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NEW QUESTION # 43
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. Public
- B. Example
- C. Personal
- D. Shared
Answer: C
Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493
NEW QUESTION # 44
Which of the following is not type of a workspace permission that can be granted to other us-ers?
- A. Manager
- B. Contributor
- C. Viewer
- D. Developer
Answer: B
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 # 45
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?
- A. DBMS_Cloud package
- B. Oracle SQL Developer Web
- C. Expdp
- D. SQL*Loader
Answer: A
Explanation:
Explanation
About Data Loading: Autonomous Database provides the following loading options: You can load data using Oracle Database Actions. You can load data using Oracle Database tools and Oracle or other 3rd party data integration tools. On transaction processing systems you traditionally ingest data through routine transactions or with DML operations. In general you load data from files local to your client computer or from files stored in a cloud-based object store. To load data from files in the cloud, use either Oracle Database Actions or use the Autonomous Database PL/SQL package DBMS_CLOUD to load files from the cloud. For the fastest data loading experience Oracle recommends uploading the source files to a cloud-based object store, such as Oracle Cloud Infrastructure Object Storage, before loading the data into your database. Oracle provides support for loading files that are located locally in your data center, but when using this method of data loading you should factor in the transmission speeds across the Internet which may be significantly slower. For more information on Oracle Cloud Infrastructure Object Storage, see Putting Data into Object Storage and Overview of Object Storage. Note: If you are not using ADMIN user, ensure the user has the necessary privileges for the operations the user needs to perform. See Manage User Privileges on Autonomous Database - Connecting with a Client Tool for more information.
NEW QUESTION # 46
In which format is an Oracle Machine Learning Notebooks notebook saved or exported?
- A. JSON
- B. custom binary format
- C. CSV
- D. XML
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks.html
NEW QUESTION # 47
Which machine learning algorithm allows the system to identify patterns within data sets on its own?
- A. Unsupervised Learning
- B. Semi-supervised Learning
- C. Supervised Learning
- D. Reinforcement Learning
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 48
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. Create an ML notebook
- B. Connect to the Database
- C. Create a compartment
- D. Create an OML user
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/oml-tour/
NEW QUESTION # 49
You want to segment your customer data for marketing reseach purposes and identify homogeneous groups to build supervised models. What should you use to achieve this?
- A. Clustering
- B. Regression
- C. Feature Extraction
- D. Classification
Answer: A
Explanation:
* To segment your customer data for marketing research purposes and identify homogeneous groups to build supervised models, you should use clustering12.
* Clustering is a type of unsupervised machine learning that groups data points based on their similarities in terms of features or attributes. Clustering can help discover the underlying structure of the data and reveal the natural segments or categories within it12.
* Clustering can be useful for marketing research because it can help identify different types of customers based on their demographics, preferences, behaviors, or needs. Clustering can also help create customer profiles or personas that can be used to target specific segments with tailored marketing campaigns or offers12.
* Clustering can also be used as a preliminary step for building supervised models, such as classification or regression. By using the cluster labels as an additional feature or a target variable, supervised models can learn from the cluster information and improve their accuracy or performance12.
NEW QUESTION # 50
Examine the command: %script SET SQLFORMAT ANSICONSOLE What is the output of a query if this SQLFORMAT is set?
- A. It formats and resizes the output columns to the width of the data to save space.
- B. It formats the output columns to Add ANSI characters as the delimiter string.
- C. It formats output columns with fixed-width columns with data enclosed in double quotation marks.
- D. It formats the output columns to return ANSI characters.
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/omlug/output-formats-supported-set-sq
NEW QUESTION # 51
You have created a workspace in Oracle Machine Learning Notebooks and want to share it with collaborators by granting permissions to access your workspace. You want to enable other users to run and modify your notebooks but do not want to provide the ability to schedule jobs that run your notebooks. Which permission type should be granted to this user?
