2024 Valid 1z0-1096-23 test answers & Oracle Exam PDF
Free Oracle 1z0-1096-23 Exam Questions and Answer from Training Expert VCEDumps
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NEW QUESTION # 21
Two users at different locations are collaborating on a project by editing the same notebook. Which type of notebook should they use for collaboration?
- A. Example notebook
- B. Public Notebook
- C. Personal Notebook
- D. Shared Notebook
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-library-collaborate-users Use Templates to Collaborate with Users In the Oracle Machine Learning Templates UI, you can collaborate with other users by sharing your work, publishing your work as reports, and by creating notebooks from tem-plates. You can store your notebooks as templates, share notebooks, and provide sample templates to other users. Note: You can also collaborate with other Oracle Machine Learning Notebook users by providing access to your workspace. The authenticated user can then access the projects in your workspace, and access your notebooks. The access level depends on the permission type granted - Manager, Developer, or Viewer.
For more information about collaboration among users, see
unre-solvable-reference.html#GUID-7079D42F-9308-4BEF-B2F2-E74E49A22A87 Use the Personal Templates Personal Templates lists the notebook templates that you have created. Use the Shared Templates In the Shared Templates, you can share notebook templates with all authenticated users the notebook templates you create from existing notebooks available in Templates. Use the Example Templates The Example Templates page lists the pre-populated Oracle Machine Learning notebook templates. You can view and use these templates to create your notebooks.
NEW QUESTION # 22
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Polynote
- B. Jupyter Notebook
- C. Zeppelin Notebook
- D. Google Colab
Answer: C
Explanation:
Explanation
Oracle Machine Learning Notebooks is an Apache Zeppelin-based collaborative web-based inter-face that provides a development environment to create machine learning notebooks where you can perform data exploration and visualizations, data preparation and machine learning.
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-oracle-machine-le
NEW QUESTION # 23
Which task is NOT required by an Administrator when adding a new user to Oracle Ma-chine Leamina (OML) Notebooks?
- A. Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.
- B. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.
- C. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
- D. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
Answer: D
Explanation:
* The task that is NOT required by an administrator when adding a new user to Oracle Machine Learning Notebooks is providing the user with an Autonomous Data Warehouse client wallet for remote authentication3.
* The client wallet is only needed for remote access to the database using tools such as SQL Developer or Python. For accessing Oracle Machine Learning Notebooks, the user only needs an OML username and password, which are created by the administrator in the Oracle Machine Learning User Management interface3.
NEW QUESTION # 24
Which three SQL commands are restricted in an Autonomous Database?
- A. Alter Table
- B. Alter Profile
- C. Create Tablespace
- D. Create Table
- E. Alter Tablespace
Answer: B,C,E
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/autonomous-sql-commands.html
NEW QUESTION # 25
Which feature of Oracle Machine Learning Notebooks should you use for data analysis, da-ta discovery, data visualization, and collaboration on Oracle Autonomous Database?
- A. Workspace
- B. Job
- C. Notebook
- D. Project
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/create-notebooks-oml.html#GUID-0F489564
NEW QUESTION # 26
Which three types of forms are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Radio form
- B. List form
- C. Check Box form
- D. Select form
- E. Text Input form
Answer: C,D,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/create-check-box-forms.html
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/create-select-forms.html
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/create-text-input-forms.html
NEW QUESTION # 27
In which three use cases are Oracle Machine Learning algorithms suitable? (Choose three.)
- A. Speech recognition
- B. Graph analytics
- C. Customer segmentation
- D. Medical outcome analysis
- E. Anomaly and fraud detection
Answer: C,D,E
Explanation:
* Oracle Machine Learning algorithms are suitable for various use cases that involve data analysis, prediction, classification, clustering, association, and feature extraction56.
* Three use cases that are suitable for Oracle Machine Learning algorithms are:
* Medical outcome analysis: This is a use case that involves predicting the outcome of a medical treatment or procedure based on patient characteristics and medical history. Oracle Machine Learning algorithms such as Generalized Linear Models, Support Vector Machines, or Neural Networks can be used for this task.
