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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Topic 2: Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Configure Autonomous Database Serverless environments - Implement connectivity and access methods | |
| Topic 3: 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 4: Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Topic 5: Applying Select AI Capabilities | - Configure and use Select AI features - Use natural language queries with generative AI capabilities | |
| Topic 6: Implementing Autonomous Database Fundamentals | - Understand Autonomous Database automation capabilities - Provision and configure Autonomous Database services - Describe Autonomous Database architecture and key features | |
| Topic 7: Implementing Autonomous Database Dedicated Deployments | 20% | - Manage dedicated deployment resources - Apply security and isolation features - Configure Autonomous Database Dedicated Infrastructure |
| Topic 8: 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 9: Implementing Model Context Protocol (MCP) Server Integration | - Understand MCP Server integration concepts - Integrate AI applications with Autonomous Database services |
>> 1Z0-931-26 Originale Fragen <<
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79. Frage
Which statement is true when you provision an Autonomous Database using the cloning method?
Antwort: B
Begründung:
Cloning in Autonomous Database creates a new instance from an existing source:
Correct Answer (A): “A clone database source can be a running database instance” is true. You can clone from a live, running Autonomous Database instance (full clone), capturing its current state, including data and configuration, without needing to stop it.
Incorrect Options:
B: There are multiple cloning types: full clone (from a running instance) and refreshable clone (a read-only copy that syncs with the source), plus cloning from backups.
C: Cloning from a backup requires the backup to be at least 2 hours old for consistency, not less, making this false.
D: Security zone rules prevent cloning a database from a security zone to a non-security zone due to compliance restrictions.
This flexibility supports rapid provisioning from active databases.
80. Frage
Which three functions are provided by Spatial Studio? (Choose three.)
Antwort: B,C,D
Begründung:
Oracle Spatial Studio is a self-service tool for working with spatial data in Autonomous Database. The three correct functions are:
Map visualization (A): Spatial Studio provides robust capabilities to visualize spatial data on interactive maps, enabling users to explore geographic patterns and relationships visually.
Spatial analysis (C): It offers tools for performing spatial operations like proximity analysis, spatial joins, and buffering, which are essential for deriving insights from geographic data.
Spatial data editing (E): Users can edit spatial data, such as modifying geometries or updating attributes, directly within Spatial Studio, making it a powerful tool for data management.
The incorrect options are:
Custom SQL queries (B): While Spatial Studio supports spatial operations, it is primarily a graphical tool and does not focus on executing custom SQL queries. Such functionality is more aligned with tools like SQL Developer.
Geocoding (D): Geocoding (converting addresses to coordinates) is not a core feature of Spatial Studio. It focuses on visualization, analysis, and editing rather than address-to-coordinate conversion, which is typically handled by separate Oracle services or tools.
These functions align with Spatial Studio’s purpose of simplifying spatial data management and analysis.
81. Frage
Which three options are supported when migrating to Autonomous Database (ADB)? (Choose three.)
Antwort: A,D,E
Begründung:
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.
82. Frage
Which two optimizations are different between Autonomous Data Warehouse and Autonomous Transaction Processing? (Choose two.)
Antwort: C,D
Begründung:
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.
83. Frage
You have a requirement to create an Autonomous Transaction Processing database that can support at least 200 concurrent statements per OCPU as well as parallelism. Which service will you need to connect to?
Antwort: A
Begründung:
Full Detailed In-Depth Explanation:
Autonomous Transaction Processing (ATP) offers predefined service levels with varying concurrency and parallelism capabilities:
MEDIUM: Supports up to 50 concurrent statements per OCPU, with no parallelism by default. Unsuitable for the requirement.
TPURGENT: Supports up to 200 concurrent statements per OCPU and enables manual parallelism. This meets both requirements (concurrency ≥ 200 and parallelism), making it the correct choice.
LOW: Supports only 25 concurrent statements per OCPU, with no parallelism. Insufficient for the requirement.
TP: Supports 125 concurrent statements per OCPU, with no parallelism by default. Falls short of the 200 concurrency threshold.
TPURGENT is designed for high-concurrency, time-sensitive workloads, providing the necessary resources and flexibility for parallel query execution, aligning perfectly with the specified needs.
84. Frage
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