1Z0-1072-22 – Architect & 1Z0-1096-22 – Machine Learning ADB

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Oracle Cloud Infrastructure 2022 Architect Associate Exam #: 1Z0-1072-22Topic 1: Security Lists and Network Security Groups are used to secure network traffic. Network Load Balancer is a layer-4 load balancer that distributes network traffic. Topic 2: Database Systems and Autonomous Databases require operations and maintenance. Public and private IP addresses and virtual NICs are used to manage network connectivity. Topic 3: Cloud Guard, Security Zone, and Security Advisor are security tools in the Oracle Cloud. Infrastructure Maintenance involves updates and maintenance of cloud infrastructure. Topic 4: Virtual Cloud Network Routing and Gateways are used to manage network connectivity. Introduction to Database Systems and Autonomous Databases provides an overview of these systems. Topic 5: Dynamic Groups and Tag-based access control allow for more flexible access management. OS Management involves managing the operating system of cloud resources. Topic 6: Virtual Cloud Networks can be implemented and managed. Load Balancer distributes network traffic to improve performance. Topic 7: Object Storage versioning, life cycle management, and retention rules help manage data. Block Volume performance tiers determine disk performance. Topic 8: File System Snapshots and Cloning allow for data backup and recovery. DNS and Traffic Management are used to manage network traffic. Topic 9: File System usage and metering allow for monitoring and cost management. Public and private subnets are used to manage network connectivity. Topic 10: VCN connectivity can be implemented and managed. Public and Private DNS zones manage domain name resolution. Topic 11: Object Storage replication helps ensure data availability. OCI compute image options allow for flexible deployment of cloud resources. Topic 12: Volume Groups, Backups, and Clones help manage data storage. Observability and Management platform allows for monitoring and management of cloud resources. Topic 13: Conditional and advanced policies allow for more flexible access management. Object Storage can be configured and managed. Topic 14: VCN connectivity options allow for flexible network connectivity. Appropriate compute choices can be selected based on the requirements of the workload. Topic 15: External Database Service provides access to external databases. Cross-region replication allows for data replication across multiple regions for availability. Oracle Machine Learning using Autonomous Database 2022 Specialist Exam #: 1Z0-1096-22Topic 1: Introduction to Oracle Machine Learning (OML) and Oracle Autonomous Cloud Platform, Describing Oracle Machine Learning (OML), Understanding the components and features of OMLTopic 2: Creating Workspace and Projects in Oracle Machine Learning, Accessing the Oracle Machine Learning Home page in Autonomous Data Warehouse, Creating a new project and workspace in Oracle Machine Learning, Managing workspaces and workspace permissions Topic 3: Creating SQL Scripts and Running SQL Commands in Oracle Machine Learning, Describing the SQL Script Scratchpad, Running SQL scripts, Exporting and importing SQL scripts, Identifying the restrictions on SQL commands and for database options Topic 4: Notebooks in Oracle Machine Learning, Describing Notebooks in Oracle Machine Learning, Creating and running a Notebook, Understanding a typical workflow for analyzing data with Oracle Machine Learning, Creating select forms and check-box forms in Notebooks Topic 5: Collaborating Using Templates in Oracle Machine Learning, Describing templates in Oracle Machine Learning, Sharing a notebook by using Oracle Machine Learning templates, Understanding personal, shared, and example templates Topic 6: Working with Jobs in Oracle Machine Learning, Describing jobs in Oracle Machine Learning, Creating jobs to schedule notebooks, Viewing job logs Topic 7: Administering Oracle Machine Learning, Describing administering Oracle Machine Learning, Explaining the workflow for managing Oracle Machine Learning, Creating user accounts for Oracle Machine Learning Working with Auto ML, Describing Auto ML in Oracle Machine Learning, Working with Auto ML using Auto ML UI and OML4Py