1z0-931-25 Exam Dumps - Oracle Cloud Infrastructure Questions and Answers

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.

Connecting to Autonomous Database (ADB) via SQL Developer requires specific parameters. The correct answer is:

Connection Name (E):The Connection Name is a user-defined label in SQL Developer to identify the connection in the tool’s interface. It is not a technical requirement for establishing the database connection itself, making it optional in terms of connectivity.

The required parameters are:

Password (A):Essential for user authentication alongside the username.

Service (B):Refers to the service name (e.g., high, medium, low) from the wallet’s tnsnames.ora, specifying the performance level and connection type.

Username (C):Required to identify the database user.

Database name (D):Needed to specify the target database or PDB within the ADB instance, typically provided via the wallet configuration.

Without A, B, C, and D, the connection cannot be established, but E is merely a convenience.

Full Detailed In-Depth Explanation:

Bring Your Own License (BYOL) allows using existing on-premises Oracle licenses in the cloud:

A:False. Exadata is included in Autonomous Database; no separate license is needed.

B:False. Active Data Guard is an optional feature, not required for BYOL.

C:True. RAC is needed for BYOL when scaling beyond 16 OCPUs, as Autonomous Database uses RAC for high availability in larger deployments.

D:True. Multitenant is mandatory, as Autonomous Database uses a multitenant architecture (CDB/PDB).

E:False. TDE is included by default, not a BYOL requirement.

Oracle Autonomous Container Database (ACD) provides specific options for managing quarterly maintenance updates to ensure minimal disruption and flexibility. The three correct operations available are:

Reschedule and patch immediately (B):This option allows users to adjust the maintenance window to a more convenient time and apply the patch right away within that rescheduled window. It’s useful when the default schedule conflicts with business operations but immediate patching is still desired.

Reschedule patching (C):This option enables users to defer the patching to a later maintenance window that suits their operational needs, providing flexibility without applying the patch immediately.

Skip patching (D):Users can choose to skip a quarterly maintenance update entirely, which is beneficial if the current database version is stable and no immediate updates are required. Oracle allows skipping up to two consecutive quarterly updates for Autonomous Container Databases on dedicated infrastructure.

The incorrect options are:

Patch immediately (A):This is not a standalone option for quarterly updates on ACDs. Patching occurs within scheduled maintenance windows, and immediate patching outside of rescheduling is not supported as a distinct choice.

Apply a partial patch (E):Oracle does not support applying partial patches during quarterly maintenance updates. Updates are delivered as complete bundles to ensure consistency and security.

This aligns with Oracle’s maintenance policies for Autonomous Databases on dedicated infrastructure, where control over scheduling and skipping is provided, but partial patching is not an option.

The Always Free tier of Autonomous Database has specific limits. The two correct restrictions are:

Maximum of two Always Free Databases per OCI tenancy (B):OCI’s Always Free tier allows up to two free ADB instances per tenancy (e.g., one ATP, one ADW). This limit ensures fair resource distribution across users. For example, you might create FREEATP1 (1 OCPU, 20 GB) and FREEADW1 (1 OCPU, 20 GB) in your tenancy, but a third free instance isn’t permitted—you’d need a paid upgrade. This is tracked by tenancy OCID, visible in the OCI console under “Limits.”

Maximum of one OCPU per Database (D):Each Always Free ADB is capped at 1 OCPU, non-scalable, with 20 GB of storage. This restricts compute power (e.g., no auto-scaling to 3x like paid tiers), suitable for small workloads like dev/test apps. For instance, a free ATP instance runs a lightweight app with SELECT * FROM users, but can’t handle heavy concurrency due to the single OCPU.

The incorrect options are:

Supports only ATP as a workload type (A):False. Always Free supports both ATP (transactional) and ADW (warehouse) workload types, giving flexibility for OLTP or analytics (e.g., ATP for a web app, ADW for reports).

Oracle Application Express (APEX) not included (C):False. APEX is included in both free ATP and ADW instances, pre-installed and accessible via the OCI console (e.g., “Development” > “APEX”). You can build apps like a task tracker without extra cost.

These restrictions balance free access with resource constraints, encouraging upgrades for heavier use.

A refreshable clone in Autonomous Database is a read-only copy of a source database that syncs periodically, but it has a refresh time limit (typically 7 days). Once this limit is exceeded, specific actions are available. The two correct options are:

You can disconnect from the source to make the database a read/write database (B):After the refresh time limit passes, the clone can no longer sync with the source. You can “disconnect” it (via the OCI console or API, e.g., oci db autonomous-database update --is-refreshable-clone false), converting it into an independent, read/write Autonomous Database. This requires a new license and incurs full costs, but it allows modifications (e.g., INSERT or UPDATE) that were blocked in read-only mode. For example, a test clone might be disconnected to become a production instance after testing.

You can use the instance as a read-only database (C):Even after the refresh limit, the clone remains functional as a read-only database, retaining its last refreshed state. You can query it (e.g., SELECT * FROM sales) for analysis or reporting without further refreshes, though it won’t reflect source updates. This is useful if ongoing read-only access suffices without needing write capabilities.

The incorrect options are:

You can manually refresh the clone (A):False. Once the refresh time limit (e.g., 7 days) is exceeded, manual refreshes are not possible. The clone’s refresh capability expires, and it can’t sync again unless recreated. This is a fixed constraint to manage resource usage in ADB.

You can extend the refresh time limit (D):False. The refresh period (set during clonecreation, max 7 days) cannot be extended after provisioning. You’d need to create a new clone with a longer limit if needed, but post-expiry, no extension is allowed.

These options provide flexibility post-expiry, balancing read-only continuity and full database conversion.

