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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate Related OCI Services | 10% | - Integration with OCI Object Storage, Vault, and Networking - Use OCI AI and data services with Data Science |
| Topic 2: Design and Set Up Data Science Workspace | 15% | - Configure compute shapes, storage, and networking - Manage access control, security, and IAM integration - Create and manage projects and notebook sessions |
| Topic 3: Apply MLOps Practices | 20% | - ML pipelines, automation, and reproducibility - Governance, auditing, and compliance - Model monitoring, drift detection, and performance tracking |
| Topic 4: Implement End-to-End Machine Learning Lifecycle | 45% | - Model saving, cataloging, and versioning - Model development, training, and evaluation - Use AutoML and built-in algorithms - Data preparation, exploration, and transformation - Deploy models and manage endpoints |
| Topic 5: OCI Data Science - Introduction & Configuration | 10% | - Capabilities of the Accelerated Data Science (ADS) SDK - Tenancy and environment configuration for Data Science - Overview and core concepts of OCI Data Science |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. You have trained a binary classifier for a loan application and saved this model into the model catalog. A colleague wants to examine the model, and you need to share the model with your colleague. From the model catalog, which model artifacts can be shared?
A) Metadata, hyperparameters, metrics only
B) Models, model metadata, hyperparameters, metrics
C) Model metadata and hyperparameters only
D) Models and metrics only
2. Which of the following best describes the principal goal of data science?
A) To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains.
B) To collect and prepare data for use as part of analytics applications.
C) To collect and archive exhaustive datasets from various source systems for corporate record-keeping uses.
D) Data science is focused on output of the analysis.
3. You realize that your model deployment is about to reach its utilization limit. What would you do to avoid the issue before requests start to fail? Pick THREE.
A) Delete the deployment
B) Update the deployment to use fewer instances
C) Reduce the load balancer bandwidth limit so that fewer requests come in
D) Update the deployment to add more instances
E) Update the deployment to use a larger virtual machine (more CPUs/memory)
4. You loaded data into Oracle Cloud Infrastructure (OCI) Data Science. To transform the data, you want to use the Accelerated Data Science (ADS) SDK. When you applied the get_recommendations() tool to the ADSDataset object, it showed you user-detected issues with all the recommended changes to apply to the dataset. Which option should you use to apply all the recommended transformations at once?
A) fit_transform()
B) visualize_transforms()
C) get_transformed_dataset()
D) auto_transform()
5. Which components are a part of the OCI Identity and Access Management service?
A) VCN
B) Compute instances
C) Policies
D) Regional subnets
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C,D,E | Question # 4 Answer: D | Question # 5 Answer: C |
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