1Z0-931-25 Practice Test Questions Updated 151 Questions [Q69-Q94]

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1Z0-931-25 Practice Test Questions Updated 151 Questions

Oracle 1Z0-931-25 Dumps - Secret To Pass in First Attempt

NEW QUESTION # 69
A customer wants to increase the throughput of their inserts. They have discovered that the bottleneck is in the storage I/Os of their environment. What should they do to remove this bottleneck?

  • A. Run the DBMS_CLOUD.INCREASE_THROUGHPUT procedure.
  • B. Remove any non-JSON data from the database.
  • C. Increase the number of OCPUs allocated to the database.
  • D. Ask Support to migrate their setup to a node without noisy neighbors.

Answer: C

Explanation:
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 address I/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.
D: There is no DBMS_CLOUD.INCREASE_THROUGHPUT procedure; this is a fabricated option.
Scaling OCPUs is the most effective user-controlled solution.


NEW QUESTION # 70
Which statement is correct about the Service Console in an Autonomous Database?

  • A. You can use the Service Console to manage runaway SQL statements on Autonomous DB.
  • B. You can use the Service Console to move Autonomous DB between compartments.
  • C. You can use the Service Console to create manual backups of Autonomous Database.
  • D. You can use the Service Console to enable or disable auto-scaling of Autonomous DB.

Answer: A

Explanation:
Full Detailed In-Depth Explanation:
The Service Console in Autonomous Database is for database-level management:
A: False. Auto-scaling is managed via OCI console.
B: True. It allows monitoring and terminating runaway SQL statements.
C: False. Compartment moves are OCI console tasks.
D: False. Manual backups are initiated via OCI or SQL*Plus.


NEW QUESTION # 71
Which two objects are imported when using Data Pump to migrate your Oracle database to Autonomous Database? (Choose two.)

  • A. Data
  • B. Tablespaces
  • C. Schemas
  • D. Report

Answer: A,C

Explanation:
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.


NEW QUESTION # 72
Which two statements are correct about Autonomous Data Warehouse on Shared Exadata Infrastructure?

  • A. Compression is enabled by default. Autonomous Data Warehouse uses Hybrid Columnar Compression for all tables by default.
  • B. You have direct access to the database node.
  • C. Oracle Database Result Cache is enabled by default for all SQL statements.
  • D. Parallelism is not enabled by default.

Answer: A,C

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 ADW to 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.


NEW QUESTION # 73
You created an Autonomous Database without auto scaling. Which two ways can you enable auto scaling? (Choose two.)

  • A. Use a REST call to enable Auto Scaling.
  • B. Use a REST call to shut down the instance, then a second REST call to enable Auto Scaling, and a REST call to restart the instance.
  • C. Click Scale Up/Down and select the Auto Scaling checkbox.
  • D. Shut down the instance, click Scale Up/Down and select the Auto Scaling checkbox, then restart the instance.

Answer: A,C

Explanation:
Enabling auto scaling on an existing Autonomous Database can be done without unnecessary complexity:
Correct Answer (A): "Click Scale Up/Down and select the Auto Scaling checkbox" is the simplest GUI method. In the OCI Console, navigate to the database, select "Scale Up/Down," and enable the auto scaling option, allowing up to 3x the base OCPUs dynamically.
Correct Answer (C): "Use a REST call to enable Auto Scaling" leverages the OCI REST API to update the database configuration with the isAutoScalingEnabled parameter set to true. This is ideal for programmatic control.
Incorrect Options:
B: Shutting down the instance is unnecessary; auto scaling can be enabled while the database is running.
D: Multiple REST calls, including shutdown and restart, overcomplicate the process when a single API call suffices.
These methods ensure minimal disruption and efficient resource management.


NEW QUESTION # 74
Which two license types does the customer need to benefit from BYOL when leveraging on-premise Enterprise Database licenses in Oracle Autonomous Database?

  • A. Exadata
  • B. Multitenant
  • C. Real Application Clusters (RAC), but only when scaling beyond 16 OCPUs
  • D. Transparent Data Encryption (TDE)
  • E. Active Data Guard

Answer: B,C

Explanation:
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.


