2025 Oracle High-quality 1Z0-931-25: Exam Oracle Autonomous Database Cloud 2025 Professional Outline

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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	Migrating to Autonomous Database: This section of the exam measures the skills of Cloud Migration Specialists and covers strategies for migrating existing databases to Autonomous Database. It includes understanding migration considerations, and available options, and using Oracle Data Pump to transfer data seamlessly while minimizing downtime, ensuring smooth transitions to Oracle Cloud infrastructure.
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.
Topic 5	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 6	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 7	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 (Q135-Q140):

NEW QUESTION # 135
You see a clock icon in the Status column on the SQL Monitoring tab of Performance Hub. What does it indicate?

A. The SQL statement is executing.
B. The SQL statement completed its execution.
C. The SQL statement did not complete either due to an error.
D. The SQL statement is queued.

Answer: D

Explanation:
The Performance Hub in Autonomous Database provides real-time SQL monitoring with status indicators:
Correct Answer (A): A clock icon in the Status column indicates "The SQL statement is queued." This means the statement is waiting in a queue (e.g., due to resource limits or consumer group settings) and has not yet started executing.
Incorrect Options:
B: An executing statement typically shows a green progress bar or running icon, not a clock.
C: An error would display a red icon or error symbol, often with details in the UI.
D: A completed statement shows a checkmark or similar success indicator.
This visual cue helps identify resource contention or scheduling delays.

NEW QUESTION # 136
Which two methods can you use to create database users and grant roles in Autonomous Database services?

A. DBMS_CLOUDADMIN package
B. Oracle Cloud Infrastructure (OCI) service console
C. SQL Developer
D. SQL*Plus

Answer: C,D

Explanation:
Full Detailed In-Depth Explanation:
User and role management in Autonomous Database:
A: False. OCI console manages infrastructure, not database users.
B: True. SQL Developer provides a GUI for user/role administration.
C: False. DBMS_CLOUDADMIN is for cloud-specific tasks, not user creation.
D: True. SQL*Plus allows direct SQL commands for user/role management.

NEW QUESTION # 137
Which statement is FALSE about Oracle Autonomous JSON Database?

A. There is a 20 GB limit on JSON collection.
B. JSON data is stored natively in the database.
C. You can promote Autonomous JSON Database to Autonomous Transaction Processing.
D. It supports NoSQL-style, document-centric applications.

Answer: A

Explanation:
Full Detailed In-Depth Explanation:
The Oracle Autonomous JSON Database is a specialized service for managing JSON data with NoSQL-style capabilities. Let's evaluate each statement:
A . It supports NoSQL-style, document-centric applications: True. Autonomous JSON Database is designed for NoSQL workloads, supporting document-based applications via APIs like SODA (Simple Oracle Document Access).
B . There is a 20 GB limit on JSON collection: False. The Oracle documentation does not specify a fixed 20 GB limit on JSON collections. Storage capacity is determined by the overall database size, which can scale dynamically without a specific cap on individual collections. This makes B the false statement.
C . JSON data is stored natively in the database: True. JSON data is stored in a binary format optimized for performance, avoiding the need for parsing or transformation during access.
D . You can promote Autonomous JSON Database to Autonomous Transaction Processing: True. Oracle allows promoting an Autonomous JSON Database to ATP, enabling relational capabilities if application needs evolve.
The false claim about a 20 GB limit likely stems from confusion with other database constraints, but no such restriction exists for JSON collections in Autonomous JSON Database.

NEW QUESTION # 138
What are three methods to load data into the Autonomous Database? (Choose three.)

A. Oracle GoldenGate
B. Transportable Tablespace
C. SQL*Loader
D. Oracle Data Pump
E. RMAN Restore

Answer: A,C,D

Explanation:
Autonomous Database supports multiple methods for loading data, tailored to its cloud-managed nature. The three correct methods are:
Oracle Data Pump (A): Data Pump is a versatile tool for importing data into Autonomous Database. You export data from a source database (e.g., using expdp), upload the dump files to OCI Object Storage, and then use the DBMS_CLOUD package (e.g., DBMS_CLOUD.COPY_DATA) to import it. It's ideal for bulk data migration, supporting complex schemas and large datasets. For example, a DBA might export a schema from an on-premises database, upload it to a bucket, and import it into ADB with minimal downtime.
Oracle GoldenGate (C): GoldenGate enables real-time data replication from source databases (on-premises or cloud) to Autonomous Database. It's perfect for continuous data loading or synchronization, supporting both initial loads and ongoing change data capture. For instance, you could replicate transactional data from an OLTP system to ADB using GoldenGate's CDC (Change Data Capture) capabilities, ensuring near-zero latency.
SQL*Loader (E): SQL*Loader loads data from flat files (e.g., CSV, text) into Autonomous Database. You upload files to OCI Object Storage and use DBMS_CLOUD procedures (e.g., DBMS_CLOUD.LOAD_DATA) to process them. It's efficient for structured data imports, like loading a CSV of customer records, with options to handle errors and transformations.
The incorrect options are:
RMAN Restore (B): Recovery Manager (RMAN) is for backups and restores, not general data loading. While it can restore an ADB from a backup, it's not a method for loading new data into an existing instance.
Transportable Tablespace (D): This method moves tablespaces between databases by copying data files, but it's not supported in Autonomous Database due to its managed architecture, which restricts direct file-level operations.
These methods cater to different use cases: Data Pump for migrations, GoldenGate for replication, and SQL*Loader for file-based loads.

NEW QUESTION # 139
Which is NOT needed to manage Oracle Autonomous Database with REST APIs?

A. Tenancy's OCID
B. Database ADMIN password
C. User's OCID
D. Fingerprint of the public key

Answer: B

Explanation:
Managing Autonomous Database via REST APIs relies on OCI authentication:
Correct Answer (D): "Database ADMIN password" is not needed. REST API access uses OCI IAM credentials, not database-level credentials like the ADMIN password.
Required Items:
A: User's OCID identifies the API caller.
B: Tenancy's OCID specifies the cloud environment.
C: Fingerprint of the public key authenticates API requests with a private-public key pair.
This ensures secure, external management without exposing database credentials.

NEW QUESTION # 140
......

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2025 Oracle High-quality 1Z0-931-25: Exam Oracle Autonomous Database Cloud 2025 Professional Outline

Oracle 1Z0-931-25 Exam Syllabus Topics:

2025 High-quality Exam 1Z0-931-25 Outline | Oracle Autonomous Database Cloud 2025 Professional 100% Free Test Questions Pdf

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q135-Q140):

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