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NEW QUESTION 43
Using Oracle AutoML, you are tuning hyperparameters on a supported model class and have specified a time budget. AutoML terminates computation once the time budget is exhausted. What would you expect AutoML to return in case the time budget is exhausted before hy-perparameter tuning is completed?

• A. The last generated hyperparameter configuration is returned.
• B. The current best-known hyperparameter configuration is returned.
• C. A random hyperparameter configuration is returned.
• D. A hyperparameter configuration with a minimum learning rate is returned.

Answer: B

NEW QUESTION 44
You are a data scientist with a set of text and image files that need annotation, and you want to use Oracle Cloud Infrastructure (OCI) Data Labeling. Which of the following THREE an-notation classes are supported by the tool.?

• A. Polygonal Segmentation
• B. Object Detection
• C. Semantic Segmentation
• D. Classification (single/multi label)
• E. Named Entity Extraction
• F. Key-Point and Landmark

Answer: B,D,E

NEW QUESTION 45
You are working as a data scientist for a healthcare company. They decide to analyze the data to find patterns in a large volume of electronic medical records. You are asked to build a PySpark solution to analyze these records in a JupyterLab notebook. What is the order of recommended steps to develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

• A. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.
• B. Install a spark conda environment. Configure core-site.xml. Launch a notebook session: Create a Data Flow application with the Accelerated Data Science (ADS) SOK. Develop your PySpark application
• C. Configure core-site.xml. Install a PySPark conda environment. Create a Data Flow application with the Accelerated Data Science (ADS) SDK Develop your PySpark ap-plication. Launch a notebook session.
• D. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK
• E. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.
• F. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.

Answer: F

NEW QUESTION 46
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