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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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 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 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 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 6	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.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q62-Q67):

NEW QUESTION # 62
Which two optimizations are different between Autonomous Data Warehouse and Autonomous Transaction Processing? (Choose two.)

A. Backup Retention
B. Data Organization
C. Memory Usage
D. Undo Management

Answer: B,C

Explanation:
Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are optimized for different workloads, reflected in their configurations. The two differing optimizations are:
Memory Usage (A): ADW and ATP allocate memory differently to suit their purposes. ADW prioritizes a larger data cache (part of the SGA) to keep more data in memory, boosting analytical query performance (e.g., aggregations over millions of rows). For example, a SELECT SUM(sales) GROUP BY region runs faster with more cached data. ATP, conversely, balances memory across the SGA and PGA for transactional workloads, emphasizing concurrency and quick row-level operations (e.g., UPDATE orders SET status = 'shipped'). This difference ensures ADW excels at scan-heavy analytics, while ATP handles high-throughput updates.
Data Organization (B): ADW uses a columnar storage format (e.g., Hybrid Columnar Compression) optimized for analytics, storing data by column to speed up aggregations and reduce I/O (e.g., scanning only the sales column for a SUM). ATP uses a row-based format suited for OLTP, enabling fast single-row access and updates (e.g., retrieving or modifying a specific order_id). For instance, inserting a row in ATP is efficient due to row storage, while ADW's columnar format accelerates SELECT AVG(price) FROM products.
The incorrect options are:
Backup Retention (C): Both ADW and ATP use the same automatic backup system (via Oracle's Automatic Workload Repository), with a default 60-day retention adjustable by users. There's no optimization difference here; it's a shared managed feature.
Undo Management (D): Both databases use Oracle's Flashback technology for undo (e.g., rolling back transactions or querying past states), with retention periods set similarly. Undo is managed automatically in both, not optimized differently.
These optimizations tailor ADW for analytics and ATP for transactions, despite their shared autonomous foundation.

NEW QUESTION # 63
Which workload is particularly suited to Oracle Autonomous JSON Database?

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

Answer: D

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 # 64
Which statement is FALSE regarding provisioning an Autonomous Database and configuring private endpoints with security rules to allow incoming and outgoing traffic to and from the Autonomous Database instance?

A. The destination port range is set to 1522
B. The IP Protocol is set to TCP
C. The source is set to the address range you want to allow to connect to your database
D. A stateless ingress rule is created to allow connections from the source to the Autonomous Database instance

Answer: D

Explanation:
Configuring private endpoints for Autonomous Database involves network security rules. The false statement is:
A stateless ingress rule is created to allow connections from the source to the Autonomous Database instance (C): This is incorrect. For Autonomous Database private endpoints, security rules (e.g., in Security Lists or NSGs) must be stateful, not stateless. Stateful rules track connection states (e.g., allowing return traffic automatically), which is necessary for Oracle Net Services (SQL*Net) communication over TCP. A stateless rule requires explicit ingress and egress rules for both directions, complicating setup and risking connectivity issues. For example, a stateful ingress rule from a client subnet (e.g., 10.0.1.0/24) to the ADB subnet ensures bidirectional traffic works seamlessly without additional egress rules.
The true statements are:
The IP Protocol is set to TCP (A): Autonomous Database uses TCP for database connections, aligning with Oracle Net Services standards.
The destination port range is set to 1522 (B): Port 1522 is the default for secure TLS connections to Autonomous Database, as specified in the client wallet's tnsnames.ora.
The source is set to the address range you want to allow to connect to your database (D): The security rule defines the source CIDR block (e.g., 10.0.0.0/16) of allowed clients, restricting access to specific subnets or VCNs.
Stateful rules simplify and secure private endpoint configurations.

NEW QUESTION # 65
What is a best practice when planning and instituting access controls for your Autonomous Dedicated environment regarding subnets, compartments, and user groups?

A. Only 1 subnet and 1 compartment are allowed, multiple groups highly advised.
B. Create at least 2 of each resource.
C. Only 1 of each is allowed to be allocated per environment.
D. Create a separate VCN that contains only public subnets.

Answer: B

Explanation:
When designing access controls for an Autonomous Dedicated environment, Oracle recommends redundancy and separation for security and manageability:
Correct Answer (D): "Create at least 2 of each resource" (subnets, compartments, user groups) is a best practice:
Subnets: Using at least two subnets (e.g., one public, one private) enhances security by segregating traffic and provides failover options if one subnet encounters issues.
Compartments: Multiple compartments allow logical separation (e.g., dev, test, prod), simplifying access control and resource management.
User Groups: At least two groups (e.g., admins, developers) streamline permission assignments and reduce the risk of over-privileging users.
Incorrect Options:
A: OCI allows multiple subnets and compartments; restricting to one limits flexibility and security.
B: There's no such limitation; multiple resources are supported and encouraged.
C: A VCN with only public subnets contradicts security best practices, as private subnets are critical for database isolation.
This approach aligns with Oracle's guidance for secure and scalable deployments.

NEW QUESTION # 66
Which file is NOT a component of the client credentials wallet used to connect to an Oracle Autonomous Database?

A. protocol.ora
B. ewallet.p12
C. keystore.jks
D. sqlnet.ora
E. cwallet.sso

Answer: A

Explanation:
The client credentials wallet for connecting to an Oracle Autonomous Database contains specific files required for secure connectivity. These files are downloaded from the OCI Console when you generate a wallet:
Correct Answer (A): protocol.ora is not a standard component of the client credentials wallet. It is typically used in traditional Oracle Database setups to define protocol parameters (e.g., TCP vs. IPC), but in Autonomous Database, such details are managed by Oracle and embedded within other wallet files like ewallet.p12.
Included Files:
B . ewallet.p12: Contains the encrypted private key and certificates for authentication.
C . sqlnet.ora: Specifies network configuration details (e.g., wallet location, encryption settings).
D . keystore.jks: A Java KeyStore file for Java-based applications to authenticate with the database.
E . cwallet.sso: Supports single sign-on (SSO) by storing service credentials.
Additionally, tnsnames.ora and truststore.jks (not listed here but mentioned in the original) are also part of the wallet, defining service aliases and trusted certificates, respectively. Since protocol.ora is not included or required, it's the correct exclusion.

NEW QUESTION # 67
......

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