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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| 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 |
| Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Build, train, and evaluate machine learning models - Deploy models and consume model endpoints - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines |
| Apply MLOps Practices | - Implement model lifecycle management - Monitor and maintain machine learning models - Use best practices for operationalizing ML solutions |
| 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 |
| Design and Set Up Data Science Workspace | - Use Accelerated Data Science SDK and open source tools - Manage notebook sessions and compute resources - Create and configure Data Science projects |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. Which is NOT a part of Observability and Management Services?
A) Logging
B) Event Services
C) OCI Management Service
D) Logging Analytics
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) Key rotation reduces risk if a key is ever compromised
B) Periodically rotating keys makes it easier to reuse keys
C) Key rotation allows you to encrypt no more than five keys at a time
D) Key rotation improves encryption efficiency
E) Periodically rotating keys limits the amount of data encrypted by one key version
3. How can you collaborate with team members in OCI Data Science Workspace?
A) By sharing the workspace instance with other users
B) By enabling chat and video conferencing within the workspace
C) By using version control systems integrated with the workspace
D) By granting access to specific notebooks and files
4. Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets fromreference libraries and index websites, such as scikit-learn?
A) SecretKeeper
B) DatasetBrowser
C) DatasetFactory
D) ADSTuner
5. You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.
A) Delete the deployment
B) Update the deployment to add more instances
C) Update the deployment to use fewer instances
D) Reduce the load balancer bandwidth limit so that fewer requests come in
E) Update the deployment to use a larger virtual machine (more CPUs/memory)
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,E | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B,D,E |
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