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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
- 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 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
- 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 5
- 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 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.
Topic 7
- 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.
Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q133-Q138):
NEW QUESTION # 133
Which three of the following data sources are available when using the Data Load page on Database Actions?
- A. REST endpoints
- B. Files in Oracle Cloud Storage
- C. Backup files in block storage
- D. Local Files
- E. Files in AWS S3 Storage
Answer: B,D,E
Explanation:
Full Detailed In-Depth Explanation:
The Data Load page in Database Actions supports loading data from:
A . Local Files: True. Users can upload files from their local device.
B . Files in Oracle Cloud Storage: True. OCI Object Storage is a supported source.
C . REST endpoints: False. REST is not a direct data source for Data Load; it's used for programmatic access.
D . Files in AWS S3 Storage: True. Integration with AWS S3 is supported for cloud flexibility.
E . Backup files in block storage: False. Block storage backups are not accessible via Data Load.
A, B, and D are the correct options per Oracle's documentation.
NEW QUESTION # 134
When working with an Autonomous Exadata Infrastructure supporting Autonomous Databases, where do you go to view the maintenance history of the Exadata?
- A. Under Core Infrastructure then Compute then Autonomous Exadata
- B. Under Solutions and Platforms then Platform Services then Autonomous Exadata
- C. Under Core Infrastructure then Autonomous Exadata
- D. Under Database then Autonomous Transaction Processing then Autonomous Exadata
Answer: B
Explanation:
Viewing the maintenance history of Autonomous Exadata Infrastructure (AEI) requires navigating the OCI console correctly. The correct path is:
Under Solutions and Platforms then Platform Services then Autonomous Exadata (C): In the OCI console, AEI is categorized under "Solutions and Platforms" (a section for integrated services), then "Platform Services" (covering cloud platform offerings), and finally "Autonomous Exadata." Here, you select your AEI instance (e.g., by name or OCID), and the details page displays a "Maintenance History" section listing past events (e.g., patching dates, durations, and statuses like "Completed on 2025-03-01"). For example, a quarterly RU applied on January 15 might show "Patch Applied: RU 23.1" with start/end times. This path reflects AEI's role as a dedicated platform supporting Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs).
The incorrect options are:
Under Core Infrastructure then Compute then Autonomous Exadata (A): "Core Infrastructure" > "Compute" is for virtual machines or bare metal hosts, not Exadata infrastructure. AEI isn't a compute instance; it's a database platform.
Under Database then Autonomous Transaction Processing then Autonomous Exadata (B): "Database" > "Autonomous Transaction Processing" focuses on ATP instances, not the underlying Exadata infrastructure. AEI maintenance is separate from specific ADB types.
Under Core Infrastructure then Autonomous Exadata (D): "Core Infrastructure" doesn't directly list AEI; it's too broad and lacks the "Platform Services" context needed for Exadata-specific management.
This navigation ensures you access AEI-specific maintenance details efficiently.
NEW QUESTION # 135
Which Autonomous Database Cloud Service ignores hints in SQL statements by default?
- A. Neither service ignores hints by default
- B. Autonomous Data Warehouse
- C. Both services ignore hints by default
- D. Autonomous Transaction Processing
Answer: B
Explanation:
Full Detailed In-Depth Explanation:
Oracle Autonomous Database offers two primary services: Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP), each optimized for different workloads. SQL hints are directives embedded in SQL statements to influence the optimizer's execution plan. However, their handling differs between the services:
Autonomous Data Warehouse (ADW): ADW is designed for analytical workloads and data warehousing, where query performance is critical. To ensure optimal execution, ADW's optimizer relies heavily on its own statistics and algorithms, ignoring SQL hints by default. This behavior prevents user-provided hints from overriding the automated optimization strategies tailored for complex analytical queries.
Autonomous Transaction Processing (ATP): ATP targets transactional workloads (OLTP) and provides more flexibility. It does not ignore hints by default, allowing developers and DBAs to use hints to fine-tune query execution plans for specific transactional needs.
Thus, only ADW ignores hints by default, making option C the correct answer. Options A and B are incorrect because ATP does not share ADW's default behavior, and option D incorrectly identifies ATP as the service that ignores hints.
NEW QUESTION # 136
Which two objects are imported when using Data Pump to migrate your Oracle Database to Autonomous Database? (Choose two.)
- A. Reports
- B. Schemas
- C. Tablespaces
- D. Data
Answer: B,D
Explanation:
Data Pump is a standard tool for migrating databases, including to Autonomous Database:
Correct Answer (A): Data is imported, encompassing table contents and other data objects, ensuring all records are transferred to the target Autonomous Database.
Correct Answer (B): Schemas are imported, including schema definitions (tables, views, indexes, etc.) and their metadata, preserving the database structure.
Incorrect Options:
C: Tablespaces are not imported directly. Autonomous Database manages its own storage internally, automatically mapping imported data to its storage architecture without requiring tablespace definitions from the source.
D: Reports are not database objects and are not part of the Data Pump migration process; they are typically generated separately post-migration.
This ensures a complete and functional migration of data and structure.
NEW QUESTION # 137
What two actions can you do when a refreshable clone passes the refresh time limit? (Choose two.)
- A. You can disconnect from the source to make the database a read/write database
- B. You can extend the refresh time limit
- C. You can use the instance as a read-only database
- D. You can manually refresh the clone
Answer: A,C
Explanation:
A refreshable clone in Autonomous Database is a read-only copy of a source database that syncs periodically, but it has a refresh time limit (typically 7 days). Once this limit is exceeded, specific actions are available. The two correct options are:
You can disconnect from the source to make the database a read/write database (B): After the refresh time limit passes, the clone can no longer sync with the source. You can "disconnect" it (via the OCI console or API, e.g., oci db autonomous-database update --is-refreshable-clone false), converting it into an independent, read/write Autonomous Database. This requires a new license and incurs full costs, but it allows modifications (e.g., INSERT or UPDATE) that were blocked in read-only mode. For example, a test clone might be disconnected to become a production instance after testing.
You can use the instance as a read-only database (C): Even after the refresh limit, the clone remains functional as a read-only database, retaining its last refreshed state. You can query it (e.g., SELECT * FROM sales) for analysis or reporting without further refreshes, though it won't reflect source updates. This is useful if ongoing read-only access suffices without needing write capabilities.
The incorrect options are:
You can manually refresh the clone (A): False. Once the refresh time limit (e.g., 7 days) is exceeded, manual refreshes are not possible. The clone's refresh capability expires, and it can't sync again unless recreated. This is a fixed constraint to manage resource usage in ADB.
You can extend the refresh time limit (D): False. The refresh period (set during clone creation, max 7 days) cannot be extended after provisioning. You'd need to create a new clone with a longer limit if needed, but post-expiry, no extension is allowed.
These options provide flexibility post-expiry, balancing read-only continuity and full database conversion.
NEW QUESTION # 138
......
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