NEW QUESTION # 75
Your customer has upgraded their on-premises 11.2 Database to 12.2. During this migration, the database was migrated to a pluggable database (PDB) and is now in production. How should the customer unplug their database to migrate to an Autonomous Database?

  • A. PDBs cannot be migrated to an Autonomous Database using plug, unplug, or clone.
  • B. Unplug into a PDB archive, which can be uploaded to Object Storage.
  • C. Unplug into an XML file so that the database and XML files can be uploaded to Object Storage.
  • D. Create a database link from the source database to the Autonomous Database environment and clone the PDB.

Answer: A

Explanation:
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.
D: PDB archives (e.g., .pdb files) are not supported for direct import into Autonomous Database.
Instead, use tools like Data Pump or GoldenGate for migration.


NEW QUESTION # 76
Which statement is true when the Autonomous Database has auto scaling enabled?

  • A. Enables the database to use up to 3x CPU/IO resources immediately when needed by the workload
  • B. Database concurrency is scaled up when needed by the workload
  • C. Increases the number of sessions available to the database
  • D. Scales the PGA and SGA size when needed for the workload

Answer: A

Explanation:
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.


NEW QUESTION # 77
While provisioning a dedicated Autonomous Container Database, which backup retention period CANNOT be implemented?

  • A. 60 days
  • B. 15 days
  • C. 120 days
  • D. 7 days

Answer: C

Explanation:
Full Detailed In-Depth Explanation:
When provisioning an Autonomous Container Database (ACD) on dedicated infrastructure, Oracle provides specific options for backup retention periods to balance data recovery needs with storage costs. According to the official Oracle documentation, the available backup retention periods for a dedicated ACD are:
7 days: This is the default retention period for a newly provisioned ACD.
15 days: An option for extended retention beyond the default.
60 days: The maximum supported retention period for ACDs, offering the longest recovery window.
The option of 120 days is not supported as a backup retention period for an Autonomous Container Database. This limitation is due to the design of the Autonomous Database service, which caps retention at 60 days to optimize storage and performance on dedicated Exadata infrastructure. Attempting to set a retention period beyond 60 days is not an available choice during provisioning. Users must select a retention period that meets their recovery point objectives (RPO) within these constraints, noting that longer retention increases storage usage and associated costs.


NEW QUESTION # 78
Autonomous Database's auto scaling feature allows your database to use up to three times the current base number of OCPU cores at any time. As demand increases, auto scaling automatically increases the number of cores in use. Likewise, as demand drops, auto scaling automatically decreases the number of cores in use. Which statement is FALSE regarding the auto scaling feature?

  • A. For databases on dedicated Exadata infrastructure, the maximum number of cores available to a database depends on the total number of cores available in the Exadata infrastructure instance.
  • B. The base number of OCPU cores allocated to a database is not guaranteed.
  • C. Auto Scaling is enabled by default and can be enabled or disabled at any time.
  • D. For databases on dedicated Exadata infrastructure, the maximum number of cores is limited by the number of free cores that are not being used by other auto scaling databases to meet high-load demands.

Answer: B

Explanation:
Auto scaling in Autonomous Database dynamically adjusts OCPU usage up to three times the base allocation. Let's evaluate each statement:
Correct Answer (C): "The base number of OCPU cores allocated to a database is not guaranteed" is false. The base OCPU count, set during provisioning or manual scaling, is always guaranteed as the minimum available resource, even with auto scaling enabled. Auto scaling only increases usage above this baseline when needed.
True Statements:
A: On dedicated Exadata, the max cores for auto scaling are constrained by available free cores not used by other databases, ensuring resource fairness.
B: The total cores in the Exadata instance define the upper limit for any database's auto scaling capacity.
D: Auto scaling is not enabled by default (must be explicitly activated) and can be toggled on/off, though this statement's phrasing could be clearer-it's still true in context.
This guarantees predictable minimum performance while allowing flexibility for peak loads.


