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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)

A) Autonomous Transaction Processing
B) Autonomous JSON Database
C) Autonomous Dedicated Infrastructure
D) Autonomous Data Warehouse
E) Oracle Application Express

2. Which machine learning algorithm allows the system to identify patterns within data sets on its own?

A) Unsupervised Learning
B) Supervised Learning
C) Semi-supervised Learning
D) Reinforcement Learning

3. 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) Model Selection
B) Hyperparameter Tuning
C) Algorithm Selection
D) Feature Selection
E) Adaptive Sampling

4. Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks?

A) Privileges to be provided
B) OML username and password
C) Autonomous Database (ADB) name
D) Wallet information to connect to ADB
E) User's name and email ID

5. What is the proper workflow for analyzing data in Oracle Machine Learning?

A) Get predictions from the model, prepare the data, build the model, and deploy the model
B) Evaluate the model, prepare the data, build the model, and deploy the model.
C) Prepare the data, build the model, evaluate the model, and deploy the model.
D) Build the model, prepare the data, evaluate the model, and deploy the model.

Solutions: