1Z0-1110-26 exam dumps

Oracle 1Z0-1110-26 Value Package

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  • Exam Code: 1Z0-1110-26
  • Exam Name: Oracle Cloud Infrastructure Data Science Professional
  • No. of Questions: 160 Questions and Answers
  • Updated: Sep 04, 2026

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

SectionObjectives
OCI Data Science - Introduction and Configuration- Configure and manage Data Science resources
- Use OCI Data Science notebooks and sessions
- Understand OCI Data Science service concepts and architecture
Use Related OCI Services- Apply OCI services for data ingestion, storage, and processing
- Integrate OCI Data and AI services
- Design machine learning solutions for business use cases
Design and Set Up Data Science Workspace- Use Accelerated Data Science SDK and open source tools
- Manage notebook sessions and compute resources
- Create and configure Data Science projects
Apply MLOps Practices- Monitor and maintain machine learning models
- Use best practices for operationalizing ML solutions
- Implement model lifecycle management
Implement End-to-End Machine Learning Lifecycle- Deploy models and consume model endpoints
- Build, train, and evaluate machine learning models
- Prepare and manage datasets
- Automate machine learning workflows and pipelines
- Save and manage models using Model Catalog

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

Question 1

As a data scientist, you create models for cancer prediction based on mammographic images. The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix. Which model would you prefer and why?
Model 1 has Test accuracy is 80% and recall is 70%
Model 2 has Test accuracy is 75% and recall is 85%

A. Model 2, because recall has more impact on predictions in this use case
B. Model 1, because the test accuracy is high
C. Model 2, because recall is high
D. Model 1, because recall has lesser impact on predictions in this use case


Question 2

Six months ago you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods would you employ to verify accuracy and lower customer churn?

A. Drift monitoring
B. Validate the model using recent data
C. Redeploy the model
D. Retrain the model
E. Operational monitoring


Question 3

True or false? Bias is a common problem in data science applications.

A. True
B. False


Question 4

Which statement best describes Oracle Cloud Infrastructure Data Science Jobs?

A. Jobs let you define and run repeatable tasks on fully managed infrastructure.
B. Jobs let you define and run all Oracle Cloud DevOps workloads.
C. Jobs let you define and run repeatable tasks on fully managed third-party cloud infrastructures.
D. Jobs let you define and run repeatable tasks on customer-managed infrastructure.


Question 5

You want to create a user group for a team of external data science consultants. The consultants should only have the ability to see Data Science resource details but not have the ability to create, delete, or update Data Science resources. What verb should you write in the policy?

A. Use
B. Manage
C. Inspect
D. Read


Solutions:

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

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