Free Sample Questions to Practice 1z0-1096-23 Certification Test Engine [Apr-2024]
2024 Valid 1z0-1096-23 Real Exam Questions, practice Oracle Database
NEW QUESTION # 37
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. Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.
- C. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
- D. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
Answer: C
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 # 38
Which feature of Oracle Machine Learning Notebooks should you use for data analysis, da-ta discovery, data visualization, and collaboration on Oracle Autonomous Database?
- A. Project
- B. Job
- C. Workspace
- D. Notebook
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/create-notebooks-oml.html#GUID-0F489564
NEW QUESTION # 39
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 the output columns to Add ANSI characters as the delimiter string.
- C. It formats the output columns to return ANSI characters.
- D. It formats output columns with fixed-width columns with data enclosed in double quotation marks.
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/omlug/output-formats-supported-set-sq
NEW QUESTION # 40
Which three statements are true about Oracle Machine Learning Notebooks? (Choose three.)
- A. It is used to access machine learning algorithms.
- B. It is used for data preparation and exploration.
- C. It is used to create low-code applications.
- D. It provides a web-based interface for data analysis.
- E. It is used to manage and monitor database objects.
Answer: A,B,D
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 41
How can you share a notebook with multiple developers for a collaborative effort with note-book editing?
- A. You can share notebooks if you have Viewer permissions.
- B. You can share notebooks if you have Developer permissions.
- C. You create different notebooks, edit separately, and merge later.
- 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 # 42
Which three are unsupervised machine learning algorithms? (Choose three.)
- A. Logistical Regression
- B. Naive Bayes
- C. Random Forest
- D. Principal Component Analysis
- E. Association rule
- F. K-means clustering
Answer: D,E,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 # 43
Which three types of forms are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Select form
- B. List form
- C. Check Box form
- D. Text Input form
- E. Radio form
Answer: A,C,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/create-check-box-forms.html
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/create-select-forms.html
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/create-text-input-forms.html
NEW QUESTION # 44
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. Public Notebook
- B. Shared Notebook
- C. Personal Notebook
- D. Example 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 # 45
Which is NOT a supervised learning algorithm?
- A. Support Vector Machines
- B. Hierarchical K-Means
- C. Stepwise Linear Regression
- D. Native Bayes
- E. Decision Tree
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
NEW QUESTION # 46
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 # 47
What is the first step for analyzing data that is external to Oracle Database with Oracle Machine Learning?
- A. Create the model.
- B. Load the data.
- C. Deploy the model.
- D. Prepare the data.
Answer: B
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 # 48
Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
- A. Reassign user workspace
- B. Manage any notebook
- C. Run noteboooks
- D. View notebooks in read-only mode
Answer: A,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 49
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. Anomaly Detection
- C. Association Rules
- D. Clustering
Answer: D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 50
Which two types of permissions allow you tables and run any script on an owner's account? (Choose two.)
- A. Manager
- B. Guest
- C. Developer
- D. Viewer
Answer: A,C
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 # 51
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 # 52
In which three use cases are Oracle Machine Learning algorithms suitable? (Choose three.)
- A. Customer segmentation
- B. Anomaly and fraud detection
- C. Medical outcome analysis
- D. Graph analytics
- E. Speech recognition
Answer: A,B,C
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 # 53
Which two templates are supported while saving a notebook? (Choose two.)
- A. Personal
- B. Public
- C. Example
- D. Shared
Answer: A,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/notebooks-templates.html
NEW QUESTION # 54
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. Job, Project, Workspace, Notebook
- C. Workspace, OML User, Notebook, Jobs
- D. OML User, Notebook, Job
Answer: C
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 # 55
Which machine learning algorithm allows the system to identify patterns within data sets on its own?
- A. Supervised Learning
- B. Unsupervised Learning
- C. Reinforcement Learning
- D. Semi-supervised Learning
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 56
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. OML username and password
- E. Wallet information to connect to ADB
Answer: C,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 # 57
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. Feature Extraction
- C. Classification
- D. Clustering
Answer: D
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 # 58
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 # 59
Which output formats are supported by the SET SQLFORMAT command? (Choose three.)
- A. TXT
- B. HTML
(Correct) - C. CSV
- D. JSON
Answer: C,D
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/output-formats-supported-set
NEW QUESTION # 60
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