Oracle 1z0-1096-23 問題集

質問 1：
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? (Choose three.)
A. Neural Networks (Regression)
B. Explicit Semantic Analysis
C. Generalized Linear Model (Regression)
D. Generalized Linear Model (Classification)
E. One-Class Support Vector Machine
F. Support Vector Machine (Regression)
正解：A,C,F
解説: (Topexam メンバーにのみ表示されます)

質問 2：
Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database? (Choose four.)
A. It provides a collaborative web-based notebook interface.
B. It provides a development environment to build models and score data.
C. It includes parallelized in-database algorithms.
D. It provides an interface to monitor a database.
E. It is deployed with Oracle Data Miner.
F. It enables data analytics, data discovery, and data visualizations.
正解：A,B,C,F
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Which category of machine learning algorithms does One-Class SVM fall under?
A. Anomaly Detection
B. Classification
C. Regression
D. Clustering
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 4：
What are three key features of Oracle Machine Learning Notebooks? (Choose three.)
A. They enable access to in database implementation of machine learning algorithms.
B. They support SQL, PL/SQL, JavaScript, and PHP scripting languages.
C. They support integration with Oracle Data Miner-ID
D. They enable job scheduling of notebooks on a recurring schedule.
E. They provide a collaborative notebook interface on Oracle Autonomous Database.
正解：A,D,E
解説: (Topexam メンバーにのみ表示されます)

質問 5：
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. Algorithm Selection
C. Hyperparameter Tuning
D. Feature Selection
E. Adaptive Sampling
正解：E
解説: (Topexam メンバーにのみ表示されます)