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| Section | Objectives |
|---|---|
| Topic 1: Provisioning and Deployment | - Configure networking and connectivity - Create and provision Autonomous AI Database - Select workload type and deployment options |
| Topic 2: Administration and Operations | - Manage users and security - Scale compute and storage resources - Monitor database health and performance |
| Topic 3: Performance, Backup and Recovery | - Backup and restore operations - Performance tuning - High availability and disaster recovery |
| Topic 4: Security and Integration | - Automate administrative tasks - Implement database security features - Integrate with Oracle Cloud services |
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質問 # 52
Which three options are supported when migrating to Autonomous Database (ADB)? (Choose three.)
正解：A、E、F
解説：
Migrating to Autonomous Database supports multiple methods. The three correct options are:
GoldenGate on-premise installation (A): Oracle GoldenGate (on-prem) replicates data from source databases (e.g., Oracle, MySQL) to ADB, supporting real-time or batch migration. You install GoldenGate on-prem, configure extract/replicat processes (e.g., extracting from an Oracle 19c source), and target an ADB instance using credentials and wallet. For example, it might sync an on-prem ORDERS table to ADB with near-zero latency, ideal for live migrations.
GoldenGate Cloud Service (D): GoldenGate Cloud Service, a managed OCI offering, performs the same replication but runs in the cloud. You provision it via OCI Marketplace, configure it to pull from a source (e.g., on-prem or another cloud), and push to ADB. For instance, it could replicate a SaaS database to ADB for analytics, minimizing on-prem overhead. Both GoldenGate options support initial loads and continuous sync.
Data Pump export/import (E): Data Pump exports data/schemas from a source (e.g., expdp hr/hr schemas=HR directory=DATA_PUMP_DIR) to a dump file, which you upload to OCI Object Storage. Then, import into ADB using DBMS_CLOUD.COPY_DATA (e.g., targeting a HR schema). It’s great for one-time migrations, like moving a 12c database to ADB, with flexibility to exclude objects (e.g., indexes).
The incorrect options are:
RMAN Cross-Platform backup and restore (B): RMAN restores physical backups, but ADB’s managed nature prevents direct RMAN restores—users can’t access the file system. RMAN is used for ADB backups internally by Oracle, not customer migrations.
Data Guard Physical Standby (C): Data Guard creates physical standbys for HA, not migration to ADB. ADB uses Autonomous Data Guard internally, but it’s not a migration tool from external sources.
PDB unplug/plug operation (F): Unplugging/plugging PDBs requires file-level access, unsupported in ADB due to its managed storage. You’d use Data Pump instead for PDB data.
These methods offer robust, flexible migration paths to ADB.
質問 # 53
Which workload is particularly suited to Oracle Autonomous JSON Database?
正解：C
解説：
Oracle Autonomous JSON Database is a specialized variant of Autonomous Database. The correct workload is:
Schema-less, document-centric (D): Autonomous JSON Database is designed for applications needing flexible, schema-less data storage and retrieval, particularly JSON documents. It’s a NoSQL-style database optimized for document-centric workloads, such as web or mobile apps storing user profiles, IoT data, or content management systems. For example, a social media app might store user posts as JSON documents { "user": "John", "post": "Hello world" }, allowing dynamic field additions without schema changes. It supports SQL/JSON queries (e.g., SELECT JSON_VALUE(doc, '$.user')), blending relational and NoSQL benefits, and auto-manages indexing for performance.
The incorrect options are:
Data Marts (A): Data marts are structured, analytical stores for aggregated data, better suited to Autonomous Data Warehouse (ADW), which excels at columnar storage and complex queries, not JSON’s flexible format.
Transactions (B): Traditional OLTP transactions (e.g., banking records) are the domain of Autonomous Transaction Processing (ATP), which uses rigid schemas for consistency, unlike JSON Database’s schema-less approach.
Data Lakes (C): Data lakes store raw, mixed-format data (e.g., JSON, CSV, Parquet) for later processing, typically in object storage, not a managed database like Autonomous JSON. While JSON Database handles JSON, it’s not a data lake replacement.
This workload leverages JSON Database’s agility for modern, unstructured data applications.
質問 # 54
Your customer wants to permanently disable scheduled maintenance on Autonomous Dedicated Infrastructure to keep their current database version. How can they achieve this?
正解：C
解説：
Oracle Autonomous Database on Dedicated Infrastructure enforces automatic maintenance to ensure security, stability, and performance. The correct answer is:
You cannot permanently disable scheduled Automatic Maintenance (C): Oracle mandates periodic maintenance updates (e.g., patching) to keep the database secure and compliant with the latest fixes. Customers can influence the timing of these updates but cannot disable them permanently. This is a design principle of the Autonomous Database service to reduce administrative overhead while maintaining system integrity.
The incorrect options are:
Change the Automatic Maintenance Schedule to 'No Preference' (A): This setting allows Oracle to determine the maintenance window but does not disable maintenance. It still occurs as scheduled by Oracle.
Change the Automatic Maintenance Schedule to 'None' (B): There is no 'None' option in the maintenance scheduling settings for Autonomous Dedicated Infrastructure. This is not a valid configuration.
Change the Automatic Maintenance Schedule to 'Specify a Schedule' but do not select any month, week, or day (D): This is not a functional workaround. Specifying a schedule requires selecting a valid time window, and leaving it blank does not prevent maintenance; it simply reverts to Oracle’s default scheduling.
Oracle’s documentation confirms that while customers can reschedule or skip specific maintenance runs (up to two consecutive quarters), permanently disabling automatic maintenance is not permitted to ensure the system remains up-to-date and secure.
質問 # 55
You are the admin user of an Autonomous Database instance. A new business analyst has joined the team and would like to explore the Autonomous Database tables using Autonomous Database’s Data Tools. Which step should you perform to enable the new team member?
正解：A
解説：
Full Detailed In-Depth Explanation:
To enable a business analyst to use Autonomous Database Data Tools (e.g., Data Load, SQL Developer Web), specific permissions are required:
REST-enabled user: Data Tools rely on REST APIs, necessitating a user with REST support enabled.
Connect and object privileges: These allow database access and interaction with tables.
DWROLE role: This predefined role grants a comprehensive set of privileges for data analysis tasks in Autonomous Data Warehouse (ADW), including SELECT, EXECUTE, and data loading capabilities.
Evaluating the options:
A: Correct. Creating a REST-enabled user with connect/object privileges and granting DWROLE ensures full access to Data Tools, tailored for ADW exploration.
B: Incorrect. Default privileges are minimal and insufficient for Data Tools usage.
C: Incorrect. While connect, resource, and object privileges provide basic access, they lack the REST enablement and DWROLE’s specific analysis permissions.
D: Incorrect. An IDCS (Identity Cloud Service) user is for OCI authentication, not database-level access, and this step overcomplicates the process.
質問 # 56
Which three are Oracle-recommended best practices for Autonomous Database alarms? (Choose three.)
正解：A、B、D
解説：
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.
質問 # 57
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