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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 |
| Design and Set Up Data Science Workspace | - Create and configure Data Science projects - Use Accelerated Data Science SDK and open source tools - Manage notebook sessions and compute resources |
| Apply MLOps Practices | - Implement model lifecycle management - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models |
| OCI Data Science - Introduction and Configuration | - Configure and manage Data Science resources - Understand OCI Data Science service concepts and architecture - Use OCI Data Science notebooks and sessions |
| Implement End-to-End Machine Learning Lifecycle | - Save and manage models using Model Catalog - Prepare and manage datasets - Build, train, and evaluate machine learning models - Automate machine learning workflows and pipelines - Deploy models and consume model endpoints |
1. When preparing your model artifact to save it to the Oracle Cloud Infrastructure (OCI) DataScience model catalog, you create a score.py file. What is the purpose of the score.py file?
A) Execute the inference logic code
B) Define the compute scaling strategy
C) Define the inference server dependencies
D) Configure the deployment infrastructure
2. Which encryption is used for Oracle Data Science?
A) Triple DES (TDES)
B) 256-bit Advanced Encryption Standard (AES-256)
C) Rivest Shamir Adleman (RSA)
D) Twofish
E) Data Encryption Standard (DES)
3. You have created a conda environment in your notebook session. This is the first time you are working with published conda environments. You have also created an Object Storage bucket with permission to manage the bucket. Which TWO commands are required to publish the conda environment?
A) odsc conda create --file manifest.yaml
B) odsc conda publish --slug <SLUG>
C) odsc conda list --override
D) conda activate /home/datascience/conda/<SLUG>
E) odsc conda init --bucket_namespace <NAMESPACE> --bucket_name <BUCKET>
4. What do you use the score.py file for?
A) Execute the inference logic code
B) Define the scaling strategy
C) Define the required conda environment
D) Configure the deployment infrastructure
5. What does the Data Science Service template in Oracle Resource Manager (ORM) NOTautomatically create?
A) Required user groups
B) Policies for a basic use case
C) Individual Data Science users
D) Dynamic groups
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: B,E | Question # 4 Answer: A | Question # 5 Answer: C |
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