Most Recent Oracle 1Z0-1110-23 Exam Dumps

Prepare for the Oracle Cloud Infrastructure Data Science 2023 Professional exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Oracle 1Z0-1110-23 exam and achieve success.

The questions for 1Z0-1110-23 were last updated on Jul 22, 2026.

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Question No. 1

You have an embarrassingly parallel or distributed batch job on a large amount of data that you

consider running using Data Science Jobs. What would be the best approach to run the workload?

ACreate the job in Data Science Jobs and start a job run. When it is done, start a new job run
until you achieve the number of runs required.

BCreate the job in Data Science Jobs and then start the number of simultaneous jobs runs
required for your workload.

CReconfigure the job run because Data Science Jobs does not support embarrassingly parallel
workloads.

DCreate a new job for every job run that you have to run in parallel, because the Data Science
Jobs service can have only one job run per job.

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Correct Answer: B

Question No. 2

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?

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

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

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

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

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Correct Answer: D

Question No. 3

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

AThe path to the arhive.zip file.

BThe local path to your pySpark script.

CThe compartment of the Data Flow application.

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

EThe display name of the application.

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Correct Answer: B, D, E

Question No. 4

Which two statements are true about published conda environments?

AThey are curated by Oracle Cloud Infrastructure (OCI) Data Science.

BThe odac conda init command is used to configure the location of published conda
environments.

CYour notebook session acts as the source to share published conda environments with team
members.

DYou can only create a published conda environment by modifying a Data Science conda
environment.

EIn addition to service job run environment variables, conda environment variables can be
used in Data Science Jobs.

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Correct Answer: C, E

Question No. 5

Six months ago, you created and deployed a model that predicts customer churn for a call

centre. Initially, it was yielding quality predictions. However, over the last two months, users are

questioning the credibility of the predictions.

Which two methods would you employ to verify the accuracy of the model?

ARetrain the model

BValidate the model using recent data

CDrift monitoring

DRedeploy the model

DOperational monitoring

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Correct Answer: B, C

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