많은 시간과 돈이 필요 없습니다. 30분이란 특별학습가이드로 여러분은Oracle 1Z0-931-26인증시험을 한번에 통과할 수 있습니다, DumpTOP에서Oracle 1Z0-931-26시험자료의 문제와 답이 실제시험의 문제와 답과 아주 비슷한 덤프만 제공합니다.
| Section | Weight | Objectives |
|---|---|---|
| Using Autonomous Database Tools | - Use Oracle Database tools and management interfaces - Use Oracle APEX and Oracle Machine Learning with Autonomous Database | |
| Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Implement connectivity and access methods - Configure Autonomous Database Serverless environments | |
| Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Implementing Autonomous Database Fundamentals | - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities - Describe Autonomous Database architecture and key features | |
| Implementing Model Context Protocol (MCP) Server Integration | - Understand MCP Server integration concepts - Integrate AI applications with Autonomous Database services | |
| Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Optimize workloads and database performance - Manage backup, recovery, and availability features - Monitor database performance and resource usage |
| Designing Unified Data Management and AI Analytics Solutions | - Use data sharing and integration features - Implement JSON, graph, spatial, and text data capabilities - Apply analytics and AI-driven data solutions | |
| Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Implementing Autonomous Database Dedicated Deployments | 20% | - Apply security and isolation features - Manage dedicated deployment resources - Configure Autonomous Database Dedicated Infrastructure |
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질문 # 146
Which statement is correct about the Service Console in an Autonomous Database?
정답：C
설명：
Full Detailed In-Depth Explanation:
The Service Console is a database-specific management interface:
A: False. Auto-scaling is managed via the OCI Console, not the Service Console.
B: True. The Service Console allows monitoring and terminating runaway SQL statements that consume excessive resources.
C: False. Manual backups are created through OCI Console or SQL commands, not the Service Console.
D: False. Moving compartments is an OCI Console function, not a Service Console task.
질문 # 147
Which is a feature of a graph query language?
정답：A
설명：
Graph query languages, like Oracle’s Property Graph Query Language (PGQL), are designed for graph databases:
Correct Answer (D): “Ability to specify patterns” is a defining feature. Graph queries excel at defining and matching patterns (e.g., nodes and edges) to explore relationships, such as finding paths or subgraphs, critical for applications like social network analysis or fraud detection.
Incorrect Options:
A: Key-value queries are typical of NoSQL key-value stores, not graph databases.
B: While scripting may be possible in some contexts, it’s not a core feature of graph query languages.
C: Graph query languages are not inherently object-oriented; they focus on relational graph structures.
This pattern-matching capability distinguishes graph queries from other query paradigms.
질문 # 148
Which Oracle package is used to load data to an Autonomous Database from object storage?
정답：A
설명：
Loading data into Autonomous Database from object storage (e.g., OCI Object Storage) relies on a specific PL/SQL package. The correct answer is:
DBMS_CLOUD (D): The DBMS_CLOUD package is Oracle’s cloud-native tool for interacting with external data sources, including object storage, in Autonomous Database. It provides procedures like DBMS_CLOUD.COPY_DATA to load data from files (e.g., CSV, JSON, Parquet) stored in OCI Object Storage buckets into ADB tables. For example, to load a CSV file sales.csv from a bucket, you’d:
BEGIN
DBMS_CLOUD.CREATE_CREDENTIAL(credential_name => 'OBJ_STORE_CRED', username => 'oci_user', password => 'auth_token'); DBMS_CLOUD.COPY_DATA(table_name => 'SALES', credential_name => 'OBJ_STORE_CRED', file_uri_list => 'https://objectstorage.region.oraclecloud.com/n/namespace/b/bucket/o/sales.csv', format => json_object('type' value 'csv')); END; This package handles authentication (via OCI credentials), file parsing, and data insertion, supporting formats like text, Avro, and ORC. It’s integral to ADB’s cloud integration, abstracting low-level operations and ensuring security (e.g., via IAM auth).
The incorrect options are:
DBMS_RPC (A): This package doesn’t exist in Oracle Database. It might be a typo or confusion with remote procedure calls, unrelated to data loading.
