1z0-931-25 Oracle Autonomous Database Cloud 2025 Professional Questions and Answers

Third-party software can connect to an Autonomous Database using standard Oracle connectivity options. The correct answer is:

Any protocol supported by Oracle Net Services (B):Autonomous Database leveragesOracle Net Services (also known as SQL*Net) for connectivity, supporting protocols like TCP/IP with TLS for secure communication. This allows a wide range of third-party tools (e.g., SQL Developer, Tableau, or custom applications) to connect using established Oracle networking standards.

The incorrect options are:

New ADB-specific protocols (A):There are no proprietary, ADB-specific protocols; it uses Oracle’s existing Net Services framework.

SQL*NET only (C):While SQLNet is part of Oracle Net Services, the broader term “Oracle Net Services” encompasses all supported protocols, not just SQLNet.

JDBC only (D):JDBC is a specific Java-based API for database connectivity, not a protocol, and it’s just one of many ways to connect via Oracle Net Services.

This flexibility ensures compatibility with diverse client applications.

Oracle Data Pump is a key tool for migrating databases to Autonomous Database. The two objects imported are:

Data (B):Data Pump imports the actual data from the source database into the target Autonomous Database. This includes rows from tables, LOBs, and other data types stored in the dump file (e.g., .dmp). For example, if you export a table CUSTOMERS with 1 million rows, Data Pump imports all that data into ADB using DBMS_CLOUD.COPY_DATA after uploading the dump to OCI Object Storage. This ensures the content of your database is transferred intact.

Schemas (C):Data Pump imports schema definitions, including tables, views, indexes, triggers, and other objects owned by the schema. For instance, exporting a schema HR with tables like EMPLOYEES and DEPARTMENTS will recreate those objects in ADB, preserving their structure. The impdp utility or DBMS_CLOUD handles schema metadata, though some objects (e.g., indexes) may be recreated automatically by ADB’s optimization.

The incorrect options are:

Tablespaces (A):Tablespaces are not imported directly. In Autonomous Database, storage is fully managed, and tablespaces are abstracted away. Data Pump imports data and schemas into ADB’s managed tablespaces (e.g., DATA), not user-defined ones from the source. For example, a source tablespace USERS isn’t replicated; its data is mapped to ADB’s default storage.

Report (D):“Report” is not a database object; it might refer to query outputs or logs, but Data Pump doesn’t import such entities. It focuses on database content, not external artifacts.

This process ensures a smooth migration of data and structure to ADB’s managed environment.

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:

Creating an Autonomous Database (ADB) via OCI’s REST API involves a specific endpoint. The correct command is:

POST /20160918/autonomousDatabases (D):This is the official REST API endpoint to create an ADB instance. The POST request to /20160918/autonomousDatabases (versioned at API 20160918) submits a JSON payload defining the database (e.g., compartment, name, workload type). Example:

curl -X POST "https://database.us-ashburn-1.oraclecloud.com/20160918/autonomousDatabases" \

-H "Authorization: Bearer " \

-H "Content-Type: application/json" \

-d '{

"compartmentId": "ocid1.compartment.oc1..example",

"dbName": "MYADB",

"cpuCoreCount": 1,

"dataStorageSizeInTBs": 1,

"dbWorkload": "OLTP",

"adminPassword": "Secure#123"

}'

This creates an ATP instance named MYADB with 1 OCPU and 1 TB storage. The response includes an OCID (e.g., ocid1.autonomousdatabase.oc1..example), and provisioning starts asynchronously, visible in the OCI console as “PROVISIONING.” The endpoint’s plural form (autonomousDatabases) reflects the resource collection, consistent with OCI API conventions.

The incorrect options are:

POST /20160918/createADB (A):No such endpoint exists. OCI APIs use resource-based paths (e.g., /autonomousDatabases), not action-specific ones like createADB.

POST /20160918/createautonomousDatabases (B):Incorrect syntax—APIs don’t prepend “create” to resource paths, and “autonomousDatabases” is lowercase here, matching the real endpoint.

POST /20160918/createDatabases (C):Too generic; it doesn’t specify “autonomous” databases, and no such endpoint exists for ADB creation.