DBMS_CLOUD.COPY_DATA loads data into Autonomous Database:

Correct Answer (B): “The source files can reside in Oracle Object Storage, Amazon S3 Object Storage, or Azure Blob Storage” is true. The procedure supports these cloud storage services with proper credentials.

Correct Answer (E): “A valid credential must be created prior to running the DBMS_CLOUD.COPY_DATA procedure” is true. Credentials (e.g., via DBMS_CLOUD.CREATE_CREDENTIAL) authenticate access to the source storage.

Incorrect Options:

A: Source files are not automatically removed; deletion requires separate action.

C: The target table must exist; COPY_DATA doesn’t create it.

SQL Developer Web in Autonomous Database relies on Oracle REST Data Services (ORDS) for access. The correct package is:

ORDS_ADMIN.ENABLE_SCHEMA (B):To allow a non-admin user (e.g., ANALYST1) to use SQL Developer Web, the ADMIN user executes ORDS_ADMIN.ENABLE_SCHEMA to enable the schema for ORDS access. This procedure activates the schema for RESTful services, granting privileges like CONNECT and SELECT implicitly for web-based SQL execution. Example:

BEGIN

ORDS_ADMIN.ENABLE_SCHEMA(p_schema => 'ANALYST1');

END;

After this, the user accesses SQL Developer Web via a URL (e.g., https:// /ords/analyst1/_sdw), logging in with their database credentials. This is necessary because SQL Developer Web runs on ORDS, and only enabled schemas can interact with it. For instance, an analyst might query SELECT * FROM sales in the web interface post-enablement, without needing full admin rights.

The incorrect options are:

ORDS_ADMIN.GRANT_SCHEMA (A):No such procedure exists in ORDS_ADMIN. Granting is handled via database roles/privileges (e.g., GRANT CONNECT), not a specific ORDS grant function.

ORDS_PRIV.ENABLE_SCHEMA (C):There’s no ORDS_PRIV package; this might confuse with ORDS_ADMIN. The correct package is ORDS_ADMIN for schema enablement.

SQLDEV_ADMIN.GRANT_SCHEMA (D):No SQLDEV_ADMIN package exists. SQL Developer Web access is managed through ORDS, not a separate SQL Developer-specific package.

ORDS_ADMIN.ENABLE_SCHEMA is the standard, secure way to enable non-admin access to this tool in ADB.

Oracle Database provides several techniques to optimize data access from Object Storage, particularly in the context of Autonomous Database, leveraging external tables and advanced storage formats. The question asks for four correct methods, and based on Oracle documentation, the following are the most applicable:

Correct Answer (A):Scan avoidance using partitioned external tables

Partitioned external tables allow Oracle Database to skip irrelevant partitions when querying data stored in Object Storage. By organizing data into partitions (e.g., by date or region), the database engine can prune partitions that don’t match the query predicates, significantly reducing the amount of data scanned and improving performance. This is a well-documented optimization for external data access in Oracle Database and Autonomous Database environments.

Correct Answer (D):Scan avoidance using columnar pruning for columnar stores like parquet and orc

Columnar pruning is a technique where only the required columns are read from columnar file formats such as Parquet or ORC stored in Object Storage. These formats store data column-wise, enabling the database to avoid scanning entire rows or irrelevant columns, which is particularly efficient for analytical queries common in Autonomous Data Warehouse (ADW). This is a standard optimization supported by Oracle’s external table framework when accessing Object Storage.

Correct Answer (E):Optimized data archive using hybrid partitioned tables

Hybrid partitioned tables combine local database partitions with external partitions stored in Object Storage. This allows older, less frequently accessed data to be archived efficiently in the cloud while remaining queryable alongside active data in the database. The database optimizes access by seamlessly integrating these partitions, reducing costs and improving archival efficiency. This feature is explicitly supported in Oracle Database and enhanced in Autonomous Database for data lifecycle management.

Correct Answer (F):Optimized data archive using partitioned external tables

Similar to hybrid partitioned tables, using partitioned external tables alone optimizes data archiving by storing historical data in Object Storage with partitioning (e.g., by year). This method enables efficient querying of archived data by pruning unneeded partitions, offering a cost-effective and scalable archival solution. It’s a distinct approach from hybrid tables, focusing solely on external storage, and is widely used in Oracle environments.

Incorrect Options:

B. Scan avoidance using columnar pruning for .csv files

CSV files are row-based, not columnar, and lack the internal structure of formats like Parquet or ORC. While Oracle can read CSVs from Object Storage via external tables, columnar pruning is not applicable because CSVs don’t support column-wise storage or metadata for pruning. This makes this option incorrect as a specific optimization technique, though basic predicate pushdown might still reduce scanning to some extent.

C. Scan avoidance using block skipping when reading parquet and orc files

Block skipping (or row group skipping) is a feature in some database systems where metadata in Parquet or ORC files allows skipping entire blocks of data based on query filters. While Oracle supports Parquet and ORC through external tables and can leverage their columnar nature (via pruning), “block skipping” is not explicitly highlighted as a primary optimization in Oracle’s documentation for Autonomous Database. It’s more commonly associated with systems like Apache Spark or Hive. Oracle’s focus is on columnar pruning and partitioning, making this option less accurate in this context.

Why Four Answers?

The question specifies “four ways,” and while six options are provided, A, D, E, and F are the most directly supported and documented methods in Oracle Autonomous Database for optimizing Object Storage access. Options B and C, while conceptually related to data access optimizations, are either inapplicable (CSV lacks columnar structure) or not explicitly emphasized (block skipping) in Oracle’s feature set for this purpose.

This selection aligns with Oracle’s focus on partitioning and columnar formats for efficient cloud data access, ensuring both performance and archival optimization.

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.