feature engineering

    Answer: B


Explanation: Data preparation in IBM Maximo Visual Inspection involves labeling and annotating training data. This step is crucial for supervised learning, as it helps the model understand and learn from the labeled examples.



Question: 2


When acquiring data for training a visual inspection model, which of the following methods is suitable for capturing images of stationary objects?


  1. Handheld camera

  2. Conveyor belt camera

  3. Drone-mounted camera

  4. Robot-mounted camera

    Answer: A


Explanation: When capturing images of stationary objects, a handheld camera is a suitable choice. It allows the operator to position the camera at appropriate angles and distances to capture the desired details.



Question: 3

How can you deploy a trained visual inspection model in IBM Maximo Visual Inspection?


  1. Export the model as a TensorFlow graph

  2. Publish the model as a RESTful API

  3. Save the model as a Python script

  4. Compile the model into a standalone executable

    Answer: B


Explanation: In IBM Maximo Visual Inspection, a trained visual inspection model can be deployed by publishing it as a RESTful API. This allows other applications or systems to interact with the model and make predictions based on new data.



Question: 4


Which of the following is NOT a typical use case for IBM Maximo Visual Inspection?


  1. Quality control in manufacturing processes

  2. Asset inspection in oil and gas industry

  3. Document recognition in financial services

  4. Defect detection in pharmaceutical production

    Answer: C


Explanation: IBM Maximo Visual Inspection is primarily designed for visual inspection and defect detection tasks in industrial settings such as manufacturing, oil and gas, and pharmaceutical production. It is not specifically tailored for document recognition in financial services.

How does Maximo Visual Inspection integrate with other applications in the Maximo Suite?


  1. By sharing data through RESTful APIs

  2. By exporting inspection reports in PDF format

  3. By synchronizing data using FTP protocols

  4. By embedding Maximo Visual Inspection within the applications

    Answer: A


Explanation: Maximo Visual Inspection integrates with other applications in the Maximo Suite by sharing data through RESTful APIs. This allows seamless communication and data exchange between Maximo Visual Inspection and other Maximo Suite applications.



Question: 6


Which of the following devices can be used for running Maximo Visual Inspection Edge?


  1. Industrial robots

  2. Augmented reality headsets

  3. Mobile phones and tablets

  4. Desktop computers

    Answer: C


Explanation: Maximo Visual Inspection Edge is designed to run on mobile devices such as phones and tablets. It enables real-time visual inspection and defect detection on the shop floor or field using the device's camera and processing capabilities.


Question: 7


Which of the following statements is true regarding the integration between Maximo Visual Inspection Mobile and Maximo Visual Inspection Edge?


  1. Maximo Visual Inspection Mobile requires a constant internet connection, while Maximo Visual Inspection Edge can work offline.

  2. Maximo Visual Inspection Mobile supports more advanced visual recognition capabilities compared to Maximo Visual Inspection Edge.

  3. Maximo Visual Inspection Edge can only capture images, while Maximo Visual Inspection Mobile supports video recording.

  4. Maximo Visual Inspection Mobile is designed for on-premises deployments, while Maximo Visual Inspection Edge is cloud-based.




Answer: A



Explanation: Maximo Visual Inspection Mobile requires a constant internet connection as it relies on cloud-based services for processing and analysis. In contrast, Maximo Visual Inspection Edge is designed to work offline, processing images and making predictions locally on the device.



Question: 8


Which of the following actions can be performed to manage data sets in IBM Maximo Visual Inspection?


  1. Create new inspection models

  2. Export data sets for analysis

  3. Train machine learning models

  4. Configure visual recognition settings

    Answer: B


Explanation: In IBM Maximo Visual Inspection, you can manage data sets by exporting them for further analysis. This allows you to perform detailed analysis using external tools or platforms.



Question: 9


Which of the following steps is involved in both training and validating visual inspection models?


  1. Data acquisition

  2. Data preparation

  3. Model deployment

  4. Mobile integration

    Answer: B


Explanation: Data preparation is a crucial step that is involved in both training and validating visual inspection models. It includes tasks such as labeling, annotating, and cleaning the training data to ensure the model's accuracy and performance.