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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Autonomous Database Dedicated: This section of the exam measures the skills of IT Architects and explores the workflows and functionality of Autonomous Database Dedicated and Autonomous Database Cloud@Customer. It includes provisioning dedicated resources, setting up OCI policies, monitoring infrastructure, scheduling maintenance tasks such as patching, and managing encryption keys for enhanced security. IT Architects will learn how to integrate dedicated database environments within their cloud strategy.

Topic 2

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.

Topic 3

Getting Started with Autonomous Database: This section of the exam measures the skills of Database Administrators and covers the architecture and key features of Oracle Autonomous Database. It explains how the database integrates within the Oracle ecosystem and provides an overview of different Autonomous Database offerings and their licensing models, helping administrators understand how to deploy and manage these cloud-based databases efficiently.

Topic 4

Autonomous Database Tools: This section of the exam measures the skills of Data Analysts and covers the tools available within Autonomous Databases for advanced data processing and analytics. It includes Oracle Machine Learning, APEX, and SQL Developer Web for database development, as well as data transformation, business model creation, data insights, and data analysis, allowing analysts to extract valuable insights from large datasets.

Topic 5

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.

Topic 6

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.

Topic 7

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.

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q134-Q139):

NEW QUESTION # 134
Which management operation is correct about Autonomous Databases on Shared Exadata Infrastructure?

A. You can skip a scheduled maintenance run. For Autonomous Database on Shared Exadata Infrastructure, you can skip maintenance runs for up to two consecutive quarters if needed
B. You can choose to use Release Update or Release Update Revision updates for your Autonomous Databases on Shared Infrastructure
C. You can perform a "rolling restart" on all the Autonomous Databases. During a rolling restart, each node on the Autonomous Database is restarted separately while the remaining nodes continue to be available
D. You cannot configure the scheduling for your Autonomous Databases on Shared Exadata Infrastructure

Answer: D

Explanation:
Management operations for Autonomous Databases on Shared Exadata Infrastructure are limited due to its fully managed nature. The correct statement is:
You cannot configure the scheduling for your Autonomous Databases on Shared Exadata Infrastructure (C): In shared infrastructure, Oracle fully controls maintenance scheduling (e.g., patching, upgrades). Unlike dedicated infrastructure, where users can set maintenance windows, shared ADB users cannot adjust timing. Oracle notifies users of upcoming maintenance (e.g., via email or console), typically in a 7-day window, but the exact schedule is Oracle-driven to optimize the shared Exadata platform. For example, a quarterly patch might occur on a Tuesday at 2 AM UTC, and users must adapt, not reschedule.
The incorrect options are:
You can skip a scheduled maintenance run... (A): False. Shared infrastructure does not allow skipping maintenance runs, even for two quarters. This flexibility exists only in dedicated infrastructure, where users have more control (e.g., skipping up to two consecutive updates). In shared mode, Oracle enforces updates for security and stability across all tenants.
You can perform a "rolling restart"... (B): False. Rolling restarts (restarting nodes sequentially for availability) are not user-initiated in ADB shared infrastructure. Restarts, if needed, are managed by Oracle during maintenance, and users cannot control the process or ensure node-by-node availability.
You can choose to use Release Update or Release Update Revision updates... (D): False. In shared infrastructure, Oracle applies Release Updates (RUs) uniformly across all databases; users cannot choose between RU or Release Update Revisions (RURs), a feature reserved for dedicated deployments.
This reflects the trade-off of shared infrastructure: lower cost and management effort for less control.

NEW QUESTION # 135
Which two options are available for restoring an Autonomous Database? (Choose two.)

A. Specifying the archived custom image.
B. Selecting the backup from which restore needs to be done.
C. Selecting the snapshot of the backup.
D. Specifying the point in time (timestamp) to restore.

Answer: B,D

Explanation:
Restoring an Autonomous Database involves specific recovery options:
Correct Answer (A): "Selecting the backup from which restore needs to be done" allows you to choose a specific automatic backup (listed by timestamp) in the OCI Console to restore the database to that state.
Correct Answer (D): "Specifying the point in time (timestamp) to restore" enables Point-in-Time Recovery (PITR), restoring to any moment within the backup retention period (default 60 days), even between backups.
Incorrect Options:
B: There's no "snapshot of the backup" option; backups are managed as full/incremental sets, not user-selectable snapshots.
C: "Archived custom image" is not a feature of Autonomous Database restore; it applies to other OCI services like Compute.
These options provide flexibility for recovery scenarios.

NEW QUESTION # 136
A customer wants to increase the throughput of their inserts. They have discovered that the bottleneck is in the storage I/Os of their environment. What should they do to remove this bottleneck?

A. Ask Support to migrate their setup to a node without noisy neighbors.
B. Remove any non-JSON data from the database.
C. Increase the number of OCPUs allocated to the database.
D. Run the DBMS_CLOUD.INCREASE_THROUGHPUT procedure.

Answer: C

Explanation:
Addressing a storage I/O bottleneck for insert throughput in Autonomous Database involves resource adjustments:
Correct Answer (C): "Increase the number of OCPUs allocated to the database" boosts processing power, which directly improves I/O performance. In Autonomous Database, OCPUs handle both compute and I/O operations; more OCPUs increase the I/O bandwidth, reducing the bottleneck for insert-heavy workloads.
Incorrect Options:
A: Removing non-JSON data may optimize storage use but doesn't directly address I/O throughput for inserts.
B: "Noisy neighbors" is a shared infrastructure concern, but migration isn't a standard solution for I/O bottlenecks and requires Oracle intervention, not user control.
D: There is no DBMS_CLOUD.INCREASE_THROUGHPUT procedure; this is a fabricated option.
Scaling OCPUs is the most effective user-controlled solution.

NEW QUESTION # 137
Which set of Oracle Cloud Infrastructure metrics is available only for Autonomous Database on Dedicated Infrastructure?

A. CPU Utilization, Storage Utilization
B. Transaction Count, Running Statements, Sessions
C. Query Latency, User Calls, Execute Count
D. IOPS, Storage used by tablespace, Apply and Transport Lag

Answer: D

Explanation:
Autonomous Database on Dedicated Infrastructure provides unique metrics due to its Exadata underpinnings:
Correct Answer (C): "IOPS, Storage used by tablespace, Apply and Transport Lag" are specific to dedicated deployments:
IOPS: Measures input/output operations per second, reflecting Exadata storage performance.
Storage used by tablespace: Tracks storage allocation at the tablespace level, unique to dedicated infrastructure's granular control.
Apply and Transport Lag: Relevant for Data Guard configurations, showing replication delays, available only in dedicated setups with standby databases.
Incorrect Options:
A: Transaction Count, Running Statements, and Sessions are general metrics available in both shared and dedicated environments.
B: CPU and Storage Utilization are standard across all Autonomous Database types.
D: Query Latency, User Calls, and Execute Count are also common metrics, not exclusive to dedicated infrastructure.
These metrics offer deeper insights into dedicated Exadata performance.

NEW QUESTION # 138
You created an Autonomous Database without auto scaling. Which two ways can you enable auto scaling? (Choose two.)

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

Answer: A,C

Explanation:
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.

NEW QUESTION # 139
......

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