* Anomaly and fraud detection: This is a use case that involves identifying unusual or suspicious patterns or behaviors in data that may indicate fraud, abuse, or errors. Oracle Machine Learning algorithms such as One-Class Support Vector Machines, Anomaly Detection, or Principal Component Analysis can be used for this task.
* Customer segmentation: This is a use case that involves grouping customers based on their similarities in terms of demographics, preferences, behaviors, or needs. Oracle Machine Learning algorithms such as K-Means, Expectation Maximization, or Non-Negative Matrix Factorization can be used for this task.
NEW QUESTION # 28
When managing Machine Learning models using the OML AutoML UI, what are the three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI? (Choose three.)
- A. Review the model statistics associated with the experiment of an OML in-database model.
- B. Deploy an OML in-database model to a REST endpoint.
- C. Create a notebook with auto-generated OML4Py code from an OML in-database mod-el to allow for further model tweaking and batch scoring.
- D. Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.
- E. Review the model statistics associated with the experiment of an ONNX-format image classification model.
Answer: A,B,C
Explanation:
Explanation
When managing machine learning models using the OML AutoML UI, three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI are:
* Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring. This feature enables users to export the selected model as a notebook that contains the OML4Py code to reproduce the model building process and perform additional tasks such as model evaluation, scoring, or deployment1.
* Deploy an OML in-database model to a REST endpoint. This feature enables users to deploy the selected model as a RESTful web service that can be accessed by external applications or tools for real-time scoring or predictions2.
* Review the model statistics associated with the experiment of an OML in-database model. This feature
* enables users to view the details of the model such as the algorithm name, hyperparameters, performance metrics, feature importance, and confusion matrix3.
NEW QUESTION # 29
What are three key features of Oracle Machine Learning Notebooks? (Choose three.)
- A. They provide a collaborative notebook interface on Oracle Autonomous Database.
- B. They enable access to in database implementation of machine learning algorithms.
- C. They support integration with Oracle Data Miner-ID
- D. They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
- E. They enable job scheduling of notebooks on a recurring schedule.
Answer: A,B,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/
NEW QUESTION # 30
Which two statements are true about OML AutoML UI? (Choose two.)
- A. An Experiment can be run with two possible options: Faster Results or Better Accuracy.
- B. When creating a notebook from an experiment-produced Model, the top algorithm in the Leader Board is automatically selected and converted to OML4Py code.
- C. Automates key modeling steps such as algorithm selection, feature selection, and hyperparameter tuning.
- D. An Experiment returns a single machine learning model, on successful execution Pro-vides Classification Prediction Type for numeric data and Regression Prediction Type for non-numeric data.
Answer: A,C
Explanation:
Explanation
https://www.oracle.com/a/tech/docs/otn-batch1/oml-automl-ui-tech-brief.pdf
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
NEW QUESTION # 31
Which three are unsupervised machine learning algorithms? (Choose three.)
- A. Principal Component Analysis
- B. Naive Bayes
- C. Random Forest
- D. K-means clustering
- E. Logistical Regression
- F. Association rule
Answer: A,D,F
Explanation:
Explanation
Unsupervised machine learning uses a more independent approach, in which a computer learns to identify complex processes and patterns without a human providing close, constant guidance. Un-supervised machine learning involves training based on data that does not have labels or a specific, defined output. To continue the childhood teaching analogy, unsupervised machine learning is akin to a child learning to identify fruit by observing colors and patterns, rather than memorizing the names with a teacher's help. The child would look for similarities between images and separate them into groups, assigning each group its own new label.
Examples of unsupervised machine learning algorithms include k-means clustering, principal and independent component analysis, and association rules.
NEW QUESTION # 32
Which three types of permissions can be granted to a user to callaborate and access a workspace in Oracle Machine Learning Notebooks?
