TAKE Oracle Database 1z0-1096-23 PRACTICE QUESTIONS FOR AMAZING RESULTS
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Oracle 1z0-1096-23 Exam Syllabus Topics:
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NEW QUESTION # 17
Which three statements are true about unsupervised machine learning? (Choose three.)
- A. It uses unlabeled data.
- B. There is no previously known result to guide the algorithm in building the model.
- C. It can be used as a preliminary step for supervised algorithms.
- 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 # 18
Which statement is FALSE about Oracle Machine Learning (OML) Notebooks?
- A. 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.
- B. You can share notebooks with Import/Export operations.
- C. You can set the output format in SQL paragraphs of a notebook.
- D. Within notebook paragraphs you can switch between data views of tables, pie charts, bar charts, line plots and scatter plots.
Answer: A
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 # 19
Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks? (Choose two.)
- A. Wallet information to connect to ADB
- B. User's name and email ID
- C. Privileges to be provided
- D. OML username and password
- E. Autonomous Database (ADB) name
Answer: B,D
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 # 20
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. Designer
- B. Developer
- C. Viewer
- D. Manager
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 # 21
Which three Oracle Machine Learning (OML) components are available with Oracle Autonomous Database?
(Choose three.)
- A. OML4R
- B. Oracle Data Miner
- C. OML4SQL
- D. OML Services
- E. OML Notebooks
Answer: C,D,E
Explanation:
* 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
NEW QUESTION # 22
Which of the following is not type of a workspace permission that can be granted to other us-ers?
- A. Contributor
- B. Developer
- C. Viewer
- D. Manager
Answer: A
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 # 23
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?
- A. Oracle SQL Developer Web
- B. SQL*Loader
- C. Expdp
- D. DBMS_Cloud package
Answer: D
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 # 24
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. Example
- D. Personal
Answer: D
Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493
NEW QUESTION # 25
Which category of machine learning algorithms does One-Class SVM fall under?
- A. Regression
- B. Classification
- C. Anomaly Detection
- D. Clustering
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 26
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. Regression
- B. Classification
- C. Clustering
- D. Feature Extraction
Answer: C
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 # 27
You have created an Oracle Machine Learning notebook and want to share it with another collaborator.
However, you do not want to provide the ability to run or modify the notebook in your workspace. Which three options can be used to do this? (Choose three.)
- A. Export the notebook and import it into the other user's project
- B. Share the notebook as a Shared Oracle Machine Learning Template
- C. Provide the user Viewer permission to your workspace
- D. Provide the user Developer permission to your workspace.
Answer: A,B,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/collaborate-oracle-machine-l
NEW QUESTION # 28
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 an error.
- B. It will return a customer's marital status and credit limit grouped by marital status
- C. It will return the marital status and credit limit of each customer.
- D. It will return the median value of customer credit limit grouped by marital status.
Answer: D
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 # 29
You have created a notebook and want to run the notebook on a periodic schedule. How should you achieve this?
- A. You need to contact the database administrator to configure the notebook to run at a particular time.
- B. You can create a job and schedule it to run a specific notebook.
- C. You have to login as the admin user and schedule a job to run the notebook.
- D. You cannot run the notebook on the scheduled time.
Answer: B
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 # 30
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 # 31
A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?
- A. Regression
- B. Clustering
- C. Association Rules
- D. Anomaly Detection
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 32
Which output formats are supported by the SET SQLFORMAT command? (Choose three.)
- A. JSON
- B. HTML
(Correct) - C. CSV
- D. TXT
Answer: A,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/output-formats-supported-set
NEW QUESTION # 33
Which three Oracle Machine Learning (OML) Notebooks capabilities are enabled when an OML user is created with the oml_developer role? (Choose three.)
- A. Save scripts to the Python script repository.
- B. Share notebooks with other OML users.
- C. Transfer OML workspace to other users.
- D. Create and execute OML Notebooks.
Answer: A,B,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 34
Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
- A. Manage any notebook
- B. Reassign user workspace
- C. View notebooks in read-only mode
- D. Run noteboooks
Answer: B,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 35
You are working as an application developer using Oracle Machine Learning Notebooks and want to get your project and notebooks reviewed by a subject matter expert (SME). You granted the Developer permission to the SME on the workspace. Which two actions can be performed by the SME? (Choose two.)
- A. View and run jobs of shared notebooks.
- B. Create new projects.
- C. View, create, run, and update any notebook in the workspace.
- D. Create new workspaces.
- E. Create jobs for shared notebooks.
Answer: C,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/grant-workspace-permissions
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/workspace-permissions.html
NEW QUESTION # 36
Which two statements are true about Classification algorithms? (Choose two.)
- A. They assign cases to target categories.
- B. They require known outcomes to guide the learning process.
- C. They extract rules using unsupervised learning.
- D. They predict numeric values along a continuum.
Answer: A,B
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 # 37
In which format is an Oracle Machine Learning Notebooks notebook saved or exported?
- A. XML
- B. JSON
- C. CSV
- D. custom binary format
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks.html
NEW QUESTION # 38
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