Exam Code: 1z0-1096-23
Exam Name: Oracle Machine Learning using Autonomous Database 2023 Associate
Certification Provider: Oracle
Corresponding Certification: Oracle Database

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Oracle 1z0-1096-23 Exam Syllabus Topics:

Section	Objectives
Topic 1: Using Oracle Machine Learning Notebooks	- Notebooks Basics 1. Use OML Notebooks features and utilities 2. Use AutoML UI 3. Use SQL notebooks 4. Create and run notebooks 5. Manage projects and notebooks
Topic 2: Preparing Data for Oracle Machine Learning	- Data Preparation Techniques 1. Describe OML data preparation functions 2. Describe data preparation steps 3. Perform data transformations 4. Explain the importance of data preparation
Topic 3: Machine Learning Concepts and Oracle Machine Learning (OML)	- Oracle Machine Learning Components 1. Describe Oracle Machine Learning ecosystem 2. Describe OML Notebooks 3. Describe OML4SQL 4. Describe OML4Py 5. Describe OML Services - Machine Learning Concepts 1. Explain the purpose of Machine Learning 2. Describe common Machine Learning algorithms 3. List the types of Machine Learning 4. Describe supervised vs unsupervised learning
Topic 4: Deploying Oracle Machine Learning Models	- Model Deployment and Scoring 1. Describe model deployment and scoring options 2. Use SQL functions for model scoring 3. Deploy models using REST APIs 4. Apply the model to new data 5. Describe OML Services for deployment and scoring
Topic 5: Get Started with Oracle Machine Learning	- Setup and Access OML 1. Provision OML Users 2. Create Autonomous Database instance 3. Navigate OML Notebooks 4. Manage workspace
Topic 6: Oracle Machine Learning Notebooks for Data Analysis	- Data Analysis Techniques 1. Explore and visualize data 2. Perform data analysis using OML Notebooks 3. Use R language integration in OML Notebooks 4. Use OML AutoML UI for model building
Topic 7: Oracle Machine Learning Models: Building, Testing, and Evaluation	- Model Testing and Evaluation 1. Describe model testing and evaluation techniques 2. Explain under-fitting and over-fitting 3. Describe cross-validation 4. Describe model metrics (confusion matrix, lift, ROC, AUC) - Model Building 1. Build a Machine Learning model 2. Describe automatic data preparation 3. Use multiple algorithms for model building 4. Describe model settings and parameters
Topic 8: Oracle Machine Learning Algorithms	- Unsupervised Learning Algorithms 1. Use unsupervised learning algorithms 2. Explain the purpose of anomaly detection 3. Explain the purpose of clustering algorithms 4. Explain the purpose of feature extraction (Attribute Importance) 5. Explain the purpose of association rules - Oracle Machine Learning for Graphs 1. Describe graph algorithms and use cases - Supervised Learning Algorithms 1. Use regression and classification algorithms 2. Describe Random Forest 3. Describe Support Vector Machine (SVM) 4. Describe Generalized Linear Model (GLM) 5. Describe Naive Bayes 6. Describe Decision Tree 7. Explain the purpose of classification algorithms 8. Explain the purpose of regression algorithms

Frequently Asked Questions About Oracle Machine Learning using Autonomous Database 2023 Associate

What is the question count of the Oracle Machine Learning using Autonomous Database 2023 Associate set?

The package includes 73 practice questions for the 1z0-1096-23 exam, all verified and arranged in a well-balanced mix of difficulty to support progressive study.

Topics Covered by This Material

Preparing Data for Oracle Machine Learning ()
Oracle Machine Learning Notebooks for Data Analysis ()
Using Oracle Machine Learning Notebooks ()

Let the topic weights guide how you split your study hours.

How Is the Question Difficulty Distributed?

The Oracle Machine Learning using Autonomous Database 2023 Associate questions are spread across a well-proportioned range of difficulty, from fundamentals to challenging items. That distribution lets you build confidence session by session, and by the time the real test approaches, you have already faced everything it can reasonably throw at you.

Prerequisites for 1z0-1096-23

Basic understanding of SQL and machine learning concepts recommended

Question Count and Duration of 1z0-1096-23

The 1z0-1096-23 exam contains 60 questions within 90 minutes minutes. Rehearsing under the same limit on the ActualTestsIT simulator builds calm, practiced pacing.

Passing Score and Exam Fee for 1z0-1096-23

To pass 1z0-1096-23 you need 65%, and the official exam fee is USD 245. Fixing both numbers early keeps your practice target concrete.

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Oracle Machine Learning using Autonomous Database 2023 Associate Sample Questions:

Question #1

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. Clustering
B. Regression
C. Feature Extraction
D. Classification

Reveal Solution Discussion 0

Correct Answer: A 🗳️