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Oracle 1Z0-931-25 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Data Lake Analytics with Autonomous Database: This section of the exam measures the skills of Big Data Engineers and explores how Autonomous Database can be used for analytics in data lake environments. It includes data ingestion, query optimization, and leveraging cloud-native analytics services, ensuring engineers can efficiently process and analyze large volumes of structured and unstructured data.
トピック 2	Migrating to Autonomous Database: This section of the exam measures the skills of Cloud Migration Specialists and covers strategies for migrating existing databases to Autonomous Database. It includes understanding migration considerations, and available options, and using Oracle Data Pump to transfer data seamlessly while minimizing downtime, ensuring smooth transitions to Oracle Cloud infrastructure.
トピック 3	Developing on Autonomous Database: This section of the exam measures the skills of Application Developers and focuses on developing and extending applications using Autonomous Database. It covers using generative AI for natural language queries, Autonomous JSON Database, Oracle Text for document search, location-based analysis with Autonomous Spatial, Autonomous Graph for data relationships, and integration with Object Storage, enabling developers to build intelligent, scalable applications.
トピック 4	Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.
トピック 5	Managing and Maintaining Autonomous Database: This section of the exam measures the skills of Database Administrators and focuses on the ongoing management and maintenance of Autonomous Database instances. It includes using REST APIs and OCI CLI for automation, configuring access control lists and private endpoints, monitoring performance, setting up notifications, utilizing features like auto-indexing and data safe, handling connectivity through wallets and service handles, and configuring disaster recovery using Data Guard to ensure business continuity.

Oracle Autonomous Database Cloud 2025 Professional 認定 1Z0-931-25 試験問題 (Q106-Q111):

質問 # 106
You have been tasked with analyzing a year's worth of sales data stored in an Autonomous Data Warehouse instance. Which tool would you use to automate data exploration and create pivot tables?

A. Business Models
B. SQL Developer Web
C. APEX
D. Data Load

正解：A

解説：
Full Detailed In-Depth Explanation:
A: False. APEX is for app development, not data exploration.
B: False. SQL Developer Web is for SQL queries, not pivot tables.
C: True. Business Models in ADW automates data exploration and generates pivot tables.
D: False. Data Load is for importing data, not analysis.

質問 # 107
Which three tools can be used to monitor the usage and activities of Autonomous Database on Dedicated Infrastructure? (Choose three.)

A. Performance Hub
B. RMAN
C. Enterprise Manager Cloud Control
D. OCI Metrics
E. Logs

正解：A、C、D

解説：
Monitoring Autonomous Database on Dedicated Infrastructure involves specific tools:
Correct Answer (C): Enterprise Manager Cloud Control provides comprehensive monitoring of OCI resources, including CPU, memory, I/O, and SQL performance for dedicated deployments.
Correct Answer (D): OCI Metrics offers detailed metrics via the OCI Monitoring service, allowing custom dashboards and alerts for key performance indicators (e.g., OCPU usage, storage).
Correct Answer (E): Performance Hub is a built-in tool in Autonomous Database for analyzing historical performance data, identifying trends, and troubleshooting issues.
Incorrect Options:
A: RMAN (Recovery Manager) is for backup and recovery, not real-time monitoring of usage or activities.
B: Logs provide diagnostic data but are not a standalone monitoring tool; they require manual analysis or integration with other tools.
These tools collectively enable proactive management and optimization.

質問 # 108
You created an Autonomous Database without auto scaling. Which two ways can you enable auto scaling? (Choose two.)

A. Use a REST call to shut down the instance, then a second REST call to enable Auto Scaling, and a REST call to restart the instance.
B. Click Scale Up/Down and select the Auto Scaling checkbox.
C. Use a REST call to enable Auto Scaling.
D. Shut down the instance, click Scale Up/Down and select the Auto Scaling checkbox, then restart the instance.

正解：B、C

解説：
Enabling auto scaling on an existing Autonomous Database can be done without unnecessary complexity:
Correct Answer (A): "Click Scale Up/Down and select the Auto Scaling checkbox" is the simplest GUI method. In the OCI Console, navigate to the database, select "Scale Up/Down," and enable the auto scaling option, allowing up to 3x the base OCPUs dynamically.
Correct Answer (C): "Use a REST call to enable Auto Scaling" leverages the OCI REST API to update the database configuration with the isAutoScalingEnabled parameter set to true. This is ideal for programmatic control.
Incorrect Options:
B: Shutting down the instance is unnecessary; auto scaling can be enabled while the database is running.
D: Multiple REST calls, including shutdown and restart, overcomplicate the process when a single API call suffices.
These methods ensure minimal disruption and efficient resource management.

質問 # 109
Which two statements are correct about Autonomous Data Warehouse on Shared Exadata Infrastructure?

A. You have direct access to the database node.
B. Oracle Database Result Cache is enabled by default for all SQL statements.
C. Parallelism is not enabled by default.
D. Compression is enabled by default. Autonomous Data Warehouse uses Hybrid Columnar Compression for all tables by default.

正解：B、D

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 # 110
Which two actions can you perform with Autonomous Data Guard enabled on Autonomous Database on Shared Infrastructure? (Choose two.)

A. Change Protection Mode
B. Switchover
C. View Apply Lag
D. Reinstate
E. Failover

正解：B、E

解説：
Autonomous Data Guard on Shared Infrastructure enhances ADB availability with standby databases. The two correct actions are:
Switchover (C): A switchover swaps roles between the primary and standby databases in a planned manner, with no data loss (RPO = 0). You initiate this via the OCI console (e.g., "Switchover" button on the primary ADB's Data Guard section) or API (e.g., oci db autonomous-database switchover). For example, before maintenance on the primary, you switch to the standby in another region (e.g., from us-ashburn-1 to us-phoenix-1), taking ~2 minutes (RTO ≈ 2 min). This ensures continuity without downtime, as the standby becomes primary seamlessly.
Failover (D): A failover promotes the standby to primary during an unplanned outage (e.g., primary region failure), also with RPO = 0 due to synchronous replication. Trigger it via the OCI console (e.g., "Failover" on the standby) or API (e.g., oci db autonomous-database failover). For instance, if us-ashburn-1 crashes, the standby in us-phoenix-1 takes over in ~2 minutes, preserving all committed transactions. It's automatic in some cases (e.g., severe failure), but manual initiation is supported too.
The incorrect options are:
View Apply Lag (A): While relevant in traditional Data Guard (measuring replication delay), Autonomous Data Guard on shared ADB uses synchronous replication (zero lag), and apply lag isn't a user-actionable metric exposed in the UI-monitoring focuses on role status, not lag.
Reinstate (B): Reinstatement (restoring a failed primary as a standby) isn't a user action in shared infrastructure. Oracle manages post-failover recovery, and users can't manually reinstate; a new standby might be provisioned instead.
Change Protection Mode (E): Traditional Data Guard offers modes (e.g., Maximum Availability), but in Autonomous Data Guard on shared infrastructure, the mode is fixed (synchronous, akin to Maximum Availability), and users can't modify it-control is limited to switchover/failover.
These actions ensure high availability with user-initiated role changes.

質問 # 111
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