Free and Premium Oracle 1z0-931-25 Dumps Questions Answers

Downloading Autonomous Database credentials (client wallet) is necessary for secure connections. The two correct actions are:

Find the service console for your Autonomous Database, then pick administration, then download the credential wallet (B):In the OCI console, navigate to the Autonomous Database service console (e.g., via the “Database” section). Select your ADB instance, go to the “Administration” tab, and click “Download Client Credentials (Wallet).” You’ll set a password and download a ZIP file containing files like tnsnames.ora and certificates. This method is straightforward for DBAs managing the instance directly from its service page.

Click on the Autonomous Database in the menu, click a database name, then choose DB Connection button, then download the wallet (D):From the OCI console’s main navigation, go to “Autonomous Database,” select your database by name, and click the “DB Connection” button on the details page. Then, select “Download Wallet,” provide a password, and download the ZIP file. This is a common path for users accessing connectivity details directly from the database overview.

The incorrect options are:

Click the compute section of the menu, then choose instance configurations, then download wallet (A):The “Compute” section is for virtual machines, not databases. Credentials are tied to the ADB service, not compute instances.

Click on the Object Storage and find your Autonomous bucket and download the wallet credentials (C):Object Storage holds user data or backups, not the wallet credentials, which are generated and downloaded from the ADB service interface.

Both B and D provide secure access to the wallet for tools like SQL Developer.

The indexing pipeline in Oracle Text processes text for search:

Correct Answer (D): “Lexer” divides text into tokens (words, symbols) based on language rules and settings (e.g., whitespace, punctuation). It’s the stage responsible for tokenization in Oracle’s text indexing process.

Incorrect Options:

A: Sectioner identifies document sections (e.g., headers), not tokens.

B: Tokenizer is a generic term, but in Oracle Text, “Lexer” is the specific component.

Full Detailed In-Depth Explanation:

Autonomous JSON Database supports:

A:True. SODA provides NoSQL-style access for JSON documents.

B:False. SQL is secondary; SODA/REST are primary for JSON data.

C:True. REST APIs are supported but require enablement.

D:True. The OCI console offers the JSON Online Developer tool.

E:False. No such downloadable tool exists for Autonomous JSON.

Full Detailed In-Depth Explanation:

The Service Console is a database-specific management interface:

A:False. Auto-scaling is managed via the OCI Console, not the Service Console.

B:True. The Service Console allows monitoring and terminating runaway SQL statements that consume excessive resources.

C:False. Manual backups are created through OCI Console or SQL commands, not the Service Console.

D:False. Moving compartments is an OCI Console function, not a Service Console task.

Setting up notifications for scheduled shutdowns leverages OCI Events:

Correct Answer (A): Creating a rule for the 'Autonomous Database STOP END' event in OCI Events triggers a notification (e.g., email via Notification Service) when the shutdown completes. This is the recommended method for tracking lifecycle events in Autonomous Database.

Incorrect Options:

B: There is no specific “Shutdown” metric in OCI Metrics; alarms monitor performance metrics, not lifecycle events like shutdowns.

C: Database triggers like BEFORE SHUTDOWN are not supported in Autonomous Database due to its managed nature, and they wouldn’t integrate with OCI notifications.

Disabling Autonomous Data Guard affects the standby database:

Correct Answer (A): “The standby database is terminated” is true. When Data Guard is disabled via the OCI Console or API, the standby database is deleted, ending its role as a replica. This is a permanent action requiring re-enablement to recreate a standby.

Incorrect Options:

B: The standby doesn’t become read-write; it’s removed entirely.

C: It doesn’t remain read-only; termination stops all operations.

The scenario requires a low-maintenance, high-performance database for an OLTP web application with occasional reporting. The correct answer is:

ATP using 'tpurgent' and 'high' TNS services to separate connection types (A):Autonomous Transaction Processing (ATP) is ideal here. It’s a fully managed database optimized for OLTP workloads (e.g., scheduling service requests) with zero maintenance overhead—Oracle handles patching, backups, and tuning. ATP supports multiple connection services:

'tpurgent':Prioritizes low-latency, time-critical transactions (e.g., customer scheduling requests), ensuring fast response times for the web app.

