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Last Updated: Aug 13, 2026
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| Section | Weight | Objectives |
|---|---|---|
| MLOps and OCI Integration | 20% | - Automation and pipelines
|
| Model Development and Deployment | 30% | - Model deployment
|
| Machine Learning Fundamentals | 20% | - Unsupervised learning
|
| OCI Data Science Service | 30% | - Projects and notebooks
|
1. Which OCI service provides a managed Kubernetes service for deploying, scaling, and managing containerized applications?
A) Oracle Cloud Infrastructure Container Engine for Kubernetes
B) Oracle Cloud Infrastructure Streaming
C) Oracle Cloud Infrastructure Load Balancing
D) Oracle Cloud Infrastructure Container Registry
2. You are a data scientist using Oracle AutoML to produce a model and you are evaluating the score metric for the model. Which TWO of the following prevailing metrics would you use for evaluating a multiclass classification model?
A) F1-score
B) Recall
C) Explained variance score
D) Mean squared error
E) R-squared
3. You have a dataset with fewer than 1000 observations, and you are using Oracle AutoML to build a classifier. While visualizing the results of each stage of the Oracle AutoML pipeline, you notice that no visualization has been generated for one of the stages. Which stage is not visualized?
A) Hyperparameter tuning
B) Algorithm selection
C) Adaptive sampling
D) Feature selection
4. How can you collaborate with team members in OCI Data Science Workspace?
A) By granting access to specific notebooks and files
B) By sharing the workspace instance with other users
C) By enabling chat and video conferencing within the workspace
D) By using version control systems integrated with the workspace
5. You are a computer vision engineer building an image recognition model. You decide to use Oracle Data Labeling to annotate your image dat a. Which of the following THREE are possible ways to annotate an image in Data Labeling?
A) Adding a single label to an image
B) Adding labels to an image by drawing a bounding box to an image is not supported by Data Labeling
C) Adding labels to an image using object detection, by drawing bounding boxes to an image
D) Adding labels to an image using semantic segmentation, by drawing multiple bounding boxes to an image
E) Adding multiple labels to an image
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A,C,E |
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