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Oracle 1z0-1096-22 Exam Syllabus Topics:

SectionObjectives
Model Deployment and Management- Deploying machine learning models in Oracle Autonomous Database
- Model lifecycle management and monitoring
Model Building and Evaluation- Model evaluation and performance metrics
- Applying machine learning algorithms in Autonomous Database
Oracle Machine Learning Notebooks- Using OML Notebooks for data science workflows
- SQL and Python integration in OML
Introduction to Oracle Machine Learning and Autonomous Database- Machine learning capabilities in Autonomous Database
- Oracle Autonomous Database architecture overview
Data Preparation and Exploration- Data loading and transformation using SQL and Oracle tools
- Feature selection and data preprocessing techniques

Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which three are unsupervised machine learning algorithms?

A) Association rule
B) Logistical Regression
C) Naive Bayes
D) Random Forest
E) Principal Component Analysis
F) K-means clustering


2. 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?

A) Classification
B) Attribute Importance
C) Regression
D) Feature Extraction


3. Examine the output:

A) SET SQLFORMAT ANSICONSOLE
B) SET SQLFORMAT FIXED
C) SET SQLFORMAT DELIMITED
D) SET SQLFORMAT LOADER


4. A user with Developer permission is trying to create a job on an existing notebook that is shared. However, the user is unable to do so. What is the reason?

A) The specified job already exists.
B) A developer cannot create jobs for notebooks that are shared.
C) The user requires the Create Job role.
D) The notebook contains code with syntax errors, which need to be corrected first.


5. What are three key features of Oracle Machine Learning Notebooks?

A) They enable access to in database implementation of machine learning algorithms.
B) They enable job scheduling of notebooks on a recurring schedule.
C) They provide a collaborative notebook interface on Oracle Autonomous Database.
D) They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
E) They support integration with Oracle Data Miner-ID


Solutions:

Question # 1
Answer: A,E,F
Question # 2
Answer: B
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: B,D,E

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