[May-2024] Latest Oracle 1z0-1096-23 exam dumps and online Test Engine
Oracle 1z0-1096-23: Selling Oracle Database Products and Solutions
Oracle 1z0-1096-23 Exam Syllabus Topics:
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NEW QUESTION # 43
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. Viewer
- B. Manager
- C. Developer
- D. Designer
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 # 44
Which three actions can be performed by an Administrator in Oracle Machine Learning (OML) Notebooks?
(Choose three.)
- A. Create and run jobs.
- B. View notebooks.
- C. Reassign workspaces to users.
- D. Create, edit and delete OML users.
- E. Create, run and delete notebooks.
Answer: B,C,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
* View notebooks. An Administrator can view notebooks in their own workspace or in workspaces where they have collaboration rights. However, an Administrator cannot run or modify notebooks1.
* Reassign workspaces to users. An Administrator can reassign workspaces from one user to another user in the User Data page. This can be useful when a user leaves the organization or changes roles2.
* Create, edit and delete OML users. An Administrator can create new OML user accounts and passwords, edit existing OML user information, and delete OML users in the User Management interface.
NEW QUESTION # 45
Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
- A. Manage any notebook
- B. Run noteboooks
- C. View notebooks in read-only mode
- D. Reassign user workspace
Answer: C,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 46
What is the proper workflow for analyzing data in Oracle Machine Learning?
- A. Prepare the data, build the model, evaluate the model, and deploy the model.
- B. Build the model, prepare the data, evaluate the model, and deploy the model.
- C. Get predictions from the model, prepare the data, build the model, and deploy the model.
- D. Evaluate the model, prepare the data, build the model, and deploy the model.
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/process-overview.html#GUID-A6 Process Overview: The lifecycle of a machine learning project is divided into six phases. The process begins by defining a business problem and restating the business problem in terms of a machine learning objective.
The end goal of a machine learning process is to produce accurate results for solving your business problem.
Workflow: The machine learning process workflow illustration is based on the CRISP-DM method-ology.
Each stage in the workflow is illustrated with points that summarize the key tasks. The CRISP-DM methodology is the most commonly used methodology for machine learning. The following are the phases of the machine learning process: Define business goals Understand data Pre-pare data Develop models Evaluate Deploy
NEW QUESTION # 47
What are three key features of Oracle Machine Learning Notebooks? (Choose three.)
- A. They enable job scheduling of notebooks on a recurring schedule.
- B. They enable access to in database implementation of machine learning algorithms.
- C. They support integration with Oracle Data Miner-ID
- D. They provide a collaborative notebook interface on Oracle Autonomous Database.
- E. They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
Answer: A,B,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/
NEW QUESTION # 48
A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?
- A. Association Rules
- B. Regression
- C. Clustering
- D. Anomaly Detection
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 49
You are using Oracle Machine Learning with Autonomous Database for the first time. After creating an Autonomous Database, what is the next step that you have to perform?
- A. Create an ML notebook
- B. Create an OML user
- C. Connect to the Database
- D. Create a compartment
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/oml-tour/
NEW QUESTION # 50
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. Regression
- B. Classification
- C. Attribute Importance
- D. Feature Extraction
Answer: C
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 # 51
What is the correct sequence of creating items in Oracle Machine Learning (OML) Note-books when setting up a new Autonomous Database instance?
- A. OML User, Notebook, Job
- B. Notebook, Job, Project, OML User
- 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 # 52
Which three Oracle Machine Learning (OML) components are available with Oracle Autonomous Database?
(Choose three.)
- A. OML4SQL
- B. OML4R
- C. OML Notebooks
- D. Oracle Data Miner
- E. OML Services
Answer: A,C,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 # 53
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?
- A. Model selection, Algorithm selection
- B. Model tuning. Algorithm selection. Feature selection
- C. Algorithm selection, Feature selection. Model tuning
- D. Model selection, Algorithm selection
Answer: C
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 54
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Google Colab
- B. Zeppelin Notebook
- C. Polynote
- D. Jupyter Notebook
Answer: B
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 # 55
Which three tasks can be performed by an Oracle Machine Learning (OML) user with the Developer role?
(Choose three.)
- A. Transfer OML workspace to other users.
- B. Share notebooks.
- C. Create and run scratchpads.
- D. Create and run OML notebooks.
- E. Edit Example templates.
- F. Create other OML users.
Answer: A,B,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 56
(PICq21) Examine the output: <PIC>
- A. SET SQLFORMAT FIXED
- B. SET SQLFORMAT LOADER
- C. SET SQLFORMAT DELIMITED
- 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 # 57
Which two statements are true about supervised machine learning? (Choose two.)
- A. It does not specify a target, it can be applied to a population of interest.
- B. The learning process is directed by a previously known dependent attribute or target.
- C. It is used to extract meaningful insights from raw data to improve data operational efficiency.
- D. It generally results in predictive models.
- E. There is no previously known result to guide the algorithm in building the model.
Answer: B,D
Explanation:
Explanation
https://docs.oracle.com/cd/F32587_01/dmcon/oracle-machine-learning-sql-concepts.pdf
NEW QUESTION # 58
In which three use cases are Oracle Machine Learning algorithms suitable? (Choose three.)
- A. Speech recognition
- B. Graph analytics
- C. Customer segmentation
- D. Anomaly and fraud detection
- E. Medical outcome analysis
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 # 59
Which type of machine learning algorithm is used to deal with noise in incoming data?
- A. Dimensionality Reduction
- B. Regression
- C. Classification
- D. Clustering
Answer: A
Explanation:
Explanation
https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction
NEW QUESTION # 60
Which task is NOT required by an Administrator when adding a new user to Oracle Ma-chine Leamina (OML) Notebooks?
- A. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
- 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. Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.
Answer: A
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 # 61
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?
- A. Oracle SQL Developer Web
- B. Expdp
- C. SQL*Loader
- 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 # 62
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. A developer cannot create jobs for notebooks that are shared.
- B. The user requires the Create Job role.
- C. The specified job already exists.
- D. The notebook contains code with syntax errors, which need to be corrected first.
Answer: B
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 # 63
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML Services
- B. OML4R
- C. OML4Py
- D. Oracle Data Miner
- E. OML AutoML UI
- F. OML4SQL
Answer: C,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 # 64
Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks? (Choose two.)
- A. Autonomous Database (ADB) name
- B. Privileges to be provided
- C. User's name and email ID
- D. Wallet information to connect to ADB
- E. OML username and password
Answer: C,E
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 # 65
Which three statements are true about unsupervised machine learning? (Choose three.)
- A. It can be used as a preliminary step for supervised algorithms.
- B. It uses unlabeled data.
- C. It analyzes cases where the target value is already known.
- D. There is no previously known result to guide the algorithm in building the model.
Answer: A,B,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 # 66
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