NEW QUESTION # 79
A corporation is building a web application to allow its customers to schedule service requests online. There is also a need to run operational reports at times during non-peak hours. The architecture team is debating whether such reports should be run on the OLTP database or in a separate data mart. The DBA Manager does not want to add any more admin responsibility to the team and is looking for a database option that's low to zero maintenance, but meets their strict performance requirements as well. Which Oracle Cloud Infrastructure database service is appropriate for this scenario?

  • A. Since the application needs to be highly available, it should be deployed on a Kubernetes Cluster
  • B. ADW since operational reporting is a higher priority in this scenario
  • C. It is best to build a separate data warehouse, and move the OLTP data on a nightly basis
  • D. ATP using 'tpurgent' and 'high' TNS services to separate connection types

Answer: D

Explanation:
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.


NEW QUESTION # 80
When you are increasing the number of OCPUs in your Autonomous Database, what does its status show?

  • A. UPSCALE IN PROGRESS
  • B. UPLIFT IN PROGRESS
  • C. RESIZING IN PROGRESS
  • D. SCALING IN PROGRESS

Answer: D

Explanation:
Scaling OCPUs in an Autonomous Database triggers a specific status update. The correct answer is:
SCALING IN PROGRESS (D): When you increase (or decrease) the number of OCPUs, the database status in the OCI console changes to "SCALING IN PROGRESS." This indicates that the system is actively adjusting the compute resources, a process that typically completes in a few minutes with no downtime for active transactions.
The incorrect options are:
UPSCALE IN PROGRESS (A): "Upscale" is not an official status term used by Oracle for this operation.
RESIZING IN PROGRESS (B): While "resizing" might intuitively fit, Oracle specifically uses "SCALING IN PROGRESS" for CPU adjustments.
UPLIFT IN PROGRESS (C): "Uplift" is not a recognized status in the context of Autonomous Database scaling.
This status reflects Oracle's terminology for dynamic scaling.


NEW QUESTION # 81
Which three of the following data sources are available when using the Data Load page on Database Actions?

  • A. Local Files
  • B. Files in Oracle Cloud Storage
  • C. REST endpoints
  • D. Backup files in block storage
  • E. Files in AWS S3 Storage

Answer: A,B,E

Explanation:
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.


NEW QUESTION # 82
What two actions can you do when a refreshable clone passes the refresh time limit? (Choose two.)

  • A. You can use the instance as a read-only database
  • B. You can extend the refresh time limit
  • C. You can disconnect from the source to make the database a read/write database
  • D. You can manually refresh the clone

Answer: A,C

Explanation:
A refreshable clone in Autonomous Database is a read-only copy of a source database that syncs periodically, but it has a refresh time limit (typically 7 days). Once this limit is exceeded, specific actions are available. The two correct options are:
You can disconnect from the source to make the database a read/write database (B): After the refresh time limit passes, the clone can no longer sync with the source. You can "disconnect" it (via the OCI console or API, e.g., oci db autonomous-database update --is-refreshable-clone false), converting it into an independent, read/write Autonomous Database. This requires a new license and incurs full costs, but it allows modifications (e.g., INSERT or UPDATE) that were blocked in read-only mode. For example, a test clone might be disconnected to become a production instance after testing.
You can use the instance as a read-only database (C): Even after the refresh limit, the clone remains functional as a read-only database, retaining its last refreshed state. You can query it (e.g., SELECT * FROM sales) for analysis or reporting without further refreshes, though it won't reflect source updates. This is useful if ongoing read-only access suffices without needing write capabilities.
The incorrect options are:
You can manually refresh the clone (A): False. Once the refresh time limit (e.g., 7 days) is exceeded, manual refreshes are not possible. The clone's refresh capability expires, and it can't sync again unless recreated. This is a fixed constraint to manage resource usage in ADB.
You can extend the refresh time limit (D): False. The refresh period (set during clone creation, max 7 days) cannot be extended after provisioning. You'd need to create a new clone with a longer limit if needed, but post-expiry, no extension is allowed.
These options provide flexibility post-expiry, balancing read-only continuity and full database conversion.


NEW QUESTION # 83
Which Autonomous Database Service is NOT used to connect to an Autonomous Transaction Processing instance?

