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Oracle Cloud Infrastructure Data Science 2022 Professional Questions and Answers

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Question 1

When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) Data Science model catalog, you create a score.py file. What is the purpose of the score.py fie?

Options:

A.

Define the compute scaling strategy.

B.

Configure the deployment infrastructure.

C.

Define the inference server dependencies.

D.

Execute the inference logic code

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Question 2

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?

Options:

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.

Question 3

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?

Options:

A.

Launch a notebook session. Configure core-site.xml. Install a PySPark conda environ-ment. B. Develop your PySpark application Create a Data Flow application with the Ac-celerated Data Science (ADS) SOK

B.

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.

C.

Launch a notebook session. Install a PySpark conda environment. Configure coresite. xml.

D.

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

E.

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

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