Oracle 1Z0-931-25 Exam Questions - Updated Frequently

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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic	Details
Topic 1	Getting Started with Autonomous Database: This section of the exam measures the skills of Database Administrators and covers the architecture and key features of Oracle Autonomous Database. It explains how the database integrates within the Oracle ecosystem and provides an overview of different Autonomous Database offerings and their licensing models, helping administrators understand how to deploy and manage these cloud-based databases efficiently.
Topic 2	Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.
Topic 3	Autonomous Database Tools: This section of the exam measures the skills of Data Analysts and covers the tools available within Autonomous Databases for advanced data processing and analytics. It includes Oracle Machine Learning, APEX, and SQL Developer Web for database development, as well as data transformation, business model creation, data insights, and data analysis, allowing analysts to extract valuable insights from large datasets.
Topic 4	Managing and Maintaining Autonomous Database: This section of the exam measures the skills of Database Administrators and focuses on the ongoing management and maintenance of Autonomous Database instances. It includes using REST APIs and OCI CLI for automation, configuring access control lists and private endpoints, monitoring performance, setting up notifications, utilizing features like auto-indexing and data safe, handling connectivity through wallets and service handles, and configuring disaster recovery using Data Guard to ensure business continuity.

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q64-Q69):

NEW QUESTION # 64
Which statement is FALSE about setting up compartment quotas?

A. You cannot manage quotas in a compartment unless you belong to a group that has the correct permissions.
B. Compartment quotas use policies that allow allocation of resources with a high level of flexibility.
C. Compartment quotas cannot be set on the root compartment.
D. Quotas set on a parent compartment override quotas set on child compartments.

Answer: C

Explanation:
Compartment quotas in Oracle Cloud Infrastructure (OCI) manage resource allocation:
Correct Answer (D): "Compartment quotas cannot be set on the root compartment" is false. Quotas can be applied to any compartment, including the root compartment, to limit resource usage tenancy-wide. While direct quotas on the root are less common (child compartment quotas are typically used), it's technically possible via OCI policies.
True Statements:
A: Quotas offer flexible resource limits (e.g., OCPUs, storage) via policy statements.
B: Parent compartment quotas take precedence over child quotas, enforcing hierarchical control.
C: Managing quotas requires appropriate IAM permissions (e.g., manage quotas), ensuring security.
This flexibility supports granular resource management across the tenancy.

NEW QUESTION # 65
Which statement is FALSE about setting up compartment quotas?

A. You cannot manage quotas in a compartment unless you belong to a group that has the correct permissions.
B. Compartment quotas use policies that allow allocation of resources with a high level of flexibility.
C. Compartment quotas cannot be set on the root compartment.
D. Quotas set on a parent compartment override quotas set on child compartments.

Answer: C

NEW QUESTION # 66
Which four file formats are supported when loading data from Cloud Storage?

A. AVRO
B. DOC
C. DDL
D. CSV
E. JSON
F. Parquet

Answer: A,D,E,F

Explanation:
Full Detailed In-Depth Explanation:
Supported formats:
A: False. DDL is a language, not a data format.
B: True. AVRO is supported for structured data.
C: True. Parquet is optimized for analytics.
D: False. DOC is not supported.
E: True. JSON is flexible for semi-structured data.
F: True. CSV is widely used for tabular data.

NEW QUESTION # 67
Which three options do NOT change when enabling auto scaling? (Choose three.)

A. Amount of storage
B. I/O resources
C. Level of concurrency
D. Number of OCPUs displayed in the console
E. Parallelism settings

Answer: A,C,E

Explanation:
When enabling auto scaling in an Oracle Autonomous Database, the feature dynamically adjusts resources based on workload demand, but certain configuration elements remain unchanged unless manually altered.
Amount of storage (A): Auto scaling focuses on adjusting CPU and I/O resources to meet performance needs. The storage allocation remains constant because it is a separately provisioned resource that requires manual adjustment via the OCI Console or API. This ensures that storage capacity is not inadvertently reduced or expanded without explicit user intent.
Parallelism settings (B): These settings determine how many parallel processes are used for query execution. Auto scaling does not modify this pre-defined configuration; it adjusts resource usage (e.g., CPU cores) without altering the parallelism framework established for the database.
Level of concurrency (E): Concurrency refers to the maximum number of simultaneous user sessions. While auto scaling can indirectly influence concurrency by adjusting available resources, the concurrency limit itself is a fixed setting that remains unchanged unless explicitly modified by the administrator.
Incorrect Options:
I/O resources (C): Auto scaling directly impacts I/O resources by increasing or decreasing them alongside CPU adjustments to handle workload fluctuations.
Number of OCPUs displayed in the console (D): While the base OCPU count remains static, the effective number of OCPUs in use (up to three times the base) changes dynamically with auto scaling, and this is reflected in the console, making this option subject to change.
This behavior ensures that auto scaling optimizes performance without disrupting foundational database configurations.

NEW QUESTION # 68
You have been tasked with analyzing a year's worth of sales data stored in an Autonomous Data Warehouse instance. Which tool would you use to automate data exploration and create pivot tables?

A. SQL Developer Web
B. APEX
C. Data Load
D. Business Models

Answer: D

Explanation:
Full Detailed In-Depth Explanation:
A: False. APEX is for app development, not data exploration.
B: False. SQL Developer Web is for SQL queries, not pivot tables.
C: True. Business Models in ADW automates data exploration and generates pivot tables.
D: False. Data Load is for importing data, not analysis.

NEW QUESTION # 69
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