1z0-1096-23 Actual Questions Answers PDF 100% Cover Real Exam Questions
1z0-1096-23 Exam questions and answers
Oracle 1z0-1096-23 Exam Syllabus Topics:
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NEW QUESTION # 33
You are creating a job that should run a notebook every hour. You want to make sure that the job does not run repeatedly if there are more than five consecutive failures to run the job. Which option should you set while creating the job?
- A. Maximum Number of Runs
- B. Maximum Failure Allowed
- C. Minimum Failure Allowed
- D. Timeout in Minutes
Answer: B
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/get-started-jobs.html#GUID-
NEW QUESTION # 34
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. Viewer
- C. Developer
- D. Manager
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 # 35
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 specified job already exists.
- C. The notebook contains code with syntax errors, which need to be corrected first.
- D. The user requires the Create Job role.
Answer: D
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 # 36
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 is used to extract meaningful insights from raw data to improve data operational efficiency.
- C. It does not specify a target, it can be applied to a population of interest.
- D. It generally results in predictive models.
- E. The learning process is directed by a previously known dependent attribute or target.
Answer: D,E
Explanation:
Explanation
https://docs.oracle.com/cd/F32587_01/dmcon/oracle-machine-learning-sql-concepts.pdf
NEW QUESTION # 37
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)
- A. Autonomous Data Warehouse
- B. Autonomous Dedicated Infrastructure
- C. Autonomous JSON Database
- D. Autonomous Transaction Processing
- E. Oracle Application Express
Answer: A,C,D
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 # 38
For which two types of notebooks can you schedule a job? (Choose two.)
- A. Notebooks owned by you
- B. Notebooks under Shared templates
- C. Notebooks under Personal templates
- D. Notebooks shared with you
Answer: A,D
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: Cre-ate, 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 # 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 output columns with fixed-width columns with data enclosed in double quotation marks.
- C. It formats the output columns to return ANSI characters.
- D. It formats the output columns to Add ANSI characters as the delimiter string.
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/omlug/output-formats-supported-set-sq
NEW QUESTION # 40
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. Workspace, OML User, Notebook, Jobs
- C. Job, Project, Workspace, Notebook
- D. Notebook, Job, Project, OML User
Answer: B
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 # 41
Which three data sources can be immediately used for model building in Oracle Machine Learning? (Choose three.)
- A. CSV files
- B. Oracle Database External tables
- C. JSON files
- D. Oracle Database views
- E. Oracle Database tables
Answer: A,C,E
Explanation:
Explanation
The three data sources that can be immediately used for model building in Oracle Machine Learning are:
Oracle Database tables: Oracle Machine Learning can directly access and use data from tables within an Oracle Database for model building. This allows for efficient utilization of the database's structured data for machine learning tasks. Oracle Database views: Similar to tables, Oracle Machine Learning can also utilize data from database views. Views provide a virtual representation of the data, allowing users to access and analyze specific subsets or transformations of the underlying tables. CSV files: Oracle Machine Learning supports the use of CSV (Comma-Separated Values) files as a data source for model building. CSV files provide a simple and widely-used format for storing tabular data, making it easy to import and use within Oracle Machine Learning. Therefore, the correct options are: Oracle Database tables Oracle Database views CSV files
NEW QUESTION # 42
An OML AutoML UI Experiment is a work unit that minimally contains the definition of which three options?
(Choose three.)
- A. Prediction Target
- B. Prediction Type
- C. Data Source
- D. Parameters
- E. Algorithm
Answer: A,B,C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
NEW QUESTION # 43
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. Deploy an OML in-database model to a REST endpoint.
- 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. Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.
- E. Review the model statistics associated with the experiment of an ONNX-format image classification model.
Answer: A,B,C
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 # 44
Which is NOT a supervised learning algorithm?
- A. Decision Tree
- B. Stepwise Linear Regression
- C. Hierarchical K-Means
- D. Native Bayes
- E. Support Vector Machines
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
NEW QUESTION # 45
Which is a FALSE statement regarding Oracle Machine Learning (OML)?
- A. OML provides scalable statistical functions though OML4Py and OML4R.
- B. OML offerings need a separate data visualization tool for creating visualization.
- C. OML provides univariate and multivariate statistics.
- D. OML provides integration with open source Python and R statistical analysis functions.
Answer: B
Explanation:
* A false statement regarding Oracle Machine Learning (OML) is that OML offerings need a separate data visualization tool for creating visualization56.
* OML does not need a separate data visualization tool for creating visualization because it provides various options for visualizing data and models within its offerings. For example, OML Notebooks support interactive charts and graphs using Plotly and Matplotlib libraries for Python and R.
OML SQL also supports native SQL functions for creating histograms, scatter plots, box plots, and more
NEW QUESTION # 46
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. Example
- B. Personal
- C. Shared
- D. Public
Answer: B
Explanation:
Explanation
https://learn.oracle.com/ols/course/using-oracle-machine-learning-with-autonomous-database/35644/98086/1493
NEW QUESTION # 47
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?
- A. DBMS_Cloud package
- B. SQL*Loader
- C. Expdp
- D. Oracle SQL Developer Web
Answer: A
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 # 48
To navigate to a specific notebook provided by another user, which is the correct workflow?
- A. Change user > Open notebook > Create project
- B. Select workspace > Select project > List notebooks > Open notebook
- C. Create user > Change workspace > Open notebook
- D. Change project > Change workspace > Open notebook
Answer: B
Explanation:
Explanation
https://apexapps.oracle.com/pls/apex/dbpm/r/livelabs/view-workshop?wid=891&clear=180&session=109742845
NEW QUESTION # 49
Which task is NOT required by an Administrator when adding a new user to Oracle Ma-chine Leamina (OML) Notebooks?
- A. Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.
- B. Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.
- 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: B
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 # 50
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. Anomaly Detection
- C. Clustering
- D. Regression
Answer: C
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4sql/21/mlsql/oracle-machine-learning-sql-guid
NEW QUESTION # 51
Which of the following is not type of a workspace permission that can be granted to other us-ers?
- A. Developer
- B. Viewer
- C. Contributor
- D. Manager
Answer: C
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 # 52
Which three SQL commands are restricted in an Autonomous Database?
- A. Create Table
- B. Alter Profile
- C. Create Tablespace
- D. Alter Table
- E. Alter Tablespace
Answer: B,C,E
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/autonomous-sql-commands.html
NEW QUESTION # 53
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