'high':Suited for high-concurrency or reporting queries, allowing operational reports to run during non-peak hours without impacting the OLTP workload.By using these predefined services, the architecture separates transactional and reporting workloads within the same database, meeting performance needs without additional administration. For example, the web app connects via tpurgent for real-time updates, while a reporting tool uses high for batch queries at night, leveraging ATP’s auto-scaling if needed.

The incorrect options are:

Since the application needs to be highly available, it should be deployed on a Kubernetes Cluster (B):This misinterprets the question—it’s about the database service,not the application deployment. Kubernetes is for container orchestration, not a database solution, and adds complexity counter to the low-maintenance goal.

It is best to build a separate data warehouse, and move the OLTP data on a nightly basis (C):While a separate Autonomous Data Warehouse (ADW) could handle reporting, it requires data movement (e.g., via ETL), increasing admin effort and complexity, which the DBA Manager wants to avoid. ATP can handle both workloads with proper service separation.

ADW since operational reporting is a higher priority in this scenario (D):ADW is optimized for analytics, not OLTP. The web app’s transactional needs are primary, with reporting secondary and occasional, making ATP more suitable.

ATP’s self-managing nature and service flexibility make it the best fit.

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.

Graph query languages, like Oracle’s Property Graph Query Language (PGQL), are designed for graph databases:

Correct Answer (D): “Ability to specify patterns” is a defining feature. Graph queries excel at defining and matching patterns (e.g., nodes and edges) to explore relationships, such as finding paths or subgraphs, critical for applications like social network analysis or fraud detection.

Incorrect Options:

A: Key-value queries are typical of NoSQL key-value stores, not graph databases.

B: While scripting may be possible in some contexts, it’s not a core feature of graph query languages.

When designing access controls for an Autonomous Dedicated environment, Oracle recommends redundancy and separation for security and manageability:

Correct Answer (D): “Create at least 2 of each resource” (subnets, compartments, user groups) is a best practice:

Subnets: Using at least two subnets (e.g., one public, one private) enhances security by segregating traffic and provides failover options if one subnet encounters issues.

Compartments: Multiple compartments allow logical separation (e.g., dev, test, prod), simplifying access control and resource management.

User Groups: At least two groups (e.g., admins, developers) streamline permission assignments and reduce the risk of over-privileging users.

Incorrect Options:

A: OCI allows multiple subnets and compartments; restricting to one limits flexibility and security.

B: There’s no such limitation; multiple resources are supported and encouraged.

Moving resources between compartments in OCI has specific rules:

Correct Answer (C): “Autonomous Exadata Infrastructure instances and Autonomous Container Databases have no dependent resources that move with them. Associated (non-dependent) resources remain in their current compartments” is correct. For dedicated deployments, moving these resources leaves related items (e.g., backups, network configurations) in their original compartments unless explicitly moved.

Incorrect Options:

A: Backups move with the database instance in shared infrastructure, not dedicated.

B: Permissions are required for both source and target compartments.

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.

Provisioning an Autonomous Database without using the OCI Console is possible through programmatic methods. The correct answer is:

Using the cloud infrastructure command line interface or REST API calls (D):The Oracle Cloud Infrastructure Command Line Interface (OCI CLI) and REST APIs allow users to provision and manage Autonomous Database resources programmatically. This method is ideal for automation or when GUI access is not preferred. For example, the OCI CLI command oci db autonomous-database create can be used to provision a database by specifying parameters like compartment ID, database name, and workload type. Similarly, a REST API POST request to /autonomousDatabases achieves the same result.

The incorrect options are:

Using the DBCA on the database server (A):The Database Configuration Assistant (DBCA) is a tool for on-premises Oracle databases, not for cloud-based Autonomous Databases, which are fully managed by Oracle.

Connecting to the cloud infrastructure console using the SSH wallet (B):SSH wallets are for secure shell access to compute instances, not for provisioning databases or interacting with the OCI Console.

It cannot be done (C):This is false, as programmatic provisioning via CLI or API is explicitly supported.

This capability enhances automation and integration into DevOps workflows.

