Exam Name: Oracle Cloud Infrastructure Data Science 2022 Professional
Certification Provider: Oracle
Corresponding Certification: Oracle Cloud Infrastructure
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- Total Questions: 58
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In 2026, the 1z0-1110-22 exam asks a lot, and scattered resources answer little. Lead2PassExam puts 58 verified practice questions for the Oracle Cloud Infrastructure Data Science 2022 Professional exam into one well-organized package.
Oracle 1z0-1110-22 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle Cloud Infrastructure Data Science 2022 Professional |
| Exam Number: | 1z0-1110-22 |
| Passing Score: | 64% |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 70 |
| Exam Price: | USD $245 |
| Related Certifications: | Oracle Cloud Infrastructure Data Science 2022 Professional |
| Exam Format: | Multiple Choice, Scenarios Based |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online Proctored / Onsite Testing Center |
| Pre Condition: | Recommended: familiarity with data science concepts, Python, SQL, and basic cloud infrastructure; no strict prerequisites but relevant experience is beneficial |
| Official Syllabus URL: | https://education.oracle.com/oracle-cloud-infrastructure-data-science-2022-professional |
Oracle 1z0-1110-22 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Storage and Management for Data Science | 15% | - Data versioning and lifecycle management - Integrating with OCI Data Flow for large-scale processing - Using OCI Object Storage for data assets |
| Topic 2: Model Deployment and Operations | 20% | - Deploying models as endpoints - OCI Data Science Model Catalog - Model monitoring and management - A/B testing and model versioning |
| Topic 3: Machine Learning Workflows on OCI | 25% | - Using JupyterLab and conda environments - Creating and managing ML projects - Training, tuning, and evaluating models - Algorithm selection and model development |
| Topic 4: OCI Data Science Service Overview and Architecture | 15% | - OCI Data Science vs. traditional data science environments - OCI Data Science service architecture components - Understanding OCI Data Science core concepts and features |
| Topic 5: OCI Data Science API and SDK | 10% | - Automating workflows with SDK - REST API interactions - Using the OCI Python SDK for Data Science |
| Topic 6: Integration with OCI Services | 15% | - Security and IAM for Data Science resources - Integration with OCI Functions for serverless inference - Using OCI Resource Manager and IaC - Logging and monitoring with OCI Logging and Monitoring |
Studying for the Oracle Cloud Infrastructure Data Science 2022 Professional Exam: Answers
The Oracle Cloud Infrastructure Data Science 2022 Professional exam contains 70 questions, and you will have 90 minutes minutes to complete them. Practicing within the same limits builds the pacing the real exam demands.
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.
The PDF version downloads in seconds and prints cleanly, so you can read on paper, flip through the pages freely, and write notes in the margins as you go. Marking each mistake on paper makes review sessions concrete: you see exactly which questions tripped you up and which topics need another round.
The Oracle Cloud Infrastructure Data Science 2022 Professional practice questions are organized around the official exam objectives. Key topics include:
- Data Storage and Management for Data Science (15%)
- Model Deployment and Operations (20%)
- OCI Data Science API and SDK (10%)
Use your printed pages to flag the topics that give you trouble, then focus your next session there.
The Oracle Cloud Infrastructure Data Science 2022 Professional exam requires a score of 64% to pass, and the official registration fee is USD $245. Because the fee is significant, preparing thoroughly the first time is the practical choice.
Recommended: familiarity with data science concepts, Python, SQL, and basic cloud infrastructure; no strict prerequisites but relevant experience is beneficial
You can confirm the current eligibility requirements on the official 1z0-1110-22 exam page before you register.
If you learn best with physical pages, the PDF version is built for you. Print the full 58 practice questions for the 1z0-1110-22 exam, work through them anywhere without a device, and keep your annotated pages as a personal review guide. The PC and online versions remain available whenever you want interactive practice.
Oracle Cloud Infrastructure Data Science 2022 Professional Sample Questions:
You are using Oracle Cloud Infrastructure Anomaly Detection to train a model to detect anomalies in pump sensor dat a. How does the required False Alarm Probability settings affect an anomaly detection model?
- A. It is used to disable the reporting of false alarm.
- B. It Adds a score to each signal indicating the probability that it is false alarm.
- C. It determines how many false alarms occur before an error message is generated.
- D. It changes the sensitivity of the model to detect anomalies.
Correct Answer: D 🗳️
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most effi-cient way to do this with Data Science Jobs?
- A. On the job run, set the environment variable that helps increase the size of the storage.
- B. Your code using too much disk space. Refactor the code to identify the problem.
- C. Edit the job, change the size of the storage of your job, and start a new job run.
- D. Create a new job with increased storage size and then run the job.
Correct Answer: C 🗳️
You are a data scientist working for a utilities company. You have developed an algorith that detects anomalies from a utility reader in the grid. The size of the model artifact is about 2 GB, and you are trying to store it in the model catalog. Which THREE interfaces would you use to save the model artifact into the model catalog?
- A. Console
- B. OCI Python SDK
- C. ODSC CLI
- D. Git CLI
- E. Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI)
- F. Accelerated Data Science (ADS) Software Development Kit (SDK)
Correct Answer: A,B,F 🗳️
As you are working in your notebook session, you find that your notebook session does not have enough compute CPU and memory for your workload. How would you scale up your notebook session without losing your work?
- A. Deactivate your notebook session, provision a new notebook session on larger compute shape, and re-create all your file changes.
- B. Down your files and data to your local machine, delete your notebook session, provision tebook session on a larger compute shape, and upload your files from your local the new notebook session.
- C. Ensure your files and environments are written to the block volume storage under the /home/datascience directory, deactivate the notebook session, and activate the notebook larger compute shape selected.
- D. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete tur ctebook session, provision a new notebook session on a larger com-pute shape, and capy your flies and data from your temporary bucket onto your new notebook session.
Correct Answer: C 🗳️
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. OneHotEncoder()
- B. show_in_notebook()
- C. auto_transform()
- D. DataFramLabelEncode()
Correct Answer: D 🗳️
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