This REST command is a programmatic alternative to console-based provisioning, ideal for automation.

Creating an Autonomous Transaction Processing (ATP) database via OCI CLI requires specific parameters:

Correct Answer (A): db-type is not a standard OCI CLI parameter for provisioning an Autonomous Database. The CLI uses parameters like db-workload to specify the type (e.g., ATP).

Used Parameters:

B: is-dedicated must be set to false for shared infrastructure.

C: db-workload is set to OLTP for ATP.

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.

Data Pump is a standard tool for migrating databases, including to Autonomous Database:

Correct Answer (A):Datais imported, encompassing table contents and other data objects, ensuring all records are transferred to the target Autonomous Database.

Correct Answer (B):Schemasare imported, including schema definitions (tables, views, indexes, etc.) and their metadata, preserving the database structure.

Incorrect Options:

C: Tablespaces are not imported directly. Autonomous Database manages its own storage internally, automatically mapping imported data to its storage architecture without requiring tablespace definitions from the source.

Full Detailed In-Depth Explanation:

When provisioning an Autonomous Database (ADB) on dedicated infrastructure, the placement within the infrastructure is critical:

A. Listener endpoint:Incorrect. This is for connectivity, not placement.

B. Client Credentials wallet:Incorrect. This is for secure connections, not determining location.

C. The container database in which the Autonomous instance should run:Correct. On dedicated infrastructure, an Autonomous Container Database (ACD) hosts multiple ADB instances. Selecting the ACD during provisioning determines where the ADB resides, affecting resource allocation and isolation.

D. The compartment:Incorrect. Compartments organize resources in OCI, but multiple ACDs can exist within a compartment, so this doesn’t pinpoint the exact location.

Choosing the ACD is a key provisioning step for dedicated deployments.

Application Continuity ensures seamless failover for applications:

Correct Answer (B): EXEC DBMS_CLOUD_ADMIN.ENABLE_APP_CONT(''); is the correct command for Autonomous Database on Shared Infrastructure. It enables Application Continuity for a specific service (e.g., tpurgent), leveraging the DBMS_CLOUD_ADMIN package designed for cloud-specific administration.

Incorrect Options:

A: ALTER SESSION only affects the current session, not persistent database-wide settings.

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.

Oracle Cloud Infrastructure (OCI) Identity and Access Management (IAM) defines four verb levels for policy permissions:

Read (B): Allows viewing resource details without modification (e.g., read autonomous-databases).

Manage (C): Permits full control, including creating, updating, and deleting resources (e.g., manage autonomous-databases).

Inspect (D): Enables listing resources and basic metadata without detailed access (e.g., inspect autonomous-databases).

Use (E): Allows interaction with resources (e.g., connecting to a database) without altering their configuration.

Incorrect Option:

When enabling auto scaling in an Oracle Autonomous Database, the feature dynamically adjusts resources based on workload demand, but certain configuration elements remain unchanged unless manually altered.

Amount of storage (A): Auto scaling focuses on adjusting CPU and I/O resources to meet performance needs. The storage allocation remains constant because it is a separately provisioned resource that requires manual adjustment via the OCI Console or API. This ensures that storage capacity is not inadvertently reduced or expanded without explicit user intent.

Parallelism settings (B): These settings determine how many parallel processes are used for query execution. Auto scaling does not modify this pre-defined configuration; it adjusts resource usage (e.g., CPU cores) without altering the parallelism framework established for the database.

Level of concurrency (E): Concurrency refers to the maximum number of simultaneous user sessions. While auto scaling can indirectly influence concurrency by adjusting available resources, the concurrency limit itself is a fixed setting that remains unchanged unless explicitly modified by the administrator.

Incorrect Options:

I/O resources (C): Auto scaling directly impacts I/O resources by increasing or decreasing them alongside CPU adjustments to handle workload fluctuations.

