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Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You want to build a multistep machine learning workflow by using the Oracle Cloud Infrastructure (OCI) Data Science Pipeline feature. How would you configure the conda environment to run a pipeline step?

A) Use environmental variables
B) Use command-line variables
C) Configure a block volume
D) Configure a compute shape


2. 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 stepsto develop a PySpark application in Oracle Cloud Infrastructure (OCI) Data Science?

A) Configure core-site.xml, install a PySpark conda environment, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application, launch a notebook session
B) Install a Spark conda environment, configure core-site.xml, launch a notebook session, create a Data Flow application with the Accelerated Data Science (ADS) SDK, develop your PySpark application
C) Launch a notebook session, configure core-site.xml, install a PySpark conda environment, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK
D) Launch a notebook session, install a PySpark conda environment, configure core-site.xml, develop your PySpark application, create a Data Flow application with the Accelerated Data Science (ADS) SDK


3. You have configured the Management Agent on an Oracle Cloud Infrastructure (OCI) Linux instance for log ingestion purposes. Which is a required configuration for OCI Logging Analytics service to collect data from multiple logs of this instance?

A) Log - Log Group Association
B) Entity - Log Association
C) Log Group - Source Association
D) Source - Entity Association


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

A) The compartment of the Data Flow application
B) The path to the archive.zip file
C) The bucket used to read/write the PySpark script in Object Storage
D) The local path to your PySpark script
E) The display name of the application


5. Which architecture is based on the principle of “never trust, always verify”?

A) Zero trust
B) Defense in depth
C) Federated identity
D) Fluid perimeter


Solutions:

Question # 1
Answer: A
Question # 2
Answer: D
Question # 3
Answer: D
Question # 4
Answer: A,C,E
Question # 5
Answer: A

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