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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	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 (Q94-Q99):

NEW QUESTION # 94
What is the correct way to list all files in the default data pump directory?

A. You cannot list files in the default data pump directory from Autonomous Data Warehouse (ADW)
B. By executing SELECT * FROM DBMS_CLOUD.LIST_FILES('DATA_PUMP_DIR');
C. Log onto ADW server and issue ls -al on the command line
D. By executing SELECT * FROM UTL_FILE.LIST('DATA_PUMP_DIR');

Answer: B

Explanation:
In Oracle Autonomous Database, the DBMS_CLOUD package provides tools to interact with cloud storage and directory operations, including listing files in the default Data Pump directory (DATA_PUMP_DIR).
Correct Answer (A): The statement SELECT * FROM DBMS_CLOUD.LIST_FILES('DATA_PUMP_DIR'); is the officially supported method to list files in the DATA_PUMP_DIR. This function returns a result set with details about files in the specified directory, tailored for the managed environment of Autonomous Database.
Incorrect Options:
B: This is false; you can list files in DATA_PUMP_DIR using DBMS_CLOUD.LIST_FILES, as it is designed for this purpose in ADW.
C: The UTL_FILE package is not recommended for Autonomous Database due to its limitations in a cloud-managed environment. DBMS_CLOUD is the preferred utility for such operations. Additionally, the syntax UTL_FILE.LIST is incorrect; the proper procedure would be UTL_FILE.FGETATTR or similar, but it's still not applicable here.
D: Autonomous Database is a fully managed service, and users do not have direct command-line access to the underlying server. Commands like ls -al are unavailable as there's no shell access.
This approach ensures secure and efficient file management within the constraints of a serverless cloud database.

NEW QUESTION # 95
Oracle Data Safe is a unified control center for your Oracle databases that helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Which statement is FALSE?

A. Oracle Data Safe helps you find sensitive data in your database by inspecting the actual data in your database and its data dictionary.
B. Oracle Data Safe helps you assess the security of your cloud database configurations by analyzing database configurations.
C. Oracle Data Safe evaluates user types, how users are authenticated, and the password policies assigned to each user.
D. Oracle Data Safe only supports Autonomous Databases.

Answer: D

Explanation:
Full Detailed In-Depth Explanation:
Oracle Data Safe enhances database security across various deployments. Let's evaluate:
A: True. Data Safe assesses cloud database configurations for vulnerabilities.
B: True. It evaluates user authentication, types, and password policies.
C: False. Data Safe supports Autonomous Databases, Exadata Cloud Service, OCI VMs, and on-premises Oracle databases, not just Autonomous Databases.
D: True. It scans data and metadata to identify sensitive information.
Option C is the false statement, as Data Safe's scope extends beyond Autonomous Databases.

NEW QUESTION # 96
Which statement is true about OCPUs and storage when you choose to scale your Autonomous Database?

A. Increasing OCPUs will automatically increase storage
B. OCPUs and storage can be scaled independently
C. Use auto scaling to increase storage
D. OCPUs and storage must remain in sync

Answer: B

Explanation:
Scaling resources in Autonomous Database offers flexibility. The true statement is:
OCPUs and storage can be scaled independently (A): In Autonomous Database, you can adjust the number of OCPUs (compute resources) and storage capacity (in terabytes) separately via the OCI console or CLI. For example, you might provision an ADB with 2 OCPUs and 1 TB of storage. Later, you could scale to 4 OCPUs without changing storage, or increase storage to 2 TB without touching OCPUs. This decoupling allows tailored resource allocation-e.g., more compute for a CPU-intensive workload or more storage for growing data-without over-provisioning. Scaling is online, with no downtime, and status shows "SCALING IN PROGRESS" during the operation.
The incorrect options are:
Use auto scaling to increase storage (B): Auto scaling applies to OCPUs only, allowing up to 3x the base CPU allocation dynamically. Storage scaling is manual; you specify a new size (e.g., via oci db autonomous-database update), not via auto scaling.
Increasing OCPUs will automatically increase storage (C): There's no automatic linkage between OCPU and storage scaling. They are independent parameters, and increasing one does not affect the other unless explicitly requested.
OCPUs and storage must remain in sync (D): No such synchronization is required. You can have 1 OCPU with 10 TB or 10 OCPUs with 1 TB, depending on workload needs.
This independence is a hallmark of Autonomous Database's elasticity.

NEW QUESTION # 97
Which native data type is used to store spatial information?

A. SDO_RELATE
B. SDO_GEOMETRY
C. SDO_LOCATION
D. GEO_JSON

Answer: B

Explanation:
Oracle Database supports spatial data with a dedicated data type:
Correct Answer (A): SDO_GEOMETRY is the native data type for storing spatial information, such as points, lines, and polygons, in a structured format compatible with spatial queries and operations.
Incorrect Options:
B: SDO_LOCATION is not a valid data type; it may be a confusion with SDO_GEOMETRY.
C: SDO_RELATE is a spatial operator for relationship analysis, not a storage type.
D: GEO_JSON is a format for spatial data, not a native Oracle data type (though it can be parsed into SDO_GEOMETRY).
This type enables advanced geospatial functionality.

NEW QUESTION # 98
Which file is NOT a component of the client credentials wallet used to connect to an Oracle Autonomous Database?

A. keystore.jks
B. sqlnet.ora
C. cwallet.sso
D. ewallet.p12
E. protocol.ora

Answer: E

Explanation:
The client credentials wallet for connecting to an Oracle Autonomous Database contains specific files required for secure connectivity. These files are downloaded from the OCI Console when you generate a wallet:
Correct Answer (A): protocol.ora is not a standard component of the client credentials wallet. It is typically used in traditional Oracle Database setups to define protocol parameters (e.g., TCP vs. IPC), but in Autonomous Database, such details are managed by Oracle and embedded within other wallet files like ewallet.p12.
Included Files:
B . ewallet.p12: Contains the encrypted private key and certificates for authentication.
C . sqlnet.ora: Specifies network configuration details (e.g., wallet location, encryption settings).
D . keystore.jks: A Java KeyStore file for Java-based applications to authenticate with the database.
E . cwallet.sso: Supports single sign-on (SSO) by storing service credentials.
Additionally, tnsnames.ora and truststore.jks (not listed here but mentioned in the original) are also part of the wallet, defining service aliases and trusted certificates, respectively. Since protocol.ora is not included or required, it's the correct exclusion.

NEW QUESTION # 99
......

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