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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You are running a pipeline in the OCI Data Science service and want to override some of the pipeline's default settings. Which of the following statements about overriding pipeline defaults is true?

A) Pipeline defaults can be overridden only during pipeline creation.
B) Pipeline defaults can be overridden only by the Administrator.
C) Pipeline defaults cannot be overridden once the pipeline has been created.
D) Pipeline defaults can be overridden before starting the pipeline execution.

2. 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?

A) Use a function
B) High
C) Low
D) Zero

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

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

4. You want to make your model more frugal to reduce the cost of collecting and processing dat a. You plan to do this by removing features that are highly correlated. You would like to create a heatmap that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?

A) corr()
B) pearson_plot()
C) cramersv_plot()
D) correlation_ratio_plot()

5. After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with exploratory data analysis. From which TWO places can you access the ADS SDK?

A) Oracle Machine Learning
B) Conda environment in OCI Data Science
C) Oracle Big Data Service
D) Python Package Index (PyPI)
E) Oracle Autonomous Data Warehouse

Solutions: