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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You are building a model and need input that represents data as morning, afternoon, or evening. However, the data contains a timestamp. What part of the Data Science lifecycle would you be in when creating the new variable?

A) Feature engineering
B) Model type selection
C) Data access
D) Model validation

2. Which statement about Oracle Cloud Infrastructure Anomaly Detection is true?

A) Accepted file types are SQL and Python
B) It is trained on a combination of customer and general industry datasets
C) It is an important tool for detecting fraud, network intrusions, and discrepancies in sensor time series analysis
D) Data used for analysis can be text or numerical in nature

3. You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability setting affect an anomaly detection model?

A) It changes the sensitivity of the model to detecting anomalies
B) It is used to disable the reporting of false alarms
C) It adds a score to each signal indicating the probability that it’s a false alarm
D) It determines how many false alarms occur before an error message is generated

4. Where are OCI secrets stored?

A) OCI Object Storage
B) Autonomous Data Warehouse
C) Oracle Databases
D) OCI Vault

5. You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated. Which model explanation technique should you choose?

A) Feature Permutation Importance Explanations
B) Local Interpretable Model-Agnostic Explanations
C) Accumulated Local Effects
D) Feature Dependence Explanations

Solutions: