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質問 # 39
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Google Colab
- B. Jupyter Notebook
- C. Zeppelin Notebook
- D. Polynote
正解：C
解説：
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
質問 # 40
Which three Oracle Machine Learning (OML) components are available with Oracle Autonomous Database?
(Choose three.)
- A. Oracle Data Miner
- B. OML Notebooks
- C. OML4R
- D. OML Services
- E. OML4SQL
正解：B、D、E
解説：
* The three Oracle Machine Learning (OML) components that are available with Oracle Autonomous Database are OML Notebooks, OML4SQL, and OML Services2.
* OML Notebooks are web-based interfaces for data analysis, data discovery, data visualization, and collaboration based on Apache Zeppelin notebook technology. They support SQL, PL/SQL, Python, R,
* and markdown interpreters on Oracle Autonomous Database2.
* OML4SQL is a set of in-database machine learning algorithms and SQL functions that enable data exploration, data preparation, model building, evaluation, and deployment using SQL and PL/SQL on Oracle Autonomous Database2.
* OML Services are RESTful web services that enable users to build, deploy, and manage machine learning models using REST APIs on Oracle Autonomous Database. They support native in-database models and ONNX-format models for classification, regression, and clustering2
質問 # 41
Which of the following is not type of a workspace permission that can be granted to other us-ers?
- A. Contributor
- B. Viewer
- C. Developer
- D. Manager
正解：A
解説：
* 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
質問 # 42
Which two statements are true about Classification algorithms? (Choose two.)
- A. They require known outcomes to guide the learning process.
- B. They extract rules using unsupervised learning.
- C. They assign cases to target categories.
- D. They predict numeric values along a continuum.
正解：A、C
解説：
* Classification algorithms are supervised learning methods that assign cases to target categories based on a set of input features12. For example, a classification algorithm can predict whether an email is spam or not based on its content and sender.
* Classification algorithms require known outcomes to guide the learning process, which means they need labeled data for training and evaluation12. For example, a classification algorithm can learn from a set of emails that are already labeled as spam or not by humans
質問 # 43
In which three use cases are Oracle Machine Learning algorithms suitable? (Choose three.)
- A. Graph analytics
- B. Customer segmentation
- C. Speech recognition
- D. Medical outcome analysis
- E. Anomaly and fraud detection
正解：B、D、E
解説：
* 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.
質問 # 44
In which format is an Oracle Machine Learning Notebooks notebook saved or exported?
- A. custom binary format
- B. XML
- C. JSON
- D. CSV
正解：C
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks.html
質問 # 45
Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?
- A. Provide the user with Autonomous Database client wallet for remote credentials.
- B. Issue grant commands on tables from other schemas to allow access from shared note-books.
- C. Create an OML username and password for the user in the Oracle Machine Learning User Management interface.
- D. Add the user's name and email ID in the Oracle Machine Learning User Management interface.
正解：A
解説：
* The step that is not required to be performed by an administrator when adding a new user to Oracle Machine Learning Notebooks is providing the user with Autonomous Database client wallet for remote credentials.
* 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 interface
質問 # 46
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML AutoML UI
- B. Oracle Data Miner
- C. OML4R
- D. OML Services
- E. OML4SQL
- F. OML4Py
正解：A、F
解説：
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
質問 # 47
You want to analyze the spike in sales during weekends in India (Saturday and Sunday) and also perform a similar analysis for weekends in Dubai (Friday and Saturday). You will be re-using these notebooks in similar situations over time. You do not want to share them with other users. Which template should you use?
- A. Example
- B. Shared
- C. Public
- D. Personal
正解：D
解説：
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493
質問 # 48
Which two templates are supported while saving a notebook? (Choose two.)
- A. Shared
- B. Example
- C. Public
- D. Personal
正解：A、D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html
質問 # 49
Which three types of forms are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Radio form
- B. List form
- C. Text Input form
- D. Check Box form
- E. Select form
正解：C、D、E
解説：
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
質問 # 50
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 support SQL, PL/SQL, JavaScript, and PHP scripting languages.
- C. They enable access to in database implementation of machine learning algorithms.
- D. They enable job scheduling of notebooks on a recurring schedule.
- E. They support integration with Oracle Data Miner-ID
正解：A、C、D
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/
質問 # 51
(PICq21) Examine the output: <PIC>
- A. SET SQLFORMAT LOADER
- B. SET SQLFORMAT DELIMITED
- C. SET SQLFORMAT ANSICONSOLE
- D. SET SQLFORMAT FIXED
正解：A
解説：
Explanation
https://oracle-base.com/articles/misc/sqlcl-format-query-results-with-the-set-sqlformat-command#loader
質問 # 52
Which three are supervised machine learning algorithms? (Choose three.)
- A. Support Vector Machines
- B. Random Forest
- C. Linear Regression
- D. Association rule
- E. K-means clustering
正解：A、B、C
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
質問 # 53
Which three statements are true about Oracle Machine Learning Notebooks? (Choose three.)
- A. It is used to access machine learning algorithms.
- B. It is used to create low-code applications.
- C. It provides a web-based interface for data analysis.
- D. It is used for data preparation and exploration.
- E. It is used to manage and monitor database objects.
正解：A、C、D
解説：
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
質問 # 54
Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks? (Choose two.)
- A. User's name and email ID
- B. Autonomous Database (ADB) name
- C. Privileges to be provided
- D. Wallet information to connect to ADB
- E. OML username and password
正解：A、E
解説：
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le Create User: An administrator creates a new user account and user credentials for Oracle Machine Learning in the User Management interface. Note: You must have the administrator role to access the Oracle Machine Learning User Management interface. To create a user account: Select an Autonomous Da-ta Warehouse instance and on the details page click Service Console. On the Service Console click Administration. Click Manage OML Users to open the Oracle Machine Learning User Administration page. Click Create on the Oracle Machine Learning User Administration page. In the Username field, enter a username for the account.
Using the username, the user will log in to an Oracle Ma-chine Learning instance. Enter a name in the First Name field. Enter a name in the Last Name field. In the Email Address field, enter the email ID of the user.
Select the option Generate password and email account details to user. User will be required to reset the password on first sign in. to auto generate a temporary password and send an email with the account credentials to the user. If you select this option, you need not enter values in the Password and Confirm Password fields; the fields are grayed out. In the Password field, enter a password for the user, if you choose to create a password for the user.This option is disabled if you select the Generate password... option to auto generate a temporary password for the user. In the Confirm Password field, enter a password to confirm the value that you entered in the Password field.By doing so, you create the password for the user. The user can change the password when first logging in. Click Create. This creates a new database user and grants the required privileges to use Oracle Machine Learning.
質問 # 55
What is the correct sequence of creating items in Oracle Machine Learning (OML) Note-books when setting up a new Autonomous Database instance?
- A. Job, Project, Workspace, Notebook
- B. Workspace, OML User, Notebook, Jobs
- C. Notebook, Job, Project, OML User
- D. OML User, Notebook, Job
正解：B
解説：
* 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.
質問 # 56
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