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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: Apply MLOps Practices | - Monitor and maintain machine learning models - Implement model lifecycle management - Use best practices for operationalizing ML solutions |
| 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: Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Deploy models and consume model endpoints - Save and manage models using Model Catalog - Build, train, and evaluate machine learning models - Automate machine learning workflows and pipelines |
| Topic 5: OCI Data Science - Introduction and Configuration | - Understand OCI Data Science service concepts and architecture - Use OCI Data Science notebooks and sessions - Configure and manage Data Science resources |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. 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? Which THREE steps would you perform?
A) Delete the deployment
B) Reduce the load balancer bandwidth limit so that fewer requests come in
C) Update the deployment to add more instances
D) Update the deployment to use a larger virtual machine (more CPUs/memory)
E) Update the deployment to use fewer instances
2. 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) Deactivate your notebook session, provision a new notebook session on a larger compute shape, and recreate all your file changes
B) 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
C) 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
D) 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
3. Which cache rules criterion matches if the concatenation of the requested URL path and query are identical to the contents of the value field?
A) URL_STARTS_WITH
B) URL_PART_ENDS_WITH
C) URL_IS
D) URL_PART_CONTAINS
4. Which of the following analytical and statistical techniques do data scientists commonly use?
A) Clustering
B) All of the above
C) Regression
D) Classification
5. Which statement about logs for Oracle Cloud Infrastructure Jobs is true?
A) Logs are automatically deleted when the job and job run is deleted
B) Each job run sends outputs to a single log for that job
C) Integrating data science jobs resources with logging is mandatory
D) All stdout and stderr are automatically stored when automatic log creation is enabled
Solutions:
| Question # 1 Answer: B,C,D | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: D |
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