Oracle 1Z0-1096-22 Online Practice Questions and Exam Preparation

Oracle 1Z0-1096-22 Online Questions & Answers

• Question 1:

  You have created an Oracle Machine Learning notebook and want to share it with another collaborator. However, you do not want to provide the ability to run or modify the notebook in your workspace. Which three options can be used to do this?

  A. Provide the user Viewer permission to your workspace.
  B. Export the notebook and import it into the other user's project.
  C. Share the notebook as a Shared Oracle Machine Learning Template.
  D. Provide the user Developer permission to your workspace.
  A. Provide the user Viewer permission to your workspace.
  C. Share the notebook as a Shared Oracle Machine Learning Template.
  D. Provide the user Developer permission to your workspace.

• Question 2:

  In which three use cases are Oracle MachineLearning algorithms suitable?

  A. Customer segmentation
  B. Graph analytics
  C. Speech recognition
  D. Medical outcome analysis
  E. Anomaly and fraud detection
  A. Customer segmentation
  B. Graph analytics
  E. Anomaly and fraud detection

• Question 3:

  Which three types of forms are available in Oracle Machine Learning Notebooks?

  A. Text Input form
  B. Select form
  C. List form
  D. Check Box form
  E. Radio form
  A. Text Input form
  B. Select form
  D. Check Box form

• Question 4:

  Which three types of templates are available in Oracle Machine Learning Notebooks?

  A. Personal templates
  B. Public templates
  C. Example templates
  D. Shared templates
  E. Custom templates
  A. Personal templates
  C. Example templates
  D. Shared templates

• Question 5:

  A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?

  A. Clustering
  B. Regression
  C. Association Rules
  D. Anomaly Detection
  D. Anomaly Detection

• Question 6:

  Which three are supervised machine learning algorithms?

  A. Random Forest
  B. Support Vector Machines
  C. Linear Regression
  D. Association rule
  E. K-means clustering
  A. Random Forest
  B. Support Vector Machines
  C. Linear Regression

• Question 7:

  Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?

  A. Polynote
  B. Zeppelin Notebook
  C. Google Colab
  D. Jupyter Notebook
  B. Zeppelin Notebook

• Question 8:

  Which feature of Oracle Machine Learning Notebooks should you use for data analysis, data discovery, data visualization, and collaboration on Oracle Autonomous Database?

  A. Workspace
  B. Notebook
  C. Job
  D. Project
  B. Notebook

• Question 9:

  You have created a notebook and want to run the notebook on a periodic schedule. How should you achieve this?

  A. You cannot run the notebook on the scheduled time.
  B. You can create a job and schedule it to run a specific notebook.
  C. You have to login as the admin user and schedule a job to run the notebook.
  D. You need to contact the database administrator to configure the notebook to run at a particular time.
  B. You can create a job and schedule it to run a specific notebook.

• Question 10:

  Which task is NOT required by an Administrator when adding a new user to Oracle Machine Leamina (OML) Notebooks?

  A. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
  B. Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.
  C. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.
  D. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
  C. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.