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 Sep 1, 2026.

Viewing page 1 out of 16 pages.
Viewing questions 1-5 out of 80 questions

Get All 80 Questions & Answers

Question No. 1

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

Show Answer

Correct Answer: B, C

Question No. 2

You train a model to predict housing prices for your city. Which two metrics from the

Accelerated Data Science (ADS) ADSEvaluator class can you use to evaluate the regression model?

AExplained Variance Score

BF-1 Score

CWeighted Precision

DWeighted Recall

EMean Absolute Error

Show Answer

Correct Answer: A, D

Question No. 3

You have built a machine model to predict whether a bank customer is going to default on a

loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a

specific prediction. What is the key idea behind LIME?

AGlobal behaviour of a machine learning model may be complex, while the local behaviour
may be approximated with a simpler surrogate model.

BModel-agnostic techniques are more interpretable than techniques that are dependent on
the types of models.

CGlobal and local behaviours of machine learning models are similar.

DLocal explanation techniques are model-agnostic, while global explanation techniques are
not

Show Answer

Correct Answer: A

Question No. 4

As a data scientist, you are working on a global health data set that has data from more than 50 countries. You want to encode three features, such as 'countries', 'race', and 'body organ' as categories. Which option would you use to encode the categorical feature?

ADataFramLabelEncode()

Bauto_transform()

COneHotEncoder()

Dshow_in_notebook()

Show Answer

Correct Answer: A

Question No. 5

Where do calls to stdout and stderr from score.py go in a model deployment?

AThe predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.

BThe OCI Cloud Shell, which can be accessed from the console.

CThe file that was defined for them on the Virtual stachine (VM).

DThe OCI console.

Show Answer

Correct Answer: A

Unlock All Questions for Oracle 1Z0-1110-23 Exam

Full Exam Access, Actual Exam Questions, Validated Answers, Anytime Anywhere, No Download Limits, No Practice Limits

Get All 80 Questions & Answers