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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

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

2. You are creating a job that should run a notebook every hour. You want to make sure that the job does not run repeatedly if there are more than five consecutive failures to run the job.
Which option should you set while creating the job?

A) Maximum Number of Runs
B) Timeout in Minutes
C) Minimum Failure Allowed
D) Maximum Failure Allowed

3. You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others.
Which three algorithms can you use to produce such a model with Oracle Machine Learning?

A) Neural Networks (Regression)
B) Generalized Linear Model (Regression)
C) Generalized Linear Model (Classification)
D) Support Vector Machine (Regression)
E) Explicit Semantic Analysis
F) One-Class Support Vector Machine

4. Which step is not required to be performed by an administrator when adding a new user to Oracle Machine Learning (OML) Notebooks?

A) Provide the user with Autonomous Database client wallet for remote credentials.
B) Create an OML username and password for the user in the Oracle Machine Learning User Management interface.
C) Issue grant commands on tables from other schemas to allow access from shared notebooks.
D) Add the user's name and email ID in the Oracle Machine Learning User Management interface.

5. Which output formats are supported by the SET SQLFORMAT command? (Choose three.)

A) CSV
B) JSON
C) TXT
D) HTML

Solutions: