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Oracle 1Z0-931-25 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 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
- 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
- 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 5
- 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 6
- 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 7
- 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.
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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q114-Q119):
NEW QUESTION # 114
Which are two available options when creating an Autonomous Database? (Choose two.)
- A. APEX Service on Dedicated Infrastructure
- B. Autonomous JSON Database on Shared Infrastructure
- C. APEX Service on Shared Infrastructure
- D. Autonomous JSON Database on Dedicated Infrastructure
Answer: A,B
Explanation:
Creating an Autonomous Database offers specific deployment options. The two correct ones are:
APEX Service on Dedicated Infrastructure (A): This option provisions an Autonomous Database on dedicated Exadata infrastructure with Oracle Application Express (APEX) pre-installed and optimized. It's ideal for APEX-based apps (e.g., custom web forms) requiring isolated resources. In the OCI console, you select "Dedicated Infrastructure" and "APEX Service" as the workload type, specifying OCPUs and storage. For example, a company might deploy an APEX app for internal reporting on a dedicated ACD, ensuring performance isolation from other tenants.
Autonomous JSON Database on Shared Infrastructure (C): This creates a schema-less, JSON-centric ADB on shared infrastructure, optimized for document storage (e.g., { "order_id": 123, "items": [...] }). It's provisioned via the OCI console under "Shared Infrastructure," selecting "JSON Database" as the workload type. For instance, a mobile app might use it to store user data, leveraging SQL/JSON queries like SELECT JSON_VALUE(doc, '$.order_id'). It's cost-effective and fully managed, sharing Exadata resources.
The incorrect options are:
APEX Service on Shared Infrastructure (B): There's no distinct "APEX Service" workload type on shared infrastructure. APEX is available within ATP or ADW on shared infra, but it's not a standalone option-you'd provision ATP and enable APEX manually, not as a dedicated "APEX Service." Autonomous JSON Database on Dedicated Infrastructure (D): JSON Database is only offered on shared infrastructure, not dedicated. Dedicated options include ATP, ADW, and APEX Service, but JSON Database leverages shared resources for simplicity and cost.
These options cater to specific app development (APEX) and NoSQL (JSON) needs.
NEW QUESTION # 115
Which three security features are available in Oracle Autonomous Database Shared Infrastructure? (Choose three.)
- A. Customer Managed Keys
- B. Transparent Data Encryption
- C. Data Redaction
- D. Audit Vault
- E. Database Vault
Answer: A,B,E
Explanation:
Oracle Autonomous Database Shared Infrastructure offers built-in security features to protect data and ensure compliance. The three correct features are:
Customer Managed Keys (A): This feature allows customers to use their own encryption keys for Transparent Data Encryption (TDE), stored in Oracle Key Vault or OCI Vault. It gives control over key management, enhancing security by ensuring only the customer can decrypt data. For example, a company might generate a key in OCI Vault, link it to their ADB, and rotate it periodically, all managed outside Oracle's default keys.
Database Vault (D): Oracle Database Vault enforces fine-grained access controls, preventing unauthorized access to sensitive data even by privileged users (e.g., DBAs). In ADB shared infrastructure, it's available to restrict operations like SELECT on specific schemas, adding a layer of protection against internal threats. For instance, it could block an admin from viewing customer PII unless explicitly permitted.
Transparent Data Encryption (E): TDE is enabled by default in Autonomous Database, encrypting data at rest (e.g., in tablespaces, backups, and logs) using AES-256. This ensures that if physical storage is compromised, the data remains unreadable without the encryption key. Customers can opt for customer-managed keys (A) or use Oracle-managed keys, but TDE itself is always active.
The incorrect options are:
Audit Vault (B): Oracle Audit Vault is a separate product for centralized audit log management, not a built-in feature of ADB shared infrastructure. While ADB performs auditing, it doesn't include Audit Vault's advanced capabilities natively.
Data Redaction (C): Data Redaction (masking sensitive data in query results) is available in on-premises Oracle Database Enterprise Edition but is not supported in Autonomous Database shared infrastructure. ADB's managed nature limits such custom configurations, relying instead on TDE and Database Vault for security.
These features collectively ensure robust security with minimal customer effort in a shared environment.
NEW QUESTION # 116
Which statement is FALSE about setting up compartment quotas?
- A. Compartment quotas cannot be set on the root compartment.
- B. You cannot manage quotas in a compartment unless you belong to a group that has the correct permissions.
- C. Quotas set on a parent compartment override quotas set on child compartments.
- D. Compartment quotas use policies that allow allocation of resources with a high level of flexibility.
Answer: A
Explanation:
Compartment quotas in Oracle Cloud Infrastructure (OCI) manage resource allocation:
Correct Answer (D): "Compartment quotas cannot be set on the root compartment" is false. Quotas can be applied to any compartment, including the root compartment, to limit resource usage tenancy-wide. While direct quotas on the root are less common (child compartment quotas are typically used), it's technically possible via OCI policies.
True Statements:
A: Quotas offer flexible resource limits (e.g., OCPUs, storage) via policy statements.
B: Parent compartment quotas take precedence over child quotas, enforcing hierarchical control.
C: Managing quotas requires appropriate IAM permissions (e.g., manage quotas), ensuring security.
This flexibility supports granular resource management across the tenancy.
NEW QUESTION # 117
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. MEDIUM
- B. HIGH
- C. TP
- D. TPURGENT
Answer: B
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 # 118
Which three are Oracle-recommended best practices for Autonomous Database alarms? (Choose three.)
- A. Suppress alarms during investigations
- B. Routinely tune your alarms
- C. Create multiple alarm metrics
- D. Select the correct alarm interval for your metric.
Answer: A,B,D
Explanation:
Oracle recommends best practices for effective alarm management:
Correct Answer (A): Suppress alarms during investigations prevents notification overload while troubleshooting, focusing attention on the issue.
Correct Answer (C): Select the correct alarm interval for your metric ensures timely alerts without excessive noise (e.g., 1-minute intervals for critical metrics).
Correct Answer (D): Routinely tune your alarms adjusts thresholds and settings to match workload changes, maintaining relevance.
Incorrect Option:
B: Creating multiple alarm metrics isn't explicitly recommended; quality and tuning of alarms matter more than quantity.
These practices optimize monitoring efficiency.
NEW QUESTION # 119
......
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