Last Updated: Sep 10, 2026
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| Section | Objectives |
|---|---|
| Topic 1: Apply MLOps Practices | - Implement model lifecycle management - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models |
| Topic 2: 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 3: Implement End-to-End Machine Learning Lifecycle | - Automate machine learning workflows and pipelines - Prepare and manage datasets - Deploy models and consume model endpoints - Build, train, and evaluate machine learning models - Save and manage models using Model Catalog |
| Topic 4: 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 5: 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 |
Question 1
How can you convert a fixed load balancer to a flexible load balancer?
A. Delete the fixed load balancer and create a new one
B. There is no way to convert the load balancer
C. Using the Edit Listener option
D. Use Update Shape workflows
Question 2
Which components are a part of the OCI Identity and Access Management service?
A. VCN
B. Policies
C. Compute instances
D. Regional subnets
Question 3
You are working as a Data Scientist for a healthcare company. You have a series of neurophysiological data on OCI Data Science and have developed a convolutional neural network (CNN) classification model. It predicts the source of seizures in drug-resistant epileptic patients. You created a model artifact with all the necessary files. When you deployed the model, it failed to run because you did not point to the correct conda environment in the model artifact. Where would you provide instructions to use the correct conda environment?
A. requirements.txt
B. runtime.yaml
C. score.py
D. model_artifact_validate.py
Question 4
Which THREE types of data are used for Data Labeling?
A. Audio
B. Graphs
C. Text Document
D. Images
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. An audio recording of a phone conversation
B. Video footage of a conversation in a conference room
C. Images of computer server racks
D. A collection of purchase orders for office supplies
E. A typewritten document that details an annual budget
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: B | Question 4 Answer: C,D | Question 5 Answer: B,C,E |
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