- A. Manager
- B. Guest
- C. Developer
- D. Viewer
- E. Administrator
Answer: A,C,D
Explanation:
* The three types of permissions that can be granted to a user to collaborate and access a workspace in Oracle Machine Learning Notebooks are Viewer, Manager, and Developer1.
* Viewer is a user role that allows users to view notebooks but not run or modify them1.
* Manager is a user role that allows users to perform all the tasks of a Developer as well as manage other users' workspaces and permissions1.
* Developer is a user role that allows users to create and run notebooks, run SQL statements, create SQL scripts, run Python scripts, create jobs to schedule and run notebooks, use example template notebooks, create and run AutoML experiments, and deploy models1.
NEW QUESTION # 33
Which three Oracle Machine Learning (OML) Notebooks capabilities are enabled when an OML user is created with the oml_developer role? (Choose three.)
- A. Save scripts to the Python script repository.
- B. Create and execute OML Notebooks.
- C. Share notebooks with other OML users.
- D. Transfer OML workspace to other users.
Answer: A,B,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 34
In an Oracle Machine Learning notebook, which is the correct syntax for starting a SQL script in Scratchpad?
- A. "#sql"
- B. "%sql"
- C. "$sql"
- D. "@sql"
Answer: B
Explanation:
Explanation
%sql - Allows you to run SQL statements. Use the Scratchpad The Scratchpad provides you convenient one-click access to a notebook for running SQL statements, PL/SQL scripts, and Python scripts that can be renamed. The Scratchpad is available on the Oracle Machine Learning Notebooks home page. Note: The Scratchpad is a regular notebook that is prepopulated with three paragraphs - %sql, %script, and %python.
After you run your scripts, the Scratchpad is automatically saved as a notebook by the default name Scratchpad in the Notebooks page. You can access it later in the Notebooks page. You can run all the paragraphs together or one paragraph at a time. To open and use the scratchpad, click Scratchpad on the Oracle Machine Learning Notebooks home page under Quick Actions. The Scratchpad opens. The Scratchpad has three paragraphs each with the following directives:%sql - Allows you to run SQL statements.%script - Allows you to run PL/SQL scripts.%python - Allows you to run Python scripts.
NEW QUESTION # 35
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML Services
- B. Oracle Data Miner
- C. OML4Py
- D. OML4SQL
- E. OML AutoML UI
- F. OML4R
Answer: C,E
Explanation:
Explanation
https://blogs.oracle.com/machinelearning/post/introducing-oml-automl-user-interface
https://www.oracle.com/a/tech/docs/technical-resources/oml-technical-brief.pdf
NEW QUESTION # 36
Which three actions can be performed by an Administrator in Oracle Machine Learning (OML) Notebooks?
(Choose three.)
- A. Create, edit and delete OML users.
- B. View notebooks.
- C. Reassign workspaces to users.
- D. Create, run and delete notebooks.
- E. Create and run jobs.
Answer: A,B,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
* View notebooks. An Administrator can view notebooks in their own workspace or in workspaces where they have collaboration rights. However, an Administrator cannot run or modify notebooks1.
* Reassign workspaces to users. An Administrator can reassign workspaces from one user to another user in the User Data page. This can be useful when a user leaves the organization or changes roles2.
* Create, edit and delete OML users. An Administrator can create new OML user accounts and passwords, edit existing OML user information, and delete OML users in the User Management interface.
NEW QUESTION # 37
Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
- A. View notebooks in read-only mode
- B. Manage any notebook
- C. Reassign user workspace
- D. Run noteboooks
Answer: A,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 38
What is the correct sequence of creating items in Oracle Machine Learning (OML) Note-books when setting up a new Autonomous Database instance?
- A. OML User, Notebook, Job
- B. Notebook, Job, Project, OML User
- C. Workspace, OML User, Notebook, Jobs
- D. Job, Project, Workspace, Notebook
Answer: C
Explanation:
* The correct sequence of creating items in Oracle Machine Learning Notebooks when setting up a new Autonomous Database instance is Workspace, OML User, Notebook, Jobs1.
