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

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.

Loading data into Autonomous Database from object storage (e.g., OCI Object Storage) relies on a specific PL/SQL package. The correct answer is:

DBMS_CLOUD (D):The DBMS_CLOUD package is Oracle’s cloud-native tool for interacting with external data sources, including object storage, in Autonomous Database. It provides procedures like DBMS_CLOUD.COPY_DATA to load data from files (e.g., CSV, JSON, Parquet) stored in OCI Object Storage buckets into ADB tables. For example, to load a CSV file sales.csv from a bucket, you’d:

BEGIN

DBMS_CLOUD.CREATE_CREDENTIAL(credential_name => 'OBJ_STORE_CRED', username => 'oci_user', password => 'auth_token');

DBMS_CLOUD.COPY_DATA(table_name => 'SALES', credential_name => 'OBJ_STORE_CRED', file_uri_list => 'https://objectstorage.region.oraclecloud.com/n/namespace/b/bucket/o/sales.csv', format = > json_object('type' value 'csv'));

END;

This package handles authentication (via OCI credentials), file parsing, and data insertion, supporting formats like text, Avro, and ORC. It’s integral to ADB’s cloud integration, abstracting low-level operations and ensuring security (e.g., via IAM auth).

The incorrect options are:

DBMS_RPC (A):This package doesn’t exist in Oracle Database. It might be a typo or confusion with remote procedure calls, unrelated to data loading.

DBMS_LOAD (B):No such package exists. It might confuse with SQL*Loader, but that’s a separate utility, not a PL/SQL package, and isn’t used directly in ADB for object storage.

DBMS_MIGRATE (C):This doesn’t exist either. It might be a misnomer for DBMS_DATAPUMP (for Data Pump), but that’s for database migration, not object storage loading.

DBMS_CLOUD is purpose-built for ADB’s cloud-first architecture, making data ingestion seamless and efficient.

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.

The Data Load card in Database Actions (within ADB’s web interface) simplifies data loading. The false statement is:

You must first manually create your database credentials using DBMS_CLOUD.CREATE_CREDENTIAL before accessing your Oracle Object Storage Bucket (D):This is incorrect. The Data Load card automates credential management for Oracle Object Storage by leveraging the ADB instance’s IAM permissions. When you select an OCI Object Storage bucket in the UI, it uses the instance’s resource principal or user OCI credentials (e.g., from your signed-in OCI session), eliminating the need to manually run DBMS_CLOUD.CREATE_CREDENTIAL. For example, uploading sales.csv from a bucket via the Data Load card requires only bucket selection and file mapping—no PL/SQL credential setup. This automation enhances usability, contrasting with manual methods where CREATE_CREDENTIAL is needed (e.g., in SQL scripts).

The true statements are:

Data formats supported include: text, CSV, JSON, Avro, and Parquet (A):The Data Load card supports these formats, parsing them into tables using DBMS_CLOUD under the hood. E.g., a JSON file { "id": 1, "name": "John" } loads as rows.

Data can be loaded from a local data source (B):You can upload files directly from your local machine (e.g., a CSV on your desktop) via the browser interface, staging them temporarily for loading.

Data can be uploaded from several cloud storage sources including S3, Azure, Google Cloud, and Oracle Object Storage (C):The card supports these external cloud sources, requiring credentials (e.g., AWS keys), alongside native OCI Object Storage integration.

Data can be loaded from a remote database using Database Links (E):DBLinks allow pulling data from another Oracle database (e.g., INSERT INTO local_table SELECT * FROM remote_table@link), supported in the Data Load card.

The automation of credentials in D is a key differentiator for the UI-based Data Load feature.

Keeping Autonomous Database tables synchronized with an on-premises data source involves loading and updating data from external locations. TheCloud Locations cardon the Data Loadpage is the correct method:

Correct Answer (B): The Cloud Locations card allows users to connect to Oracle Cloud Infrastructure (OCI) Object Storage buckets and load data into Autonomous Database tables. By regularly updating the data in Object Storage from the on-premises source (e.g., via scripts or tools), you can maintain synchronization using this feature. It supports automated data loading workflows when paired with appropriate processes.

Incorrect Options:

A: Oracle REST Data Services (ORDS) is used for building RESTful web services, not for direct data synchronization from on-premises sources to Autonomous Database tables.

C: The Link Data option enables linking to external database tables (e.g., via database links), but it doesn’t inherently synchronize data; it provides access rather than replication.

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:

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.

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.

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.

Full Detailed In-Depth Explanation:

Oracle Autonomous Database offers two primary services: Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP), each optimized for different workloads. SQL hints are directives embedded in SQL statements to influence the optimizer’s execution plan. However, their handling differs between the services:

Autonomous Data Warehouse (ADW):ADW is designed for analytical workloads and data warehousing, where query performance is critical. To ensure optimal execution, ADW’s optimizer relies heavily on its own statistics and algorithms, ignoring SQL hints by default. This behavior prevents user-provided hints from overriding the automated optimization strategies tailored for complex analytical queries.

Autonomous Transaction Processing (ATP):ATP targets transactional workloads (OLTP) and provides more flexibility. It does not ignore hints by default, allowing developers and DBAs to use hints to fine-tune query execution plans for specific transactional needs.

Thus, only ADW ignores hints by default, making option C the correct answer. Options A and B are incorrect because ATP does not share ADW’s default behavior, and option D incorrectly identifies ATP as the service that ignores hints.

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.

When auto scaling is enabled in Oracle Autonomous Database, it dynamically adjusts resources to handle workload demands. The correct answer is:

Enables the database to use up to 3x CPU/IO resources immediately when needed by the workload (D):Auto scaling allows the database to automatically scale its CPU and I/O resources up to three times the base number of OCPUs provisioned, without manual intervention. This ensures the database can handle sudden spikes in demand efficiently, reverting to the base level when the workload decreases. This feature applies to both Autonomous Transaction Processing (ATP) and Autonomous Data Warehouse (ADW).

The incorrect options are:

Increases the number of sessions available to the database (A):Auto scaling does not directly increase session limits; session capacity is tied to the service level (e.g., LOW, MEDIUM, HIGH) and not dynamically adjusted by auto scaling.

Scales the PGA and SGA size when needed for the workload (B):The Program Global Area (PGA) and System Global Area (SGA) are memory structures managed automatically by Oracle, but auto scaling specifically adjusts CPU and I/O resources, not memory allocation directly.

Database concurrency is scaled up when needed by the workload (C):While increased CPU/IO resources can improve concurrency indirectly, auto scaling does not explicitly manage concurrency levels; this is more related to connection service settings.

This capability enhances performance elasticity for unpredictable workloads.

Autonomous Data Guard on Shared Infrastructure enhances ADB availability with standby databases. The two correct actions are:

Switchover (C):A switchover swaps roles between the primary and standby databases in a planned manner, with no data loss (RPO = 0). You initiate this via the OCI console (e.g., “Switchover” button on the primary ADB’s Data Guard section) or API (e.g., oci db autonomous-database switchover). For example, before maintenance on the primary, you switch to the standby in another region (e.g., from us-ashburn-1 to us-phoenix-1), taking ~2minutes (RTO ≈ 2 min). This ensures continuity without downtime, as the standby becomes primary seamlessly.

Failover (D):A failover promotes the standby to primary during an unplanned outage (e.g., primary region failure), also with RPO = 0 due to synchronous replication. Trigger it via the OCI console (e.g., “Failover” on the standby) or API (e.g., oci db autonomous-database failover). For instance, if us-ashburn-1 crashes, the standby in us-phoenix-1 takes over in ~2 minutes, preserving all committed transactions. It’s automatic in some cases (e.g., severe failure), but manual initiation is supported too.

The incorrect options are:

View Apply Lag (A):While relevant in traditional Data Guard (measuring replication delay), Autonomous Data Guard on shared ADB uses synchronous replication (zero lag), and apply lag isn’t a user-actionable metric exposed in the UI—monitoring focuses on role status, not lag.

Reinstate (B):Reinstatement (restoring a failed primary as a standby) isn’t a user action in shared infrastructure. Oracle manages post-failover recovery, and users can’t manually reinstate; a new standby might be provisioned instead.

Change Protection Mode (E):Traditional Data Guard offers modes (e.g., Maximum Availability), but in Autonomous Data Guard on shared infrastructure, the mode is fixed (synchronous, akin to Maximum Availability), and users can’t modify it—control is limited to switchover/failover.

These actions ensure high availability with user-initiated role changes.

ACLs control network access to Autonomous Database on Shared Infrastructure:

Correct Answer (B): “When you restore a database, the existing ACLs are not overwritten by the restore” is true. ACLs are part of the database’s network configuration, preserved during restore operations to maintain security settings.

Incorrect Options:

A: ACLs can include both IP addresses and VCN CIDR blocks simultaneously; they’re not mutually exclusive.

C: ACLs apply to public endpoints, not just private ones, to restrict access.

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.

Full Detailed In-Depth Explanation:

Connecting a marketplace OCI image (e.g., a pre-configured VM) to an Autonomous Database on Shared Infrastructure involves network and compatibility considerations. Let’s analyze each option:

A. The Autonomous Database must belong to a Network Security Group (NSG):False. NSGs enhance security but are optional. Connectivity can be achieved without them using security lists or other rules.

B. The marketplace OCI image can be used with an Always Free Autonomous Database account:True. The Always Free tier supports connectivity from OCI marketplace images, provided network configurations (e.g., VCN, subnet) allow it. This makes B the correct answer.

C. A Private Endpoint is required to connect to the Autonomous Database on Shared Exadata infrastructure:False. While private endpoints enhance security, public endpoints are also supported for shared infrastructure, making this optional.

D. The marketplace OCI image does not support connecting to an AutonomousDatabase on Shared Infrastructure:False. Marketplace images are designed to integrate with OCI services, including Autonomous Databases on shared infrastructure.

Option B stands out as it aligns with Oracle’s support for Always Free tiers, offering flexibility for users to leverage marketplace tools without additional cost.

Cloning from a backup in Autonomous Database has a minimum age requirement:

Correct Answer (A): The earliest timestamp allowed is2 hoursafter the backup is created. This ensures data consistency by allowing time for any in-flight transactions or writes to stabilize in the backup, preventing incomplete or corrupted clones.

Incorrect Options:

B: 24 hours is the default retention period, not the minimum cloning age.

DBMS_CLOUD.COPY_DATA loads data into Autonomous Database:

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

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

Incorrect Options:

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

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

Full Detailed In-Depth Explanation:

The DBMS_CLOUD package facilitates cloud integration:

A:True. CREATE_EXTERNAL_TABLE creates external tables for querying cloud data directly.

B:False. No DELETE_FILE procedure exists; credential management uses DROP_CREDENTIAL.

C:True. CREATE_CREDENTIAL securely stores cloud storage credentials.

D:True. VALIDATE_EXTERNAL_TABLE checks file integrity and logs errors.

E:False. PUT_OBJECT uploads files to cloud storage, not into the database.

Full Detailed In-Depth Explanation:

Autonomous Database on Dedicated Infrastructure comprises:

Autonomous Exadata Infrastructure:The hardware and software foundation.

Autonomous Container Database:Hosts multiple ADB instances.

Autonomous Database:The managed database instance.

Autonomous Backup:Automatic backups to OCI Object Storage.

Other options include roles (B, C) or general OCI resources (D), not core components of the service. A is the correct composition.

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.

The Data Load Explore tool in Autonomous Database helps users analyze loaded data. The correct tab is:

Statistics tab (B):The Statistics tab displays detailed metadata about a table, including its size (e.g., in MB or GB), number of rows, and number of columns. For example, afterloading a CSV into a table SALES, this tab might show “Rows: 10,000, Columns: 5, Size: 2.3 MB,” providing a quick overview of the dataset’s scale and structure. It’s designed for understanding data volume and composition, aiding decisions like partitioning or indexing.

The incorrect options are:

Hierarchies tab (A):This tab shows hierarchical relationships in the data (e.g., parent-child links), not basic table metrics like size or row count. It’s more about data organization than statistics.

Data Sources tab (C):This tab lists the sources of loaded data (e.g., OCI Object Storage buckets or files), not the resulting table’s properties. It focuses on origin, not metrics.

Measures tab (D):The Measures tab defines numerical aggregates (e.g., sum of sales), used for analytics, not raw table statistics like row or column counts.

The Statistics tab is the go-to for table sizing details in Data Load Explore.

When Autonomous Database integrates with object storage (e.g., Oracle Cloud Infrastructure Object Storage), it optimizes data access. The correct answer is:

Scan partition tables (B):Oracle leverages partition pruning when scanning tables stored in object storage. This means it only scans the relevant partitions based on query predicates, significantly reducing I/O and improving performance. This is particularly effective for partitioned tables stored in formats like Parquet or ORC, which support partitioning.

The incorrect options are:

Prune columns in parquet files (A):While column pruning is possible with columnar formats like Parquet, the primary optimization highlighted in Oracle’s documentation for object storage integration is partition pruning, not column pruning alone.

Scan hybrid partition tables (C):“Hybrid partition tables” is not a standard term in this context. Oracle supports external partitioned tables, but the focus is on scanning partitioned tables, not a hybrid-specific optimization.

Prune columns in CSV files (D):CSV files are row-based and do not natively support column pruning, making this less effective compared to partition scanning.

Partition pruning is a key optimization for external tables in object storage, enhancing query efficiency.

Provisioning dedicated Exadata Infrastructure resources for Autonomous Database follows a specific hierarchical order:

Fleet Administrator, Autonomous Exadata Infrastructure -> Autonomous Container DB -> Database Administrator -> Autonomous DB (A):

Fleet Administrator provisions Autonomous Exadata Infrastructure:The Fleet Administrator, responsible for infrastructure management, first sets up the Autonomous Exadata Infrastructure (AEI), which includes the physical Exadata hardware and networking configuration.

Fleet Administrator provisions Autonomous Container DB (ACD):Within the AEI, the Fleet Administrator creates the ACD, a container that hosts multiple Autonomous Databases.

Database Administrator provisions Autonomous DB:Finally, the Database Administrator (DBA) provisions individual Autonomous Databases within the ACD, configuring them for specific workloads (e.g., ATP or ADW).

The incorrect options are:

B:The Database Administrator cannot provision the ACD before the AEI is set up by the Fleet Administrator.

C and D:The Database Administrator does not provision the AEI or ACD; these are infrastructure-level tasks handled by the Fleet Administrator.

This order ensures proper separation of infrastructure and database management responsibilities.

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.

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.

Fleet administrators manage resource utilization in Autonomous Database on Dedicated Infrastructure:

Correct Answer (B):Compartment quotasare used to set limits on OCPU usage across multiple database instances within a compartment. This OCI feature allows administrators to define maximum resource allocations, ensuring efficient use and cost control at a tenancy level.

Incorrect Options:

A: Oracle Machine Learning notebooks are for analytics, not resource control.

C: SQL Developer Web Console manages individual database tasks, not fleet-wide OCPU limits.

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.

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.

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 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.

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

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

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

The incorrect options are:

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

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

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

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.

Restoring an Autonomous Database involves specific recovery options:

Correct Answer (A): “Selecting the backup from which restore needs to be done” allows you to choose a specific automatic backup (listed by timestamp) in the OCI Console to restore the database to that state.

Correct Answer (D): “Specifying the point in time (timestamp) to restore” enables Point-in-Time Recovery (PITR), restoring to any moment within the backup retention period (default 60 days), even between backups.

Incorrect Options:

B: There’s no “snapshot of the backup” option; backups are managed as full/incremental sets, not user-selectable snapshots.

Oracle Data Safe enhances database security across various Oracle environments. The false statement is:

Oracle Data Safe only supports Autonomous Database (D):This is incorrect. Oracle Data Safe supports a wide range of Oracle databases, not just Autonomous Database. It works with Autonomous Database (shared and dedicated), Oracle Database Cloud Service (VM and Bare Metal), Exadata DB Systems, on-premises Oracle Databases, and Oracle Database on OCI Compute. For example, a DBA could use Data Safe to mask sensitive data in an on-premises 19c database or assess security in an Exadata Cloud@Customer deployment, not just ADB. This broad compatibility makes it a unified security tool across Oracle’s ecosystem.

The true statements are:

Oracle Data Safe helps you find sensitive data in your database by inspecting the actual data in your database and its data dictionary (A):Data Safe’s Data Discovery feature scans tables and metadata to identify sensitive columns (e.g., SSNs, credit card numbers), using predefined and custom patterns.

Oracle Data Safe helps you assess the security of your cloud database configurations by analyzing database configurations (B):The Security Assessment feature evaluates settings like encryption, auditing, and privileges, providing risk scores and recommendations.

Oracle Data Safe evaluates user types, how users are authenticated, and the password policies assigned to each user (C):User Assessment analyzes user accounts, authentication methods (e.g., password, SSO), and policies, highlighting risks like weak passwords.

The misconception in D limits Data Safe’s scope, which extends beyond ADB to all supported Oracle databases.

Python developers connect to Autonomous Database using a dedicated library:

Correct Answer (D): “By using Oracle Client and the cx_Oracle interface” (now renamed oracledb) is the recommended method. The Oracle Client provides the underlying connectivity, and cx_Oracle (or oracledb) is a Python module for database access, supporting wallet-based authentication to Autonomous Database.

Incorrect Options:

A: SQL Developer is a GUI tool, not a Python interface.

B: DBD-oracle is not a standard Python library for Oracle; it’s likely a typo or confusion with Perl’s DBI.

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.

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.

The Performance Hub in Autonomous Database provides real-time SQL monitoring with status indicators:

Correct Answer (A): Aclock iconin the Status column indicates “The SQL statement is queued.” This means the statement is waiting in a queue (e.g., due to resource limits or consumer group settings) and has not yet started executing.

Incorrect Options:

B: An executing statement typically shows a green progress bar or running icon, not a clock.

C: An error would display a red icon or error symbol, often with details in the UI.

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 Transaction Processing (ATP) supports specific service names for connectivity:

TPURGENT:High-priority service with 200 concurrent statements per OCPU and parallelism.

MEDIUM:Balanced service for moderate workloads.

HIGH:Optimized for reporting/batch jobs with high parallelism.

LOW:Low-priority service for minimal resource use.

TP:General-purpose transactional service.

TPPERFORMANTis not a recognized service name in ATP documentation, making A the correct answer.