최신 1z0-1110-22 무료덤프 - Oracle Cloud Infrastructure Data Science 2022 Professional

문제1

What preparation steps are required to access an Oracle AI service SDK from a Data Science notebook session?

A. Create and upload execute.py and runtime.yaml

B. Create and upload the API signing key and config file

C. Call the Accented Data Science (ADS) command to enable Al integration

D. Import the REST API

정답: B

문제2

You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail?

A. Update the deployment to use fewer instances.

B. Update the deployment to use a larger virtual machine (mare CPUs/memory).

C. Reduce the load balancer bandwidth limit so that fewer requests come in.

D. Delete the deployment.

E. Update the deployment to add more instances.

정답: E

문제3

The Oracle AutoML pipeline automates hyperparameter tuning by training the model with different parameters in parallel. You have created an instance of Oracle AutoML as ora-cle_automl and now you want an output with all the different trials performed by Oracle Au-toML. Which of the following command gives you the results of all the trials?

A. Oracle.automl.visualize_tuning_trails()

B. Oracle.automl.visualize_algorith_selection_trails()

C. Oracle.automl.visualize_adaptive_sampling_trails()

D. Oracle.automl.print_trials()

정답: D

문제4

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. Develop your PySpark application. Create a Data Flow application with the Ac-celerated Data science (ADS) SDK.

B. 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. 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

E. 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.

F. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK

정답: A

문제5

You are using a third-party Continuous Integration/Continuous Delivery (CI/CD) tool to create a pipeline for preparing and training models. How would you integrate a third-party tool outside Oracle Cloud Infrastructure (OCI) to access Data Science Jobs?

A. Data Science Jobs does not accept code from third-party tools, therefore you need to run the pipeline externally.

B. Data Science Jobs Data Science Jobs is not accessible from outside OCI.

C. Third-party tools use authentication keys to create and run.

D. Third-party software can access Data Science Jobs by using any of the OCI Software Development Kits (SDKs).

정답: D

문제6

Six months ago, you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods customer churn would you employ to verify the accuracy of the model?

A. Operational monitoring

B. Validate the model using recent data

C. Drift monitoring

D. Retrain the model

E. Redeploy the model

정답: B,D

최신 1z0-1110-22 무료덤프 - Oracle Cloud Infrastructure Data Science 2022 Professional

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