Full Detailed In-Depth Explanation:

The Data Load page in Database Actions supports loading data from:

A. Local Files:True. Users can upload files from their local device.

B. Files in Oracle Cloud Storage:True. OCI Object Storage is a supported source.

C. REST endpoints:False. REST is not a direct data source for Data Load; it’s used for programmatic access.

D. Files in AWS S3 Storage:True. Integration with AWS S3 is supported for cloud flexibility.

E. Backup files in block storage:False. Block storage backups are not accessible via Data Load.

A, B, and D are the correct options per Oracle’s documentation.

Oracle Autonomous JSON Database is a specialized variant of Autonomous Database. The correct workload is:

Schema-less, document-centric (D):Autonomous JSON Database is designed for applications needing flexible, schema-less data storage and retrieval, particularly JSON documents. It’s a NoSQL-style database optimized for document-centric workloads, such as web or mobile apps storing user profiles, IoT data, or content management systems. For example, a social media app might store user posts as JSON documents { "user": "John", "post": "Hello world" }, allowing dynamic field additions without schema changes. It supports SQL/JSON queries (e.g., SELECT JSON_VALUE(doc, '$.user')), blending relational and NoSQL benefits, and auto-manages indexing for performance.

The incorrect options are:

Data Marts (A):Data marts are structured, analytical stores for aggregated data, better suited to Autonomous Data Warehouse (ADW), which excels at columnar storage and complex queries, not JSON’s flexible format.

Transactions (B):Traditional OLTP transactions (e.g., banking records) are the domain of Autonomous Transaction Processing (ATP), which uses rigid schemas for consistency, unlike JSON Database’s schema-less approach.

Data Lakes (C):Data lakes store raw, mixed-format data (e.g., JSON, CSV, Parquet) for later processing, typically in object storage, not a managed database like Autonomous JSON. While JSON Database handles JSON, it’s not a data lake replacement.

This workload leverages JSON Database’s agility for modern, unstructured data applications.

Migrating a PDB to Autonomous Database has limitations:

Correct Answer (B): “PDBs cannot be migrated to an Autonomous Database using plug, unplug, or clone” is true. Autonomous Database does not support direct plugging/unplugging of PDBs due to its managed architecture and differing storage/backup mechanisms.

Incorrect Options:

A: Unplugging into an XML file is valid for traditional PDBs, but Autonomous Database doesn’t accept this for migration.

C: Cloning via database link isn’t a standard method; it’s more aligned with replication tools like GoldenGate.

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.

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.

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:

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.

Oracle provides specialized index types for different data indexing needs. The correct answer is:

CTXCAT (B):The CTXCAT index type is specifically designed for indexing catalog information, such as product catalogs or structured data with short text fields. It supports fast queries on structured data combined with text search, making it ideal for applications like e-commerce catalogs.

The incorrect options are:

CONTEXT (A):The CONTEXT index is used for full-text search on large unstructured text data (e.g., documents), not specifically for catalog information.

CTXRULE (C):The CTXRULE index is designed for rule-based classification of text, not for catalog indexing.

CONSTRAINS (D):This appears to be a typo (likely meant "CONSTRAINTS"), but constraints are not index types; they enforce data integrity rules, not indexing.

CTXCAT enhances performance for catalog-style queries, distinguishing it from other text index types.

In Oracle Cloud Infrastructure (OCI), the Notifications service is used to send messages (e.g., via email, SMS, or HTTP endpoints) to subscribers. The correct terminology for the communication channel is:

Topic (C):A "topic" in OCI Notifications is the named entity that acts as a communication channel. Publishers send messages to a topic, and subscribers (e.g., email addresses, SMS numbers, or custom endpoints) receive those messages based on their subscription to that topic. For example, you might create a topic called "DatabaseAlerts" to send notifications about database events. When a message is published to this topic, all subscribed endpoints (e.g., an email like user@example.com) receive it. This design follows a publish-subscribe (pub/sub) model, making "topic" the central concept for message distribution.

The incorrect options are:

Subject (A):The "subject" is a field within a message (e.g., the subject line of an email), not the channel itself. It describes the content of an individual notification but doesn’t define the mechanism for sending it. For instance, an email notification might have a subject like "Database Maintenance Scheduled," but the topic is the channel delivering it.

Notification (B):A "notification" refers to the actual message being sent (the payload), not the channel through which it travels. It’s the output of the process, not the infrastructure enabling it. For example, a notification might be "Database is down," but it’s sent via a topic.

