[2024] New 1z0-1096-23 exam Free Sample Questions to Practice
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Oracle 1z0-1096-23 Exam Syllabus Topics:
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NEW QUESTION # 33
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. Edit Example templates.
- C. Create and run scratchpads.
- D. Create and run OML notebooks.
- E. Share notebooks.
- F. Create other OML users.
Answer: A,D,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 34
A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?
- A. Anomaly Detection
- B. Clustering
- C. Association Rules
- D. Regression
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 35
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?
- A. Model tuning. Algorithm selection. Feature selection
- B. Model selection, Algorithm selection
- C. Model selection, Algorithm selection
- D. Algorithm selection, Feature selection. Model tuning
Answer: D
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 36
Which step in the AutoML pipeline involves reducing the size of the large data set into a small-er data set that adequately represents the original?
- A. Model Selection
- B. Algorithm Selection
- C. Feature Selection
- D. Adaptive Sampling
- E. Hyperparameter Tuning
Answer: D
Explanation:
Explanation
https://oralytics.com/2021/03/15/oml4py-automl-an-example/
NEW QUESTION # 37
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. Feature Extraction
- B. Clustering
- C. Regression
- D. Classification
Answer: B
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 # 38
Which type of user has access to the Oracle Machine Learning User Management interface?
- A. Developer
- B. Guest
- C. Administrator
- D. Manager
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/access-autonomous-database.htm
NEW QUESTION # 39
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 deployment date of a previously deployed OML in-database model.
- B. Deploy an existing Oracle Machine Learning in-database model as a REST endpoint in OML Services.
- C. Undeploy a previously deployed OML in-database model.
- D. Delete an existing OML in-database model.
- E. Change the owner of a previously deployed OML in-database model.
- F. Change the namespace of a previously deployed OML in-database model.
Answer: B,C,D,F
Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493
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 to create low-code applications.
- C. It is used for data preparation and exploration.
- D. It provides a web-based interface for data analysis.
- E. It is used to manage and monitor database objects.
Answer: A,C,D
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 41
What is the correct sequence of creating items in Oracle Machine Learning (OML) Note-books when setting up a new Autonomous Database instance?
- A. Job, Project, Workspace, Notebook
- B. Notebook, Job, Project, OML User
- 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 # 42
Which two can be performed by an Administrator in Oracle Machine Learning Notebooks? (Choose two.)
- A. View notebooks in read-only mode
- B. Manage any notebook
- C. Run noteboooks
- 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 # 43
Which output formats are supported by the SET SQLFORMAT command? (Choose three.)
- A. CSV
- B. HTML
(Correct) - C. JSON
- 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 # 44
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: B
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 # 45
Which type of machine learning algorithm is used to deal with noise in incoming data?
- A. Clustering
- B. Regression
- C. Dimensionality Reduction
- D. Classification
Answer: C
Explanation:
Explanation
https://blogs.oracle.com/machinelearning/post/using-svd-for-dimensionality-reduction
NEW QUESTION # 46
An OML AutoML UI Experiment is a work unit that minimally contains the definition of which three options?
(Choose three.)
- A. Parameters
- B. Data Source
- C. Algorithm
- D. Prediction Target
- E. Prediction Type
Answer: B,D,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
NEW QUESTION # 47
Which is NOT a supervised learning algorithm?
- A. Native Bayes
- B. Decision Tree
- C. Stepwise Linear Regression
- D. Support Vector Machines
- E. Hierarchical K-Means
Answer: E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
NEW QUESTION # 48
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. Feature Extraction
- B. Attribute Importance
- C. Regression
- D. Classification
Answer: B
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 # 49
Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?
- A. Create an OML username and password for the user in the Oracle Machine Learning User Management interface.
- B. Provide the user with Autonomous Database client wallet for remote credentials.
- C. Issue grant commands on tables from other schemas to allow access from shared note-books.
- D. Add the user's name and email ID in the Oracle Machine Learning User Management interface.
Answer: B
Explanation:
* The step that is not required to be performed by an administrator when adding a new user to Oracle Machine Learning Notebooks is providing the user with Autonomous Database client wallet for remote credentials.
* 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 interface
NEW QUESTION # 50
Which three statements are true about unsupervised machine learning? (Choose three.)
- A. It analyzes cases where the target value is already known.
- B. It can be used as a preliminary step for supervised algorithms.
- C. There is no previously known result to guide the algorithm in building the model.
- D. It uses unlabeled data.
Answer: B,C,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 # 51
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?
- A. SQL*Loader
- B. Expdp
- C. Oracle SQL Developer Web
- 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 # 52
(PICq21) Examine the output: <PIC>
- A. SET SQLFORMAT ANSICONSOLE
- B. SET SQLFORMAT LOADER
- C. SET SQLFORMAT FIXED
- D. SET SQLFORMAT DELIMITED
Answer: B
Explanation:
Explanation
https://oracle-base.com/articles/misc/sqlcl-format-query-results-with-the-set-sqlformat-command#loader
NEW QUESTION # 53
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 Viewer permissions.
- C. You can share notebooks if you have Developer permissions.
- D. Notebooks cannot be shared for collaborating with other users.
Answer: C
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 # 54
Which two types of permissions allow you tables and run any script on an owner's account? (Choose two.)
- A. Manager
- B. Viewer
- C. Guest
- D. Developer
Answer: A,D
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 # 55
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