Enabling a new business analyst to use SQL Developer Web with Autonomous Database requires specific steps. The correct answer is:

Create a database user (with connect, resource, object privileges), enable the schema to use SQL Developer Web, and provide the user with the user-specific modified URL (C):

Create a database user:As the ADMIN user, create a new database user (e.g., ANALYST1) with CONNECT (to log in), RESOURCE (to create objects), and object-specific privileges (e.g., SELECT on target tables). Example: CREATE USER ANALYST1 IDENTIFIED BY "password"; GRANT CONNECT, RESOURCE TO ANALYST1; GRANT SELECT ON HR.EMPLOYEES TO ANALYST1;. This ensures the analyst can access and query tables.

Enable the schema for SQL Developer Web:Use the ORDS_ADMIN.ENABLE_SCHEMA procedure to activate the schema for web access. Example: EXEC ORDS_ADMIN.ENABLE_SCHEMA(p_schema => 'ANALYST1');. This step integrates the user with Oracle REST Data Services (ORDS), which powers SQL Developer Web in ADB.

Provide the user-specific URL:After enabling the schema, generate and share the SQL Developer Web URL, which includes the user’s credentials (e.g., https:// <adb-host>/ords/analyst1/_sdw). The analyst logs in with their database username and password, accessing a browser-based SQL interface to explore tables.

The incorrect options are:

Create a database user with connect, resource, and object privileges (A):This alone isn’t enough; without enabling the schema for SQL Developer Web, the user can’t access it via the web interface.

Create a database user with the default privileges (B):Default privileges (e.g., just CONNECT) are insufficient for table access or web use; specific grants and ORDS setup are needed.

Create an IDCS user, create a database user with connect, resource, and object privileges (D):Oracle Identity Cloud Service (IDCS) integration is optional and not required for basic SQL Developer Web access in ADB. It’s overkill unless SSO is mandated, which isn’t specified here.

This multi-step process ensures secure, web-based access tailored to the analyst’s needs.

Creating an Autonomous Database offers specific deployment options. The two correct ones are:

APEX Service on Dedicated Infrastructure (A):This option provisions an Autonomous Database on dedicated Exadata infrastructure with Oracle Application Express (APEX) pre-installed and optimized. It’s ideal for APEX-based apps (e.g., custom web forms) requiring isolated resources. In the OCI console, you select “Dedicated Infrastructure” and “APEX Service” as the workload type, specifying OCPUs and storage. For example, a company might deploy an APEX app for internal reporting on a dedicated ACD, ensuring performance isolation from other tenants.

Autonomous JSON Database on Shared Infrastructure (C):This creates a schema-less, JSON-centric ADB on shared infrastructure, optimized for document storage (e.g., { "order_id": 123, "items": [...] }). It’s provisioned via the OCI console under “Shared Infrastructure,” selecting “JSON Database” as the workload type. For instance, a mobile app might use it to store user data, leveraging SQL/JSON queries like SELECT JSON_VALUE(doc, '$.order_id'). It’s cost-effective and fully managed, sharing Exadata resources.

The incorrect options are:

APEX Service on Shared Infrastructure (B):There’s no distinct “APEX Service” workload type on shared infrastructure. APEX is available within ATP or ADW on shared infra, but it’s not a standalone option—you’d provision ATP and enable APEX manually, not as a dedicated “APEX Service.”

Autonomous JSON Database on Dedicated Infrastructure (D):JSON Database is onlyoffered on shared infrastructure, not dedicated. Dedicated options include ATP, ADW, and APEX Service, but JSON Database leverages shared resources for simplicity and cost.

These options cater to specific app development (APEX) and NoSQL (JSON) needs.

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.

Provisioning dedicated Exadata Infrastructure resources for Autonomous Database follows a strict hierarchical order, reflecting roles and dependencies. The correct sequence is:

The Fleet Administrator provisions the Autonomous Exadata Infrastructure and then the Autonomous Container DB and then, the Database Administrator provisions the Autonomous DB (A):

Fleet Administrator provisions Autonomous Exadata Infrastructure (AEI):The Fleet Admin, responsible for infrastructure management, starts by provisioning the AEI via the OCI console (e.g., “Create Autonomous Exadata Infrastructure”). This sets up the physical Exadata hardware, networking (e.g., VCN, subnets), and initial configuration (e.g., 2 racks, 4 nodes). For example, they might specify a compartment and region (e.g., us-ashburn-1), taking 1-2 hours for provisioning.

