[2026] Oracle Machine Learning using Autonomous Database 2021 Specialist

문제1

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. Generalized Linear Model (Regression)

B. One-Class Support Vector Machine

C. Neural Networks (Regression)

D. Explicit Semantic Analysis

E. Generalized Linear Model (Classification)

F. Support Vector Machine (Regression)

정답: A,B,D

문제2

Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?

A. missing value replacement

B. binning of numeric data

C. numeric data normalization

D. performing feature engineering, such as creating derived variables

E. building a machine learning model

F. data collection from various sources

정답: A,C,D,F

문제3

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. Example notebook

B. Personal Notebook

C. Shared Notebook

D. Public Notebook

정답: A

문제4

Which is a FALSE statement regarding Oracle Machine Learning (OML)?

A. OML provides scalable statistical functions though OML4Py and OML4R.

B. OML offerings need a separate data visualization tool for creating visualization.

C. OML provides univariate and multivariate statistics.

D. OML provides integration with open source Python and R statistical analysis functions.

정답: B

문제5

You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?

A. Attribute Importance

B. Classification

C. Regression

D. Feature Extraction

정답: A

문제6

Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database?

A. It enables data analytics, data discovery, and data visualizations.

B. It is deployed with Oracle Data Miner.

C. It includes parallelized in-database algorithms.

D. It provides an interface to monitor a database.

E. It provides a collaborative web-based notebook interface.

F. It provides a development environment to build models and score data.

정답: A,C,E,F

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