Event (D):An "event" is an occurrence or trigger (e.g., a database failover) that might generate a notification, but it’s not the channel. Events are inputs that can be monitored by services like OCI Events, which then publish to a topic in Notifications.

The use of "topic" aligns with OCI’s architecture for scalable, decoupled messaging. To illustrate, you’d create a topic in the OCI console under "Notifications," configure subscriptions (e.g., email or SMS), and then use APIs or triggers to publish messages to it. This abstraction ensures flexibility and reliability in message delivery across various protocols.

Data Lakes in OCI Object Storage store raw data for analysis. The three correct characteristics are:

Schema on read (C):Data Lakes store data in its raw, native format (e.g., JSON, CSV, Parquet) without a predefined schema. The schema is applied when data is read or processed, not when written, offering flexibility. For example, a Parquet file with sales data might be queried with SQL only when analyzed, not structured upfront like in a database.

Multiple subject areas (D):Data Lakes aggregate data from diverse sources—sales, HR, IoT—spanning multiple subject areas. This enables cross-domain analysis, like combining customer data with weather data for insights, all stored in a single OCI bucket.

Mixed data types (E):Data Lakes support varied formats: structured (e.g., CSV tables), semi-structured (e.g., JSON documents), and unstructured (e.g., videos). For instance, a bucket might hold CSV logs, JSON events, and image files, all accessible for processing.

The incorrect options are:

High concurrency (A):Data Lakes in Object Storage are not designed for high-concurrency transactional access (e.g., thousands of simultaneous updates). They’re optimized for batch processing or analytics, unlike ATP’s concurrency focus.

High transaction performance (B):Transactional performance (e.g., fast commits) is a database strength, not a Data Lake’s. Object Storage prioritizes scalability and durability over transactional speed, making it unsuitable for OLTP workloads.

These traits make Data Lakes ideal for big data analytics, not real-time transactions.

Autonomous Data Warehouse (ADW) uses consumer groups (High, Medium, Low) to manage resource allocation:

Correct Answer (A): “Low provides highest concurrency and lowest resources, and DoP is 1” is true. The Low group is designed for many lightweight, short-running queries, offering maximum concurrent sessions but minimal CPU/memory per session, with a Degree of Parallelism (DoP) of 1 (serial execution).

Incorrect Options:

B: High prioritizes resources, not concurrency; it has fewer sessions with more power.

C: Medium offers balanced resources and concurrency; queries can run in parallel (DoP > 1), not just serially.

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.

Full Detailed In-Depth Explanation:

REST APIs use HTTP verbs:

A:True. POST creates new resources, such as an Autonomous Database instance.

B:False. GET retrieves data, not creates.

C:False. PUT updates existing resources.

D:False. INSERT is not a REST verb; it’s SQL-specific.

Oracle Spatial Studio is a self-service tool for working with spatial data in Autonomous Database. The three correct functions are:

Map visualization (A):Spatial Studio provides robust capabilities to visualize spatial data on interactive maps, enabling users to explore geographic patterns and relationships visually.

Spatial analysis (C):It offers tools for performing spatial operations like proximityanalysis, spatial joins, and buffering, which are essential for deriving insights from geographic data.

Spatial data editing (E):Users can edit spatial data, such as modifying geometries or updating attributes, directly within Spatial Studio, making it a powerful tool for data management.

The incorrect options are:

Custom SQL queries (B):While Spatial Studio supports spatial operations, it is primarily a graphical tool and does not focus on executing custom SQL queries. Such functionality is more aligned with tools like SQL Developer.

Geocoding (D):Geocoding (converting addresses to coordinates) is not a core feature of Spatial Studio. It focuses on visualization, analysis, and editing rather than address-to-coordinate conversion, which is typically handled by separate Oracle services or tools.

These functions align with Spatial Studio’s purpose of simplifying spatial data management and analysis.

Oracle Cloud Infrastructure (OCI) is designed with a hierarchical structure to ensure high availability and fault tolerance:

Correct Answer (B): “An OCI region is a localized geographic area, and an availability domain is one or more data centers located within a region” accurately describes OCI’s architecture. A region is a standalone geographic area (e.g., US East), and availability domains (ADs) are isolated data centers within that region, enhancing resilience.