Fleet Administrator provisions Autonomous Container DB (ACD):Within the AEI, the Fleet Admin creates the ACD (e.g., “Create Autonomous Container Database”), a lightweight container hosting multiple ADBs. They set parameters like version (e.g., 19c) and maintenance windows (e.g., Sundays 02:00 UTC), ensuring the container is ready. This step might take 15-30 minutes.

Database Administrator provisions Autonomous DB (ADB):Finally, the DBA provisions individual ADBs within the ACD (e.g., “Create Autonomous Database”), choosing workload type (ATP/ADW), OCPUs (e.g., 4), and storage (e.g., 1 TB). For instance, they might create an ATP instance named PRODDB for a transactional app, completing setup in 5-10 minutes.

The incorrect options are:

B:The DBA can’t provision the ACD or ADB before the AEI exists, as the infrastructure is foundational. The Fleet Admin must act first.

C:The DBA doesn’t provision AEI—that’s an infrastructure task beyond their scope. The Fleet Admin handles hardware setup.

D:The DBA can’t provision the ACD; that’s a Fleet Admin task within the AEI. Roles are distinct: Fleet Admin for infra, DBA for databases.

This order ensures proper infrastructure setup before database creation, aligning with OCI’s role-based workflow.

Autonomous Database on Dedicated Infrastructure provides unique metrics due to its Exadata underpinnings:

Correct Answer (C): “IOPS, Storage used by tablespace, Apply and Transport Lag” are specific to dedicated deployments:

IOPS: Measures input/output operations per second, reflecting Exadata storage performance.

Storage used by tablespace: Tracks storage allocation at the tablespace level, unique to dedicated infrastructure’s granular control.

Apply and Transport Lag: Relevant for Data Guard configurations, showing replication delays, available only in dedicated setups with standby databases.

Incorrect Options:

A: Transaction Count, Running Statements, and Sessions are general metrics available in both shared and dedicated environments.

B: CPU and Storage Utilization are standard across all Autonomous Database types.

Autonomous Transaction Processing (ATP) provides predefined connection services to optimize different workload types. For a high-concurrency OLTP application with parallel reporting queries, the appropriate service is:

HIGH (C):The HIGH connection service in ATP is designed for workloads requiring high concurrency and throughput, making it ideal for a production OLTP application like "EXAM" that handles many simultaneous transactions (e.g., user requests). Additionally, HIGH supports parallel query execution, which is critical for running reporting queries efficiently during off-peak times. It allocates more resources (e.g., OCPUs and I/O) compared to other services, ensuring performance for both transactional and analytical tasks. For example, the OLTP app might use HIGH to process thousands of concurrent user requests, while a nightly report leverages parallel processing to aggregate data quickly. In the wallet’s tnsnames.ora, the HIGH service might look like exam_high = (DESCRIPTION=...), offering the best balance for this mixed workload.

The incorrect options are:

TPURGENT (A):The TPURGENT service prioritizes low-latency, time-critical transactions (e.g., sub-second response times for single-user actions). It’s optimized for latency-sensitive operations, not high concurrency or parallel reporting, and would underperform for the broader OLTP and reporting needs here. For instance, it’s better suited for a single critical transaction than a multi-user system.

TP (B):The TP (Transaction Processing) service is a general-purpose option for OLTP workloads, offering moderate concurrency and latency. However, it’s not optimized for high concurrency or parallel query execution, making it less suitable for a production app with reporting demands. It’s a middle ground, not a top-tier performer like HIGH.

MEDIUM (D):The MEDIUM service balances performance and resource usage for moderate workloads. It supports some concurrency but lacks the resource allocation and parallel execution capabilities of HIGH, making it inadequate for a high-concurrency OLTP system with reporting requirements.

The HIGH service’s ability to handle both high transactional volume and parallel reporting aligns perfectly with the scenario’s strict performance needs, all within ATP’s zero-maintenance framework.

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.