  • A. LOW
  • B. HIGH
  • C. TPPERFORMANT
  • D. TPURGENT
  • E. MEDIUM

Answer: C

Explanation:
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.
TPPERFORMANT is not a recognized service name in ATP documentation, making A the correct answer.


NEW QUESTION # 84
How do you change the tablespace quota for user MTHEO on an Autonomous Database on Shared Infrastructure?

  • A. Execute ALTER TABLESPACE DATA SET QUOTA = 10G;
  • B. Execute DBMS_CLOUD_ADMIN.GRANT_TABLESPACE_QUOTA(username => 'MTHEO', tablespace_quota => 'UNLIMITED');
  • C. Execute ALTER USER MTHEO QUOTA UNLIMITED ON TABLESPACE DATA;
  • D. Execute ALTER DATABASE FOR USER MTHEO TABLESPACE DATA QUOTA = 10G;

Answer: C

Explanation:
Full Detailed In-Depth Explanation:
In Autonomous Database on Shared Infrastructure, tablespace quotas are managed using standard SQL commands, as administrative packages like DBMS_CLOUD_ADMIN are restricted in this environment. The correct method is:
ALTER USER MTHEO QUOTA UNLIMITED ON TABLESPACE DATA: This command directly modifies the user's quota on the DATA tablespace, which is the default tablespace in Autonomous Database. "UNLIMITED" removes any storage restrictions.
Analysis of options:
A: Incorrect. DBMS_CLOUD_ADMIN is used in dedicated infrastructure for advanced administrative tasks, not shared infrastructure for quota changes.
B: Correct. This is the standard SQL syntax supported in shared infrastructure.
C: Incorrect. ALTER TABLESPACE modifies tablespace properties, not user quotas, and isn't applicable here.
D: Incorrect. ALTER DATABASE syntax is invalid for user quotas; it's for database-wide settings.


NEW QUESTION # 85
What is the default time range in Performance Hub?

  • A. 1 Hour
  • B. 24 Hours
  • C. 1 Week
  • D. 15 Minutes

Answer: B

Explanation:
Performance Hub in Autonomous Database provides performance monitoring insights. The correct answer is:
24 Hours (C): When you open Performance Hub in the OCI console or Database Actions, the default time range displayed is the last 24 hours, shown in Coordinated Universal Time (UTC). This allows users to review recent performance metrics like CPU usage, SQL activity, and wait times. Users can adjust this range (e.g., to 1 hour or 1 week) as needed.
The incorrect options are:
15 Minutes (A): This is not a default option; it's too short for a broad performance overview.
1 Hour (B): Available as an option, but not the default setting.
1 Week (D): Also available, but not the default; it's a longer-term view users can select manually.
The 24-hour default balances recency and context for performance analysis.


NEW QUESTION # 86
Which statement is true about connecting a marketplace Oracle Cloud Infrastructure (OCI) image to an Autonomous Database on Shared Infrastructure?

  • A. The marketplace OCI image can be used with an Always Free Autonomous Database account.
  • B. The Autonomous Database must belong to a Network Security Group (NSG).
  • C. The marketplace OCI image does not support connecting to an Autonomous Database on Shared Infrastructure.
  • D. A Private Endpoint is required to connect to the Autonomous Database on Shared Exadata infrastructure.

Answer: A

Explanation:
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 Autonomous Database 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.


NEW QUESTION # 87
Oracle Autonomous Database on Dedicated Infrastructure is composed of which Oracle Cloud resources?

  • A. Autonomous Exadata Infrastructure, Autonomous Backup, Autonomous Container Database, Autonomous Database
  • B. Oracle Machine Learning Zeppelin Notebook, Autonomous Exadata Infrastructure, Fleet Administrator, Database Administrator
  • C. Virtual Cloud Network, Compartments, Policies, Autonomous Exadata Infrastructure
  • D. Fleet Administrator, Database Administrator, Database User, Autonomous Exadata Infrastructure

Answer: A

Explanation:
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.


NEW QUESTION # 88
Which two methods can you use to create database users and grant roles in Autonomous Database services?

