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Exam 1Z0-931-25 Tests & New 1Z0-931-25 Test Question

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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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 4

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 5

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 6

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.

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Free PDF 2025 Oracle 1Z0-931-25: Exam Oracle Autonomous Database Cloud 2025 Professional Tests

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q39-Q44):

NEW QUESTION # 39
Which four levels of access can be defined in policies? (Choose four.)

A. Read
B. Manage
C. Inspect
D. Use
E. Create

Answer: A,B,C,D

Explanation:
Oracle Cloud Infrastructure (OCI) Identity and Access Management (IAM) defines four verb levels for policy permissions:
Read (B): Allows viewing resource details without modification (e.g., read autonomous-databases).
Manage (C): Permits full control, including creating, updating, and deleting resources (e.g., manage autonomous-databases).
Inspect (D): Enables listing resources and basic metadata without detailed access (e.g., inspect autonomous-databases).
Use (E): Allows interaction with resources (e.g., connecting to a database) without altering their configuration.
Incorrect Option:
Create (A): "Create" is not a standalone verb; it's part of the manage verb, which includes creation, update, and deletion actions.
These levels provide granular control over resource access in OCI.

NEW QUESTION # 40
Which four file formats are supported when loading data from Cloud Storage?

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

Answer: A,C,D,E

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 # 41
Oracle Autonomous Database on Dedicated Infrastructure is composed of which Oracle Cloud resources?

A. Fleet Administrator, Database Administrator, Database User, Autonomous Exadata Infrastructure
B. Virtual Cloud Network, Compartments, Policies, Autonomous Exadata Infrastructure
C. Autonomous Exadata Infrastructure, Autonomous Backup, Autonomous Container Database, Autonomous Database
D. Oracle Machine Learning Zeppelin Notebook, Autonomous Exadata Infrastructure, Fleet Administrator, Database Administrator

Answer: C

Explanation:
Full Detailed In-Depth Explanation:
Autonomous Database on Dedicated Infrastructure comprises:
Autonomous Exadata Infrastructure: The hardware and software foundation.
Autonomous Container Database: Hosts multiple ADB instances.
Autonomous Database: The managed database instance.
Autonomous Backup: Automatic backups to OCI Object Storage.
Other options include roles (B, C) or general OCI resources (D), not core components of the service. A is the correct composition.

NEW QUESTION # 42
What happens with the standby database when disabling Autonomous Data Guard?

A. The standby database is started read-only
B. The standby database is terminated.
C. The standby database is transformed into a refreshable clone
D. The standby database is started read-write

Answer: B

Explanation:
Disabling Autonomous Data Guard affects the standby database:
Correct Answer (A): "The standby database is terminated" is true. When Data Guard is disabled via the OCI Console or API, the standby database is deleted, ending its role as a replica. This is a permanent action requiring re-enablement to recreate a standby.
Incorrect Options:
B: The standby doesn't become read-write; it's removed entirely.
C: It doesn't remain read-only; termination stops all operations.
D: It's not converted to a refreshable clone; that's a separate feature.
This ensures resource cleanup when high availability is no longer needed.

NEW QUESTION # 43
Which workload is particularly suited to Oracle Autonomous JSON Database?

A. Schema-less, document-centric
B. Transactions
C. Data Lakes
D. Data Marts

Answer: A

Explanation:
Oracle Autonomous JSON Database is a specialized variant of Autonomous Database. The correct workload is:
Schema-less, document-centric (D): Autonomous JSON Database is designed for applications needing flexible, schema-less data storage and retrieval, particularly JSON documents. It's a NoSQL-style database optimized for document-centric workloads, such as web or mobile apps storing user profiles, IoT data, or content management systems. For example, a social media app might store user posts as JSON documents { "user": "John", "post": "Hello world" }, allowing dynamic field additions without schema changes. It supports SQL/JSON queries (e.g., SELECT JSON_VALUE(doc, '$.user')), blending relational and NoSQL benefits, and auto-manages indexing for performance.
The incorrect options are:
Data Marts (A): Data marts are structured, analytical stores for aggregated data, better suited to Autonomous Data Warehouse (ADW), which excels at columnar storage and complex queries, not JSON's flexible format.
Transactions (B): Traditional OLTP transactions (e.g., banking records) are the domain of Autonomous Transaction Processing (ATP), which uses rigid schemas for consistency, unlike JSON Database's schema-less approach.
Data Lakes (C): Data lakes store raw, mixed-format data (e.g., JSON, CSV, Parquet) for later processing, typically in object storage, not a managed database like Autonomous JSON. While JSON Database handles JSON, it's not a data lake replacement.
This workload leverages JSON Database's agility for modern, unstructured data applications.

NEW QUESTION # 44
......

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Tony Shaw Tony Shaw

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