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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: 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 |
| Topic 2: Implement End-to-End Machine Learning Lifecycle | - Automate machine learning workflows and pipelines - Prepare and manage datasets - Save and manage models using Model Catalog - Deploy models and consume model endpoints - Build, train, and evaluate machine learning models |
| Topic 3: Use Related OCI Services | - Design machine learning solutions for business use cases - Integrate OCI Data and AI services - Apply OCI services for data ingestion, storage, and processing |
| Topic 4: OCI Data Science - Introduction and Configuration | - Use OCI Data Science notebooks and sessions - Understand OCI Data Science service concepts and architecture - Configure and manage Data Science resources |
| 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
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 Autonomous Data Warehouse
B. Oracle Machine Learning
C. Python Package Index (PyPI)
D. Conda environment in OCI Data Science
E. Oracle Big Data Service
Question 2
Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets from reference libraries and index websites such as scikit-learn?
A. SecretKeeper
B. DatasetBrowser
C. DatasetFactory
D. DataLabeling
Question 3
Which is NOT a compliance document?
A. Penetration test report
B. Bridge letter
C. Certificate
D. Attestation
Question 4
You are creating an Oracle Cloud Infrastructure (OCI) Data Science job that will run on a recurring basis in a production environment. This job will pick up sensitive data from an Object Storage Bucket, train a model, and save it to the model catalog. How would you design the authentication mechanism for the job?
A. Package your personal OCI config file and keys in the job artifact
B. Create a pre-authenticated request (PAR) for the Object Storage bucket and use that in the job code
C. Store your personal OCI config file and keys in the Vault, and access the Vault through the job run resource principal
D. Use the resource principal of the job run as the signer in the job code, ensuring there is a dynamic group for this job run with appropriate access to Object Storage and the model catalog
Question 5
You have been given a collection of digital files required for a business audit. They consist of several different formats that you would like to annotate using Oracle Cloud Infrastructure (OCI) Data Labeling. Which THREE types of files could this tool annotate?
A. A collection of purchase orders for office supplies
B. A typewritten document that details an annual budget
C. Images of computer server racks
D. An audio recording of a phone conversation
E. Video footage of a conversation in a conference room
Solutions:
| Question 1 Answer: C,D | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: D | Question 5 Answer: B,C,E |





