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Oracle 1z0-1096-22 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Building and Evaluation | - Model evaluation and performance metrics - Applying machine learning algorithms in Autonomous Database |
| Data Preparation and Exploration | - Data loading and transformation using SQL and Oracle tools - Feature selection and data preprocessing techniques |
| Oracle Machine Learning Notebooks | - SQL and Python integration in OML - Using OML Notebooks for data science workflows |
| Model Deployment and Management | - Model lifecycle management and monitoring - Deploying machine learning models in Oracle Autonomous Database |
| Introduction to Oracle Machine Learning and Autonomous Database | - Oracle Autonomous Database architecture overview - Machine learning capabilities in Autonomous Database |
Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:
1. Examine the command:
%sql
SELECT CUST_MARITAL_STATUS, MEDIAN <COST_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._statu3 (VARCHAR2) and cost_credit_limit (number) with 100k rows of non-null data?
A) It will return an error.
B) It will return the median value of customer credit limit grouped by marital status.
C) It will return a customer's marital status and credit limit grouped by marital status
D) It will return the marital status and credit limit of each customer.
2. Which feature of Oracle Machine Learning Notebooks should you use for data analysis, data discovery, data visualization, and collaboration on Oracle Autonomous Database?
A) Notebook
B) Project
C) Job
D) Workspace
3. To navigate to a specific notebook provided by another user, which is the correct workflow?
A) Create user > Change workspace > Open notebook
B) Select workspace > Select project > List notebooks > Open notebook
C) Change project > Change workspace > Open notebook
D) Change user > Open notebook > Create project
4. Which two statements are true about OML AutoML UI? (Choose two.)
A) Automates key modeling steps such as algorithm selection, feature selection, and hy-perparameter tuning.
B) An Experiment can be run with two possible options: Faster Results or Better Accura-cy.
C) An Experiment returns a single machine learning model, on successful execution Pro-vides Classification Prediction Type for numeric data and Regression Prediction Type for non-numeric data.
D) When creating a notebook from an experiment-produced Model, the top algorithm in the Leader Board is automatically selected and converted to OML4Py code.
5. Which three are supervised machine learning algorithms?
A) Support Vector Machines
B) Association rule
C) Random Forest
D) Linear Regression
E) K-means clustering
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: A,B | Question # 5 Answer: A,C,D |

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