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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Configure Autonomous Database Serverless environments - Implement connectivity and access methods | |
| Topic 2: Designing Unified Data Management and AI Analytics Solutions | - Apply analytics and AI-driven data solutions - Implement JSON, graph, spatial, and text data capabilities - Use data sharing and integration features | |
| Topic 3: Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Manage backup, recovery, and availability features - Optimize workloads and database performance - Monitor database performance and resource usage |
| Topic 4: Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Topic 5: Implementing Autonomous Database Fundamentals | - Understand Autonomous Database automation capabilities - Provision and configure Autonomous Database services - Describe Autonomous Database architecture and key features | |
| Topic 6: Applying Select AI Capabilities | - Configure and use Select AI features - Use natural language queries with generative AI capabilities | |
| Topic 7: Implementing Model Context Protocol (MCP) Server Integration | - Integrate AI applications with Autonomous Database services - Understand MCP Server integration concepts | |
| Topic 8: Implementing Autonomous Database Dedicated Deployments | 20% | - Configure Autonomous Database Dedicated Infrastructure - Apply security and isolation features - Manage dedicated deployment resources |
| Topic 9: Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces |
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質問 # 51
Which two optimizations are different between Autonomous Data Warehouse and Autonomous Transaction Processing? (Choose two.)
正解：A、B
解説：
Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are optimized for different workloads, reflected in their configurations. The two differing optimizations are:
Memory Usage (A): ADW and ATP allocate memory differently to suit their purposes. ADW prioritizes a larger data cache (part of the SGA) to keep more data in memory, boosting analytical query performance (e.g., aggregations over millions of rows). For example, a SELECT SUM(sales) GROUP BY region runs faster with more cached data. ATP, conversely, balances memory across the SGA and PGA for transactional workloads, emphasizing concurrency and quick row-level operations (e.g., UPDATE orders SET status = 'shipped'). This difference ensures ADW excels at scan-heavy analytics, while ATP handles high-throughput updates.
Data Organization (B): ADW uses a columnar storage format (e.g., Hybrid Columnar Compression) optimized for analytics, storing data by column to speed up aggregations and reduce I/O (e.g., scanning only the sales column for a SUM). ATP uses a row-based format suited for OLTP, enabling fast single-row access and updates (e.g., retrieving or modifying a specific order_id). For instance, inserting a row in ATP is efficient due to row storage, while ADW’s columnar format accelerates SELECT AVG(price) FROM products.
The incorrect options are:
Backup Retention (C): Both ADW and ATP use the same automatic backup system (via Oracle’s Automatic Workload Repository), with a default 60-day retention adjustable by users. There’s no optimization difference here; it’s a shared managed feature.
Undo Management (D): Both databases use Oracle’s Flashback technology for undo (e.g., rolling back transactions or querying past states), with retention periods set similarly. Undo is managed automatically in both, not optimized differently.
These optimizations tailor ADW for analytics and ATP for transactions, despite their shared autonomous foundation.
質問 # 52
Which two statements are true regarding active transactions when scaling OCPUs in an Autonomous Database? (Choose two.)
正解：B、D
解説：
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.
質問 # 53
Which three operations are available for a quarterly maintenance update on Autonomous Container Database? (Choose three.)
正解：A、B、D
解説：
Oracle Autonomous Container Database (ACD) provides specific options for managing quarterly maintenance updates to ensure minimal disruption and flexibility. The three correct operations available are:
Reschedule and patch immediately (B): This option allows users to adjust the maintenance window to a more convenient time and apply the patch right away within that rescheduled window. It’s useful when the default schedule conflicts with business operations but immediate patching is still desired.
Reschedule patching (C): This option enables users to defer the patching to a later maintenance window that suits their operational needs, providing flexibility without applying the patch immediately.
Skip patching (D): Users can choose to skip a quarterly maintenance update entirely, which is beneficial if the current database version is stable and no immediate updates are required. Oracle allows skipping up to two consecutive quarterly updates for Autonomous Container Databases on dedicated infrastructure.
The incorrect options are:
Patch immediately (A): This is not a standalone option for quarterly updates on ACDs. Patching occurs within scheduled maintenance windows, and immediate patching outside of rescheduling is not supported as a distinct choice.
Apply a partial patch (E): Oracle does not support applying partial patches during quarterly maintenance updates. Updates are delivered as complete bundles to ensure consistency and security.
This aligns with Oracle’s maintenance policies for Autonomous Databases on dedicated infrastructure, where control over scheduling and skipping is provided, but partial patching is not an option.
質問 # 54
Which of the following two statements are correct? (Choose two.)
正解：B、C
解説：
Oracle Data Integrator (ODI) Web Edition integrates with Autonomous Database:
Correct Answer (B): “ODI Web Edition can be installed from Oracle Cloud Infrastructure (OCI) Marketplace” is true. It’s offered as a Marketplace image for easy deployment on OCI compute instances.
Correct Answer (D): “All capabilities of ODI Classic are available with ODI Web Edition” is correct; the web version retains full functionality for data integration tasks.
Incorrect Options:
A: ODI Web Edition is not limited to Oracle Linux; it runs on various platforms supported by OCI.
C: The Data Transforms Card in Database Actions uses a simplified UI, not full ODI Web Edition access.
This enhances data integration flexibility in the cloud.
質問 # 55
Which two statements are correct about Autonomous Data Warehouse on Shared Exadata Infrastructure?
正解：A、C
解説：
Let’s evaluate each statement about Autonomous Data Warehouse (ADW) on Shared Exadata Infrastructure:
A . Oracle Database Result Cache is enabled by default for all SQL statements: True. ADW enables the Result Cache by default to improve query performance by storing frequently accessed results in memory.
B . You have direct access to the database node: False. ADW is a fully managed service; users do not have direct access to underlying nodes, which Oracle manages for patching, scaling, and security.
C . Parallelism is not enabled by default: False. Parallelism is enabled by default in ADW to optimize large analytical queries across multiple CPUs.
D . Compression is enabled by default. Autonomous Data Warehouse uses Hybrid Columnar Compression for all tables by default: True. Hybrid Columnar Compression (HCC) is applied automatically to reduce storage and enhance query performance.
Thus, A and D are correct, reflecting ADW’s default performance optimizations.
質問 # 56
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