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NEW QUESTION 31
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 Autonomous Data WarehouseB. Conda environments in Oracle Cloud infrastructure (OCI) Data Science.C. Oracle Big Data ServiceD. Python Package Index (PyPi)E. Oracle Machine Learning

Answer: B,E

 

NEW QUESTION 32
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. Recurrent Neural NetworkB. Principal Component AnalysisC. Regression AnalysisD. Binary ClassificationE. K-Means ClusteringF. Multiclass Classification

Answer: C,D,F

 

NEW QUESTION 33
You are attempting to save a model from a notebook session to the model catalog by using the Accelerated Data Science (ADS) SDK, with resource principal as the authentication signer, and you get a 404 authentication error. Which TWO should you look for to ensure permissions are set up correctly?

A. The policy for the dynamic group grants manages permissions for the model catalog in this compartment.B. The policy for your user group grants manage permissions for the model catalog in this compartment.C. The model artifact is saved to the block volume of the notebook session.D. The networking configuration allows access to the Oracle Cloud Infrastructure (OCI) services through a Service Gateway.E. The dynamic group's matching rule exists for notebook sessions in this compartment.

Answer: A,B

 

NEW QUESTION 34
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. 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 applicationB. Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.C. Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment.D. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOKE. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.F. 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.

Answer: E

 

NEW QUESTION 35
You want to make your model more parsimonious 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 heat map that displays the correlation so that you can identify candidate features to remove. Which Accelerated Data Science (ADS) SDK method would be appropriate to display the correlation between Continuous and Categorical features?

A. Cramersv_plot{}B. Pearson_plot{}C. Correlation_ratio_plot{}D. Corr{}

Answer: C

 

NEW QUESTION 36
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