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Oracle 1Z0-931-25 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 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
- 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 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
- 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
- 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 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 (Q33-Q38):
NEW QUESTION # 33
Which three are use cases for Graph Studio? (Choose three.)
- A. Churn analysis
- B. 3-D modelling
- C. Clustering
- D. Facial recognition
- E. Pattern matching
Answer: A,C,E
Explanation:
Graph Studio in Autonomous Database supports graph-based analysis:
Correct Answer (C): Pattern matching identifies relationships (e.g., fraud rings) using graph queries like PGQL.
Correct Answer (D): Clustering groups related nodes (e.g., communities) using graph algorithms.
Correct Answer (B): Churn analysis leverages graph relationships to predict customer loss (e.g., via influence networks), though less emphasized than C and D, it's a valid use case.
Incorrect Options:
A: Facial recognition is image-based, not graph-based.
E: 3-D modelling is a misinterpretation; it's not a primary graph use case.
These align with Graph Studio's strengths in relationship analysis.
NEW QUESTION # 34
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. A stateless ingress rule is created to allow connections from the source to the Autonomous Database instance
- B. The destination port range is set to 1522
- C. The source is set to the address range you want to allow to connect to your database
- D. The IP Protocol is set to TCP
Answer: A
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 # 35
Which two infrastructure types support deployment of Oracle Autonomous Database? (Choose two.)
- A. Shared Exadata Infrastructure
- B. Dedicated Exadata Infrastructure
- C. Virtual Machines on Oracle Cloud Infrastructure
- D. Oracle Bare Metal Servers
Answer: A,B
Explanation:
Oracle Autonomous Database is designed to run on specific infrastructure optimized for its managed capabilities:
Correct Answer (B): Dedicated Exadata Infrastructure provides a fully dedicated Exadata system for a single tenant, offering maximum isolation, performance, and customization (e.g., maintenance scheduling).
Correct Answer (D): Shared Exadata Infrastructure allows multiple Autonomous Database instances to share Exadata resources, providing a cost-effective option for smaller workloads while retaining automation benefits.
Incorrect Options:
A: Virtual Machines (VMs) on OCI are not a supported deployment platform for Autonomous Database. It requires Exadata hardware for its self-managing features, unlike traditional OCI VMs used for manual database setups.
C: Oracle Bare Metal Servers are not used for Autonomous Database; they lack the specialized Exadata architecture needed for its autonomous operations.
These infrastructure types ensure high performance and scalability tailored to Autonomous Database's requirements.
NEW QUESTION # 36
Oracle Data Safe is a unified control center for your Oracle databases which helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Which statement is FALSE for Oracle Data Safe?
- A. Oracle Data Safe helps you assess the security of your cloud database configurations by analyzing database configurations
- B. Oracle Data Safe helps you find sensitive data in your database by inspecting the actual data in your database and its data dictionary
- C. Oracle Data Safe evaluates user types, how users are authenticated, and the password policies assigned to each user
- D. Oracle Data Safe only supports Autonomous Database
Answer: D
Explanation:
Oracle Data Safe enhances database security across various Oracle environments. The false statement is:
Oracle Data Safe only supports Autonomous Database (D): This is incorrect. Oracle Data Safe supports a wide range of Oracle databases, not just Autonomous Database. It works with Autonomous Database (shared and dedicated), Oracle Database Cloud Service (VM and Bare Metal), Exadata DB Systems, on-premises Oracle Databases, and Oracle Database on OCI Compute. For example, a DBA could use Data Safe to mask sensitive data in an on-premises 19c database or assess security in an Exadata Cloud@Customer deployment, not just ADB. This broad compatibility makes it a unified security tool across Oracle's ecosystem.
The true statements are:
Oracle Data Safe helps you find sensitive data in your database by inspecting the actual data in your database and its data dictionary (A): Data Safe's Data Discovery feature scans tables and metadata to identify sensitive columns (e.g., SSNs, credit card numbers), using predefined and custom patterns.
Oracle Data Safe helps you assess the security of your cloud database configurations by analyzing database configurations (B): The Security Assessment feature evaluates settings like encryption, auditing, and privileges, providing risk scores and recommendations.
Oracle Data Safe evaluates user types, how users are authenticated, and the password policies assigned to each user (C): User Assessment analyzes user accounts, authentication methods (e.g., password, SSO), and policies, highlighting risks like weak passwords.
The misconception in D limits Data Safe's scope, which extends beyond ADB to all supported Oracle databases.
NEW QUESTION # 37
Which statement is FALSE about setting up compartment quotas?
- A. Quotas set on a parent compartment override quotas set on child compartments.
- B. Compartment quotas cannot be set on the root compartment.
- C. Compartment quotas use policies that allow allocation of resources with a high level of flexibility.
- D. You cannot manage quotas in a compartment unless you belong to a group that has the correct permissions.
Answer: B
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 # 38
......
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