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NEW QUESTION # 39
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?
- A. Algorithm selection, Feature selection. Model tuning
- B. Model tuning. Algorithm selection. Feature selection
- C. Model selection, Algorithm selection
- D. Model selection, Algorithm selection
Answer: A
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 40
A user with Developer permission is trying to create a job on an existing notebook that is shared. However, the user is unable to do so. What is the reason?
- A. The user requires the Create Job role.
- B. The specified job already exists.
- C. A developer cannot create jobs for notebooks that are shared.
- D. The notebook contains code with syntax errors, which need to be corrected first.
Answer: A
Explanation:
* The reason why a user with Developer permission is unable to create a job on an existing notebook that is shared is that the user requires the Create Job role1.
* The Create Job role is a database role that grants the privilege to create and manage jobs on Oracle Machine Learning Notebooks. This role is not granted by default to any user, including the ADMIN user. An administrator needs to explicitly grant this role to users who need to create jobs1
NEW QUESTION # 41
Which two Oracle Cloud services are Integrated with Oracle Machine Learning? (Choose two.)
- A. Oracle Analytics Cloud
- B. Oracle Stream Analytics
- C. Oracle Autonomous Database
- D. Oracle GoldenGate
Answer: A,C
Explanation:
* Oracle Analytics Cloud and Oracle Autonomous Database are two Oracle Cloud services that are integrated with Oracle Machine Learning12.
* Oracle Analytics Cloud is a comprehensive cloud service that provides a unified platform for data preparation, analysis, visualization, and machine learning. It supports Oracle Machine Learning Notebooks, which enable data scientists and other data professionals to work collaboratively using SQL, PL/SQL, Python, and R1.
* Oracle Autonomous Database is a self-driving, self-securing, and self-repairing cloud service that supports various workloads such as data warehousing, transaction processing, and JSON document storage. It includes Oracle Machine Learning Services, which enable users to build, deploy, and manage machine learning models using REST APIs2.
NEW QUESTION # 42
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML4SQL
- B. OML AutoML UI
- C. Oracle Data Miner
- D. OML Services
- E. OML4Py
- F. OML4R
Answer: B,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 # 43
Which machine learning algorithm allows the system to identify patterns within data sets on its own?
- A. Semi-supervised Learning
- B. Reinforcement Learning
- C. Unsupervised Learning
- D. Supervised Learning
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 44
A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?
- A. Anomaly Detection
- B. Clustering
- C. Regression
- D. Association Rules
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 45
Which statement is FALSE about OML Notebooks?
- A. An existing database user cannot be added as an OML user using the User Management Interface.
- B. The administrator is not authorized to run notebooks.
- C. You must have the Administrator role to access the compute resources page.
- D. You must have the Administrator role to access the OML User Management Interface.
Answer: A
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 # 46
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. Shared Notebook
- C. Public Notebook
- D. Personal Notebook
Answer: B
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 # 47
You are creating a job that should run a notebook every hour. You want to make sure that the job does not run repeatedly if there are more than five consecutive failures to run the job. Which option should you set while creating the job?
- A. Maximum Number of Runs
- B. Maximum Failure Allowed
- C. Minimum Failure Allowed
- D. Timeout in Minutes
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-jobs.html#GUID-
NEW QUESTION # 48
Which statement is FALSE about Oracle Machine Learning (OML) Notebooks?
- A. You can share notebooks with Import/Export operations.
- B. When visualizing a 1 million row database data using the built-in Zeppelin visualizers, OML will by default display the results on the entire table.
- C. Within notebook paragraphs you can switch between data views of tables, pie charts, bar charts, line plots and scatter plots.
- D. You can set the output format in SQL paragraphs of a notebook.
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-oracle-machine-le Typical Workflow For Using Notebooks To begin with Oracle Machine Learning Notebooks, refer to the tasks listed in the table as a guide. TasksMore InformationAccess Oracle Machine Learning Note-booksAccess Oracle Machine LearningCreate workspacesCreate Projects and WorkspacesCreate projectsCreate Projects and WorkspacesCreate notebooksCreate a NotebookRun a Notebook with Python InterpreterRun a Notebook with Python InterpreterUse the ScratchpadUse the Scratchpad-Create jobs to schedule notebooksCreate Jobs to Schedule Notebook
NEW QUESTION # 49
Which is a FALSE statement regarding Oracle Machine Learning (OML)?
- A. OML provides scalable statistical functions though OML4Py and OML4R.
- B. OML provides univariate and multivariate statistics.
- C. OML provides integration with open source Python and R statistical analysis functions.
