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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

• 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 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

• 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.

 

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q94-Q99):

NEW QUESTION # 94
Which Oracle package is used to load data to an Autonomous Database from object storage?

• A. DBMS_RPC
• B. DBMS_LOAD
• C. DBMS_MIGRATE
• D. DBMS_CLOUD

Answer: D

Explanation:
Loading data into Autonomous Database from object storage (e.g., OCI Object Storage) relies on a specific PL/SQL package. The correct answer is:
DBMS_CLOUD (D): The DBMS_CLOUD package is Oracle's cloud-native tool for interacting with external data sources, including object storage, in Autonomous Database. It provides procedures like DBMS_CLOUD.COPY_DATA to load data from files (e.g., CSV, JSON, Parquet) stored in OCI Object Storage buckets into ADB tables. For example, to load a CSV file sales.csv from a bucket, you'd:
BEGIN
DBMS_CLOUD.CREATE_CREDENTIAL(credential_name => 'OBJ_STORE_CRED', username => 'oci_user', password => 'auth_token'); DBMS_CLOUD.COPY_DATA(table_name => 'SALES', credential_name => 'OBJ_STORE_CRED', file_uri_list => 'https://objectstorage.region.oraclecloud.com/n/namespace/b/bucket/o/sales.csv', format => json_object('type' value 'csv')); END; This package handles authentication (via OCI credentials), file parsing, and data insertion, supporting formats like text, Avro, and ORC. It's integral to ADB's cloud integration, abstracting low-level operations and ensuring security (e.g., via IAM auth).
The incorrect options are:
DBMS_RPC (A): This package doesn't exist in Oracle Database. It might be a typo or confusion with remote procedure calls, unrelated to data loading.
DBMS_LOAD (B): No such package exists. It might confuse with SQL*Loader, but that's a separate utility, not a PL/SQL package, and isn't used directly in ADB for object storage.
DBMS_MIGRATE (C): This doesn't exist either. It might be a misnomer for DBMS_DATAPUMP (for Data Pump), but that's for database migration, not object storage loading.
DBMS_CLOUD is purpose-built for ADB's cloud-first architecture, making data ingestion seamless and efficient.

 

NEW QUESTION # 95
Which subset of services is offered via OCI-CLI (Command Line Interface) for Autonomous Database (ADB) via calls made to the OCI APIs?

• A. Create, Get, List, Stop, Restore
• B. Create, Query, Update, List, Start
• C. Start, Delete, Update, Query, Stop
• D. Create, Query, List, Stop, Restore

Answer: A

Explanation:
The OCI Command Line Interface (CLI) provides a range of commands for managing Autonomous Database via OCI APIs. The correct answer is:
Create, Get, List, Stop, Restore (B): These are key operations supported by the OCI CLI for Autonomous Database:
Create: oci db autonomous-database create provisions a new ADB instance.
Get: oci db autonomous-database get retrieves details of a specific ADB.
List: oci db autonomous-database list lists all ADBs in a compartment.
Stop: oci db autonomous-database stop halts the database.
Restore: oci db autonomous-database restore restores from a backup.
The incorrect options are:
A (Start, Delete, Update, Query, Stop): "Query" is not a CLI command; "Delete" and "Update" are valid but not part of this specific subset.
C (Create, Query, Update, List, Start): "Query" is invalid; "Update" is supported but not listed here.
D (Create, Query, List, Stop, Restore): "Query" is not a valid CLI operation.
This subset reflects common management tasks via CLI.

 

NEW QUESTION # 96
As a database architect, you are tasked with configuring a high concurrency, production OLTP (EXAM) application to connect to an Autonomous Transaction Processing database with a requirement to have some reporting queries run in parallel mode. Which connection service is appropriate for such a workload?

• A. TPURGENT
• B. TP
• C. HIGH
• D. MEDIUM

Answer: C

Explanation:
Autonomous Transaction Processing (ATP) provides predefined connection services to optimize different workload types. For a high-concurrency OLTP application with parallel reporting queries, the appropriate service is:
HIGH (C): The HIGH connection service in ATP is designed for workloads requiring high concurrency and throughput, making it ideal for a production OLTP application like "EXAM" that handles many simultaneous transactions (e.g., user requests). Additionally, HIGH supports parallel query execution, which is critical for running reporting queries efficiently during off-peak times. It allocates more resources (e.g., OCPUs and I/O) compared to other services, ensuring performance for both transactional and analytical tasks. For example, the OLTP app might use HIGH to process thousands of concurrent user requests, while a nightly report leverages parallel processing to aggregate data quickly. In the wallet's tnsnames.ora, the HIGH service might look like exam_high = (DESCRIPTION=...), offering the best balance for this mixed workload.
The incorrect options are:
TPURGENT (A): The TPURGENT service prioritizes low-latency, time-critical transactions (e.g., sub-second response times for single-user actions). It's optimized for latency-sensitive operations, not high concurrency or parallel reporting, and would underperform for the broader OLTP and reporting needs here. For instance, it's better suited for a single critical transaction than a multi-user system.
TP (B): The TP (Transaction Processing) service is a general-purpose option for OLTP workloads, offering moderate concurrency and latency. However, it's not optimized for high concurrency or parallel query execution, making it less suitable for a production app with reporting demands. It's a middle ground, not a top-tier performer like HIGH.
MEDIUM (D): The MEDIUM service balances performance and resource usage for moderate workloads. It supports some concurrency but lacks the resource allocation and parallel execution capabilities of HIGH, making it inadequate for a high-concurrency OLTP system with reporting requirements.
The HIGH service's ability to handle both high transactional volume and parallel reporting aligns perfectly with the scenario's strict performance needs, all within ATP's zero-maintenance framework.

 

NEW QUESTION # 97
Which two statements are true about accessing the Autonomous Database Tools?

• A. Database Actions is accessible from a server running on the same virtual cloud network (VCN) when the Autonomous Database is configured with Private Endpoint networking.
• B. Oracle Machine Learning is available only with Autonomous Data Warehouse (ADW) Database.
• C. SQL Developer Web is exclusive to Autonomous Database, not traditional Oracle databases.
• D. Access to Database Actions is available for all users of Autonomous Database.
• E. Oracle APEX can be accessed only from the Developer menu in the Service Console.

Answer: C,E

Explanation:
Full Detailed In-Depth Explanation:
Since only four options are provided but the format requests two answers, I'll assume E from a prior question context. Let's evaluate:
A: True but conditional. Database Actions is accessible with a Private Endpoint, but requires proper network setup (e.g., VCN peering), not guaranteed by default.
B: True. Oracle APEX is accessed exclusively via the "Developer" menu in the Service Console, not other interfaces.
C: False. Oracle Machine Learning (OML) is available in both ADW and ATP, not just ADW.
D: False. Database Actions access requires specific user privileges (e.g., DWROLE), not granted to all users by default.
E (assumed): True. SQL Developer Web is exclusive to Autonomous Database, not traditional Oracle databases.
B and E are the most definitively true statements per documentation.

 

NEW QUESTION # 98
Which three options do NOT change when enabling auto scaling? (Choose three.)

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

Answer: C,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 # 99
......

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