Free Oracle 1Z0-1110-26 Exam Questions
Absolute Free 1Z0-1110-26 Exam Practice for Comprehensive Preparation
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Oracle 1Z0-1110-26 Exam Questions
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Provided By: Oracle
- Exam: Oracle Cloud Infrastructure 2026 Data Science Professional
- Certification: Oracle Cloud Infrastructure
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Total Questions: 160
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Updated On: Jul 13, 2026
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Rated: 4.9 |
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Online Users: 320
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Question 1
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True or false? Data scientists typically need a combination of technical skills, nontechnical ones, and
suitable personality traits to be successful.
Answer: A
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True or false? Data scientists typically need a combination of technical skills, nontechnical ones, and
suitable personality traits to be successful.
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Question 2
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Which model has an open-source, open model format that allows you to run machine learning
models on different platforms?
Answer: D
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Which model has an open-source, open model format that allows you to run machine learning
models on different platforms?
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Question 3
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Which function's objective is to represent the difference between the predictive value and the target
value?
Answer: D
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Which function's objective is to represent the difference between the predictive value and the target
value?
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Question 4
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You want to create an anomaly detection model using the OCI Anomaly Detection service that avoids
as many false alarms as possible. False Alarm Probability (FAP) indicates model performance. How
would you set the value of the False Alarm Probability?
Answer: B
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You want to create an anomaly detection model using the OCI Anomaly Detection service that avoids
as many false alarms as possible. False Alarm Probability (FAP) indicates model performance. How
would you set the value of the False Alarm Probability?
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Question 5
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You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect
anomalies in pump sensor dat
a. What are you trying to determine? How does the required False Alarm Probability setting affect an
anomaly detection model?
Answer: B
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You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect
anomalies in pump sensor dat
a. What are you trying to determine? How does the required False Alarm Probability setting affect an
anomaly detection model?