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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You are a data scientist building a pipeline in the Oracle Cloud Infrastructure (OCI) Data Science service for your machine learning project. You want to optimize the pipeline completion time by running some steps in parallel. Which statement is true about running pipeline steps in parallel?

A) All pipeline steps are always run in parallel
B) Steps in a pipeline can be run only sequentially
C) Pipeline steps can be run in sequence or in parallel, as long as they create a directed acyclic graph (DAG)
D) Parallel steps cannot be run if they are completely independent of each other

2. You are working as a Data Scientist for a healthcare company. You have a series of neurophysiological data on OCI Data Science and have developed a convolutional neural network (CNN) classification model. It predicts the source of seizures in drug-resistant epileptic patients. You created a model artifact with all the necessary files. When you deployed the model, it failed to run because you did not point to the correct conda environment in the model artifact. Where would you provide instructions to use the correct conda environment?

A) score.py
B) model_artifact_validate.py
C) requirements.txt
D) runtime.yaml

3. How are datasets exported in the OCI Data Labeling service?

A) As a binary file
B) As a CSV file
C) As a line-delimited JSON file
D) As an XML file

4. You are working as a data scientist for a healthcare company. They decided 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 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

5. Which encryption is used for Oracle Data Science?

A) Triple DES (TDES)
B) Twofish
C) Rivest Shamir Adleman (RSA)
D) 256-bit Advanced Encryption Standard (AES-256)
E) Data Encryption Standard (DES)

Solutions: