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Oracle 1Z0-1110-26 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure Data Science Professional |
| Exam Number: | 1Z0-1110-26 |
| Exam Duration: | 90 minutes |
| Related Certifications: | Oracle Cloud Infrastructure Data Science Professional Certification |
| Passing Score: | 68% |
| Real Exam Qty: | 50 |
| Exam Price: | $245 USD |
| Exam Format: | Multiple Choice, Multiple Response |
| Certificate Validity Period: | 24 months |
| Available Languages: | English |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or onsite exam through Oracle University testing providers |
| Pre Condition: | No formal prerequisite. Recommended knowledge includes Python for Data Science and Machine Learning, familiarity with open source ML libraries, at least one year of ML experience, and hands-on experience with OCI Data Science. |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-data-science-professional/pexam_1Z0-1110-26 |
Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| OCI Data Science - Introduction and Configuration | - Use OCI Data Science notebooks and sessions - Configure and manage Data Science resources - Understand OCI Data Science service concepts and architecture |
| Design and Set Up Data Science Workspace | - Manage notebook sessions and compute resources - Use Accelerated Data Science SDK and open source tools - Create and configure Data Science projects |
| Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models - Implement model lifecycle management |
| Use Related OCI Services | - Apply OCI services for data ingestion, storage, and processing - Design machine learning solutions for business use cases - Integrate OCI Data and AI services |
| Implement End-to-End Machine Learning Lifecycle | - Automate machine learning workflows and pipelines - Save and manage models using Model Catalog - Deploy models and consume model endpoints - Prepare and manage datasets - Build, train, and evaluate machine learning models |
1Z0-1110-26 (Oracle) Exam FAQ: Trusted Answers
Oracle Cloud Infrastructure Data Science Professional is an official Oracle certification exam, registered under the code 1Z0-1110-26. Passing it awards the Oracle Cloud certification, a credential at the Professional level. It also connects to Oracle Cloud Infrastructure Data Science Professional Certification. The exam is demanding by design, and that difficulty is precisely what makes the credential meaningful for career development.
The Oracle Cloud Infrastructure Data Science Professional exam presents 50 questions within 90 minutes. That is a brisk pace, and the candidates who handle it best are the ones who rehearsed it. Use the ActualPDF engine for full timed simulations, practice flagging and returning, and arrive on exam day with a pacing strategy already proven.
Passing Oracle Cloud Infrastructure Data Science Professional takes 68%, and official registration costs $245 USD. Retakes bill the full $245 USD again, so preparation is the least expensive insurance available. Let your ActualPDF practice scores guide the timing: book when you clear the requirement consistently, not occasionally.
No formal prerequisite. Recommended knowledge includes Python for Data Science and Machine Learning, familiarity with open source ML libraries, at least one year of ML experience, and hands-on experience with OCI Data Science.
Policies get revised, so confirm the current requirements before you register on the official exam page.
Yes. ActualPDF offers a free demo of the Oracle Cloud Infrastructure Data Science Professional questions, so you can verify the quality personally before purchasing. Your purchase then includes a one-year service warranty: updates are free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your money is protected by a 100% money-back guarantee with defined conditions. Take the Oracle Cloud Infrastructure Data Science Professional exam within 60 days of purchase; if you fail, you may claim a full refund, provided the exam matches your product. Attempts within 3 days of purchase are ineligible, as are downloaded-but-unused products, free materials, and expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are processed within 7 days. You may instead wait for the update version or change to other exam material: exchange for two other exam products of equal value, free, with your original purchase keeping its update service.
Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, online 7/24 even on official holidays. Installation is unlimited across your computers.
Oracle Cloud Infrastructure Data Science Professional is organized into 5 official domains. The most heavily weighted are Apply MLOps Practices, OCI Data Science - Introduction and Configuration, and Design and Set Up Data Science Workspace. The full breakdown appears above on this page; study the weightings and your preparation priorities set themselves.
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
Question 1
You are using Oracle Cloud Infrastructure (OCI) Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability setting affect an anomaly detection model?
A. It is used to disable the reporting of false alarms
B. It changes the sensitivity of the model to detecting anomalies
C. It determines how many false alarms occur before an error message is generated
D. It adds a score to each signal indicating the probability that it’s a false alarm
Question 2
As a data scientist, you require a pipeline to train ML models. When can a pipeline run be initiated?
A. Pipeline can be initiated after the active state.
B. Pipeline can be initiated during the pipeline run state.
C. Pipeline can be initiated before the active state.
D. Pipeline can be initiated once it is created.
Question 3
A bike sharing platform has collected user commute data for the past 3 years. For increasing profitability and making useful inferences, a machine learning model needs to be built from the accumulated data. Which of the following options has the correct order of the required machine learning tasks for building a model?
A. Data Access, Feature Exploration, Feature Engineering, Data Exploration, Modeling
B. Data Access, Feature Exploration, Data Exploration, Feature Engineering, Modeling
C. Data Access, Data Exploration, Feature Engineering, Feature Exploration, Modeling
D. Data Access, Data Exploration, Feature Exploration, Feature Engineering, Modeling
Question 4
Which two statements are true about published conda environments?
A. Your notebook session acts as the source to share published conda environments with team members
B. The odsc conda init command is used to configure the location of published conda environments
C. You can only create a published conda environment by modifying a Data Science conda environment
D. They are curated by Oracle Cloud Infrastructure (OCI) Data Science
E. In addition to service job run environment variables, conda environment variables can be used inData Science Jobs
Question 5
You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations() tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
A. fit_transform()
B. visualize_transforms()
C. get_transformed_dataset()
D. auto_transform()
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: B,E | Question 5 Answer: D |
