Oracle 1z0-1110-23 - Oracle Cloud Infrastructure Data Science 2023 Professional
- Exam Code: 1z0-1110-23
- Exam Name: Oracle Cloud Infrastructure Data Science 2023 Professional
- Updated: Sep 17, 2026
- Q & A: 80 Questions and Answers
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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 |
| Exam Price: | USD $245 |
| Real Exam Qty: | 55 |
| Passing Score: | 65% |
| Certificate Validity Period: | 18 months |
| Exam Format: | Multiple Select, Multiple Choice |
| Exam Duration: | 90 minutes |
| Related Certifications: | Oracle Cloud Infrastructure 2023 Professional Certifications |
| Available Languages: | English |
| Recommended Training: | OCI Data Science Workshop Become an OCI Data Science Professional (2023) |
| Exam Registration: | Pearson VUE Registration Oracle Education |
| Sample Questions: |  |
| Exam Way: | Online proctored or Onsite testing at Pearson VUE centers |
| Pre Condition: | No mandatory prerequisites; recommended basic knowledge of OCI, Python, and machine learning concepts |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-data-science-2023-professional/pexam_1Z0-1110-23 |
Oracle 1z0-1110-23 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Deployment, MLOps, and Monitoring | 15% | - Deploy models as REST endpoints - Build and run ML pipelines - Implement MLOps practices for lifecycle management - Monitor model performance, logs, and drift |
| Data Access, Preparation, and Labeling | 15% | - Use OCI Data Labeling service to create annotated datasets - Perform data exploration and profiling - Access data from OCI Object Storage, Database, and other sources - Export datasets for model development |
| Model Development, Training, and Jobs | 20% | - Manage source code and version control - Create and run notebook sessions - Configure and manage custom training jobs - Use OCI Data Flow for distributed Spark applications |
| OCI Data Science Overview and Configuration | 15% | - Manage access, policies, and security settings - Integrate with OCI IAM and networking - Design and set up workspaces, projects, and environments - Understand OCI Data Science concepts and architecture |
| Accelerated Data Science (ADS) SDK and AutoML | 20% | - Tune hyperparameters and optimize models - Implement automated ML workflows with Oracle AutoML - Utilize ADS SDK libraries and functionality - Perform feature engineering and selection |
| Model Evaluation, Explanation, and Catalog | 15% | - Generate global and local model explanations - Compare and select optimal models - Evaluate model performance and metrics - Register and manage models in the Model Catalog |
The 1z0-1110-23 Details You Actually Need
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The Oracle Cloud Infrastructure Data Science 2023 Professional blueprint covers these principal domains:
- Model Development, Training, and Jobs (20%)
- Model Evaluation, Explanation, and Catalog (15%)
- Accelerated Data Science (ADS) SDK and AutoML (20%)
The remaining domains appear in the full official outline, all of which our bank addresses.
As of the latest information, the passing score for the 1z0-1110-23 exam is 65% and the fee is USD $245. Oracle can revise both, so confirm the current figures on the official site before registering.
Registration runs through the official channels below:
Choose your center or online session, and reserve early for the most convenient dates.
Documented and dependable. If you fail the corresponding exam within 60 days of purchase, email us a scanned copy of your enrollment slip and your official Score Report PDF within two days of the exam date; verified claims are refunded in full within seven days. Exclusions apply: exams taken within three days of purchase, candidate names that do not match the payer, and free or expired products. Alternatively, request a free exchange for two products of equal value.
Oracle recommends these official training options:
Pick the course matching your experience, then reinforce it with regular question practice.
Oracle lists the following prerequisites for the Oracle Cloud Infrastructure Data Science 2023 Professional: No mandatory prerequisites; recommended basic knowledge of OCI, Python, and machine learning concepts.
Confirm the details on the official certification page before you book.
Per current exam information, the 1z0-1110-23 exam includes 55 questions and allows 90 minutes minutes. Timed practice beforehand makes the format feel routine on the day.
Because every step respects your time. Buying is a simple, transparent procedure: choose your version or package, see the cost generated automatically, confirm, and order — then the materials arrive by email in about a minute. The 1z0-1110-23 content is clear, the main points easy to acquire, and every answer expert-verified; the PDF prints for paper review. When the exam changes, our experts devote their energy to immediate research and revision, and critical comments trigger improvement measures as soon as possible. A free demo lets you run a mini-test and confirm quality first, and your personal information is protected on an integrity-based platform throughout.
Oracle Cloud Infrastructure Data Science 2023 Professional Sample Questions:
Question #1
You want to make your model more frugal to reduce the cost of collecting and processing data.
You plan to do this by removing features that are highly correlated. You would like to create a heat map that displays the correlation so that you can identify candidate features to remove.
Which Accelerated Data Science (ADS) SDK method is appropriate to display the comparability between Continuous and Categorical features?
- A. correlation_ratio_plot()
- B. pearson_plot()
- C. corr()
- D. cramersv_plot()
Correct Answer: A 🗳️
Question #2
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 Autonomous Data Warehouse
- B. Python Package Index (PyPI
- C. Oracle Big Data Service
- D. Oracle Machine Learning (OML)
- E. Conda environments in Oracle Cloud Infrastructure (OCI) Data Science
Correct Answer: B,E 🗳️
Question #3
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. You can implement custom logging in your code by using the Data Science Jobs logging service.
- C. 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.
- D. On job creation, enable logging and select a log group. Then, select either a log or the option to enable automatic log creation.
Correct Answer: D 🗳️
Question #4
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 Anomaly Detection
- B. OCI Language
- C. OCI Speech
- D. OCI Translation
Correct Answer: C 🗳️
Question #5
Where do calls to stdout and stderr from score.py go in a model deployment?
- A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment.
- B. The OCI Cloud Shell, which can be accessed from the console.
- C. The OCI console.
- D. The file that was defined for them on the Virtual stachine (VM).
Correct Answer: A 🗳️
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