You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?

A. The path to the arhive.zip file.

B. The local path to your pySpark script.

C. The compartment of the Data Flow application.

D. The bucket used to read/write the pySpark script in Object Storage.

E. The display name of the application.

You have created a model, and you want to use the Accelerated Data Science (ADS) SDK to deploy this model. Where can you save the artifacts to deploy this model with ADS?

A. Model Depository

B. Model Catalog

C. OCI Vault

D. Data Science Artifactory

As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?

A. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.

B. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.

C. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.

D. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.

Where do calls to stdout and stderr from score.py go in a model deployment?

A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.

B. The OCI Cloud Shell, which can be accessed from the console.

C. The file that was defined for them on the Virtual stachine (VM).

D. The OCI console.

You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor data. How does the required False Alarm Probability settings affect an anomaly detection model?

A. It changes the sensitivity of the model to detect anomalies.

B. It is used to disable the reporting of false alarm.

C. It Adds a score to each signal indicating the probability that it is false alarm.

D. It determines how many false alarms occur before an error message is generated.