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Oracle 1z0-1096-22 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Administration and Security | - Administration Tasks
|
| Building and Evaluating Models | - Model Development
|
| AutoML and In-Database Machine Learning | - Automated Machine Learning
|
| Oracle Machine Learning Notebooks | - Notebook Development
|
| Data Preparation and Exploration | - Data Analysis
|
| Oracle Machine Learning Environment | - Oracle Machine Learning Components
|
| Oracle Machine Learning Fundamentals | - Machine Learning Concepts
|
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 the median value of customer credit limit grouped by marital status.
B) It will return an error.
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. 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) Public Notebook
B) Personal Notebook
C) Shared Notebook
D) Example notebook
3. Which machine learning algorithm allows the system to identify patterns within data sets on its own?
A) Reinforcement Learning
B) Unsupervised Learning
C) Supervised Learning
D) Semi-supervised Learning
4. Which three are supervised machine learning algorithms?
A) Association rule
B) Support Vector Machines
C) K-means clustering
D) Random Forest
E) Linear Regression
5. Which two statements are true about OML AutoML UI? (Choose two.)
A) An Experiment can be run with two possible options: Faster Results or Better Accura-cy.
B) 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.
C) Automates key modeling steps such as algorithm selection, feature selection, and hy-perparameter tuning.
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.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: B,D,E | Question # 5 Answer: A,C |






