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Oracle 1z0-1096-23 Exam Syllabus Topics:
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NEW QUESTION # 22
Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
- A. View notebooks in read-only mode
- B. Run noteboooks
- C. Manage any notebook
- D. Reassign user workspace
Answer: A,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 23
What is the first step for analyzing data that is external to Oracle Database with Oracle Machine Learning?
- A. Prepare the data.
- B. Create the model.
- C. Deploy the model.
- D. Load the data.
Answer: D
Explanation:
* The first step for analyzing data that is external to Oracle Database with Oracle Machine Learning is to load the data34.
* Loading the data means transferring the external data into Oracle Database tables or views, which can then be accessed by Oracle Machine Learning tools and functions. Loading the data can be done by using various methods, such as SQL*Loader, Data Pump, External Tables, or Oracle Database Gateway34.
* Loading the data is necessary because Oracle Machine Learning operates on data that is stored inside Oracle Database. By loading the external data into Oracle Database, users can leverage the benefits of in-database analytics, such as scalability, performance, security, and integration34.
NEW QUESTION # 24
When running which type of code must you use %script in Oracle Machine Learning Note-books?
- A. JavaScript
- B. PL/SQL script
- C. SQL script
- D. JSON script
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-scratchpad.html
NEW QUESTION # 25
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Zeppelin Notebook
- B. Jupyter Notebook
- C. Polynote
- D. Google Colab
Answer: A
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 # 26
For which two types of notebooks can you schedule a job? (Choose two.)
- A. Notebooks shared with you
- B. Notebooks under Personal templates
- C. Notebooks owned by you
- D. Notebooks under Shared templates
Answer: A,C
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 # 27
(PICq21) Examine the output: <PIC>
- A. SET SQLFORMAT FIXED
- B. SET SQLFORMAT ANSICONSOLE
- C. SET SQLFORMAT LOADER
- D. SET SQLFORMAT DELIMITED
Answer: C
Explanation:
Explanation
https://oracle-base.com/articles/misc/sqlcl-format-query-results-with-the-set-sqlformat-command#loader
NEW QUESTION # 28
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML AutoML UI
- B. OML4SQL
- C. OML Services
- D. OML4Py
- E. Oracle Data Miner
- F. OML4R
Answer: A,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 # 29
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. Personal
- C. Public
- D. Shared
Answer: B
Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493
NEW QUESTION # 30
Which three SQL commands are restricted in an Autonomous Database?
- A. Alter Profile
- B. Alter Table
- C. Alter Tablespace
- D. Create Table
- E. Create Tablespace
Answer: A,C,E
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/autonomous-sql-commands.html
NEW QUESTION # 31
Which two types of permissions allow you tables and run any script on an owner's account? (Choose two.)
- A. Manager
- B. Developer
- C. Guest
- D. Viewer
Answer: A,B
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 # 32
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. You can share notebooks with Import/Export operations.
- D. Within notebook paragraphs you can switch between data views of tables, pie charts, bar charts, line plots and scatter plots.
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 # 33
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 # 34
You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others. Which three algorithms can you use to produce such a model with Oracle Machine Learning? (Choose three.)
- A. One-Class Support Vector Machine
- B. Generalized Linear Model (Regression)
- C. Explicit Semantic Analysis
- D. Support Vector Machine (Regression)
- E. Neural Networks (Regression)
- F. Generalized Linear Model (Classification)
Answer: B,D,E
Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493 This is from Oracle Course : Using Oracle Machine Learning with Autonomous Database Regression is a supervised learning technique used when the output attribute is a continuous numerical value, for example, the price of a property based on the attributes of the property and its locality, the humidity of an area, and so on.
Here is a list of all the algorithms offered by Oracle Machine Learning. Unsupervised learning does not involve direct control from the developer. In terms of defining an output attribute, the output attribute is a dependent attribute. And as there is no output attribute in unsupervised learning, there is no distinction between dependent and independent attributes.
NEW QUESTION # 35
You have created a notebook and want to run the notebook on a periodic schedule. How should you achieve this?
- A. You have to login as the admin user and schedule a job to run the notebook.
- B. You need to contact the database administrator to configure the notebook to run at a particular time.
- C. You cannot run the notebook on the scheduled time.
- D. You can create a job and schedule it to run a specific notebook.
Answer: D
Explanation:
Explanation
Jobs allow you to schedule the running of notebooks. In the Jobs page, you can create jobs, duplicate jobs, start and stop jobs, delete jobs, and monitor job status by viewing job logs, which are read-only notebooks.
About Jobs. The Jobs page lists all the jobs created, along with the job name, notebook, owner of the job, last start date, next run date, status, and schedule. Create Jobs to Schedule Notebooks You can create jobs to schedule your notebook with preferred scheduling set-tings. View Job Logs You can view the historical logs of any particular job in the Job Log interface. About Jobs The Jobs page lists all the jobs created, along with the job name, notebook, owner of the job, last start date, next run date, status, and schedule.
NEW QUESTION # 36
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 Failure Allowed
- B. Timeout in Minutes
- C. Maximum Number of Runs
- D. Minimum Failure Allowed
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-jobs.html#GUID-
NEW QUESTION # 37
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: C
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 # 38
How can you share a notebook with multiple developers for a collaborative effort with note-book editing?
- A. You create different notebooks, edit separately, and merge later.
- B. You can share notebooks if you have Developer permissions.
- C. You can share notebooks if you have Viewer permissions.
- D. Notebooks cannot be shared for collaborating with other users.
Answer: B
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 # 39
Which three Oracle Machine Learning (OML) Notebooks capabilities are enabled when an OML user is created with the oml_developer role? (Choose three.)
- A. Create and execute OML Notebooks.
- B. Save scripts to the Python script repository.
- 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 # 40
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 a customer's marital status and credit limit grouped by marital status
- B. It will return the marital status and credit limit of each customer.
- C. It will return the median value of customer credit limit grouped by marital status.
- D. It will return an error.
Answer: C
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 # 41
Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks? (Choose two.)
- A. OML username and password
- B. Autonomous Database (ADB) name
- C. User's name and email ID
- D. Privileges to be provided
- E. Wallet information to connect to ADB
Answer: A,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 # 42
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