Correct Answer (D): “Because availability domains do not share infrastructure such as power or cooling, or the internal availability domain network, a failure at one availability domain within a region is unlikely to impact the availability of the others within the same region” reflects OCI’s design for fault isolation. ADs are physically separate, minimizing the risk of cascading failures.

Incorrect Options:

A: Regions are independent, not dependent, and there’s no 5,000-kilometer restriction; they are globally distributed for latency and redundancy purposes.

Management operations for Autonomous Databases on Shared Exadata Infrastructure are limited due to its fully managed nature. The correct statement is:

You cannot configure the scheduling for your Autonomous Databases on Shared Exadata Infrastructure (C):In shared infrastructure, Oracle fully controls maintenance scheduling (e.g., patching, upgrades). Unlike dedicated infrastructure, where users can set maintenance windows, shared ADB users cannot adjust timing. Oracle notifies users of upcoming maintenance (e.g., via email or console), typically in a 7-day window, but the exact schedule is Oracle-driven to optimize the shared Exadata platform. For example, a quarterly patch might occur on a Tuesday at 2 AM UTC, and users must adapt, not reschedule.

The incorrect options are:

You can skip a scheduled maintenance run... (A):False. Shared infrastructure does not allow skipping maintenance runs, even for two quarters. This flexibility exists only in dedicated infrastructure, where users have more control (e.g., skipping up to two consecutive updates). In shared mode, Oracle enforces updates for security and stability across all tenants.

You can perform a "rolling restart"... (B):False. Rolling restarts (restarting nodes sequentially for availability) are not user-initiated in ADB shared infrastructure. Restarts, if needed, are managed by Oracle during maintenance, and users cannot control the process orensure node-by-node availability.

You can choose to use Release Update or Release Update Revision updates... (D):False. In shared infrastructure, Oracle applies Release Updates (RUs) uniformly across all databases; users cannot choose between RU or Release Update Revisions (RURs), a feature reserved for dedicated deployments.

This reflects the trade-off of shared infrastructure: lower cost and management effort for less control.

When an Autonomous Database is stopped, limited actions are available:

Correct Answer (B):Startis possible to bring the database back online via the OCI Console or API.

Correct Answer (C):Update License type(e.g., from License Included to Bring Your Own License) can be performed while stopped, as it’s a configuration change not requiring database activity.

Incorrect Options:

A: Changing the admin password requires the database to be running for security validation.

Addressing a storage I/O bottleneck for insert throughput in Autonomous Database involves resource adjustments:

Correct Answer (C): “Increase the number of OCPUs allocated to the database” boosts processing power, which directly improves I/O performance. In Autonomous Database, OCPUs handle both compute and I/O operations; more OCPUs increase the I/O bandwidth, reducing the bottleneck for insert-heavy workloads.

Incorrect Options:

A: Removing non-JSON data may optimize storage use but doesn’t directly addressI/O throughput for inserts.

B: “Noisy neighbors” is a shared infrastructure concern, but migration isn’t a standard solution for I/O bottlenecks and requires Oracle intervention, not user control.

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.

Oracle recommends best practices for effective alarm management:

Correct Answer (A):Suppress alarms during investigationsprevents notification overload while troubleshooting, focusing attention on the issue.

Correct Answer (C):Select the correct alarm interval for your metricensures timely alerts without excessive noise (e.g., 1-minute intervals for critical metrics).

Correct Answer (D):Routinely tune your alarmsadjusts thresholds and settings to match workload changes, maintaining relevance.

Incorrect Option:

Full Detailed In-Depth Explanation:

Service connections in Autonomous Database:

A. DBNAME_LOW:Optimized for high concurrency with minimal resources per query, ideal for many simultaneous queries.

B. DBNAME_MEDIUM:Balanced concurrency and performance.

C. DBNAME_HIGH:Prioritizes individual query performance, not concurrency.

D. DBNAME_CONCURRENT:Not a valid service name.

Restricting access to an Autonomous Database to specific IPs involves network security controls. The correct answer is:

Access Control List (C):In Autonomous Database, an Access Control List (ACL) defines which IP addresses or CIDR blocks (e.g., 192.168.1.0/24) can connect to the database. You configure this via the OCI console under the ADB’s “Access Control List” settings, adding rules like “Allow TCP from 10.0.0.0/16 on port 1522.” This applies to public endpoints (shared infrastructure) or private endpoints with additional network rules, ensuring only authorized IPs can initiate connections. For example, a company might restrict access to its office VPN range, blocking all other traffic. ACLs work at the database level, complementing VCN security.