* A workspace is a logical container for organizing and managing notebooks, jobs, and projects. A workspace can be shared by multiple users with different roles and permissions1.
* An OML user is a database user who has access to Oracle Machine Learning Notebooks. An administrator needs to create an OML username and password for each user in the Oracle Machine Learning User Management interface2.
* A notebook is a document that contains SQL, PL/SQL, Python, or R code, as well as text, images, charts, and graphs. A notebook can be used for data exploration, data visualization, data preparation, and machine learning3.
* A job is a scheduled execution of a notebook or a script. A job can run on a recurring schedule or on demand. A job can also send notifications to users via email or webhooks4.
NEW QUESTION # 39
Which of the following is not type of a workspace permission that can be granted to other us-ers?
- A. Developer
- B. Manager
- C. Viewer
- D. Contributor
Answer: D
Explanation:
* Contributor is not a type of workspace permission that can be granted to other users in Oracle Machine Learning Notebooks1.
* The types of workspace permissions that can be granted to other users are Manager, Developer, and Viewer1.
* Manager is a user role that allows users to perform all the tasks of a Developer as well as manage other users' workspaces and permissions1.
* Developer is a user role that allows users to create and run notebooks, run SQL statements, create SQL scripts, run Python scripts, create jobs to schedule and run notebooks, use example template notebooks, create and run AutoML experiments, and deploy models1.
* Viewer is a user role that allows users to view notebooks but not run or modify them1
NEW QUESTION # 40
Which two types of permissions allow you tables and run any script on an owner's account? (Choose two.)
- A. Manager
- B. Guest
- C. Viewer
- D. Developer
Answer: A,D
Explanation:
Explanation
Grant Workspace Permissions You can collaborate with other users in Oracle Machine Learning by granting permissions to access your workspace. Your workspace contains your projects and note-books. By granting different types of permissions such as Manager, Developer, and Viewer, you can allow another user to view your workspace and perform different tasks in your projects and note-books such as edit, create, update, delete, run, view notebooks and so on. For more information about the permission types, see About Workspace Permission Types. Caution: If you grant the per-mission type Manager or Developer, then the user can also drop tables, create tables, and run any scripts at any time on your account. The user with Viewer permission type can only view your note-books, and is not authorized to run or make any changes to your notebooks
NEW QUESTION # 41
When running which type of code must you use %script in Oracle Machine Learning Note-books?
- A. SQL script
- B. JSON script
- C. PL/SQL script
- D. JavaScript
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-scratchpad.html
NEW QUESTION # 42
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)
- A. Oracle Application Express
- B. Autonomous JSON Database
- C. Autonomous Data Warehouse
- D. Autonomous Transaction Processing
- E. Autonomous Dedicated Infrastructure
Answer: B,C,D
Explanation:
Explanation
Oracle Machine Learning Notebooks Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Note-books support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. View interactive product tour Oracle Machine Learning Notebooks with Autonomous Data Warehouse documentation Oracle Machine Learning Notebooks with Autonomous Transaction Processing documentation Oracle Ma-chine Learning Notebooks with Autonomous JSON Database documentation
NEW QUESTION # 43
To navigate to a specific notebook provided by another user, which is the correct workflow?
- A. Change project > Change workspace > Open notebook
- B. Select workspace > Select project > List notebooks > Open notebook
- C. Create user > Change workspace > Open notebook
- D. Change user > Open notebook > Create project
Answer: B
Explanation:
Explanation
https://apexapps.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=891&clear=180&session=109742845
NEW QUESTION # 44
You are using Oracle Machine Learning with Autonomous Database for the first time. After creating an Autonomous Database, what is the next step that you have to perform?
- A. Connect to the Database
- B. Create a compartment
- C. Create an ML notebook
- D. Create an OML user
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/oml-tour/
NEW QUESTION # 45
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