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NEW QUESTION # 20
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?
- A. Oracle SQL Developer Web
- B. DBMS_Cloud package
- C. Expdp
- D. SQL*Loader
Answer: B
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 # 21
Which two statements are true about OML AutoML UI? (Choose two.)
- A. 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.
- 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. An Experiment can be run with two possible options: Faster Results or Better Accuracy.
- D. Automates key modeling steps such as algorithm selection, feature selection, and hyperparameter tuning.
Answer: C,D
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 # 22
Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?
- A. Issue grant commands on tables from other schemas to allow access from shared note-books.
- B. Add the user's name and email ID in the Oracle Machine Learning User Management interface.
- C. Create an OML username and password for the user in the Oracle Machine Learning User Management interface.
- D. Provide the user with Autonomous Database client wallet for remote credentials.
Answer: D
Explanation:
* 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
NEW QUESTION # 23
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 # 24
Which three data sources can be immediately used for model building in Oracle Machine Learning? (Choose three.)
- A. JSON files
- B. Oracle Database views
- C. Oracle Database External tables
- D. Oracle Database tables
- E. CSV files
Answer: A,D,E
Explanation:
Explanation
The three data sources that can be immediately used for model building in Oracle Machine Learning are:
Oracle Database tables: Oracle Machine Learning can directly access and use data from tables within an Oracle Database for model building. This allows for efficient utilization of the database's structured data for machine learning tasks. Oracle Database views: Similar to tables, Oracle Machine Learning can also utilize data from database views. Views provide a virtual representation of the data, allowing users to access and analyze specific subsets or transformations of the underlying tables. CSV files: Oracle Machine Learning supports the use of CSV (Comma-Separated Values) files as a data source for model building. CSV files provide a simple and widely-used format for storing tabular data, making it easy to import and use within Oracle Machine Learning. Therefore, the correct options are: Oracle Database tables Oracle Database views CSV files
NEW QUESTION # 25
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. Personal Notebook
- B. Shared Notebook
- C. Example notebook
- D. Public 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 # 26
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. Shared
- B. Public
- C. Personal
- D. Example
Answer: C
Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493
NEW QUESTION # 27
Examine the SQL command: SQL> SELECT
CUST_MARITAL_STATUS,MEDIAN(CUST_CREDIT_LIMIT) FROM SH.CUSTOMERS GROUP BY CUST_MARITAL_STATUS; Which statement is true about running this command where the table has columns cust_maritax._status3 (VARCHAR2) and cust_credit_limit (number) with 100k rows of non-null data?
- A. It will return the median value of customer credit limit grouped by marital status.
- B. It will return the marital status and credit limit of each customer.
- C. It will return a customer's marital status and credit limit grouped by marital status
- D. It will return an error.
Answer: A
Explanation:
* Running this command will return the median value of customer credit limit grouped by marital status2.
* The MEDIAN function is an aggregate function that returns the middle value of a numeric column for each group or partition. If the number of values is even, it returns the average of the two middle values2.
* The GROUP BY clause is used to divide the rows of a table into groups that have the same values in the specified columns. The aggregate functions are applied to each group separately and the result is returned for each group3.
NEW QUESTION # 28
Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database? (Choose four.)
- A. It provides a collaborative web-based notebook interface.
- B. It provides a development environment to build models and score data.
- C. It provides an interface to monitor a database.
- D. It includes parallelized in-database algorithms.
- E. It is deployed with Oracle Data Miner.
- F. It enables data analytics, data discovery, and data visualizations.
Answer: A,B,D,F
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/autonomous-oml.html#GUID-63F2D68B-6D
NEW QUESTION # 29
Which is NOT a supervised learning algorithm?
- A. Native Bayes
- B. Stepwise Linear Regression
- C. Support Vector Machines
- D. Decision Tree
- E. Hierarchical K-Means
Answer: E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
NEW QUESTION # 30
Which three types of templates are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Example templates
- B. Custom templates
- C. Shared templates
- D. Personal templates
- E. Public templates
Answer: A,C,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-library-collaborate-users
NEW QUESTION # 31
In which three use cases are Oracle Machine Learning algorithms suitable? (Choose three.)
- A. Graph analytics
- B. Speech recognition
- C. Anomaly and fraud detection
- D. Medical outcome analysis
- E. Customer segmentation
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 # 32
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: A
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 # 33
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 ONNX-format (Open Neural Networks Exchange) model.
- C. Deploy an OML in-database model to a REST endpoint.
- D. Review the model statistics associated with the experiment of an OML in-database 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: C,D,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 # 34
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. The notebook contains code with syntax errors, which need to be corrected first.
- D. A developer cannot create jobs for notebooks that are shared.
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 # 35
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML4SQL
- B. Oracle Data Miner
- C. OML4Py
- D. OML AutoML UI
- E. OML Services
- F. OML4R
Answer: C,D
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 type of machine learning algorithm is used to deal with noise in incoming data?
- A. Dimensionality Reduction
- B. Classification
- C. Clustering
- D. Regression
Answer: A
Explanation:
Explanation
https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction
NEW QUESTION # 37
(PICq21) Examine the output: <PIC>
- A. SET SQLFORMAT DELIMITED
- B. SET SQLFORMAT LOADER
- C. SET SQLFORMAT FIXED
- D. SET SQLFORMAT ANSICONSOLE
Answer: B
Explanation:
Explanation
https://oracle-base.com/articles/misc/sqlcl-format-query-results-with-the-set-sqlformat-command#loader
NEW QUESTION # 38
Which type of user has access to the Oracle Machine Learning User Management interface?
- A. Guest
- B. Administrator
- C. Developer
- D. Manager
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/access-autonomous-database.htm
NEW QUESTION # 39
Which statement is FALSE about Oracle Machine Learning (OML) Notebooks?
- A. You can set the output format in SQL paragraphs of a notebook.
- 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 share notebooks with Import/Export operations.
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 # 40
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. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
- 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.
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 # 41
Which three statements are true about Oracle Machine Learning Notebooks? (Choose three.)
- A. It is used for data preparation and exploration.
- B. It is used to manage and monitor database objects.
- C. It provides a web-based interface for data analysis.
- D. It is used to access machine learning algorithms.
- E. It is used to create low-code applications.
Answer: A,C,D
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 42
Which two templates are supported while saving a notebook? (Choose two.)
- A. Public
- B. Personal
- C. Shared
- D. Example
Answer: B,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html
NEW QUESTION # 43
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