The incorrect options are:

Security List (A):Security Lists operate at the VCN subnet level, controlling traffic to all resources in the subnet (e.g., ingress TCP 1522 to an ADB subnet). While useful, they’re broader than ADB-specific ACLs, which target the database instance directly, making ACLs the precise answer here.

IP Vault (B):There’s no “IP Vault” in OCI. This might confuse OCI Vault (for secrets), but it doesn’t manage IP access.

IPSec List (D):IPSec secures traffic via VPNs, not IP allowlisting for database access. It’s unrelated to ADB connectivity restrictions.

ACLs provide a database-specific, user-friendly way to enforce IP-based access control.

Securing an Autonomous Database after a user departs involves:

Correct Answer (C): “Rotate the instance wallet and share the new wallet with the remaining users” invalidates the old wallet’s credentials (e.g., certificates in ewallet.p12). Since the wallet secures client connections, rotating it ensures the departed user’s access is revoked, even if they retained a copy.

Incorrect Options:

A: Trusting the user is a security risk, not a solution.

B: Deleting the database user ID doesn’t address wallet-based access if credentials were shared externally.

Viewing the maintenance history of Autonomous Exadata Infrastructure (AEI) requires navigating the OCI console correctly. The correct path is:

Under Solutions and Platforms then Platform Services then Autonomous Exadata (C):In the OCI console, AEI is categorized under “Solutions and Platforms” (a section for integrated services), then “Platform Services” (covering cloud platform offerings), and finally “Autonomous Exadata.” Here, you select your AEI instance (e.g., by name or OCID), and the details page displays a “Maintenance History” section listing past events (e.g., patching dates, durations, and statuses like “Completed on 2025-03-01”). For example, a quarterly RU applied on January 15 might show “Patch Applied: RU 23.1” with start/end times. This path reflects AEI’s role as a dedicated platform supporting Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs).

The incorrect options are:

Under Core Infrastructure then Compute then Autonomous Exadata (A):“Core Infrastructure” > “Compute” is for virtual machines or bare metal hosts, not Exadata infrastructure. AEI isn’t a compute instance; it’s a database platform.

Under Database then Autonomous Transaction Processing then Autonomous Exadata (B):“Database” > “Autonomous Transaction Processing” focuses on ATP instances, not the underlying Exadata infrastructure. AEI maintenance is separate from specific ADB types.

Under Core Infrastructure then Autonomous Exadata (D):“Core Infrastructure” doesn’t directly list AEI; it’s too broad and lacks the “Platform Services” context needed for Exadata-specific management.

This navigation ensures you access AEI-specific maintenance details efficiently.

ADW and ATP are tailored for different workloads:

Correct Answer (C): “Only ADW uses columnar compression by default” is true. ADW employs Hybrid Columnar Compression (HCC) for analytics, optimizing storage and query performance, while ATP uses row-based storage for transactional workloads (though HCC can be enabled manually).

Incorrect Options:

A: Both ADW and ATP manage optimizer statistics automatically.

B: Autoscaling is supported by both ADW and ATP.

Importing Data Pump files into an Autonomous Database on Dedicated Infrastructure requires compatibility with Oracle-managed cloud storage services:

Correct Answer (C):Oracle Cloud Infrastructure Object Storage Classicis an older OCI storage service that supports Data Pump imports. Users can upload dump files to a Classic bucket and use the DBMS_CLOUD package to import them into the database.

Correct Answer (E):Oracle Cloud Infrastructure Object Storage(the modern OCI Object Storage) is fully supported for Data Pump imports, offering scalability and integration with Autonomous Database via DBMS_CLOUD.

Incorrect Options:

A: Amazon S3 is not natively supported for direct Data Pump imports into Autonomous Database on Dedicated Infrastructure without additional integration steps.

B: Azure Blob Storage is similarly unsupported natively; Autonomous Database prioritizes OCI storage.

Full Detailed In-Depth Explanation:

A:False. APEX is for app development, not data exploration.

