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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| 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: Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Deploy models and consume model endpoints - Build, train, and evaluate machine learning models - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines |
| Topic 3: 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 |
| Topic 4: 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 |
| Topic 5: 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 |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
In machine learning, what is the primary difference between supervised and unsupervised learning?
- A. Supervised learning is created and managed by the Data Engineer.
- B. Supervised learning is only used for image recognition, while unsupervised learning can be used for various analytics applications.
- C. Supervised learning involves data that has been labeled and classified, while unsupervised learning data is unlabeled and unclassified.
- D. Supervised learning is monitored closely by data scientists, while they don’t play a role inunsupervised learning.
Correct Answer: C 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
During a job run, you receive an error message that no space is left on your disk device. To solve the problem, you must increase the size of the job storage. What would be the most efficient way to do this with Data Science Jobs?
- A. Create a new job with increased storage size and then run the job
- B. Edit the job, change the size of the storage of your job, and start a new job run
- C. Your code using too much disk space. Refactor the code to identify the problem
- D. On the job run, set the environment variable that helps increase the size of the storage
Correct Answer: A 🗳️
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Which Web Application Firewall (WAF) service component must be configured to allow, block, or log network requests when they meet specified criteria?
- A. Web Application Firewall policy
- B. Origin
- C. Bot Management
- D. Protection rules
Correct Answer: D 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
Which step is a part of the AutoML pipeline?
- A. Feature Extraction
- B. Model Deployment
- C. Feature Selection
- D. Model saved to Model Catalog
Correct Answer: C 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
Six months ago you created and deployed a model that predicts customer churn for a call center. Initially, it was yielding quality predictions. However, over the last two months, users have been questioning the credibility of the predictions. Which TWO methods would you employ to verify accuracy and lower customer churn?
- A. Operational monitoring
- B. Drift monitoring
- C. Retrain the model
- D. Redeploy the model
- E. Validate the model using recent data
Correct Answer: B,C 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
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