- A. Manager
- B. Developer
- C. Viewer
- D. Designer
Answer: B
Explanation:
Explanation
About Workspace Permission Types: Oracle Machine Learning allows three types of permissions. Depending on the permission type, you can allow the user to view or perform different tasks in your workspace, projects, and notebooks. The three types of permissions are listed in the following table along with the actions that are allowed. Permission Types || Actions based on permission > Manager: * Project: Create, update, delete. * Workspace: View only. * Notebooks: Create, update, run, delete, and schedule jobs. > Developer: * Project:
View only. * Workspace: View only. * Notebooks: Create, update, run, and delete notebooks that a developer creates only. * Jobs: View and run jobs of shared notebooks only. A developer cannot create jobs for notebooks that are shared. > Viewer: * Project: View only. * Workspace: View only. * Notebooks: View only. * Jobs: View jobs and job runs of shared notebooks only.
NEW QUESTION # 52
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. 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.
- C. Automates key modeling steps such as algorithm selection, feature selection, and hyperparameter tuning.
- D. When creating a notebook from an experiment-produced Model, the top algorithm in the Leader Board is automatically selected and converted to OML4Py code.
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 # 53
Which is a FALSE statement regarding Oracle Machine Learning (OML)?
- A. OML provides integration with open source Python and R statistical analysis functions.
- B. OML provides scalable statistical functions though OML4Py and OML4R.
- C. OML offerings need a separate data visualization tool for creating visualization.
- D. OML provides univariate and multivariate statistics.
Answer: C
Explanation:
* A false statement regarding Oracle Machine Learning (OML) is that OML offerings need a separate data visualization tool for creating visualization56.
* OML does not need a separate data visualization tool for creating visualization because it provides various options for visualizing data and models within its offerings. For example, OML Notebooks support interactive charts and graphs using Plotly and Matplotlib libraries for Python and R.
OML SQL also supports native SQL functions for creating histograms, scatter plots, box plots, and more
NEW QUESTION # 54
Which two statements are true about Classification algorithms? (Choose two.)
- A. They require known outcomes to guide the learning process.
- B. They predict numeric values along a continuum.
- C. They assign cases to target categories.
- D. They extract rules using unsupervised learning.
Answer: A,C
Explanation:
* 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
NEW QUESTION # 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. Notebook, Job, Project, OML User
- B. Job, Project, Workspace, Notebook
- C. Workspace, OML User, Notebook, Jobs
- D. OML User, Notebook, Job
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 # 56
Which type of machine learning algorithm is used to deal with noise in incoming data?
- A. Clustering
- B. Regression
- C. Classification
- D. Dimensionality Reduction
Answer: D
Explanation:
Explanation
https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction
NEW QUESTION # 57
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML4SQL
- B. OML AutoML UI
- C. OML4Py
- D. OML4R
- E. OML Services
- F. Oracle Data Miner
Answer: B,C
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 # 58
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. Administrator
- C. Developer
- D. Guest
- E. Viewer
Answer: A,C,E
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 # 59
(PICq21) Examine the output: <PIC>
- A. SET SQLFORMAT LOADER
- B. SET SQLFORMAT FIXED
- C. SET SQLFORMAT DELIMITED
- D. SET SQLFORMAT ANSICONSOLE
Answer: A
Explanation:
Explanation
https://oracle-base.com/articles/misc/sqlcl-format-query-results-with-the-set-sqlformat-command#loader
NEW QUESTION # 60
What is the proper workflow for analyzing data in Oracle Machine Learning?
- A. Evaluate the model, prepare the data, build the model, and deploy the model.
- B. Build the model, prepare the data, evaluate the model, and deploy the model.
- C. Prepare the data, build the model, evaluate the model, and deploy the model.
- D. Get predictions from the model, prepare the data, build the model, and deploy the model.
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/process-overview.html#GUID-A6 Process Overview: The lifecycle of a machine learning project is divided into six phases. The process begins by defining a business problem and restating the business problem in terms of a machine learning objective.
The end goal of a machine learning process is to produce accurate results for solving your business problem.
Workflow: The machine learning process workflow illustration is based on the CRISP-DM method-ology.
