1Z0-1096-23 Practice Online

Question 1

What are three key features of Oracle Machine Learning Notebooks?

A : They enable job scheduling of notebooks on a recurring schedule.

B : They enable access to in database implementation of machine learning algorithms.

C : They support SQL, PL/SQL, JavaScript, and PHP scripting languages.

D : They support integration with Oracle Data Miner-ID

E : They provide a collaborative notebook interface on Oracle Autonomous Database.

Answer: A,C,D

Question 2

For which two types of notebooks can you schedule a job?

A : Notebooks under Personal templates

B : Notebooks owned by you

C : Notebooks under Shared templates

D : Notebooks shared with you

Answer: B,C

Question 3

You are tasked with building a predictive model that can estimate the price of houses, based on attributes like

number of rooms, square-footage (size), location, neighborhood attributes, year built among others.

Which three algorithms can you use to produce such a model with Oracle Machine Learning?

A : Generalized Linear Model (Regression)

B : Support Vector Machine (Regression)

C : Explicit Semantic Analysis

D : One-Class Support Vector Machine

E : Generalized Linear Model (Classification)

F : Neural Networks (Regression)

Answer: A,C,D

Question 4

Which two statements are true about Classification algorithms?

A : They predict numeric values along a continuum.

B : They extract rules using unsupervised learning.

C : They assign cases to target categories.

D : They require known outcomes to guide the learning process.

Answer: A,D

Question 5

You are using Oracle Machine Learning with Autonomous Database for the first time. After creating an Autonomous Database, what is the next step that you have to perform?

A : Connect to the Database

B : Create an OML user

C : Create an ML notebook

D : Create a compartment

Answer: B

Name:	Oracle Machine Learning using Autonomous Database 2023 Associate
Exam Code:	1Z0-1096-23
Certification:	Oracle Database
Vendor:	Oracle
Total Questions:	72
Last Updated:	Apr 25, 2024

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