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A Oracle credential still carries real weight in 2026 hiring decisions, and the 1Z0-1110-26 exam is the gatekeeper. Behind 2Pass4sure's Oracle Cloud Infrastructure Data Science Professional package stands an expert team that verifies each of the 160 practice questions against what the exam currently tests.

Oracle 1Z0-1110-26 Exam Overview:

Certification Vendor:Oracle
Exam Name:Oracle Cloud Infrastructure Data Science Professional
Exam Number:1Z0-1110-26
Real Exam Qty:50
Exam Price:$245 USD
Certificate Validity Period:24 months
Exam Format:Multiple Choice, Multiple Response
Passing Score:68%
Exam Duration:90 minutes
Related Certifications:Oracle Cloud Infrastructure Data Science Professional Certification
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:

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

Answers to the Most Common Questions About Oracle Cloud Infrastructure Data Science Professional

The 1Z0-1110-26 exam is the official Oracle exam for Oracle Cloud Infrastructure Data Science Professional. Passing it earns you the Oracle Cloud credential, which sits at the Professional level. It is also connected to Oracle Cloud Infrastructure Data Science Professional Certification, so what you learn carries over if you plan to pursue those paths as well. Employers treat the certification as verified proof of skill, which is why structured preparation with 2Pass4sure's practice questions pays off.

The 1Z0-1110-26 exam contains 50 questions, and the time limit is 90 minutes. Translate that into a pacing plan before exam day: know roughly how long you can afford per item, flag anything that stalls you, and circle back at the end instead of burning minutes. Two or three full timed sessions in 2Pass4sure's test engine will teach you that rhythm far better than untimed reading ever will.

The passing score for the 1Z0-1110-26 exam is 68%, and the official registration fee is $245 USD. Remember that a failed attempt means paying that fee again in full for a retake, so treat self-assessment as part of the budget: run 2Pass4sure's practice questions under timed conditions and only book your seat once your scores sit comfortably above the passing bar.

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. Eligibility details can change, so before you register, confirm the current requirements on the official exam page: https://education.oracle.com/oracle-cloud-infrastructure-data-science-professional/pexam_1Z0-1110-26.

Yes. 2Pass4sure offers a free PDF demo of the Oracle Cloud Infrastructure Data Science Professional practice questions on the samples page, so you can judge the format and quality yourself before paying anything. Every purchase also includes 365 days of free updates, and after the product expires you can extend the update service at a 50% discount from within your member zone.

If you take the corresponding exam within 60 days of purchase and do not pass, 2Pass4sure backs you with a 100% money-back guarantee. To claim it, submit a scanned copy of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam, and the refund is processed within 7 days. The guarantee does not apply to attempts made within the first 3 days after purchase, to products downloaded without actually sitting the exam, or to free materials and expired orders, and the candidate name must match the payer's name. If you would rather have study material than money, you can instead exchange for two additional exam products of equal value, free of charge, while keeping the update service on your original purchase. Delivery itself is instant: your download is available right after payment and a copy reaches your mailbox within one minute — if nothing arrives within 2 hours, contact customer service. You may install the product on as many computers as you need.

The official Oracle Cloud Infrastructure Data Science Professional blueprint is organized into 5 domains. The leading areas are:

  • Use Related OCI Services
  • Implement End-to-End Machine Learning Lifecycle
  • Design and Set Up Data Science Workspace

For the complete domain-by-domain breakdown with every subtopic, see the Exam Topics outline above.

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

Question 1

Which activity is NOT a part of the machine learning life cycle?

A. Model Deployment
B. Modeling
C. Database Management
D. Data Access


Question 2

You want to evaluate the relationship between feature values and target variables. You have a large number of observations having a near uniform distribution and the features are highly correlated. Which model explanation technique should you choose?

A. Feature Permutation Importance Explanations
B. Local Interpretable Model-Agnostic Explanations
C. Feature Dependence Explanations
D. Accumulated Local Effects


Question 3

You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which TWO of the following prevailing metrics would you use for evaluating a multiclass classification model?

A. Mean squared error
B. Recall
C. F1-score
D. R-squared
E. Explained variance score


Question 4

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


Question 5

You have just received a new dataset from a colleague. You want to quickly find out summary information about the dataset, such as the types of features, the total number of observations, and distributions of the dat a. Which Accelerated Data Science (ADS) SDK method from the ADSDataset class would you use?

A. show_corr()
B. compute()
C. show_in_notebook()
D. to_xgb()


Solutions:

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

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