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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Developing on Autonomous Database: This section of the exam measures the skills of Application Developers and focuses on developing and extending applications using Autonomous Database. It covers using generative AI for natural language queries, Autonomous JSON Database, Oracle Text for document search, location-based analysis with Autonomous Spatial, Autonomous Graph for data relationships, and integration with Object Storage, enabling developers to build intelligent, scalable applications.

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 Dedicated: This section of the exam measures the skills of IT Architects and explores the workflows and functionality of Autonomous Database Dedicated and Autonomous Database Cloud@Customer. It includes provisioning dedicated resources, setting up OCI policies, monitoring infrastructure, scheduling maintenance tasks such as patching, and managing encryption keys for enhanced security. IT Architects will learn how to integrate dedicated database environments within their cloud strategy.

Topic 4

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 5

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.

Topic 6

Data Lake Analytics with Autonomous Database: This section of the exam measures the skills of Big Data Engineers and explores how Autonomous Database can be used for analytics in data lake environments. It includes data ingestion, query optimization, and leveraging cloud-native analytics services, ensuring engineers can efficiently process and analyze large volumes of structured and unstructured data.

Topic 7

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.

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Valid Oracle 1Z0-931-25 test questions and answers will make your exam easily. If you still feel difficult in passing exam, our products are suitable for you. Oracle Autonomous Database Cloud 2025 Professional 1Z0-931-25 Test Questions and answers are worked out by TorrentValid professional experts who have more than 8 years in this field.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q126-Q131):

NEW QUESTION # 126
Which statement is FALSE about Autonomous Database maintenance on Dedicated Infrastructure?

A. Autonomous Exadata Infrastructure maintenance takes place at least once each quarter.
B. You can change your container database maintenance window or reschedule a single container database maintenance run to ensure that your container database maintenance runs follow.
C. Autonomous Exadata Infrastructure maintenance runs are for infrastructure patching (including patching of the Exadata grid infrastructure code and operating systems updates) and includes container database patching.
D. If a scheduled container database maintenance run cannot take place, Oracle automatically reschedules the container database maintenance for the following quarter.

Answer: C

Explanation:
Full Detailed In-Depth Explanation:
Maintenance on dedicated infrastructure:
A: True. You can adjust maintenance windows for container databases.
B: False. Exadata Infrastructure maintenance (e.g., OS, grid patching) is separate from container database patching, which occurs independently.
C: True. Oracle reschedules missed maintenance to the next quarter.
D: True. Infrastructure maintenance occurs quarterly.

NEW QUESTION # 127
Which stage of the indexing pipeline divides text into tokens?

A. Filter
B. Lexer
C. Tokenizer
D. Sectioner

Answer: B

Explanation:
The indexing pipeline in Oracle Text processes text for search:
Correct Answer (D): "Lexer" divides text into tokens (words, symbols) based on language rules and settings (e.g., whitespace, punctuation). It's the stage responsible for tokenization in Oracle's text indexing process.
Incorrect Options:
A: Sectioner identifies document sections (e.g., headers), not tokens.
B: Tokenizer is a generic term, but in Oracle Text, "Lexer" is the specific component.
C: Filter preprocesses text (e.g., removing stopwords), post-tokenization.
This step enables efficient text search capabilities.

NEW QUESTION # 128
Which three options do NOT change when enabling auto scaling? (Choose three.)

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

Answer: B,D,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 # 129
Which three operations are available for a quarterly maintenance update on Autonomous Container Database? (Choose three.)

A. Apply a partial patch
B. Patch immediately
C. Reschedule patching
D. Reschedule and patch immediately
E. Skip patching

Answer: C,D,E

Explanation:
Oracle Autonomous Container Database (ACD) provides specific options for managing quarterly maintenance updates to ensure minimal disruption and flexibility. The three correct operations available are:
Reschedule and patch immediately (B): This option allows users to adjust the maintenance window to a more convenient time and apply the patch right away within that rescheduled window. It's useful when the default schedule conflicts with business operations but immediate patching is still desired.
Reschedule patching (C): This option enables users to defer the patching to a later maintenance window that suits their operational needs, providing flexibility without applying the patch immediately.
Skip patching (D): Users can choose to skip a quarterly maintenance update entirely, which is beneficial if the current database version is stable and no immediate updates are required. Oracle allows skipping up to two consecutive quarterly updates for Autonomous Container Databases on dedicated infrastructure.
The incorrect options are:
Patch immediately (A): This is not a standalone option for quarterly updates on ACDs. Patching occurs within scheduled maintenance windows, and immediate patching outside of rescheduling is not supported as a distinct choice.
Apply a partial patch (E): Oracle does not support applying partial patches during quarterly maintenance updates. Updates are delivered as complete bundles to ensure consistency and security.
This aligns with Oracle's maintenance policies for Autonomous Databases on dedicated infrastructure, where control over scheduling and skipping is provided, but partial patching is not an option.

NEW QUESTION # 130
You want to enable automatic indexing in a database, but any new auto indexes should be created as invisible indexes, so that they cannot be used in SQL statements. Which command will you use?

A. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE')
B. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF')
C. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT')
D. EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY')

Answer: D

Explanation:
Oracle's automatic indexing feature, available in Autonomous Database, optimizes query performance by creating and managing indexes. The requirement here is to enable it but ensure new indexes are invisible (not used by the optimizer unless explicitly made visible). The correct command is:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY') (C): The REPORT ONLY mode enables automatic indexing, where the database identifies and creates candidate indexes based on workload analysis. However, these indexes are created as invisible by default, meaning the optimizer does not use them in SQL execution plans unless a DBA manually makes them visible (e.g., via ALTER INDEX ... VISIBLE). This mode is ideal for testing or validation without impacting production queries. For example, if a query frequently filters on a column, an invisible index might be created, but it won't affect performance until explicitly activated.
The incorrect options are:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT') (A): The IMPLEMENT mode fully enables automatic indexing, creating and maintaining visible indexes that the optimizer uses immediately. This contradicts the requirement for invisible indexes.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF') (B): The OFF mode disables automatic indexing entirely, so no indexes (visible or invisible) are created, failing the requirement to enable it.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE') (D): There is no INVISIBLE mode in DBMS_AUTO_INDEX.CONFIGURE. While indexes can be set as invisible individually, this is not a valid configuration option for the auto-indexing feature.
The REPORT ONLY mode provides a controlled approach, allowing index creation for analysis without immediate deployment. This is particularly useful in Autonomous Database, where automation is balanced with DBA oversight.

NEW QUESTION # 131
......

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