Free Practice Questions for Oracle 1z0-931-25 Exam

Compartment quotas in Oracle Cloud Infrastructure (OCI) manage resource allocation:

Correct Answer (D): “Compartment quotas cannot be set on the root compartment” isfalse. Quotas can be applied to any compartment, including the root compartment, to limit resource usage tenancy-wide. While direct quotas on the root are less common (child compartment quotas are typically used), it’s technically possible via OCI policies.

True Statements:

A: Quotas offer flexible resource limits (e.g., OCPUs, storage) via policy statements.

B: Parent compartment quotas take precedence over child quotas, enforcing hierarchical control.

When an Autonomous Database is stopped, its operational state changes significantly:

Correct Answer (C): “User with DWROLE can still access the database” isnot correct. When the database is stopped, all access is disabled, including for users with roles like DWROLE (a predefined role for Data Warehouse tasks). The database is offline, and no connections or operations are possible until it is restarted.

True Statements:

A: Tools (e.g., SQL Developer, JDBC clients) cannot connect to a stopped instance because the database services are unavailable.

B: In-flight transactions and queries are terminated upon stopping, with any uncommitted changes rolled back to maintain data consistency.

Changing the ADMIN user’s password in an Autonomous Database on Shared Infrastructure is restricted to specific managed methods due to its serverless nature:

Correct Answer (C): “OS command line from the database server” is not permitted because Autonomous Database is fully managed by Oracle. Users do not have direct access to the underlying operating system or server, eliminating this as a viable option.

Valid Methods:

A: The Admin page in the OCI Console allows password changes via the “Change Administrator Password” option, a user-friendly GUI method.

B: The OCI CLI supports password updates using commands like oci db autonomous-database update with the --admin-password parameter.

Oracle Client Credentials (wallets) are essential for secure connections to the Autonomous Database. The false statement is:

The Wallet for the Autonomous Database is the same as the TDE wallet (A):This is incorrect. The Oracle Client Credential wallet (used for client authentication and connection security) is distinct from the Transparent Data Encryption (TDE) wallet (used to encrypt data at rest within the database). The client wallet contains certificates and keys for mutual TLS (mTLS) authentication, while the TDE wallet manages encryption keys for data security. They serve different purposes and are not the same.

The correct statements are:

You must have an Oracle Client Credential wallet in order to connect to the Autonomous Database (B):True. The wallet is required for mTLS, which is the default authentication method for Autonomous Databases, ensuring secure connections.

In addition to the Oracle Client Credential Wallet, a user must have a username and password in order to connect to the Autonomous Database (C):True. Alongside the wallet, a database username and password are needed for full authentication (mTLS + usercredentials).

The Oracle Client Credential file is downloaded as a ZIP file (D):True. When downloaded from the Oracle Cloud Infrastructure (OCI) console, the wallet is provided as a ZIP file containing configuration files like tnsnames.ora and certificates.

This distinction is critical for understanding security mechanisms in Autonomous Database.

Autonomous Database on Dedicated Infrastructure offers more control than shared infrastructure. The two correct statements are:

You, as the customer, are responsible for all patching operations (A):In dedicated infrastructure, customers manage patching for Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs), unlike shared infrastructure where Oracle handles it. You choose when to apply Release Updates (RUs) or skip them (up to two quarters), using the OCI console or API (e.g., oci db autonomous-container-database update). For example, you might schedule an RU for an ACD on a Saturday night, downloading the patch from Oracle and applying it manually to minimize downtime. This responsibility comes with the dedicated model’s flexibility.

You can set maintenance windows for each individual Autonomous Container Database (C):Dedicated infrastructure allows setting specific maintenance windows perACD, not just at the Exadata Infrastructure level. In the OCI console, under each ACD’s details, you configure a preferred time (e.g., “Sundays, 02:00-04:00 UTC”), ensuring patches or upgrades align with your schedule. For instance, ACD1 might patch Sundays, while ACD2 patches Tuesdays, tailoring downtime to different workloads.

