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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 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.

Topic 3

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.

Topic 4

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 5

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.

Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q47-Q52):

NEW QUESTION # 47
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?

A. The base number of OCPU cores allocated to a database is not guaranteed.
B. For databases on dedicated Exadata infrastructure, the maximum number of cores is limited by the number of free cores that are not being used by other auto scaling databases to meet high-load demands.
C. For databases on dedicated Exadata infrastructure, the maximum number of cores available to a database depends on the total number of cores available in the Exadata infrastructure instance.
D. Auto Scaling is enabled by default and can be enabled or disabled at any time.

Answer: A

Explanation:
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.

NEW QUESTION # 48
Which of the following two statements are correct? (Choose two.)

A. ODI Web Edition can be installed from Oracle Cloud Infrastructure (OCI) Marketplace.
B. ODI Web Edition is available only on Oracle Linux.
C. Data Transforms Card provides access to Oracle Data Integrator (ODI) Web Edition.
D. All capabilities of ODI Classic are available with ODI Web Edition.

Answer: A,D

Explanation:
Oracle Data Integrator (ODI) Web Edition integrates with Autonomous Database:
Correct Answer (B): "ODI Web Edition can be installed from Oracle Cloud Infrastructure (OCI) Marketplace" is true. It's offered as a Marketplace image for easy deployment on OCI compute instances.
Correct Answer (D): "All capabilities of ODI Classic are available with ODI Web Edition" is correct; the web version retains full functionality for data integration tasks.
Incorrect Options:
A: ODI Web Edition is not limited to Oracle Linux; it runs on various platforms supported by OCI.
C: The Data Transforms Card in Database Actions uses a simplified UI, not full ODI Web Edition access.
This enhances data integration flexibility in the cloud.

NEW QUESTION # 49
Which two statements are true regarding active transactions when scaling OCPUs in an Autonomous Database? (Choose two.)

A. Active transactions continue running unaffected
B. Scaling can happen while there are active transactions in the database
C. Active transactions are terminated and rolled back
D. Active transactions are paused

Answer: A,B

Explanation:
Scaling OCPUs in Autonomous Database is designed to be seamless. The two true statements are:
Scaling can happen while there are active transactions in the database (B): ADB supports online scaling, meaning you can increase or decrease OCPUs (e.g., from 2 to 4) via the OCI console or CLI (e.g., oci db autonomous-database update --cpu-core-count 4) without stopping the database. Active transactions (e.g., INSERT INTO orders VALUES (...)) continue running during this process. Oracle's architecture ensures the database remains available, adjusting resources in the background. For example, a web app processing orders won't notice the scaling operation starting at 10:00 AM.
Active transactions continue running unaffected (C): During scaling, existing transactions are not interrupted, terminated, or paused. They complete normally, with Oracle managing resource allocation transparently (e.g., shifting CPU usage without killing sessions). For instance, a long-running UPDATE statement started before scaling finishes successfully, leveraging the database's high-availability design. The status shows "SCALING IN PROGRESS," but users experience no downtime.
The incorrect options are:
Active transactions are terminated and rolled back (A): False. Scaling is non-disruptive; transactions aren't killed or rolled back, preserving data integrity and user experience. Termination only occurs during explicit stops or failures, not scaling.
Active transactions are paused (D): False. There's no pausing mechanism during scaling; transactions run continuously, as pausing would disrupt OLTP or analytical workloads, countering ADB's autonomous promise.
This online scaling capability is a key benefit, ensuring uninterrupted service.

NEW QUESTION # 50
How can you keep Autonomous Database tables in sync with an on-premises data source?

A. Use the Link Data option on the Data Load page
B. Use the FEED DATA option on the Data Load page
C. Use the ORDS package on the Data Load page
D. Use the Cloud Locations card on the Data Load page

Answer: D

Explanation:
Keeping Autonomous Database tables synchronized with an on-premises data source involves loading and updating data from external locations. The Cloud Locations card on the Data Load page is the correct method:
Correct Answer (B): The Cloud Locations card allows users to connect to Oracle Cloud Infrastructure (OCI) Object Storage buckets and load data into Autonomous Database tables. By regularly updating the data in Object Storage from the on-premises source (e.g., via scripts or tools), you can maintain synchronization using this feature. It supports automated data loading workflows when paired with appropriate processes.
Incorrect Options:
A: Oracle REST Data Services (ORDS) is used for building RESTful web services, not for direct data synchronization from on-premises sources to Autonomous Database tables.
C: The Link Data option enables linking to external database tables (e.g., via database links), but it doesn't inherently synchronize data; it provides access rather than replication.
D: There is no "FEED DATA" option on the Data Load page in Autonomous Database; this appears to be a fabricated choice.
This method leverages OCI Object Storage as an intermediary, making it a practical solution for ongoing synchronization.

NEW QUESTION # 51
Who, and in which order, provisions dedicated Exadata Infrastructure resources?

A. The Fleet Administrator provisions the Autonomous Exadata Infrastructure. Then, the Database Administrator provisions the Autonomous Container DB and then the Autonomous DB
B. The Database Administrator provisions the Autonomous Exadata Infrastructure. Then, the Fleet Administrator provisions the Autonomous Container DB and then the Autonomous DB
C. The Fleet Administrator provisions the Autonomous Exadata Infrastructure and then the Autonomous Container DB and then, the Database Administrator provisions the Autonomous DB
D. The Database Administrator provisions the Autonomous Container DB and the Autonomous DB. Then, the Fleet Administrator provisions the Autonomous Exadata Infrastructure

Answer: C

Explanation:
Provisioning dedicated Exadata Infrastructure resources for Autonomous Database follows a strict hierarchical order, reflecting roles and dependencies. The correct sequence is:
The Fleet Administrator provisions the Autonomous Exadata Infrastructure and then the Autonomous Container DB and then, the Database Administrator provisions the Autonomous DB (A):
Fleet Administrator provisions Autonomous Exadata Infrastructure (AEI): The Fleet Admin, responsible for infrastructure management, starts by provisioning the AEI via the OCI console (e.g., "Create Autonomous Exadata Infrastructure"). This sets up the physical Exadata hardware, networking (e.g., VCN, subnets), and initial configuration (e.g., 2 racks, 4 nodes). For example, they might specify a compartment and region (e.g., us-ashburn-1), taking 1-2 hours for provisioning.
Fleet Administrator provisions Autonomous Container DB (ACD): Within the AEI, the Fleet Admin creates the ACD (e.g., "Create Autonomous Container Database"), a lightweight container hosting multiple ADBs. They set parameters like version (e.g., 19c) and maintenance windows (e.g., Sundays 02:00 UTC), ensuring the container is ready. This step might take 15-30 minutes.
Database Administrator provisions Autonomous DB (ADB): Finally, the DBA provisions individual ADBs within the ACD (e.g., "Create Autonomous Database"), choosing workload type (ATP/ADW), OCPUs (e.g., 4), and storage (e.g., 1 TB). For instance, they might create an ATP instance named PRODDB for a transactional app, completing setup in 5-10 minutes.
The incorrect options are:
B: The DBA can't provision the ACD or ADB before the AEI exists, as the infrastructure is foundational. The Fleet Admin must act first.
C: The DBA doesn't provision AEI-that's an infrastructure task beyond their scope. The Fleet Admin handles hardware setup.
D: The DBA can't provision the ACD; that's a Fleet Admin task within the AEI. Roles are distinct: Fleet Admin for infra, DBA for databases.
This order ensures proper infrastructure setup before database creation, aligning with OCI's role-based workflow.

NEW QUESTION # 52
......

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