DBMS_LOAD (B): No such package exists. It might confuse with SQL*Loader, but that’s a separate utility, not a PL/SQL package, and isn’t used directly in ADB for object storage.
DBMS_MIGRATE (C): This doesn’t exist either. It might be a misnomer for DBMS_DATAPUMP (for Data Pump), but that’s for database migration, not object storage loading.
DBMS_CLOUD is purpose-built for ADB’s cloud-first architecture, making data ingestion seamless and efficient.
질문 # 149
You want to enable automatic indexing in a database, but any new auto indexes should be created as invisible indexes, so that they cannot be used in SQL statements. Which command will you use?
정답：B
설명：
Oracle’s automatic indexing feature, available in Autonomous Database, optimizes query performance by creating and managing indexes. The requirement here is to enable it but ensure new indexes are invisible (not used by the optimizer unless explicitly made visible). The correct command is:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY') (C): The REPORT ONLY mode enables automatic indexing, where the database identifies and creates candidate indexes based on workload analysis. However, these indexes are created as invisible by default, meaning the optimizer does not use them in SQL execution plans unless a DBA manually makes them visible (e.g., via ALTER INDEX ... VISIBLE). This mode is ideal for testing or validation without impacting production queries. For example, if a query frequently filters on a column, an invisible index might be created, but it won’t affect performance until explicitly activated.
The incorrect options are:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT') (A): The IMPLEMENT mode fully enables automatic indexing, creating and maintaining visible indexes that the optimizer uses immediately. This contradicts the requirement for invisible indexes.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF') (B): The OFF mode disables automatic indexing entirely, so no indexes (visible or invisible) are created, failing the requirement to enable it.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE') (D): There is no INVISIBLE mode in DBMS_AUTO_INDEX.CONFIGURE. While indexes can be set as invisible individually, this is not a valid configuration option for the auto-indexing feature.
The REPORT ONLY mode provides a controlled approach, allowing index creation for analysis without immediate deployment. This is particularly useful in Autonomous Database, where automation is balanced with DBA oversight.
질문 # 150
As a database architect, you are tasked with configuring a high concurrency, production OLTP (EXAM) application to connect to an Autonomous Transaction Processing database with a requirement to have some reporting queries run in parallel mode. Which connection service is appropriate for such a workload?
정답：A
설명：
Autonomous Transaction Processing (ATP) provides predefined connection services to optimize different workload types. For a high-concurrency OLTP application with parallel reporting queries, the appropriate service is:
HIGH (C): The HIGH connection service in ATP is designed for workloads requiring high concurrency and throughput, making it ideal for a production OLTP application like "EXAM" that handles many simultaneous transactions (e.g., user requests). Additionally, HIGH supports parallel query execution, which is critical for running reporting queries efficiently during off-peak times. It allocates more resources (e.g., OCPUs and I/O) compared to other services, ensuring performance for both transactional and analytical tasks. For example, the OLTP app might use HIGH to process thousands of concurrent user requests, while a nightly report leverages parallel processing to aggregate data quickly. In the wallet’s tnsnames.ora, the HIGH service might look like exam_high = (DESCRIPTION=...), offering the best balance for this mixed workload.
The incorrect options are:
TPURGENT (A): The TPURGENT service prioritizes low-latency, time-critical transactions (e.g., sub-second response times for single-user actions). It’s optimized for latency-sensitive operations, not high concurrency or parallel reporting, and would underperform for the broader OLTP and reporting needs here. For instance, it’s better suited for a single critical transaction than a multi-user system.
TP (B): The TP (Transaction Processing) service is a general-purpose option for OLTP workloads, offering moderate concurrency and latency. However, it’s not optimized for high concurrency or parallel query execution, making it less suitable for a production app with reporting demands. It’s a middle ground, not a top-tier performer like HIGH.
MEDIUM (D): The MEDIUM service balances performance and resource usage for moderate workloads. It supports some concurrency but lacks the resource allocation and parallel execution capabilities of HIGH, making it inadequate for a high-concurrency OLTP system with reporting requirements.
The HIGH service’s ability to handle both high transactional volume and parallel reporting aligns perfectly with the scenario’s strict performance needs, all within ATP’s zero-maintenance framework.
질문 # 151
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