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  1. Home
  2. Oracle Certification
  3. 1z0-1096-23 Exam
  4. Oracle.1z0-1096-23.v2024-01-30.q27 Dumps
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Question 6

An OML AutoML UI Experiment is a work unit that minimally contains the definition of which three options?
(Choose three.)

Correct Answer: A,B,D
Explanation
https://docs.oracle.com/en/database/oracle/machine-learning/oml-automl-ui/amlui/create-experiment.html
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Question 7

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?

Correct Answer: C
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.
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Question 8

Which three types of permissions can be granted to a user to callaborate and access a workspace in Oracle Machine Learning Notebooks?

Correct Answer: C,D,E
* The three types of permissions that can be granted to a user to collaborate and access a workspace in Oracle Machine Learning Notebooks are Viewer, Manager, and Developer1.
* Viewer is a user role that allows users to view notebooks but not run or modify them1.
* 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.
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Question 9

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?

Correct Answer: D
* 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.
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Question 10

Which task is NOT required by an Administrator when adding a new user to Oracle Ma-chine Leamina (OML) Notebooks?

Correct Answer: B
* 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.
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