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Last Updated: Oct 13, 2026
No. of Questions: 80 Questions & Answers with Testing Engine
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Oracle 1z0-1110-23 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure Data Science 2023 Professional |
| Exam Number: | 1Z0-1110-23 |
| Related Certifications: | Oracle Cloud Infrastructure Machine Learning Specialist Oracle Cloud Infrastructure Foundations Associate |
| Exam Duration: | 90-120 |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 50-60 |
| Exam Format: | Multiple Select, Multiple Choice |
| Exam Price: | $245 USD |
| Passing Score: | 65-70% |
| Available Languages: | English |
| Recommended Training: | Oracle University OCI Data Science Training |
| Exam Registration: | Oracle Certification Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam via Oracle testing platform or authorized testing centers |
| Pre Condition: | Recommended understanding of cloud computing fundamentals and basic machine learning concepts. Prior OCI experience is beneficial but not strictly required. |
| Official Syllabus URL: | https://education.oracle.com/oracle-certification-exams |
Oracle 1z0-1110-23 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Deployment and MLOps | - Model deployment endpoints - Model lifecycle management and CI/CD for ML |
| Topic 2: Machine Learning Algorithms and Evaluation | - Supervised and unsupervised learning methods - Model evaluation metrics and tuning |
| Topic 3: OCI Data Science Service Overview | - Workspace, projects, and notebooks - Core concepts of Oracle Cloud Infrastructure Data Science |
| Topic 4: Data Preparation and Feature Engineering | - Data ingestion and transformation on OCI - Feature engineering techniques |
| Topic 5: Model Development and Training | - Using notebooks and Python ML libraries - Training models using OCI Data Science |
| Topic 6: OCI Data and AI Services Integration | - Using AI services within OCI ecosystem - Integration with OCI data services |
The Oracle 1z0-1110-23 Exam, Explained
Book through the vendor's official channels:
The Oracle Cloud Infrastructure Data Science 2023 Professional runs Online proctored exam via Oracle testing platform or authorized testing centers — pick the format that fits your schedule when booking.
The Oracle Cloud Infrastructure Data Science 2023 Professional syllabus is organized into 6 domains — including OCI Data and AI Services Integration, Machine Learning Algorithms and Evaluation, Model Deployment and MLOps. The percentages show where the exam concentrates its points; weight your revision the same way. The complete outline is listed above.
90-120 for 50-60 questions — that's the official shape of the 1z0-1110-23 exam. Divide your minutes per question before test day, flag and skip anything that stalls you, and rehearse full timed runs in the ActualTestsQuiz engine until pacing is automatic.
Yes. The free Oracle Cloud Infrastructure Data Science 2023 Professional demo at ActualTestsQuiz lets you judge the question quality before paying. Purchases include 365 days of free updates; after that, renew at half price.
The Oracle Cloud Infrastructure Data Science 2023 Professional is Oracle's certification exam for Oracle Cloud Infrastructure Data Science Professional, a Professional-level credential. Employers value it because it verifies real skills, not attendance. Related credentials include Oracle Cloud Infrastructure Foundations Associate, Oracle Cloud Infrastructure Machine Learning Specialist.
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Yes:
Training explains; practice proves. Follow any course with the 80 practice questions for the Oracle Cloud Infrastructure Data Science 2023 Professional to confirm the knowledge stuck.
Recommended understanding of cloud computing fundamentals and basic machine learning concepts. Prior OCI experience is beneficial but not strictly required. Because vendors adjust eligibility rules from time to time, verify the current requirements on the official page (official 1z0-1110-23 exam page) before you register.
$245 USD per attempt, 65-70% to pass. Retakes cost the full fee again, so treat the 80 practice questions from ActualTestsQuiz as your dress rehearsal — and go in prepared the first time.
Oracle Cloud Infrastructure Data Science 2023 Professional Sample Questions:
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. odac conda publish --slug <SLUG>
- B. conda activate /home/datascience/conda/<SLUG>
- C. odsc conda create --file manifest.yaml
- D. odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
- E. odsc conda list --override
Correct Answer: A,D 🗳️
You want to ensure that all stdout and stderr from your code are automatically collected and logged, without implementing additional logging in your code. How would you achieve this with Data Science Jobs?
- A. Create your own log group and use a third-party logging service to capture job run details for log collection and storing.
- B. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
- C. You can implement custom logging in your code by using the Data Science Jobs logging service.
- D. Make sure that your code is using the standard logging library and then store all the logs to Object Storage at the end of the job.
Correct Answer: B 🗳️
You want to use ADSTuner to tune the hyperparameters of a supported model you recently trained. You have just started your search and want to reduce the computational cost as well as access the quality of the model class that you are using.
What is the most appropriate search space strategy to choose?
- A. ADSTuner doesn't need a search space to tune the hyperparameters.
- B. Perfunctory
- C. Detailed
- D. Pass a dictionary that defines a search space
Correct Answer: B 🗳️
Which feature of the Oracle Cloud Infrastructure (OCI) Vision service helps you generate in-dexing tags for a collection of marketing photographs?
- A. Document classification
- B. Image classification
- C. Key Value extraction
- D. Text recognition
Correct Answer: D 🗳️
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 customer churn would you employ to verify the accuracy of the model?
- A. Drift monitoring
- B. Redeploy the model
- C. Validate the model using recent data
- D. Operational monitoring
- E. Retrain the model
Correct Answer: C,E 🗳️
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