In 2026, the candidates who prepare most calmly are the ones who practice with structure: timed sessions, daily mistake review, and a question bank that matches the real exam. Prep4SureReview builds that structure into 58 practice questions for the Oracle Cloud Infrastructure Data Science 2022 Professional exam.
Oracle 1z0-1110-22 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure Data Science 2022 Professional |
| Exam Number: | 1Z0-1110-22 |
| Exam Format: | Multiple Response, Multiple Choice |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Related Certifications: | Oracle Cloud Infrastructure Machine Learning Professional Oracle Cloud Infrastructure Foundations Associate |
| Exam Price: | $245 USD |
| Recommended Training: | Oracle University OCI Learning Paths Oracle Cloud Infrastructure Data Science Training |
| Exam Registration: | Pearson VUE Oracle Exams Oracle Certification Registration |
| Sample Questions: |  |
| Exam Way: | Online proctored exam via Pearson VUE or authorized testing centers |
| Pre Condition: | No formal prerequisite, but recommended knowledge of machine learning concepts and Oracle Cloud Infrastructure fundamentals |
| Official Syllabus URL: | https://education.oracle.com |
Oracle 1z0-1110-22 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Development and Training | - Machine learning model lifecycle - Using notebooks and ML libraries in OCI Data Science |
| OCI Data Science Service Overview | - Core concepts of Oracle Cloud Infrastructure Data Science - Key components of OCI Data Science platform |
| Security, Governance, and Best Practices | - Responsible AI and governance practices - IAM and access control for OCI Data Science |
| Model Deployment and Operations | - Model monitoring and management - Deploying models as endpoints |
| Data Preparation and Feature Engineering | - Data ingestion and transformation on OCI - Feature engineering techniques and tools |
What to Know Before Buying 1z0-1110-22 Material
After each practice session, the online test engine records which questions you answered incorrectly and reminds you to revisit them in your next round. Reviewing your own mistakes daily shows you clearly where your weaknesses and strengths lie, so every session builds on the last instead of starting from scratch.
Many candidates combine practice questions with official training. Recommended options include:
Yes. The online test engine lets you set a time limit for each practice session, so you can train yourself to allocate minutes per question the way you will need to in the real 1z0-1110-22 exam. Working under a clock at home makes time pressure on exam day feel routine rather than alarming.
No formal prerequisite, but recommended knowledge of machine learning concepts and Oracle Cloud Infrastructure fundamentals
You can confirm the current eligibility requirements on the official 1z0-1110-22 exam page before you register.
The Oracle Cloud Infrastructure Data Science 2022 Professional practice questions are organized around the official exam objectives. Key topics include:
- Security, Governance, and Best Practices ()
- Data Preparation and Feature Engineering ()
- Model Deployment and Operations ()
Daily practice mapped to these topics keeps your preparation balanced across the whole syllabus.
You can register for the Oracle Cloud Infrastructure Data Science 2022 Professional exam through the official channels:
This package includes 58 practice questions for the Oracle Cloud Infrastructure Data Science 2022 Professional exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions:
For your next data science project, you need access to public geospatial images. Which Oracle Cloud service provides free access to those images?
- A. Oracle Analytics Claud
- B. Oracle Big Data Service
- C. Oracle Cloud Infrastructure (OCI) Data Science
- D. Oracle Open Data
Correct Answer: D π³οΈ
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. show_in_notebook()
- B. DataFramLabelEncode()
- C. auto_transform()
- D. OneHotEncoder()
Correct Answer: B π³οΈ
You have a data set with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?
- A. Algorithm selection
- B. Feature selection
- C. Hyperparameter tuning
- D. Adaptive sampling
Correct Answer: D π³οΈ
You have just received a new data set from a colleague. You want to quickly find out summary information about the data set, such as the types of features, total number of observations, and data distributions, Which Accelerated Data Science (ADS) SDK method from the AD&Dataset class would you use?
- A. Compute{}
- B. Show_in_notebook{}
- C. Show_corr{}
- D. To_xgb{}
Correct Answer: B π³οΈ
You want to make your model more parsimonious to reduce the cost of collecting and processing dat a. 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 would be appropriate to display the correlation between Continuous and Categorical features?
- A. Correlation_ratio_plot{}
- B. Pearson_plot{}
- C. Corr{}
- D. Cramersv_plot{}
Correct Answer: A π³οΈ
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