The incorrect options are:

You can set maintenance windows for an Autonomous Exadata Infrastructure (B):Maintenance windows are set at the ACD level, not the broader Autonomous Exadata Infrastructure (AEI) level. AEI maintenance (e.g., hardware updates) is Oracle-managed, with notification but no customer scheduling.

Patching occurs on the first Sunday of each quarter (D):There’s no fixed schedule like “first Sunday.” In dedicated mode, you control patching timing within a quarter, notified by Oracle of available RUs, unlike shared infrastructure’s Oracle-driven schedule.

These statements highlight dedicated infrastructure’s customer-driven management.

Graph Studio in Autonomous Database supports graph-based analysis:

Correct Answer (C):Pattern matchingidentifies relationships (e.g., fraud rings) using graph queries like PGQL.

Correct Answer (D):Clusteringgroups related nodes (e.g., communities) using graph algorithms.

Correct Answer (B):Churn analysisleverages graph relationships to predict customer loss (e.g., via influence networks), though less emphasized than C and D, it’s a valid use case.

Incorrect Options:

A: Facial recognition is image-based, not graph-based.

Migrating to Autonomous Database requires robust tools:

Correct Answer (B):Oracle Zero Downtime Migration (ZDM)minimizes downtime by synchronizing data and schema changes while the source remains online, ideal for critical systems.

Correct Answer (C):GoldenGateprovides real-time replication, enabling near-zero downtime migration by continuously syncing data to Autonomous Database.

Correct Answer (D):Data Pumpexports data and schema to dump files, which are then imported into Autonomous Database, suitable for offline migrations.

Incorrect Options:

A: SFTP with CSV files is not a comprehensive migration method; it lacks schema migration and automation for complex databases.

Connecting a .NET application to Autonomous Database (ADB) requires a specific client library compatible with Oracle’s database connectivity standards. The correct software is:

Oracle Data Access Components for Windows (D):Oracle Data Access Components (ODAC) for Windows is the recommended software for .NET applications to connect to ADB. ODAC includes the Oracle Data Provider for .NET (ODP.NET), which supports ADO.NET interfaces for database access. It enables .NET developers to use familiar APIs (e.g., OracleConnection, OracleCommand) to interact with ADB over Oracle Net Services, leveraging the secure TLS connection required by ADB (via the client wallet). For example, a .NET app might use ODAC to execute SELECT * FROM customers against an ADB instance, authenticating with a wallet downloaded from the OCI console. ODAC supports both managed and unmanaged modes: the managed ODP.NET is lightweight and assembly-based, while the unmanaged version integrates with Oracle Client libraries. To set it up, developers install ODAC (e.g., via NuGet or Oracle’s download site), configure the wallet (e.g., tnsnames.ora), and write code like:

csharp

CollapseWrapCopy

using Oracle.ManagedDataAccess.Client;

string connString = "User Id=USER1;Password=pwd;Data Source=adb_high";

using (OracleConnection conn = new OracleConnection(connString)) {

conn.Open();

// Query execution here

}

This ensures seamless integration with ADB’s managed environment, supporting features like connection pooling and high performance.

The incorrect options are:

SQL*Plus (A):SQL*Plus is a command-line tool for SQL execution and administration, not a programmatic library for .NET applications. It’s unsuitable for embedding in a .NET app, as it lacks API integration and is meant for manual use (e.g., running scripts like SELECT * FROM table;).

You cannot use .NET with ADB (B):This is false. .NET is fully supported via ODAC, allowing applications (e.g., ASP.NET web apps or Windows services) to connect to ADB just like any Oracle database, provided the wallet and credentials are configured.

Java (C):Java uses JDBC (e.g., Oracle JDBC Driver) for database connectivity, not .NET. While JDBC works with ADB for Java apps, it’s irrelevant for a .NET environment, where ODAC is the standard.

ODAC’s robust support for .NET makes it the definitive choice, bridging Microsoft’s ecosystem with Oracle’s cloud database.

Full Detailed In-Depth Explanation:

A:True. Data Insights works with tables and business models in ADW.

B:False. Exclusive to Autonomous Database, not on-premises.

C:True. Search history is retrievable.

D:False. Included in ADW, not separately priced.

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.