Provisioning an Autonomous Database with a private endpoint requires:

Correct Answer (A):Network Security Group (NSG)defines traffic rules for the private endpoint, restricting access to specific sources.

Correct Answer (B):VCN (Virtual Cloud Network)provides the network foundation, hosting the subnet and endpoint.

Correct Answer (E):Subnet(private) contains the database’s private endpoint, isolating it from public access.

Incorrect Options:

C: Security Lists apply to subnets but are optional with NSGs, which are preferred for finer control.

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.

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.

Oracle APEX (Application Express) in Autonomous Database requires a workspace for development:

Correct Answer (A): “Access the APEX Administrator Services and create the workspace for the developer” is the correct step. As an admin, you log into the APEX Administration Services (via Database Actions or a direct URL), navigate to “Manage Workspaces,” and create a new workspace, assigning it to the developer with a schema and credentials.

Incorrect Options:

B: Creating an IDCS (Identity Cloud Service) user with an APEX role manages authentication but doesn’t create a workspace.

C: A database user with an APEX role lacks a workspace; it’s a prerequisite step, not the solution.

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 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.

Private endpoints enhance security for Autonomous Database:

Correct Answer (A): “A Network Security Group is required within your Virtual Cloud Network before you can provision a shared Autonomous Database to use private endpoints” is true. An NSG is mandatory to define ingress/egress rules for the private subnet hosting the endpoint.

Correct Answer (C): “Private endpoints can be configured when you clone a shared Autonomous Database that was initially created with public endpoints” is true. Cloning allows switching to a private endpoint configuration.

Incorrect Options:

B: Private endpoints are inaccessible from the public internet, even with ACLs; that’s their purpose.

Full Detailed In-Depth Explanation:

Supported formats:

A:False. DDL is a language, not a data format.

B:True. AVRO is supported for structured data.

C:True. Parquet is optimized for analytics.

D:False. DOC is not supported.

E:True. JSON is flexible for semi-structured data.

F:True. CSV is widely used for tabular data.

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.

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.

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.

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.

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.

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.

SSH keys in OCI are used for secure access, but their role in API calls needs clarification. The correct answer is:

Navigate to Identity, select Users panel on the console and select "Add Public Key" (D):This is the correct process, but with a caveat—it’s about API authentication, not SSH for API calls per se. In OCI, API calls are authenticated using API keys (RSA key pairs), not SSH keys directly. To enable API access for a user, you generate a public/private key pair (e.g., using openssl), then add the public key in the OCI console:

Go to “Identity & Security” > “Users.”

Select the user (e.g., john.doe).

Under “API Keys,” click “Add API Key.”

Upload the public key (e.g., ~/.oci/oci_api_key_public.pem).This associates the key with the user, allowing API calls (e.g., oci db autonomous-database list) authenticated via the private key and config file (e.g., ~/.oci/config). The question’s phrasing (“SSH key”) likely misuses terminology, intending “API key,” as SSH keys are for compute instance access, not APIs. For example, a user might add a key to call the ADB API, securing requests with a signature.

The incorrect options are:

On the Autonomous Database Console (A):The ADB console manages database-specific settings (e.g., wallets), not user API keys, which are handled at the tenancy level under Identity.

SSH keys are not required in Oracle Cloud Infrastructure (B):False in general—SSH keys are needed for compute instances—but misleading here, as API calls use API keys, not SSH keys. Authentication (e.g., via tokens or keys) is required for APIs.

SSH keys cannot be added from console. They have to be added using REST APIs only (C):False. The console supports adding API keys under the Users panel; REST APIs (e.g., CreateApiKey) are an alternative, not the only method.

The correct path reflects OCI’s user management for API access, despite the SSH terminology confusion.

Oracle Autonomous Database on Dedicated Infrastructure enforces automatic maintenance to ensure security, stability, and performance. The correct answer is:

You cannot permanently disable scheduled Automatic Maintenance (C):Oracle mandates periodic maintenance updates (e.g., patching) to keep the database secure and compliant with the latest fixes. Customers can influence the timing of these updates but cannot disable them permanently. This is a design principle of the Autonomous Database service to reduce administrative overhead while maintaining system integrity.

