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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions:

1. Which is NOT a supervised learning algorithm?

A) Naïve Bayes
B) Stepwise Linear Regression
C) Decision Tree
D) Hierarchical K-Means
E) Support Vector Machines

2. For which two types of notebooks can you schedule a job?

A) Notebooks under Shared templates
B) Notebooks under Personal templates
C) Notebooks owned by you
D) Notebooks shared with you

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

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

5. Which option would you use to load data from Object Storage into an Oracle Autonomous Da-tabase?

A) DBMS_Cloud package
B) Expdp
C) Oracle SQL Developer Web
D) SQL*Loader

Solutions: