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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrate Related OCI Services | 10% | - Integration with OCI Object Storage, Vault, and Networking - Use OCI AI and data services with Data Science |
| Apply MLOps Practices | 20% | - Model monitoring, drift detection, and performance tracking - ML pipelines, automation, and reproducibility - Governance, auditing, and compliance |
| Implement End-to-End Machine Learning Lifecycle | 45% | - Data preparation, exploration, and transformation - Use AutoML and built-in algorithms - Model saving, cataloging, and versioning - Model development, training, and evaluation - Deploy models and manage endpoints |
| OCI Data Science - Introduction & Configuration | 10% | - Capabilities of the Accelerated Data Science (ADS) SDK - Overview and core concepts of OCI Data Science - Tenancy and environment configuration for Data Science |
| Design and Set Up Data Science Workspace | 15% | - Manage access control, security, and IAM integration - Create and manage projects and notebook sessions - Configure compute shapes, storage, and networking |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. Which Oracle Accelerated Data Science (ADS) classes can be used for easy access to datasets fromreference libraries and index websites, such as scikit-learn?
A) ADSTuner
B) SecretKeeper
C) DatasetFactory
D) DatasetBrowser
2. You are preparing a configuration object necessary to create a Data Flow application. Which THREE parameter values should you provide?
A) The bucket used to read/write the PySpark script in Object Storage
B) The path to the archive.zip file
C) The local path to your PySpark script
D) The display name of the application
E) The compartment of the Data Flow application
3. Which OCI Data Science interaction method can function without the need of scripting?
A) REST APIs
B) OCI Console
C) Language SDKs
D) CLI
4. Which step is unique to MLOps, as opposed to DevOps?
A) Continuous delivery
B) Continuous integration
C) Continuous training
D) Continuous deployment
5. You have trained three different models on your dataset using Oracle AutoML. You want to visualize the behavior of each of the models, including the baseline model, on the test set. Which class should be used from the Accelerated Data Science (ADS) SDK to visually compare the models?
A) ADSTuner
B) EvaluationMetrics
C) ADSEvaluator
D) ADSExplainer
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A,D,E | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |
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