The incorrect options are:

Change the Automatic Maintenance Schedule to 'No Preference' (A):This setting allows Oracle to determine the maintenance window but does not disable maintenance. It still occurs as scheduled by Oracle.

Change the Automatic Maintenance Schedule to 'None' (B):There is no 'None' option in the maintenance scheduling settings for Autonomous Dedicated Infrastructure. This is not a valid configuration.

Change the Automatic Maintenance Schedule to 'Specify a Schedule' but do not select any month, week, or day (D):This is not a functional workaround. Specifying a schedule requires selecting a valid time window, and leaving it blank does not prevent maintenance; it simply reverts to Oracle’s default scheduling.

Oracle’s documentation confirms that while customers can reschedule or skip specific maintenance runs (up to two consecutive quarters), permanently disabling automatic maintenance is not permitted to ensure the system remains up-to-date and secure.

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.

Full Detailed In-Depth Explanation:

The Oracle Autonomous JSON Database is a specialized service for managing JSON data with NoSQL-style capabilities. Let’s evaluate each statement:

A. It supports NoSQL-style, document-centric applications:True. Autonomous JSON Database is designed for NoSQL workloads, supporting document-based applications via APIs like SODA (Simple Oracle Document Access).

B. There is a 20 GB limit on JSON collection:False. The Oracle documentation does not specify a fixed 20 GB limit on JSON collections. Storage capacity is determined by the overall database size, which can scale dynamically without a specific cap on individual collections. This makes B the false statement.

C. JSON data is stored natively in the database:True. JSON data is stored in a binary format optimized for performance, avoiding the need for parsing or transformation during access.

D. You can promote Autonomous JSON Database to Autonomous Transaction Processing:True. Oracle allows promoting an Autonomous JSON Database to ATP, enabling relational capabilities if application needs evolve.

The false claim about a 20 GB limit likely stems from confusion with other database constraints, but no such restriction exists for JSON collections in Autonomous JSON Database.

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.

Oracle Data Pump is a powerful tool for migrating databases to Autonomous Database (ADB). The two correct advantages are:

Data Pump can exclude migration of objects like indexes and materialized views that are not needed by Autonomous Database (C):True. Data Pump’s EXCLUDE parameter allows skipping objects like indexes and materialized views during export (e.g., expdp ... EXCLUDE=INDEX,MATERIALIZED_VIEW). In ADB, these objects are often redundantbecause the database automatically creates and manages them based on workload (e.g., auto-indexing). For example, exporting a schema with EXCLUDE=INDEX from an on-premises database reduces migration overhead, as ADB recreates necessary indexes post-import, optimizing for its managed environment. This flexibility minimizes unnecessary data transfer and speeds up the process.

Data Pump is platform-independent - it can migrate Oracle databases running on any platform (D):True. Data Pump uses a platform-agnostic dump file format (.dmp), enabling migration from any Oracle Database (e.g., on Linux, Windows, or Solaris) to ADB in the cloud. For instance, you could export from an Oracle 12c database on AIX, upload the dump to OCI Object Storage, and import it into ADB using DBMS_CLOUD.COPY_DATA, regardless of endianness or OS differences (handled by Data Pump’s conversion). This universality makes it ideal for heterogeneous migrations.

The incorrect options are:

Data Pump is faster to migrate database than using RMAN (A):False. Speed depends on context—RMAN (Recovery Manager) is faster for physical migrations (e.g., restoring backups) of entire databases, especially large ones, due to block-level copying. Data Pump, a logical migration tool, extracts and loads data row-by-row, which can be slower for massive datasets but offers more control (e.g., schema selection). No universal speed advantage exists; it’s workload-specific.

Data Pump creates the tablespaces used by your Autonomous Database (B):False. In ADB, tablespaces are fully managed by Oracle (e.g., DATA tablespace), and Data Pump doesn’t create them. It imports data into existing, pre-allocated storage, ignoring source tablespace definitions. E.g., a source tablespace USERS is mapped to ADB’s default storage, not recreated.

These advantages make Data Pump a versatile, tailored migration solution for ADB.

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.

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.