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

Autonomous Database supports multiple methods for loading data, tailored to its cloud-managed nature. The three correct methods are:

Oracle Data Pump (A):Data Pump is a versatile tool for importing data into Autonomous Database. You export data from a source database (e.g., using expdp), upload the dump files to OCI Object Storage, and then use the DBMS_CLOUD package (e.g., DBMS_CLOUD.COPY_DATA) to import it. It’s ideal for bulk data migration, supporting complex schemas and large datasets. For example, a DBA might export a schema from an on-premises database, upload it to a bucket, and import it into ADB with minimal downtime.

Oracle GoldenGate (C):GoldenGate enables real-time data replication from sourcedatabases (on-premises or cloud) to Autonomous Database. It’s perfect for continuous data loading or synchronization, supporting both initial loads and ongoing change data capture. For instance, you could replicate transactional data from an OLTP system to ADB using GoldenGate’s CDC (Change Data Capture) capabilities, ensuring near-zero latency.

SQL*Loader (E):SQL*Loader loads data from flat files (e.g., CSV, text) into Autonomous Database. You upload files to OCI Object Storage and use DBMS_CLOUD procedures (e.g., DBMS_CLOUD.LOAD_DATA) to process them. It’s efficient for structured data imports, like loading a CSV of customer records, with options to handle errors and transformations.

The incorrect options are:

RMAN Restore (B):Recovery Manager (RMAN) is for backups and restores, not general data loading. While it can restore an ADB from a backup, it’s not a method for loading new data into an existing instance.

Transportable Tablespace (D):This method moves tablespaces between databases by copying data files, but it’s not supported in Autonomous Database due to its managed architecture, which restricts direct file-level operations.

These methods cater to different use cases: Data Pump for migrations, GoldenGate for replication, and SQL*Loader for file-based loads.

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.

Full Detailed In-Depth Explanation:

Since only four options are provided but the format requests two answers, I’ll assume E from a prior question context. Let’s evaluate:

A:True but conditional. Database Actions is accessible with a Private Endpoint, but requires proper network setup (e.g., VCN peering), not guaranteed by default.

B:True. Oracle APEX is accessed exclusively via the “Developer” menu in the Service Console, not other interfaces.

C:False. Oracle Machine Learning (OML) is available in both ADW and ATP, not just ADW.

D:False. Database Actions access requires specific user privileges (e.g., DWROLE), not granted to all users by default.

E (assumed):True. SQL Developer Web is exclusive to Autonomous Database, not traditional Oracle databases.

B and E are the most definitively true statements per documentation.

Full Detailed In-Depth Explanation:

Let’s evaluate each statement about Autonomous Data Warehouse (ADW) on Shared Exadata Infrastructure:

A. Oracle Database Result Cache is enabled by default for all SQL statements:True. ADW enables the Result Cache by default to improve query performance by storing frequently accessed results in memory.

B. You have direct access to the database node:False. ADW is a fully managed service; users do not have direct access to underlying nodes, which Oracle manages for patching, scaling, and security.

C. Parallelism is not enabled by default:False. Parallelism is enabled by default in ADWto optimize large analytical queries across multiple CPUs.

D. Compression is enabled by default. Autonomous Data Warehouse uses Hybrid Columnar Compression for all tables by default:True. Hybrid Columnar Compression (HCC) is applied automatically to reduce storage and enhance query performance.

Thus, A and D are correct, reflecting ADW’s default performance optimizations.

Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are optimized for different workloads, reflected in their configurations. The two differing optimizations are:

Memory Usage (A):ADW and ATP allocate memory differently to suit their purposes. ADW prioritizes a larger data cache (part of the SGA) to keep more data in memory, boosting analytical query performance (e.g., aggregations over millions of rows). For example, a SELECT SUM(sales) GROUP BY region runs faster with more cached data. ATP, conversely, balances memory across the SGA and PGA for transactional workloads, emphasizing concurrency and quick row-level operations (e.g., UPDATE orders SET status = 'shipped'). This difference ensures ADW excels at scan-heavy analytics, while ATP handles high-throughput updates.

Data Organization (B):ADW uses a columnar storage format (e.g., Hybrid Columnar Compression) optimized for analytics, storing data by column to speed up aggregations and reduce I/O (e.g., scanning only the sales column for a SUM). ATP uses a row-based format suited for OLTP, enabling fast single-row access and updates (e.g., retrieving or modifying a specific order_id). For instance, inserting a row in ATP is efficient due to row storage, while ADW’s columnar format accelerates SELECT AVG(price) FROM products.

The incorrect options are:

Backup Retention (C):Both ADW and ATP use the same automatic backup system (via Oracle’s Automatic Workload Repository), with a default 60-day retention adjustable by users. There’s no optimization difference here; it’s a shared managed feature.

Undo Management (D):Both databases use Oracle’s Flashback technology for undo (e.g., rolling back transactions or querying past states), with retention periods set similarly. Undo is managed automatically in both, not optimized differently.

These optimizations tailor ADW for analytics and ATP for transactions, despite their shared autonomous foundation.

Defining a maintenance schedule for Dedicated Exadata Infrastructure allows customization:

Correct Answer (B): “Month of the Quarter, Week of the Month, Day of the Week, Start Hour” is the correct set. For example, you can specify “Month 2 of Q1, Week 3, Wednesday, 02:00 AM,” aligning with quarterly planning while offering weekly and daily precision.

Incorrect Options:

A: “Quarter of the Year” and “Date of the Month” are less flexible than week-based options and not the standard format.

C: “Month of the Year” skips the quarterly structure used in dedicated maintenance.

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.

Full Detailed In-Depth Explanation:

The correct sequence for Oracle Machine Learning (OML) is:

Create Oracle Machine Learning User:First step to enable OML access.

Create Workspaces:Containers for organizing projects.

Create Projects:Groups for related notebooks within a workspace.

Create Notebooks:Environments for coding and analysis.

Run SQL Scripts:Executed within notebooks.

In the given list,Create Projects (2)comes beforeCreate Workspaces (3), which is reversed. Workspaces must exist before projects. Thus, C and D are out of order.

The Catalog tool in Autonomous Database provides metadata exploration:

Correct Answer (A): “You can delete an entity from the Autonomous Database via the Catalog tool” isfalse. The Catalog is a read-only interface for viewing database objects (tables, views, etc.) and their relationships; it does not support modification or deletion actions.

True Statements:

B: Filtering by name, schema, type, or application is a core search feature.

C: Viewing DDL (data definition language) for entities is supported.