Practice 1Z0-1096-23 Exam Online

Question 1

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 2

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 : Hyperparameter Tuning

B : Model Selection

C : Algorithm Selection

D : Feature Selection

E : Adaptive Sampling

Answer: A

Question 3

You want to segment your customer data for groups to build supervised models. What should you use to achieve this?

A : Regression

B : Classification

C : Feature Extraction

D : Clustering

Answer: A

Question 4

Two users at different locations are collaborating on a project by editing the same notebook. Which type of notebook should they use for collaboration?

A : Shared Notebook

B : Example notebook

C : Personal Notebook

D : Public Notebook

Answer: B

Question 5

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

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

Oracle 1Z0-1096-23