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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Apply MLOps Practices | - Implement model lifecycle management - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models |
| Implement End-to-End Machine Learning Lifecycle | - Prepare and manage datasets - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines - Build, train, and evaluate machine learning models - Deploy models and consume model endpoints |
| Design and Set Up Data Science Workspace | - Manage notebook sessions and compute resources - Use Accelerated Data Science SDK and open source tools - Create and configure Data Science projects |
| Use Related OCI Services | - Design machine learning solutions for business use cases - Integrate OCI Data and AI services - Apply OCI services for data ingestion, storage, and processing |
| 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 |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. You have an image classification model in the model catalog which is deployed as an HTTP endpoint using model deployments. Your tenancy administrator is seeing increased demands and has asked you to increase the load balancing bandwidth from the default of 10Mbps. You are provided with the following information:
Payload size in KB = 1024
Estimated requests per second = 120 requests/second (Monday through Friday, in every month, in every year) Buffer percentage = 20%What is the optimal load balancing bandwidth to redeploy your model?
A) 1152 Mbps
B) 7052 Mbps
C) 452 Mbps
D) 52 Mbps
2. Which activity is NOT a part of the machine learning life cycle?
A) Data Access
B) Model Deployment
C) Database Management
D) Modeling
3. You have been given a collection of digital files required for a business audit. They consist of several different formats that you would like to annotate using Oracle Cloud Infrastructure (OCI) Data Labeling. Which THREE types of files could this tool annotate?
A) Images of computer server racks
B) A collection of purchase orders for office supplies
C) A typewritten document that details an annual budget
D) Video footage of a conversation in a conference room
E) An audio recording of a phone conversation
4. As a data scientist, you create models for cancer prediction based on mammographic images. The correct identification is very crucial in this case. After evaluating two models, you arrive at the following confusion matrix. Which model would you prefer and why?
Model 1 has Test accuracy is 80% and recall is 70%
Model 2 has Test accuracy is 75% and recall is 85%
A) Model 2, because recall has more impact on predictions in this use case
B) Model 1, because recall has lesser impact on predictions in this use case
C) Model 1, because the test accuracy is high
D) Model 2, because recall is high
5. Which technique can be used for feature engineering in the machine learning lifecycle?
A) Principal Component Analysis (PCA)
B) Gradient boosting
C) K-means clustering
D) Support Vector Machines (SVM)
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A,C,D | Question # 4 Answer: A | Question # 5 Answer: A |
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