実際の1Z0-931-26試験では常に緊張しており、実際の試験に適応するのは難しいと感じていますか？ 「はい」と答えた場合、1Z0-931-26試験クイズのソフトウェアバージョンを使用してみてください。 ソフトウェアバージョンは実際のテスト環境をシミュレートできるため、1Z0-931-26試験ガイドのソフトウェアバージョンが最適です。ソフトウェアバージョンごとに1Z0-931-26試験の雰囲気を事前に感じることができます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementing Autonomous Database Fundamentals | - Describe Autonomous Database architecture and key features - Understand Autonomous Database automation capabilities - Provision and configure Autonomous Database services | |
| Topic 2: Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Topic 3: Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Topic 4: Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Topic 5: Applying Autonomous Database Serverless Architectures | - Configure Autonomous Database Serverless environments - Manage compute resources and auto scaling - Implement connectivity and access methods | |
| Topic 6: Implementing Autonomous Database Dedicated Deployments | 20% | - Apply security and isolation features - Configure Autonomous Database Dedicated Infrastructure - Manage dedicated deployment resources |
| Topic 7: Designing Unified Data Management and AI Analytics Solutions | - Use data sharing and integration features - Apply analytics and AI-driven data solutions - Implement JSON, graph, spatial, and text data capabilities | |
| Topic 8: Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Optimize workloads and database performance - Monitor database performance and resource usage - Manage backup, recovery, and availability features |
| Topic 9: Implementing Model Context Protocol (MCP) Server Integration | - Understand MCP Server integration concepts - Integrate AI applications with Autonomous Database services |
学習の重要性はよく知られており、誰もが忙しい蜂のように働いて、自分の理想のために苦労しています。私たちは学び、進歩し続け、私たちが望む人生を送ることができます。当社の1Z0-931-26模擬試験資料は、ユーザーが1Z0-931-26資格証明書を取得するための資格試験に合格するのに役立ちます。あなたが良い未来を楽しみにしていて、自分自身を要求している人なら、1Z0-931-26試験に合格することを学ぶ軍隊に参加してください。 1Z0-931-26テスト問題を選択すると、多くの予期しない結果が確実にもたらされます。
質問 # 52
How can an Autonomous Database resource be provisioned without logging into the Oracle Cloud Infrastructure Console?
正解：B
解説：
Provisioning an Autonomous Database without using the OCI Console is possible through programmatic methods. The correct answer is:
Using the cloud infrastructure command line interface or REST API calls (D): The Oracle Cloud Infrastructure Command Line Interface (OCI CLI) and REST APIs allow users to provision and manage Autonomous Database resources programmatically. This method is ideal for automation or when GUI access is not preferred. For example, the OCI CLI command oci db autonomous-database create can be used to provision a database by specifying parameters like compartment ID, database name, and workload type. Similarly, a REST API POST request to /autonomousDatabases achieves the same result.
The incorrect options are:
Using the DBCA on the database server (A): The Database Configuration Assistant (DBCA) is a tool for on-premises Oracle databases, not for cloud-based Autonomous Databases, which are fully managed by Oracle.
Connecting to the cloud infrastructure console using the SSH wallet (B): SSH wallets are for secure shell access to compute instances, not for provisioning databases or interacting with the OCI Console.
It cannot be done (C): This is false, as programmatic provisioning via CLI or API is explicitly supported.
This capability enhances automation and integration into DevOps workflows.
質問 # 53
A corporation is building a web application to allow its customers to schedule service requests online. There is also a need to run operational reports at times during non-peak hours. The architecture team is debating whether such reports should be run on the OLTP database or in a separate data mart. The DBA Manager does not want to add any more admin responsibility to the team and is looking for a database option that’s low to zero maintenance, but meets their strict performance requirements as well. Which Oracle Cloud Infrastructure database service is appropriate for this scenario?
正解：B
解説：
The scenario requires a low-maintenance, high-performance database for an OLTP web application with occasional reporting. The correct answer is:
ATP using 'tpurgent' and 'high' TNS services to separate connection types (A): Autonomous Transaction Processing (ATP) is ideal here. It’s a fully managed database optimized for OLTP workloads (e.g., scheduling service requests) with zero maintenance overhead—Oracle handles patching, backups, and tuning. ATP supports multiple connection services:
'tpurgent': Prioritizes low-latency, time-critical transactions (e.g., customer scheduling requests), ensuring fast response times for the web app.
'high': Suited for high-concurrency or reporting queries, allowing operational reports to run during non-peak hours without impacting the OLTP workload.
