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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Design and Set Up Data Science Workspace | - Create and configure Data Science projects - Use Accelerated Data Science SDK and open source tools - Manage notebook sessions and compute resources |
| Use Related OCI Services | - Apply OCI services for data ingestion, storage, and processing - Integrate OCI Data and AI services - Design machine learning solutions for business use cases |
| Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models - Implement model lifecycle management |
| OCI Data Science - Introduction and Configuration | - Understand OCI Data Science service concepts and architecture - Configure and manage Data Science resources - Use OCI Data Science notebooks and sessions |
| Implement End-to-End Machine Learning Lifecycle | - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines - Deploy models and consume model endpoints - Build, train, and evaluate machine learning models - Prepare and manage datasets |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
Question 1
You are a data scientist working inside a notebook session and you attempt to pip install a package from a public repository that is not included in your conda environment. After running this command, you get a network timeout error. What might be missing from your networking configuration?
A. Primary Virtual Network Interface Card (VNIC)
B. FastConnect to an on-premises network
C. Service Gateway with private subnet access
D. NAT Gateway with public internet access
Question 2
Which statement is true about standards?
A. They may be audited
B. They are methods and instructions on how to maintain or accomplish the directives of the policy
C. They are the foundation of corporate governance
D. They are the result of a regulation or contractual requirement or an industry requirement
Question 3
Which CLI command allows the customized conda environment to be shared with co-workers?
A. odsc conda clone
B. odsc conda install
C. odsc conda modify
D. odsc conda publish
Question 4
Where do calls to stdout and stderr from score.py go in a model deployment?
A. The predict log in the Oracle Cloud Infrastructure (OCI) Logging service as defined in the deployment
B. The OCI Cloud Shell, which can be accessed from the console
C. The OCI console
D. The file that was defined for them on the Virtual Machine (VM)
Question 5
How can you collaborate with team members in OCI Data Science Workspace?
A. By enabling chat and video conferencing within the workspace
B. By sharing the workspace instance with other users
C. By granting access to specific notebooks and files
D. By using version control systems integrated with the workspace
Solutions:
| Question 1 Answer: D | Question 2 Answer: A | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: D |
