1z0-1093-25試験の準備方法｜有効的な1z0-1093-25関連日本語版問題集試験｜信頼的なOracle Cloud Database Services 2025 Professional日本語独学書籍

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Oracle 1z0-1093-25 認定試験の出題範囲：

トピック	出題範囲
トピック 1	NoSQL Database Service Technical Overview: This section of the exam measures the skills of a NoSQL Developer and explores Oracle’s NoSQL Database Service. It includes understanding the basics of NoSQL architecture, handling table-level security, rate limiting, and data modeling. It also covers concepts like provisioned throughput and the usage of language SDKs for interacting with NoSQL services on Oracle Cloud.
トピック 2	Exadata Database Service (ExaDB): This section of the exam measures the skills of a Database Infrastructure Engineer and focuses on the advanced Exadata Database Service. It includes the provisioning of Exadata systems, management of Exadata Cloud Infrastructure, and VM Cluster administration. It also evaluates knowledge of lifecycle management tasks and how to interact with various Exadata management utilities and interfaces.
トピック 3	Oracle Cloud Infrastructure Database Management Service: This section of the exam measures the skills of a Cloud Operations Analyst and provides insight into Oracle’s Database Management Service on OCI. It focuses on enabling the service for databases, monitoring their performance, and performing diagnostic and tuning activities. It also covers tasks related to the administration of databases running on Oracle Cloud Infrastructure.
トピック 4	Base Database Service - VM (BaseDB): This section of the exam measures the skills of a Cloud Database Administrator and covers the foundational elements of Oracle’s Base Database Service. It includes understanding what the BaseDB service is, how to provision and manage it, and lifecycle operations such as backups, recovery, patching, and upgrades. It also tests familiarity with monitoring and management interfaces used to control and observe the BaseDB environment.
トピック 5	MySQL HeatWave Technical Overview: This section of the exam measures the skills of a MySQL Cloud Specialist and introduces MySQL HeatWave, Oracle’s high-performance analytics engine for MySQL. It includes provisioning, migrating existing MySQL databases to HeatWave, and working with its analytical and machine-learning capabilities. It also covers day-to-day operational activities within the MySQL HeatWave environment.

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Oracle 1z0-1093-25日本語独学書籍、1z0-1093-25模擬資料

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Oracle Cloud Database Services 2025 Professional 認定 1z0-1093-25 試験問題 (Q99-Q104):

質問 # 99
Which two are valid mechanisms for accessing OS-level metrics on a Base Database Service Virtual Machine?

A. All OS metrics are automatically pushed to the Cloud Exadata Service Dashboard, and are not available outside of this service.
B. The only way to access OS-level metrics is through a custom monitoring agent installed directly on the VM.
C. Access OS metrics using the OCI Metrics Explorer within the OCI Console leveraging the Oracle Cloud Agent.
D. Access OS metrics programmatically via the OCI Monitoring APIs, which allow retrieval of metrics collected by the Oracle Cloud Agent.
E. Utilize the vmcli utility, which allows access to OS-level metrics specific to the DB System.

正解：C、D

解説：
B: Access OS metrics using the OCI Metrics Explorer within the OCI Console leveraging the Oracle Cloud Agent.
* OCI Metrics Explorer is part of the OCI Monitoring service.
* The Oracle Cloud Agent collects OS-level metrics and makes them available through the OCI Console.
* Users can view metrics like CPU usage, memory utilization, and disk I/O.
E: Access OS metrics programmatically via the OCI Monitoring APIs:
* The Oracle Cloud Agent collects OS metrics and exposes them via OCI Monitoring APIs.
* This approach allows for automated data retrieval and integration with external monitoring tools.
Why the other options are incorrect:
* A. vmcli utility:This is not a standard tool for accessing OS-level metrics on Base Database Service VMs.
* C. Custom monitoring agent:While possible, it is not the primary or only method. Oracle Cloud Agent is the default tool.
* D. Automatically pushed to the Cloud Exadata Service Dashboard:This statement is incorrect as OS metrics are available through OCI Monitoring.

質問 # 100
When a new security patch is released for the Oracle Database software on a BaseDB VM system, what is the recommended approach for applying it in a production environment?

A. Wait for Oracle Cloud Infrastructure to automatically apply the security patch to all BaseDB VM systems.
B. Immediately apply the patch directly to the production database during off-peak hours to minimize potential security vulnerabilities.
C. Apply the patch to a production standby database (if one exists) and then failover to the patched standby.
D. Download the patch and apply it to a non-production environment that mirrors the production environment for testing before applying it to production.

