최신 1z0-1110-23 무료덤프 - Oracle Cloud Infrastructure Data Science 2023 Professional

문제1

You want to write a Python script to create a collection of different projects for your data science team. Which Oracle Cloud Infrastructure (OCI) Data Science Interface would you use?

A. OCI Console

B. Command Line Interface (CLI)

C. Mobile App

D. Programming Language Software Development Kit (SDK)

정답: D

문제2

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. Parallel steps cannot be run if they are completely independent of each other.

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. All pipeline steps are always run in parallel.

정답: C

문제3

data scientist, you use the Oracle Cloud Infrastructure (OCI) Language service to train custom models. Which types of custom models can be trained?

A. Sentiment Analysis, Named Entity Recognition (NER)

B. Object detection, Text classification

C. Image classification, Named Entity Recognition (NER)

D. Text classification, Named Entity Recognition (NER)

정답: D

문제4

You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated.
Which model explanation technique should you choose?

A. Local Interpretable Model-Agnostic Explanations

B. Accumulated Local Effects

C. Feature Permutation Importance Explanations

D. Feature Dependence Explanations

정답: B

문제5

While reviewing your data, you discover that your data set has a class imbalance. You are aware that the Accelerated Data Science (ADS) SDK provides multiple built-in automatic transformation tools for data set transformation. Which would be the right tool to correct any imbalance between the classes?

A. auto_transform()

B. sample ()

C. suggest_recommendations()

D. visualize_transforms ()

정답: B

문제6

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. 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.

B. Develop your PySpark application. Create a Data Flow application with the Accelerated Data Science (ADS) SDK.

C. 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.

D. Launch a notebook session. Configure core-site.xml. Install a PySpark conda environment.

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 application. Launch a notebook session.

정답: A

문제7

During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most efficient way to do this with Data Science Jobs?

A. Create a new job with increased storage size and then run the job.

B. Your code is using too much disk space. Refactor the code to identify the problem.

C. Edit the job, change the size of the storage of your job, and start a new job run.

D. On the job run, set the environment variable that helps increase the size-of the storage.

정답: C

문제8

In the Oracle Cloud Infrastructure (OCI) Data Science service, how does Model Catalog help with model deployment and management in MLOps?

A. It provides a centralized and scalable way to manage models and their metadata.

B. It is a database that stores all the features used in a machine learning model.

C. It helps to package the model and its dependencies into a lightweight, portable container.

D. It helps to automate the feature engineering process.

정답: A

최신 1z0-1110-23 무료덤프 - Oracle Cloud Infrastructure Data Science 2023 Professional

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