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The Oracle Cloud Data Management Foundations certification is intended for individuals looking to demonstrate fundamental knowledge of data management services provided by Oracle. This certification is targeted towards candidates with non-technical backgrounds such as those involved in selling or procuring cloud solutions, as well as those with a technical background who want to validate their foundational-level knowledge around core Oracle Data Management services.

Format: Multiple Choice
Duration: 90 Minutes
Number of Questions: 55
Passing Score: 68%
Exam Price: Free
Validation: Validation: This exam has been validated against Oracle Cloud Infrastructure 2022.
Policy: Cloud Recertification

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Review exam topics: Exam Code: 1Z0-1105-22 - Oracle Cloud Data Management 2022 Foundations Associate

Data Management Introduction
Explain Oracle's Data Management Strategy
Discuss the different Oracle database offerings and deployment options (on-premises, DBCS, ADB, Exa, 3rd party cloud)
Discuss multi-cloud and hybrid cloud options for managing data using Oracle Cloud

Oracle Cloud Free Tier Account
Explain Oracle Cloud Free Tier Sign-up processes
Discuss functionality of the OCI Console
Explain the differences and uses of Free vs Always Free

Autonomous Database and Tools
Explore Autonomous Database, the various offerings and deployment options
Discuss ADB Instance Creation - provision, scale CPU and storage, start, stop, and clone
Describe ADB Tools and how to load data into ADB

Exadata and DBCS
Describe the use cases and business problems Exadata solves
Explain the various Exadata deployment options (C@C, Cloud Service, etc)
Discuss Lifecycle Management (patching, backup & recovery)
Describe DBCS offerings and when to use one over the other

Describe MySQL Database Service
Describe NoSQL Service

Converged Database
Describe multi-model and converged database use cases
Explain json, graph and spatial in the Oracle Database

Explain Oracle's Maximum Security Architecture
Explain Oracle's Maximum Availability Architecture

Developing on Oracle Database
Explain the processes and concepts to Manage Autonomous Database: REST, APIs
Describe using database tools, SQL Developer, SQL Worksheet
Describe low-code APEX
Describe CI/CD SQLCl

Data Lake, Data Warehouse and Machine Learning
Discuss concepts and uses of OCI Analytics and AI Data Services
Discuss concepts and uses of Oracle Machine Learning
Explain the data mesh architecture

Upgrades and Migrations
Describe various migration strategies to the cloud
Explain Oracle's upgrade options

Who this course is for:
Oracle Certified Professional An Oracle Certified Professional is skilled in Oracle technologies. This level of certification validates advanced understanding of Oracle concepts and skills as well as experience applying these in real-world scenarios.
Prepares you for these roles: Administrator Developer Implementer Consultant Architect
Recognizes these skills: Focused on advanced skills with a strong foundation in the technology

Oracle & Automated Machine Learning (AutoML) has options for using in-database and opensource algorithms. Which is an example of an in-database option?

A. Tuning of hyperparameter
B. Oracle Machine Learning for Python (OML4Py) APIs
C. REST Interface
D. Cognitive text

Answer: B

Which feature allows you to logically group and isolate your Oracle Cloud Infrastructure re-sources?

A. Availability Domain
B. Tenancy
C. Identity and Access Management Groups
D. Compartments

Answer: D

What are two important reasons to upgrade and patch? (Choose all correct answers)

A. Restructure the database
B. Security
C. Validation of application
D. Support Compliance

Answer: B, D

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