B:False. SQL Developer Web is for SQL queries, not pivot tables.

C:True. Business Models in ADW automates data exploration and generates pivot tables.

D:False. Data Load is for importing data, not analysis.

Manual backups in Autonomous Database are stored in OCI Object Storage, and the bucket name follows a strict convention. The correct name is:

BACKUP_DBSRV1 (D):For manual backups, ADB uses a bucket named BACKUP_ (all uppercase). Here, DBSRV1 is the database’s unique name (not the display name PRODDB), so the bucket must be BACKUP_DBSRV1. This bucket is automatically created by Oracle when you initiate a manual backup via the OCI console (e.g., “Create Manual Backup” button) or API (e.g., oci db autonomous-database backup create). For example, backing up DBSRV1 on March 18, 2025, stores files like backup_DBSRV1_20250318.dmp in this bucket. The unique name ensures uniqueness across the tenancy, as display names (e.g., PRODDB) might not be unique but the DB_UNIQUE_NAME is system-assigned and distinct.

The incorrect options are:

backup_proddb (A):This uses the display name proddb and lowercase, violating the BACKUP_ uppercase convention.

BACKUP_PRODDB (B):While uppercase, it uses the display name PRODDB, not the unique name DBSRV1, so it’s incorrect. Display names are for human readability, not system identification.

backup_dbsrv1 (C):This uses lowercase and lacks the exact BACKUP_ prefix format, failing Oracle’s naming rule.

The rigid naming ensures consistency and automation in ADB’s backup system.

Autonomous Data Guard enhances high availability for Autonomous Database. The two true statements are:

RPO is 0 minutes for an automatic failover (C):Recovery Point Objective (RPO) measures potential data loss. With Autonomous Data Guard, the standby database is synchronously replicated with the primary, ensuring zero data loss (RPO = 0) during an automatic failover, as all transactions are mirrored in real-time.

RTO is 2 minutes for an automatic failover (E):Recovery Time Objective (RTO) measures downtime during failover. For Autonomous Data Guard, Oracle specifies an RTO of approximately 2 minutes for automatic failovers, reflecting the time to detect failure and promote the standby to primary.

The incorrect options are:

RTO and RPO are adjustable through the OCI console (A):RTO and RPO are fixed by the Autonomous Data Guard architecture and cannot be manually adjusted via the OCI console.

RPO is adjustable, but RTO is always 5 minutes (B):RPO is not adjustable (it’s 0 due to synchronous replication), and RTO is not fixed at 5 minutes; it’s typically 2 minutes for automatic failover.

RTO and RPO are 0 minutes for manual failovers (D):Manual failovers (switchovers) have an RTO greater than 0 (typically a few minutes) due to manual initiation, though RPO remains 0 with synchronous replication.

These values ensure minimal disruption and data loss.

Critical events in Autonomous Database are those requiring immediate attention due to potential security or operational impacts:

Correct Answer (D): “Admin Password Warning” is a critical event because it indicates the admin password is nearing expiration (typically within 7 days). If not updated, it could lock out administrative access, posing a security and availability risk.

Incorrect Options:

A: “Maintenance Begin” is an operational event, not critical, as it’s planned and managed by Oracle.

B: “Database Connection” is a routine activity, not an event requiring urgent action.

C: “Schedule Maintenance Warning” is informational, not critical, as it’s a precursorto planned maintenance.

The OCI Command Line Interface (CLI) provides a range of commands for managing Autonomous Database via OCI APIs. The correct answer is:

Create, Get, List, Stop, Restore (B):These are key operations supported by the OCI CLI for Autonomous Database:

Create:oci db autonomous-database create provisions a new ADB instance.

Get:oci db autonomous-database get retrieves details of a specific ADB.

List:oci db autonomous-database list lists all ADBs in a compartment.

Stop:oci db autonomous-database stop halts the database.

Restore:oci db autonomous-database restore restores from a backup.

The incorrect options are:

A (Start, Delete, Update, Query, Stop):“Query” is not a CLI command; “Delete” and “Update” are valid but not part of this specific subset.

C (Create, Query, Update, List, Start):“Query” is invalid; “Update” is supported but not listed here.

D (Create, Query, List, Stop, Restore):“Query” is not a valid CLI operation.

This subset reflects common management tasks via CLI.