Each stage in the workflow is illustrated with points that summarize the key tasks. The CRISP-DM methodology is the most commonly used methodology for machine learning. The following are the phases of the machine learning process: Define business goals Understand data Pre-pare data Develop models Evaluate Deploy
NEW QUESTION # 61
Which statement is FALSE about OML Notebooks?
- A. You must have the Administrator role to access the OML User Management Interface.
- B. The administrator is not authorized to run notebooks.
- C. An existing database user cannot be added as an OML user using the User Management Interface.
- D. You must have the Administrator role to access the compute resources page.
Answer: C
Explanation:
* A false statement about OML Notebooks is that an existing database user cannot be added as an OML user using the User Management Interface2.
* An existing database user can be added as an OML user using the User Management Interface by entering the existing database username and password in the Create User dialog box. This will enable the existing database user to access OML Notebooks without creating a new schema2.
NEW QUESTION # 62
Which type of user has access to the Oracle Machine Learning User Management interface?
- A. Manager
- B. Guest
- C. Administrator
- D. Developer
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/access-autonomous-database.htm
NEW QUESTION # 63
Which output formats are supported by the SET SQLFORMAT command? (Choose three.)
- A. JSON
- B. CSV
- C. TXT
- D. HTML
(Correct)
Answer: A,B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/output-formats-supported-set
NEW QUESTION # 64
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 ONNX-format image classification model.
- B. Review the model statistics associated with the experiment of an OML in-database model.
- C. Deploy an OML in-database model to a REST endpoint.
- D. Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.
- E. Create a notebook with auto-generated OML4Py code from an OML in-database mod-el to allow for further model tweaking and batch scoring.
Answer: B,C,E
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 # 65
For which two types of notebooks can you schedule a job? (Choose two.)
- A. Notebooks under Shared templates
- B. Notebooks shared with you
- C. Notebooks under Personal templates
- D. Notebooks owned by you
Answer: B,D
Explanation:
Explanation
About Workspace Permission Types: Oracle Machine Learning allows three types of permissions. Depending on the permission type, you can allow the user to view or perform different tasks in your workspace, projects, and notebooks. The three types of permissions are listed in the following table along with the actions that are allowed. Permission Types || Actions based on permission > Manager: * Project: Create, update, delete. * Workspace: View only. * Notebooks: Create, update, run, delete, and schedule jobs. > Developer: * Project:
View only. * Workspace: View only. * Notebooks: Cre-ate, update, run, and delete notebooks that a developer creates only. * Jobs: View and run jobs of shared notebooks only. A developer cannot create jobs for notebooks that are shared. > Viewer: * Project: View only. * Workspace: View only. * Notebooks: View only. * Jobs: View jobs and job runs of shared notebooks only.
NEW QUESTION # 66
Which three statements are true about unsupervised machine learning? (Choose three.)
- A. It can be used as a preliminary step for supervised algorithms.
- B. There is no previously known result to guide the algorithm in building the model.
- C. It uses unlabeled data.
- D. It analyzes cases where the target value is already known.
Answer: A,B,C
Explanation:
* Unsupervised machine learning is a type of machine learning in which algorithms learn patterns exclusively from unlabeled data34. Unsupervised learning algorithms discover hidden structures or groupings in the data without any supervision or guidance from human experts34.
* Three statements that are true about unsupervised machine learning are:
* There is no previously known result to guide the algorithm in building the model. Unsupervised learning algorithms do not have any predefined target variable or outcome to optimize. They rely on the intrinsic properties of the data to find meaningful patterns or clusters34.
* It can be used as a preliminary step for supervised algorithms. Unsupervised learning algorithms can be useful for exploratory data analysis, feature extraction, dimensionality reduction, or data preprocessing before applying supervised learning algorithms34.
* It uses unlabeled data. Unsupervised learning algorithms do not require any labeled data or annotations to learn from. They can work with raw or unstructured data such as text, images, audio, or video34.
NEW QUESTION # 67
Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks? (Choose two.)
- A. Privileges to be provided
- B. User's name and email ID
- C. OML username and password
- D. Autonomous Database (ADB) name
- E. Wallet information to connect to ADB
Answer: B,C
Explanation:
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.
NEW QUESTION # 68
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