- D. OML offerings need a separate data visualization tool for creating visualization.
Answer: D
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 # 50
Which three statements are true about unsupervised machine learning? (Choose three.)
- A. It analyzes cases where the target value is already known.
- B. It uses unlabeled data.
- C. It can be used as a preliminary step for supervised algorithms.
- D. There is no previously known result to guide the algorithm in building the model.
Answer: B,C,D
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 # 51
Which category of machine learning algorithms does One-Class SVM fall under?
- A. Classification
- B. Clustering
- C. Regression
- D. Anomaly Detection
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 52
How can you share a notebook with multiple developers for a collaborative effort with note-book editing?
- A. You can share notebooks if you have Viewer permissions.
- B. You create different notebooks, edit separately, and merge later.
- C. Notebooks cannot be shared for collaborating with other users.
- D. You can share notebooks if you have Developer permissions.
Answer: D
Explanation:
Explanation
You can also collaborate by exporting your notebook as a JSON or JavaScript Object Notation file. This exported file can be imported into the same or different environment. To export a notebook as a JSON file, open the notebook in the notebook editor, click on the Export icon. A Save As dialog will open where you can specify the name of the JSON file and location on your system.
NEW QUESTION # 53
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. Classification
- B. Clustering
- C. Regression
- D. Feature Extraction
Answer: B
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 # 54
Which step in the AutoML pipeline involves reducing the size of the large data set into a small-er data set that adequately represents the original?
- A. Model Selection
- B. Hyperparameter Tuning
- C. Feature Selection
- D. Algorithm Selection
- E. Adaptive Sampling
Answer: E
Explanation:
Explanation
https://oralytics.com/2021/03/15/oml4py-automl-an-example/
NEW QUESTION # 55
When running which type of code must you use %script in Oracle Machine Learning Note-books?
- A. JSON script
- B. SQL script
- C. JavaScript
- D. PL/SQL script
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-scratchpad.html
NEW QUESTION # 56
Which three SQL commands are restricted in an Autonomous Database?
- A. Alter Profile
- B. Alter Table
- C. Alter Tablespace
- D. Create Tablespace
- E. Create Table
Answer: A,C,D
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/autonomous-sql-commands.html
NEW QUESTION # 57
Which three types of forms are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Text Input form
- B. Check Box form
- C. List form
- D. Radio form
- E. Select form
Answer: A,B,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 # 58
To navigate to a specific notebook provided by another user, which is the correct workflow?
- A. Change user > Open notebook > Create project
- B. Change project > Change workspace > Open notebook
- C. Create user > Change workspace > Open notebook
- D. Select workspace > Select project > List notebooks > Open notebook
Answer: D
Explanation:
Explanation
https://apexapps.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=891&clear=180&session=109742845
NEW QUESTION # 59
You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past. Which machine learning technique should you use to achieve this?
- A. Classification
- B. Regression
- C. Feature Extraction
- D. Attribute Importance
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/using-oracle-machine-learnin OML4Py Attribute Importance: Use this template notebook to identify key attributes that have maximum influence over the target attribute. The target attribute in the build data of a supervised model is the attribute that you want to predict. The template builds an Attribute Importance model using the SH schema data.
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpar/ Attribute Importance class oml.ai(model_name=None, model_owner=None, **params) In-database Attribute Importance Model Computes the relative importance of variables (aka attributes or columns) when predicting a target variable (numeric or categorical column). This function exposes the corresponding Oracle Ad-vanced Analytics in-database algorithm. Oracle Advanced Analytics does not support the predic-tion functions for attribute importance. The results of attribute importance are the attributes of the build data ranked according to their predictive influence. The ranking and the measure of im-portance can be used for selecting attributes.
Attributes importance : oml.DataFrame Relative im-portance of predictor variables for predicting a response variable. It includes the following compo-nents: * variable: The name of the predictor variable * importance:
The importance of the predictor variable * rank: The predictor variable rank based on the importance value.
NEW QUESTION # 60
Which three statements are true about Oracle Machine Learning Notebooks? (Choose three.)
- A. It is used to create low-code applications.
- B. It provides a web-based interface for data analysis.
- C. It is used for data preparation and exploration.
- D. It is used to manage and monitor database objects.
- E. It is used to access machine learning algorithms.
Answer: B,C,E
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 61
Which is NOT a supervised learning algorithm?
- A. Decision Tree
- B. Hierarchical K-Means
- C. Native Bayes
- D. Support Vector Machines
- E. Stepwise Linear Regression
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
NEW QUESTION # 62
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