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| Section | Weight | Objectives |
|---|---|---|
| Implementing Autonomous Database Fundamentals | - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities - Describe Autonomous Database architecture and key features | |
| Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Implementing Autonomous Database Dedicated Deployments | 20% | - Configure Autonomous Database Dedicated Infrastructure - Manage dedicated deployment resources - Apply security and isolation features |
| Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Designing Unified Data Management and AI Analytics Solutions | - Implement JSON, graph, spatial, and text data capabilities - Apply analytics and AI-driven data solutions - Use data sharing and integration features | |
| Implementing Model Context Protocol (MCP) Server Integration | - Integrate AI applications with Autonomous Database services - Understand MCP Server integration concepts | |
| Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Monitor database performance and resource usage - Optimize workloads and database performance - Manage backup, recovery, and availability features |
| Applying Autonomous Database Serverless Architectures | - Configure Autonomous Database Serverless environments - Manage compute resources and auto scaling - Implement connectivity and access methods |
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問題 #94
You need to set up a notification for a scheduled shutdown of an Autonomous Database instance. What should you do?
答案：A
解題說明：
Setting up notifications for scheduled shutdowns leverages OCI Events:
Correct Answer (A): Creating a rule for the 'Autonomous Database STOP END' event in OCI Events triggers a notification (e.g., email via Notification Service) when the shutdown completes. This is the recommended method for tracking lifecycle events in Autonomous Database.
Incorrect Options:
B: There is no specific “Shutdown” metric in OCI Metrics; alarms monitor performance metrics, not lifecycle events like shutdowns.
C: Database triggers like BEFORE SHUTDOWN are not supported in Autonomous Database due to its managed nature, and they wouldn’t integrate with OCI notifications.
D: DBMS_SNMP is for network management, not event notifications in Autonomous Database.
This approach ensures reliable, external notification of shutdown events.
問題 #95
What predefined user is created when provisioning an Autonomous Database (ADB) instance to which you connect to create other users and grant roles?
答案：B
解題說明：
When provisioning an Autonomous Database (ADB) instance, Oracle creates a default administrative user with extensive privileges. The correct user is:
ADMIN (B): The ADMIN user is automatically created during ADB provisioning and serves as the primary administrative account. It has full privileges to manage the database, including creating users, granting roles, and performing administrative tasks (e.g., scaling, backups). For example, after provisioning an ADB via the OCI console, you’d connect as ADMIN using the password you set, then run commands like: CREATE USER analyst1 IDENTIFIED BY "password"; GRANT CONNECT, RESOURCE TO analyst1;. This user is the entry point for initial configuration and ongoing management, authenticated via the client wallet for secure access (e.g., sqlplus admin/password@adb_high). The ADMIN user is distinct from traditional Oracle users like SYS because ADB’s managed nature limits direct system-level access, funneling administration through ADMIN.
The incorrect options are:
SYS (A): In traditional Oracle databases, SYS is the superuser with ultimate control (e.g., owning the data dictionary). In ADB, however, SYS exists but is locked and inaccessible to customers due to the fully managed environment—Oracle manages system-level operations, and users connect as ADMIN instead.
DWDEV (C): There’s no predefined DWDEV user in ADB. This might confuse with roles like DWROLE (for Data Warehouse developers), but no such user is created by default.
SCOTT (D): SCOTT is a sample user from older Oracle versions (with tables like EMP and DEPT), not created in ADB. It’s irrelevant in this modern, managed context.
The ADMIN user’s role ensures customers can manage ADB without needing Oracle’s intervention, aligning with its autonomous design.
問題 #96
Your customer has upgraded their on-premises 11.2 Database to 12.2. During this migration, the database was migrated to a pluggable database (PDB) and is now in production. How should the customer unplug their database to migrate to an Autonomous Database?
答案：A
解題說明：
Migrating a PDB to Autonomous Database has limitations:
Correct Answer (B): “PDBs cannot be migrated to an Autonomous Database using plug, unplug, or clone” is true. Autonomous Database does not support direct plugging/unplugging of PDBs due to its managed architecture and differing storage/backup mechanisms.
Incorrect Options:
A: Unplugging into an XML file is valid for traditional PDBs, but Autonomous Database doesn’t accept this for migration.
C: Cloning via database link isn’t a standard method; it’s more aligned with replication tools like GoldenGate.
D: PDB archives (e.g., .pdb files) are not supported for direct import into Autonomous Database.
Instead, use tools like Data Pump or GoldenGate for migration.
問題 #97
Which statement is true about OCPUs and storage when you choose to scale your Autonomous Database?
答案：D
解題說明：
Scaling resources in Autonomous Database offers flexibility. The true statement is:
OCPUs and storage can be scaled independently (A): In Autonomous Database, you can adjust the number of OCPUs (compute resources) and storage capacity (in terabytes) separately via the OCI console or CLI. For example, you might provision an ADB with 2 OCPUs and 1 TB of storage. Later, you could scale to 4 OCPUs without changing storage, or increase storage to 2 TB without touching OCPUs. This decoupling allows tailored resource allocation—e.g., more compute for a CPU-intensive workload or more storage for growing data—without over-provisioning. Scaling is online, with no downtime, and status shows “SCALING IN PROGRESS” during the operation.
The incorrect options are:
Use auto scaling to increase storage (B): Auto scaling applies to OCPUs only, allowing up to 3x the base CPU allocation dynamically. Storage scaling is manual; you specify a new size (e.g., via oci db autonomous-database update), not via auto scaling.
Increasing OCPUs will automatically increase storage (C): There’s no automatic linkage between OCPU and storage scaling. They are independent parameters, and increasing one does not affect the other unless explicitly requested.
OCPUs and storage must remain in sync (D): No such synchronization is required. You can have 1 OCPU with 10 TB or 10 OCPUs with 1 TB, depending on workload needs.
This independence is a hallmark of Autonomous Database’s elasticity.
問題 #98
Which two statements are true regarding active transactions when scaling OCPUs in an Autonomous Database? (Choose two.)
答案：B,C
解題說明：
Scaling OCPUs in Autonomous Database is designed to be seamless. The two true statements are:
Scaling can happen while there are active transactions in the database (B): ADB supports online scaling, meaning you can increase or decrease OCPUs (e.g., from 2 to 4) via the OCI console or CLI (e.g., oci db autonomous-database update --cpu-core-count 4) without stopping the database. Active transactions (e.g., INSERT INTO orders VALUES (...)) continue running during this process. Oracle’s architecture ensures the database remains available, adjusting resources in the background. For example, a web app processing orders won’t notice the scaling operation starting at 10:00 AM.
Active transactions continue running unaffected (C): During scaling, existing transactions are not interrupted, terminated, or paused. They complete normally, with Oracle managing resource allocation transparently (e.g., shifting CPU usage without killing sessions). For instance, a long-running UPDATE statement started before scaling finishes successfully, leveraging the database’s high-availability design. The status shows “SCALING IN PROGRESS,” but users experience no downtime.
The incorrect options are:
Active transactions are terminated and rolled back (A): False. Scaling is non-disruptive; transactions aren’t killed or rolled back, preserving data integrity and user experience. Termination only occurs during explicit stops or failures, not scaling.
Active transactions are paused (D): False. There’s no pausing mechanism during scaling; transactions run continuously, as pausing would disrupt OLTP or analytical workloads, countering ADB’s autonomous promise.
This online scaling capability is a key benefit, ensuring uninterrupted service.
問題 #99
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