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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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

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.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q23-Q28):

NEW QUESTION # 23
Which is a feature of a graph query language?

A. Ability to specify patterns
B. Run key-value queries
C. Object-oriented language
D. Scripting language

Answer: A

Explanation:
Graph query languages, like Oracle's Property Graph Query Language (PGQL), are designed for graph databases:
Correct Answer (D): "Ability to specify patterns" is a defining feature. Graph queries excel at defining and matching patterns (e.g., nodes and edges) to explore relationships, such as finding paths or subgraphs, critical for applications like social network analysis or fraud detection.
Incorrect Options:
A: Key-value queries are typical of NoSQL key-value stores, not graph databases.
B: While scripting may be possible in some contexts, it's not a core feature of graph query languages.
C: Graph query languages are not inherently object-oriented; they focus on relational graph structures.
This pattern-matching capability distinguishes graph queries from other query paradigms.

NEW QUESTION # 24
Which statement is FALSE about Oracle Autonomous JSON Database?

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

Answer: D

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 # 25
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 a separate VCN that contains only public subnets.
C. Create at least 2 of each resource.
D. Only 1 of each is allowed to be allocated per environment.

Answer: C

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 # 26
During the provisioning of an Autonomous Database on dedicated hardware, what should the database administrator select to determine where the Autonomous Database is created on the dedicated infrastructure?

A. The Listener endpoint where the Autonomous Database should register on.
B. The Client Credentials wallet, which is used to connect to the Autonomous Database.
C. The compartment of the dedicated infrastructure because each compartment only runs one dedicated environment.
D. The container database in which the Autonomous instance should run.

Answer: D

Explanation:
Full Detailed In-Depth Explanation:
When provisioning an Autonomous Database (ADB) on dedicated infrastructure, the placement within the infrastructure is critical:
A . Listener endpoint: Incorrect. This is for connectivity, not placement.
B . Client Credentials wallet: Incorrect. This is for secure connections, not determining location.
C . The container database in which the Autonomous instance should run: Correct. On dedicated infrastructure, an Autonomous Container Database (ACD) hosts multiple ADB instances. Selecting the ACD during provisioning determines where the ADB resides, affecting resource allocation and isolation.
D . The compartment: Incorrect. Compartments organize resources in OCI, but multiple ACDs can exist within a compartment, so this doesn't pinpoint the exact location.
Choosing the ACD is a key provisioning step for dedicated deployments.

NEW QUESTION # 27
While provisioning a dedicated Autonomous Container Database, which backup retention period CANNOT be implemented?

A. 120 days
B. 60 days
C. 15 days
D. 7 days

Answer: A

Explanation:
Full Detailed In-Depth Explanation:
When provisioning an Autonomous Container Database (ACD) on dedicated infrastructure, Oracle provides specific options for backup retention periods to balance data recovery needs with storage costs. According to the official Oracle documentation, the available backup retention periods for a dedicated ACD are:
7 days: This is the default retention period for a newly provisioned ACD.
15 days: An option for extended retention beyond the default.
60 days: The maximum supported retention period for ACDs, offering the longest recovery window.
The option of 120 days is not supported as a backup retention period for an Autonomous Container Database. This limitation is due to the design of the Autonomous Database service, which caps retention at 60 days to optimize storage and performance on dedicated Exadata infrastructure. Attempting to set a retention period beyond 60 days is not an available choice during provisioning. Users must select a retention period that meets their recovery point objectives (RPO) within these constraints, noting that longer retention increases storage usage and associated costs.

NEW QUESTION # 28
......

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