Exam Name: Oracle Cloud Infrastructure Data Science 2023 Professional
Certification Provider: Oracle
Corresponding Certification: Oracle Cloud
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Check Updated on: Oct 30, 2026
No. of Questions: 80 Questions & Answers with Exam Engine
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In 2026, no internet connection should mean no progress. The online test engine for the Oracle Cloud Infrastructure Data Science 2023 Professional exam keeps working offline after download, so your 80 practice questions travel anywhere you do.
Oracle 1z0-1110-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Model Deployment, MLOps, and Monitoring | 15% | - Implement MLOps practices for lifecycle management - Build and run ML pipelines - Deploy models as REST endpoints - Monitor model performance, logs, and drift |
| Topic 2: Accelerated Data Science (ADS) SDK and AutoML | 20% | - Perform feature engineering and selection - Utilize ADS SDK libraries and functionality - Tune hyperparameters and optimize models - Implement automated ML workflows with Oracle AutoML |
| Topic 3: Model Evaluation, Explanation, and Catalog | 15% | - Compare and select optimal models - Generate global and local model explanations - Evaluate model performance and metrics - Register and manage models in the Model Catalog |
| Topic 4: Model Development, Training, and Jobs | 20% | - Create and run notebook sessions - Configure and manage custom training jobs - Use OCI Data Flow for distributed Spark applications - Manage source code and version control |
| Topic 5: OCI Data Science Overview and Configuration | 15% | - Design and set up workspaces, projects, and environments - Manage access, policies, and security settings - Integrate with OCI IAM and networking - Understand OCI Data Science concepts and architecture |
| Topic 6: Data Access, Preparation, and Labeling | 15% | - Use OCI Data Labeling service to create annotated datasets - Access data from OCI Object Storage, Database, and other sources - Perform data exploration and profiling - Export datasets for model development |
1z0-1110-23 Material FAQ
The Oracle Cloud Infrastructure Data Science 2023 Professional exam requires a score of 65% to pass, and the official registration fee is USD $245. Because the fee is significant, preparing thoroughly the first time is the practical choice.
Every session in the test engine is scored and broken down, so you see clearly which topics you handle well and which ones keep costing you points. That picture tells you where your remaining study time belongs — a far better guide than rereading everything evenly.
The Oracle Cloud Infrastructure Data Science 2023 Professional exam contains 55 questions, and you will have 90 minutes minutes to complete them. Practicing within the same limits builds the pacing the real exam demands.
No mandatory prerequisites; recommended basic knowledge of OCI, Python, and machine learning concepts
You can confirm the current eligibility requirements on the official 1z0-1110-23 exam page before you register.
This package includes 80 practice questions for the Oracle Cloud Infrastructure Data Science 2023 Professional exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
You can register for the Oracle Cloud Infrastructure Data Science 2023 Professional exam through the official channels:
Yes. Once downloaded, the online test engine keeps running without an internet connection, on Windows, Mac, Android, or iOS. That means practice continues on flights, in waiting rooms, and anywhere else your day takes you — your 1z0-1110-23 preparation never has to pause for a missing signal.
The Oracle Cloud Infrastructure Data Science 2023 Professional practice questions are organized around the official exam objectives. Key topics include:
- Data Access, Preparation, and Labeling (15%)
- Model Evaluation, Explanation, and Catalog (15%)
- Model Development, Training, and Jobs (20%)
Comparing your practice scores against these topics shows you where the next session should go.
Many candidates combine practice questions with official training. Recommended options include:
Oracle Cloud Infrastructure Data Science 2023 Professional Sample Questions:
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?
- A. DataFrameLabelEncoder ()
- B. auto_transform()
- C. OneHotEncoder ()
- D. show_in_notebook ()
Correct Answer: A 🗳️
You are asked to prepare data for a custom-built model that requires transcribing Spanish video recordings into a readable text format with profane words identified.
Which Oracle Cloud service would you use?
- A. OCI Language
- B. OCI Anomaly Detection
- C. OCI Translation
- D. OCI Speech
Correct Answer: D 🗳️
You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket.
Which two commands are required to publish the conda environment?
- A. conda activate /home/datascience/conda/<SLUG>
- B. odsc conda create --file manifest.yaml
- C. odac conda publish --slug <SLUG>
- D. odsc conda list --override
- E. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
Correct Answer: C,E 🗳️
You have created a Data Science project in a compartment called Development and shared it with a group of collaborators. You now need to move the project to a different compartment called Production after completing the current development iteration.
Which statement is correct?
- A. Moving a project to a different compartment also moves its associated notebook sessions and models to the new compartment.
- B. Moving a project to a different compartment requires deleting all its associated notebook sessions and models first.
- C. You can move a project to a different compartment without affecting its associated notebook sessions and models
- D. You cannot move a project to a different compartment after it has been created.
Correct Answer: A 🗳️
After you have created and opened a notebook session, you want to use the Accelerated Data Science (ADS) SDK to access your data and get started with an exploratory data analysis.
From which two places can you access or install the ADS SDK?
- A. Oracle Machine Learning (OML)
- B. Python Package Index (PyPI
- C. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
- D. Oracle Big Data Service
- E. Oracle Autonomous Data Warehouse
Correct Answer: B,C 🗳️
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