Oracle 1Z0-1110-26 Actual Tests : Oracle Cloud Infrastructure Data Science Professional

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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Apply MLOps Practices	20%	- Governance, auditing, and compliance - Model monitoring, drift detection, and performance tracking - ML pipelines, automation, and reproducibility
Topic 2: Implement End-to-End Machine Learning Lifecycle	45%	- Model saving, cataloging, and versioning - Use AutoML and built-in algorithms - Data preparation, exploration, and transformation - Model development, training, and evaluation - Deploy models and manage endpoints
Topic 3: OCI Data Science - Introduction & Configuration	10%	- Overview and core concepts of OCI Data Science - Tenancy and environment configuration for Data Science - Capabilities of the Accelerated Data Science (ADS) SDK
Topic 4: Design and Set Up Data Science Workspace	15%	- Manage access control, security, and IAM integration - Configure compute shapes, storage, and networking - Create and manage projects and notebook sessions
Topic 5: Integrate Related OCI Services	10%	- Use OCI AI and data services with Data Science - Integration with OCI Object Storage, Vault, and Networking

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

Question #1

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.

Reveal Solution Discussion 0

Correct Answer: C 🗳️