Which TWO statements are true about published conda environments?

• A.The odsc conda init command is used to configure the location of published conda en-vironments.
• B.They can be used in Data Science Jobs and model deployments.
• C.They are curated by Oracle Cloud Infrastructure (OCI) Data Science.
• D.You can only create published conda environment by modifying a Data Science conde
• E.Your notebook session acts as the source to share published conda environment with team members.

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You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?

• A.Adding labels to an image using object detection, by drawing bounding boxes to an im-age.
• B.Adding labels to image using semantic segmentation, by drawing multiple bounding boxes to an image.
• C.Adding multiple labels to an image.
• D.Adding labels to an image by drawing bounding box to an image, is not supported by Data Labeling
• E.Adding a single label to an image.

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You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

• A.Sentiment analysis
• B.Table extraction
• C.Sentence diagramming
• D.Punctuation correction
• E.Topic classification

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You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?

• A.To_xgb{}
• B.Compute{}
• C.Show_in_notebook{}
• D.Show_corr{}

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The Accelerated Data Science (ADS) model evaluation classes support different types of ma-chine learning modeling techniques Which THREE types of modeling techniques are supported by ADS Evaluators?

• A.Regression Analysis
• B.K-Means Clustering
• C.Multiclass Classification
• D.Principal Component Analysis
• E.Binary Classification
• F.Recurrent Neural Network

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