Real Oracle 1z0-1096-23 Exam Dumps with Correct 73 Questions and Answers [Q12-Q27]

Real Oracle 1z0-1096-23 Exam Dumps with Correct 73 Questions and Answers

Valid 1z0-1096-23 Test Answers & Oracle 1z0-1096-23 Exam PDF

Oracle 1z0-1096-23 Exam Syllabus Topics:

NEW QUESTION # 12
Which three are supervised machine learning algorithms? (Choose three.)

• A. Linear Regression
• B. Random Forest
• C. Support Vector Machines
• D. K-means clustering
• E. Association rule

Answer: A,B,C

Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm

NEW QUESTION # 13
What are three key features of Oracle Machine Learning Notebooks? (Choose three.)

• A. They provide a collaborative notebook interface on Oracle Autonomous Database.
• B. They enable job scheduling of notebooks on a recurring schedule.
• C. They support integration with Oracle Data Miner-ID
• D. They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
• E. They enable access to in database implementation of machine learning algorithms.

Answer: A,B,E

Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/

NEW QUESTION # 14
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 output columns with fixed-width columns with data enclosed in double quotation marks.
• C. It formats the output columns to Add ANSI characters as the delimiter string.
• 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 # 15
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. Create a notebook with auto-generated OML4Py code from an OML in-database mod-el to allow for further model tweaking and batch scoring.
• C. Review the model statistics associated with the experiment of an OML in-database model.
• D. Deploy an OML in-database model to a REST endpoint.
• E. Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.

Answer: B,C,D

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 # 16
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. Provide the user Viewer permission to your workspace
• B. Export the notebook and import it into the other user's project
• C. Share the notebook as a Shared Oracle Machine Learning Template
• 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 # 17
When managing models using the Model Repository screen from the OML AutoML UI, what are the four operations a user can do to models and model deployments? (Choose four.)

• A. Change the owner of a previously deployed OML in-database model.
• B. Change the namespace of a previously deployed OML in-database model.
• C. Delete an existing OML in-database model.
• D. Deploy an existing Oracle Machine Learning in-database model as a REST endpoint in OML Services.
• E. Undeploy a previously deployed OML in-database model.
• F. Change the deployment date of a previously deployed OML in-database model.

Answer: B,C,D,E

Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493

NEW QUESTION # 18
Which two statements are true about supervised machine learning? (Choose two.)

• A. There is no previously known result to guide the algorithm in building the model.
• B. It does not specify a target, it can be applied to a population of interest.
• C. It is used to extract meaningful insights from raw data to improve data operational efficiency.
• D. The learning process is directed by a previously known dependent attribute or target.
• E. It generally results in predictive models.

Answer: D,E

Explanation:
Explanation
https://docs.oracle.com/cd/F32587_01/dmcon/oracle-machine-learning-sql-concepts.pdf

NEW QUESTION # 19
In which three use cases are Oracle Machine Learning algorithms suitable? (Choose three.)

• A. Medical outcome analysis
• B. Customer segmentation
• C. Speech recognition
• D. Graph analytics
• E. Anomaly and fraud detection

Answer: A,B,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 # 20
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. OML User, Notebook, Job
• C. Job, Project, Workspace, Notebook
• D. Workspace, OML User, Notebook, Jobs

Answer: D

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 # 21
Which type of machine learning algorithm is used to deal with noise in incoming data?

• A. Dimensionality Reduction
• B. Classification
• C. Regression
• D. Clustering

Answer: A

Explanation:
Explanation
https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction

NEW QUESTION # 22
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)

• A. Autonomous Dedicated Infrastructure
• B. Autonomous Data Warehouse
• C. Oracle Application Express
• D. Autonomous Transaction Processing
• E. Autonomous JSON Database

Answer: B,D,E

Explanation:
Explanation
Oracle Machine Learning Notebooks Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Note-books support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. View interactive product tour Oracle Machine Learning Notebooks with Autonomous Data Warehouse documentation Oracle Machine Learning Notebooks with Autonomous Transaction Processing documentation Oracle Ma-chine Learning Notebooks with Autonomous JSON Database documentation

NEW QUESTION # 23
A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?

• A. Clustering
• B. Anomaly Detection
• C. Regression
• D. Association Rules

Answer: A

Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid

NEW QUESTION # 24
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. Manager
• C. Developer
• D. Viewer

Answer: 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: 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 # 25
Which three are unsupervised machine learning algorithms? (Choose three.)

• A. K-means clustering
• B. Logistical Regression
• C. Random Forest
• D. Principal Component Analysis
• E. Naive Bayes
• F. Association rule

Answer: A,D,F

Explanation:
Explanation
Unsupervised machine learning uses a more independent approach, in which a computer learns to identify complex processes and patterns without a human providing close, constant guidance. Un-supervised machine learning involves training based on data that does not have labels or a specific, defined output. To continue the childhood teaching analogy, unsupervised machine learning is akin to a child learning to identify fruit by observing colors and patterns, rather than memorizing the names with a teacher's help. The child would look for similarities between images and separate them into groups, assigning each group its own new label.
Examples of unsupervised machine learning algorithms include k-means clustering, principal and independent component analysis, and association rules.

NEW QUESTION # 26
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 an error.
• D. It will return a customer's marital status and credit limit grouped by marital status

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 # 27
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