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Oracle 1Z0-1110-26 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: 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 |
| Topic 2: 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 3: Implement End-to-End Machine Learning Lifecycle | - Save and manage models using Model Catalog - Automate machine learning workflows and pipelines - Deploy models and consume model endpoints - Build, train, and evaluate machine learning models - Prepare and manage datasets |
| Topic 4: 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 |
| Topic 5: Apply MLOps Practices | - Use best practices for operationalizing ML solutions - Monitor and maintain machine learning models - Implement model lifecycle management |
Oracle Cloud Infrastructure Data Science Professional Sample Questions:
1. Which components are a part of the OCI Identity and Access Management service?
A) Policies
B) Regional subnets
C) Compute instances
D) VCN
2. 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? Which THREE steps would you perform?
A) Reduce the load balancer bandwidth limit so that fewer requests come in
B) Update the deployment to use a larger virtual machine (more CPUs/memory)
C) Update the deployment to use fewer instances
D) Delete the deployment
E) Update the deployment to add more instances
3. Why is data sampling useful for data scientists?
A) It lets them analyze datasets in small batches to reduce their use of system resources.
B) It reduces the amount of data storage space that’s required for data science applications.
C) It enables them to use a representative subset of data to build accurate analytical models more quickly.
4. Which of the following best describes the principal goal of data science?
A) To collect and archive exhaustive datasets from various source systems for corporate record-keeping uses.
B) To collect and prepare data for use as part of analytics applications.
C) Data science is focused on output of the analysis.
D) To mine and analyze large amounts of data in order to uncover information that can be used for operational improvements and business gains.
5. Which Oracle Cloud Service provides restricted access to target resources?
A) Bastion
B) Internet Gateway
C) Load Balancer
D) SSL Certificate
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B,E | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: A |
