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Get All Oracle Autonomous Database Cloud 2025 Professional Exam Questions with Validated Answers
Vendor: | Oracle |
---|---|
Exam Code: | 1Z0-931-25 |
Exam Name: | Oracle Autonomous Database Cloud 2025 Professional |
Exam Questions: | 149 |
Last Updated: | April 14, 2025 |
Related Certifications: | Oracle Cloud , Oracle Database |
Exam Tags: | Professional Level Oracle Database Administrators and Cloud Engineers |
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Which three options are available to access data in an Autonomous JSON Database?
Full Detailed In-Depth Explanation:
Autonomous JSON Database supports:
A: True. SODA provides NoSQL-style access for JSON documents.
B: False. SQL is secondary; SODA/REST are primary for JSON data.
C: True. REST APIs are supported but require enablement.
D: True. The OCI console offers the JSON Online Developer tool.
E: False. No such downloadable tool exists for Autonomous JSON.
Which statement is FALSE about the Catalog tool?
The Catalog tool in Autonomous Database provides metadata exploration:
Correct Answer (A): ''You can delete an entity from the Autonomous Database via the Catalog tool'' is false. The Catalog is a read-only interface for viewing database objects (tables, views, etc.) and their relationships; it does not support modification or deletion actions.
True Statements:
B: Filtering by name, schema, type, or application is a core search feature.
C: Viewing DDL (data definition language) for entities is supported.
D: The Impact tab shows dependencies, aiding change analysis.
This ensures safe metadata exploration without risking data changes.
You need to create a new database by using the Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI) with the following requirements: Autonomous Transaction Processing, License Included, Shared Infrastructure. Which parameter would you NOT use?
Creating an Autonomous Transaction Processing (ATP) database via OCI CLI requires specific parameters:
Correct Answer (A): db-type is not a standard OCI CLI parameter for provisioning an Autonomous Database. The CLI uses parameters like db-workload to specify the type (e.g., ATP).
Used Parameters:
B: is-dedicated must be set to false for shared infrastructure.
C: db-workload is set to OLTP for ATP.
D: license-model is set to LICENSE_INCLUDED per the requirement.
The correct command might look like: oci db autonomous-database create --db-name <name> --db-workload OLTP --license-model LICENSE_INCLUDED --is-dedicated false.
Given the steps:
Create Oracle Machine Learning User
Create Projects
Create Workspaces
Create Notebooks
Run SQL Scripts
Which two steps are out of order when working with Oracle Machine Learning?
Full Detailed In-Depth Explanation:
The correct sequence for Oracle Machine Learning (OML) is:
Create Oracle Machine Learning User: First step to enable OML access.
Create Workspaces: Containers for organizing projects.
Create Projects: Groups for related notebooks within a workspace.
Create Notebooks: Environments for coding and analysis.
Run SQL Scripts: Executed within notebooks.
In the given list, Create Projects (2) comes before Create Workspaces (3), which is reversed. Workspaces must exist before projects. Thus, C and D are out of order.
Which workload type does the Autonomous Database on dedicated infrastructure service currently support?
Autonomous Database on dedicated infrastructure supports multiple workload types. The correct answer is:
ATP and ADW (C): Autonomous Database on dedicated infrastructure supports both Autonomous Transaction Processing (ATP) for OLTP workloads (high concurrency, low latency) and Autonomous Data Warehouse (ADW) for analytical workloads (high throughput, complex queries). This dual support allows flexibility within a single dedicated Exadata infrastructure.
The incorrect options are:
Autonomous Transaction Processing only (A): Incorrect, as ADW is also supported.
Hybrid Columnar Compression (B): HCC is a data compression feature, not a workload type; it's used within ADW but doesn't define the workload.
Autonomous Data Warehouse only (D): Incorrect, as ATP is also supported.
This versatility is a key feature of dedicated deployments.
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