1z0-1096-23 Self-Study Guide for Becoming an Oracle Machine Learning using Autonomous Database 2023 Associate Expert
1z0-1096-23 Study Guide Realistic Verified 1z0-1096-23 Dumps
NEW QUESTION # 27
Which three data sources can be immediately used for model building in Oracle Machine Learning? (Choose three.)
- A. JSON files
- B. Oracle Database views
- C. CSV files
- D. Oracle Database tables
- E. Oracle Database External tables
Answer: A,C,D
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 # 28
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. Classification
- C. Clustering
- D. Regression
Answer: C
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 # 29
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. Regression
- C. Anomaly Detection
- 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 # 30
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. Prepare the data.
- D. Deploy the model.
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 # 31
What are three key features of Oracle Machine Learning Notebooks? (Choose three.)
- A. They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
- B. They enable job scheduling of notebooks on a recurring schedule.
- C. They support integration with Oracle Data Miner-ID
- D. They enable access to in database implementation of machine learning algorithms.
- E. They provide a collaborative notebook interface on Oracle Autonomous Database.
Answer: B,D,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/
NEW QUESTION # 32
Which three tasks can be performed by an Oracle Machine Learning (OML) user with the Developer role?
(Choose three.)
- A. Create and run scratchpads.
- B. Create other OML users.
- C. Create and run OML notebooks.
- D. Transfer OML workspace to other users.
- E. Edit Example templates.
- F. Share notebooks.
Answer: C,D,F
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/administer-oracle-machine-le
NEW QUESTION # 33
Which three SQL commands are restricted in an Autonomous Database?
- A. Alter Table
- B. Alter Tablespace
- C. Alter Profile
- D. Create Table
- E. Create Tablespace
Answer: B,C,E
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/autonomous-sql-commands.html
NEW QUESTION # 34
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?
- A. Model selection, Algorithm selection
- B. Algorithm selection, Feature selection. Model tuning
- C. Model tuning. Algorithm selection. Feature selection
- D. Model selection, Algorithm selection
Answer: B
Explanation:
Explanation
https://www.doag.org/formes/pubfiles/13151859/OE-DAC-Oracle-Machine-Learning-Overview-Whats-New-Cu
NEW QUESTION # 35
Which statement is FALSE about OML Notebooks?
- A. An existing database user cannot be added as an OML user using the User Management Interface.
- B. The administrator is not authorized to run notebooks.
- C. You must have the Administrator role to access the OML User Management Interface.
- D. You must have the Administrator role to access the compute resources page.
Answer: A
Explanation:
* A false statement about OML Notebooks is that an existing database user cannot be added as an OML user using the User Management Interface2.
* An existing database user can be added as an OML user using the User Management Interface by entering the existing database username and password in the Create User dialog box. This will enable the existing database user to access OML Notebooks without creating a new schema2.
NEW QUESTION # 36
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Zeppelin Notebook
- B. Google Colab
- C. Polynote
- D. Jupyter Notebook
Answer: A
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 # 37
Which three types of forms are available in Oracle Machine Learning Notebooks? (Choose three.)
- A. Text Input form
- B. Radio form
- C. Select form
- D. List form
- E. Check Box form
Answer: A,C,E
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 # 38
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 marital status and credit limit of each customer.
- B. It will return an error.
- C. It will return a customer's marital status and credit limit grouped by marital status
- D. It will return the median value of customer credit limit grouped by marital status.
Answer: D
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 # 39
Which three Oracle Machine Learning (OML) components are available with Oracle Autonomous Database?
(Choose three.)
- A. Oracle Data Miner
- B. OML Services
- C. OML Notebooks
- D. OML4R
- E. OML4SQL
Answer: B,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 # 40
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. Parameters
- D. Algorithm
- E. Data Source
Answer: A,B,E
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
NEW QUESTION # 41
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. Notebook
- B. Project
- C. Workspace
- D. Job
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/cloud/paas/autonomous-database/adbsa/create-notebooks-oml.html#GUID-0F489564
NEW QUESTION # 42
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. Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.
- C. Review the model statistics associated with the experiment of an OML in-database model.
- D. Create a notebook with auto-generated OML4Py code from an OML in-database mod-el to allow for further model tweaking and batch scoring.
- E. Deploy an OML in-database model to a REST endpoint.
Answer: C,D,E
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 # 43
Which is NOT a supervised learning algorithm?
- A. Hierarchical K-Means
- B. Support Vector Machines
- C. Decision Tree
- D. Native Bayes
- E. Stepwise Linear Regression
Answer: A
Explanation:
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml4py/1/mlpug/about-machine-learning-algorithm
NEW QUESTION # 44
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