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Last Updated: Aug 12, 2026
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| Section | Objectives |
|---|---|
| Use Related OCI Services | - Integrate OCI Data and AI services - Apply OCI services for data ingestion, storage, and processing - Design machine learning solutions for business use cases |
| OCI Data Science - Introduction and Configuration | - Use OCI Data Science notebooks and sessions - Understand OCI Data Science service concepts and architecture - Configure and manage Data Science resources |
| Design and Set Up Data Science Workspace | - Create and configure Data Science projects - Manage notebook sessions and compute resources - Use Accelerated Data Science SDK and open source tools |
| Apply MLOps Practices | - Monitor and maintain machine learning models - Use best practices for operationalizing ML solutions - Implement model lifecycle management |
| Implement End-to-End Machine Learning Lifecycle | - Deploy models and consume model endpoints - Prepare and manage datasets - Build, train, and evaluate machine learning models - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines |
1. For your next data science project, you need access to public geospatial images. Which Oracle Cloud service provides free access to those images?
A) Oracle Cloud Infrastructure (OCI) Data Science
B) Oracle Big Data Service
C) Oracle Open Data
D) Oracle Analytics Cloud
2. You have built a machine model to predict whether a bank customer is going to default on a loan. You want to use Local Interpretable Model-Agnostic Explanations (LIME) to understand a specific prediction. What is the key idea behind LIME?
A) Local explanation techniques are model-agnostic, while global explanation techniques are not
B) Global and local behaviours of machine learning models are similar
C) Model-agnostic techniques are more interpretable than techniques that are dependent on the types of models
D) Global behaviour of a machine learning model may be complex, while the local behaviour may be approximated with a simpler surrogate model
3. 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 allows you to encrypt no more than five keys at a time
B) Periodically rotating keys limits the amount of data encrypted by one key version
C) Periodically rotating keys makes it easier to reuse keys
D) Key rotation improves encryption efficiency
E) Key rotation reduces risk if a key is ever compromised
4. Which statement about resource principals is true?
A) The Data Science service does not provide authentication via a notebook session’s or job run’s resource principal to access other OCI resources.
B) When you authenticate using a resource principal, you need to create and manage credentials to access OCI resources.
C) A resource principal is not a secure way to authenticate to resources, compared to the OCI configuration and API key approach.
D) A resource principal is a feature of IAM that enables resources to be authorized principal actors.
5. What is the name of the machine learning library used in Apache Spark?
A) Structured Streaming
B) GraphX
C) MLib
D) HadoopML
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: B,E | Question # 4 Answer: D | Question # 5 Answer: C |
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