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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Build, train, and evaluate machine learning models - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines - Deploy models and consume model endpoints |
| Topic 2: Design and Set Up Data Science Workspace | - Manage notebook sessions and compute resources - Create and configure Data Science projects - Use Accelerated Data Science SDK and open source tools |
| Topic 3: Use Related OCI Services | - Design machine learning solutions for business use cases - Apply OCI services for data ingestion, storage, and processing - Integrate OCI Data and AI services |
| Topic 4: OCI Data Science - Introduction and Configuration | - Configure and manage Data Science resources - Use OCI Data Science notebooks and sessions - Understand OCI Data Science service concepts and architecture |
| Topic 5: Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models - Implement model lifecycle management |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
Question 1
What do you use the score.py file for?
A. Configure the deployment infrastructure
B. Execute the inference logic code
C. Define the scaling strategy
D. Define the required conda environment
Question 2
Select two reasons why it is important to rotate encryption keys when using Oracle Cloud Infrastructure (OCI) Vault to store credentials or other secrets.
A. Periodically rotating keys makes it easier to reuse keys
B. Key rotation improves encryption efficiency
C. Key rotation allows you to encrypt no more than five keys at a time
D. Key rotation reduces risk if a key is ever compromised
E. Periodically rotating keys limits the amount of data encrypted by one key version
Question 3
You are running a pipeline in the OCI Data Science service and want to override some of the pipeline's default settings. Which of the following statements about overriding pipeline defaults is true?
A. Pipeline defaults can be overridden only during pipeline creation.
B. Pipeline defaults cannot be overridden once the pipeline has been created.
C. Pipeline defaults can be overridden before starting the pipeline execution.
D. Pipeline defaults can be overridden only by the Administrator.
Question 4
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 exploratory data analysis. From which TWO places can you access the ADS SDK?
A. Oracle Machine Learning
B. Oracle Autonomous Data Warehouse
C. Conda environment in OCI Data Science
D. Python Package Index (PyPI)
E. Oracle Big Data Service
Question 5
You are working in your notebook session and 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. Download your files and data to your local machine, delete your notebook session, provision a new notebook session on a larger compute shape, and upload your files from your local machine to the new notebook session
B. Deactivate your notebook session, provision a new notebook session on a larger compute shape, and recreate all your file changes
C. Create a temporary bucket in Object Storage, write all your files and data to Object Storage, delete the notebook session, provision a new notebook session on a larger compute shape, and copy your files and data from your temporary bucket to your new notebook session
D. 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 with a larger compute shape selected
Solutions:
| Question 1 Answer: B | Question 2 Answer: D,E | Question 3 Answer: C | Question 4 Answer: C,D | Question 5 Answer: D |