By using these predefined services, the architecture separates transactional and reporting workloads within the same database, meeting performance needs without additional administration. For example, the web app connects via tpurgent for real-time updates, while a reporting tool uses high for batch queries at night, leveraging ATP’s auto-scaling if needed.
The incorrect options are:
Since the application needs to be highly available, it should be deployed on a Kubernetes Cluster (B): This misinterprets the question—it’s about the database service, not the application deployment. Kubernetes is for container orchestration, not a database solution, and adds complexity counter to the low-maintenance goal.
It is best to build a separate data warehouse, and move the OLTP data on a nightly basis (C): While a separate Autonomous Data Warehouse (ADW) could handle reporting, it requires data movement (e.g., via ETL), increasing admin effort and complexity, which the DBA Manager wants to avoid. ATP can handle both workloads with proper service separation.
ADW since operational reporting is a higher priority in this scenario (D): ADW is optimized for analytics, not OLTP. The web app’s transactional needs are primary, with reporting secondary and occasional, making ATP more suitable.
ATP’s self-managing nature and service flexibility make it the best fit.
質問 # 54
Which Database Actions tool is used to get information about the entities in your Oracle Autonomous Database and to also see how changing an object affects other objects?
正解：D
解説：
Database Actions (formerly SQL Developer Web) offers tools for database management:
Correct Answer (A): The Catalog tool provides a detailed view of database entities (tables, views, schemas) and their metadata, including dependencies via the “Impact” tab. It helps assess how changes (e.g., dropping a table) affect related objects.
Incorrect Options:
B: Data Load is for importing data, not analyzing entities or dependencies.
C: JSON is a data format, not a tool; it’s supported but irrelevant here.
D: Data Insight is a separate analytics service, not part of Database Actions.
Catalog is essential for metadata exploration and impact analysis.
質問 # 55
Autonomous Database's auto scaling feature allows your database to use up to three times the current base number of OCPU cores at any time. As demand increases, auto scaling automatically increases the number of cores in use. Likewise, as demand drops, auto scaling automatically decreases the number of cores in use. Which statement is FALSE regarding the auto scaling feature?
正解：B
解説：
Auto scaling in Autonomous Database dynamically adjusts OCPU usage up to three times the base allocation. Let’s evaluate each statement:
Correct Answer (C): “The base number of OCPU cores allocated to a database is not guaranteed” is false. The base OCPU count, set during provisioning or manual scaling, is always guaranteed as the minimum available resource, even with auto scaling enabled. Auto scaling only increases usage above this baseline when needed.
True Statements:
A: On dedicated Exadata, the max cores for auto scaling are constrained by available free cores not used by other databases, ensuring resource fairness.
B: The total cores in the Exadata instance define the upper limit for any database’s auto scaling capacity.
D: Auto scaling is not enabled by default (must be explicitly activated) and can be toggled on/off, though this statement’s phrasing could be clearer—it’s still true in context.
This guarantees predictable minimum performance while allowing flexibility for peak loads.
質問 # 56
Data Guard is enabled for your Autonomous Database and the Lifecycle State field for the primary database indicates that it is Stopped. Which statement is true?
正解：D
解説：
With Autonomous Data Guard enabled, the primary and standby databases are tightly coupled:
Correct Answer (C): “Standby database is also stopped” is true. When the primary database is stopped (e.g., via OCI Console), the standby database is also stopped to maintain consistency and alignment between the two. This ensures the standby remains a viable replica when the primary restarts.
Incorrect Options:
A: Switchover (role reversal) requires manual initiation and an active primary; it doesn’t occur automatically on stop.
B: The standby is not terminated; it remains configured but stopped.
D: Failover (standby promotion) is not automatic on a planned stop; it’s triggered only by primary failure.
This behavior preserves Data Guard functionality.
質問 # 57
......
1Z0-931-26勉強のトレントを購入すると、24時間オンラインの効率的なサービスを提供します。 1Z0-931-26学習資料に関するご質問はいつでもお問い合わせいただけます。また、いつでもご連絡いただけます。もちろん、忙しくてオンラインで連絡する時間がない場合は、心配しないで、いつでも1Z0-931-26ガイド資料に関する問題をメールでお知らせください。カスタマーサービスからすぐにメールが届きます。一言で言えば、24時間オンラインの効率的なサービスは、すべての問題を解決して試験に合格するのに役立つと考えています。
1Z0-931-26技術内容: https://www.jpntest.com/shiken/1Z0-931-26-mondaishu