正解：D

解説：
B: Testing patches in a non-production environment:
* Critical to ensure that the patch does not introduce performance issues or compatibility problems.
* Best Practice:Apply the patch to astaging environmentthat mirrors production, validate stability, and then proceed to production.
* Minimizes the risk of unplanned downtime or disruptions.
Why the other options are incorrect:
* A. Immediate application in production:Risky as untested patches might cause outages.
* C. Automatic patching by OCI:OCI does not automatically apply database patches; the customer must manage this.
* D. Patching the standby and failing over:While a good strategy when applicable, it still requires prior testing.

質問 # 101
Which characteristic is MOST indicative of an Oracle Cloud Infrastructure (OCI) Base Database Service (BaseDB) virtual machine (VM) deployment compared to using Autonomous Database?

A. Shared Exadata infrastructure with other tenants for cost optimization.
B. Automated patching and upgrades handled by Oracle.
C. Automatic scaling of compute and storage resources based on workload demands.
D. Direct control over the operating system and database configuration.

正解：D

解説：
Direct Control in BaseDB VM:
In aBaseDB VM deployment, users haveroot-level access to the operating systemand can directly manage the database configuration. This contrasts withAutonomous Database, where Oracle handles most administrative tasks, including patching and resource scaling.
* BaseDB VM offersflexibility for custom configurationsand control overOS-level operations.
* This is particularly useful for environments requiringcustom scripts, configurations, or database tuning.
Why the other options are incorrect:
* A:Autonomous Database features automatic patching, not BaseDB VM.
* B:Exadata infrastructure is typically associated withAutonomous Databaserather than VM-based BaseDB.
* D:Automatic scaling is a feature of Autonomous Database, not BaseDB.

質問 # 102
Oracle NoSQL Database Cloud Service utilizes a key-value data model. Which of the following statements accurately describes the fundamental structure of data within this model?

A. Data is organized into tables with predefined schemas, similar to relational databases.
B. Each data item is uniquely identified by a key, and the associated value can be any data type or structure.
C. Relationships between data items are explicitly defined through foreign keys and joins.
D. Data is stored as JSON documents with flexible structures, allowing for nested elements.
E. Data is structured in a graph format, representing entities as nodes and relationships as edges.

正解：B

解説：
C: Each data item is uniquely identified by a key, and the associated value can be any data type or structure.
Key-Value Data Model:
* The key-value model is fundamentally based on a simple association between a unique key and its corresponding value.
* The value can be a simple data type (string, number) or a complex structure (like JSON).
* Oracle NoSQL Database Cloud Service uses this model to ensure efficient, scalable data access.
Why the other options are incorrect:
* A. Organized into tables with schemas:This represents a relational database model.
* B. Stored as JSON documents:Although NoSQL can store JSON, the fundamental model is still key- value.
* D. Relationships defined through foreign keys and joins:This is typical of relational databases.
* E. Graph format with nodes and edges:Represents a graph database model, not key-value.

質問 # 103
Which statement BEST describes the primary architectural distinction between Exadata Database Service and a traditional Oracle Database deployed on virtual machines in the cloud?

A. Exadata Database Service uses a completely different SQL parsing engine compared to a traditional Oracle Database.
B. Exadata Database Service utilizes only virtualized compute nodes, while traditional deployments use bare metal.
C. Exadata Database Service exclusively supports Oracle RAC, while traditional cloud deployments can support both single-instance and RAC databases.
D. Exadata Database Service integrates specialized, high-performance storage servers and a high- bandwidth, low-latency RDMA over Converged Ethernet (RoCE) network, optimized for database workloads, which are not present in typical cloud VM deployments.

正解：D

解説：
Exadata's Unique Architecture:
Exadata Database Service is engineered specifically for Oracle Database workloads. The architecture leverages specialized storage servers that performdata-intensive operations at the storage level(such as filtering and aggregation), reducing the amount of data sent to the compute nodes.
TheRoCE network(RDMA over Converged Ethernet) provides high-bandwidth, low-latency connectivity between compute and storage nodes, significantly enhancing I/O performance. This architecture is optimized for bothOLTP and OLAP workloads, making Exadata a superior choice for performance-critical applications.
Why the other options are incorrect:
* A:Exadata combines both virtualized and bare metal compute nodes.
* C:Both Exadata and traditional cloud deployments can support Oracle RAC, but Exadata is optimized for it.
* D:Exadata uses the same Oracle Database SQL parsing engine; the difference lies in the optimized hardware.

質問 # 104
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