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| Section | Objectives |
|---|---|
| Topic 1: Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models - Implement model lifecycle management |
| Topic 2: Implement End-to-End Machine Learning Lifecycle | - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines - Build, train, and evaluate machine learning models - Prepare and manage datasets - Deploy models and consume model endpoints |
| Topic 3: 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 |
| Topic 4: 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 |
| Topic 5: Design and Set Up Data Science Workspace | - Manage notebook sessions and compute resources - Create and configure Data Science projects - Use Accelerated Data Science SDK and open source tools |
Question 1
What is feature engineering in machine learning used for?
A. To perform parameter tuning
B. To transform existing features into new ones
C. To help understand the dataset features
D. To interpret ML models
Question 2
Which of these is a unique feature of the published conda environment?
A. Allows you to save the conda environment to an Object Storage Bucket
B. Provides availability on network session reactivation
C. Allows you to save the conda environment in a block volume
D. Provides a comprehensive environment to solve business use cases
Question 3
Which activity is NOT a part of the machine learning life cycle?
A. Data Access
B. Modeling
C. Database Management
D. Model Deployment
Question 4
You want to create a user group for a team of external data science consultants. The consultants should only have the ability to see Data Science resource details but not have the ability to create, delete, or update Data Science resources. What verb should you write in the policy?
A. Inspect
B. Manage
C. Use
D. Read
Question 5
You want to create an anomaly detection model using the OCI Anomaly Detection service that avoids as many false alarms as possible. False Alarm Probability (FAP) indicates model performance. How would you set the value of the False Alarm Probability?
A. Low
B. Use a function
C. Zero
D. High
Solutions:
| Question 1 Answer: B | Question 2 Answer: A | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: A |
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