  • A. SQL Developer
  • B. DBMS_CLOUDADMIN package
  • C. SQL*Plus
  • D. Oracle Cloud Infrastructure (OCI) service console

Answer: A,C

Explanation:
Full Detailed In-Depth Explanation:
User and role management in Autonomous Database:
A: False. OCI console manages infrastructure, not database users.
B: True. SQL Developer provides a GUI for user/role administration.
C: False. DBMS_CLOUDADMIN is for cloud-specific tasks, not user creation.
D: True. SQL*Plus allows direct SQL commands for user/role management.


NEW QUESTION # 89
Which statement is correct with respect to the required action to move Oracle Autonomous Database resources to a different compartment?

  • A. Moving an Autonomous Database instance does not include its automatic backups.
  • B. You do not require sufficient access permissions on the compartment that the resource is being moved to.
  • C. Moving the compartment of the Autonomous Database also moves the Autonomous Container Database and Autonomous Exadata Infrastructure.
  • D. 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.

Answer: D

Explanation:
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.
D: Moving an Autonomous Database doesn't automatically move its container or infrastructure in dedicated setups.
This reflects OCI's compartmental resource management.


NEW QUESTION # 90
Which index type is designed to index catalog information?

  • A. CTXRULE
  • B. CTXCAT
  • C. CONTEXT
  • D. CONSTRAINS

Answer: B

Explanation:
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.


NEW QUESTION # 91
Where can a user's public SSH key be added on the Oracle Cloud Infrastructure Console in order to execute API calls?

  • A. SSH keys cannot be added from console. They have to be added using REST APIs only
  • B. Navigate to Identity, select Users panel on the console and select "Add Public Key"
  • C. SSH keys are not required in Oracle Cloud Infrastructure
  • D. On the Autonomous Database Console

Answer: B

Explanation:
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.


NEW QUESTION # 92
Which Oracle package is used to load data to an Autonomous Database from object storage?

  • A. DBMS_RPC
  • B. DBMS_LOAD
  • C. DBMS_CLOUD
  • D. DBMS_MIGRATE

Answer: C

Explanation:
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.


NEW QUESTION # 93
Which three are use cases for Graph Studio? (Choose three.)

  • A. Facial recognition
  • B. Churn analysis
  • C. 3-D modelling
  • D. Clustering
  • E. Pattern matching

Answer: B,D,E

Explanation:
Graph Studio in Autonomous Database supports graph-based analysis:
Correct Answer (C): Pattern matching identifies relationships (e.g., fraud rings) using graph queries like PGQL.
Correct Answer (D): Clustering groups related nodes (e.g., communities) using graph algorithms.
Correct Answer (B): Churn analysis leverages graph relationships to predict customer loss (e.g., via influence networks), though less emphasized than C and D, it's a valid use case.
Incorrect Options:
A: Facial recognition is image-based, not graph-based.
E: 3-D modelling is a misinterpretation; it's not a primary graph use case.
These align with Graph Studio's strengths in relationship analysis.


NEW QUESTION # 94
......


Oracle 1Z0-931-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Lake Analytics with Autonomous Database: This section of the exam measures the skills of Big Data Engineers and explores how Autonomous Database can be used for analytics in data lake environments. It includes data ingestion, query optimization, and leveraging cloud-native analytics services, ensuring engineers can efficiently process and analyze large volumes of structured and unstructured data.
Topic 2
  • Getting Started with Autonomous Database: This section of the exam measures the skills of Database Administrators and covers the architecture and key features of Oracle Autonomous Database. It explains how the database integrates within the Oracle ecosystem and provides an overview of different Autonomous Database offerings and their licensing models, helping administrators understand how to deploy and manage these cloud-based databases efficiently.
Topic 3
  • Developing on Autonomous Database: This section of the exam measures the skills of Application Developers and focuses on developing and extending applications using Autonomous Database. It covers using generative AI for natural language queries, Autonomous JSON Database, Oracle Text for document search, location-based analysis with Autonomous Spatial, Autonomous Graph for data relationships, and integration with Object Storage, enabling developers to build intelligent, scalable applications.
Topic 4
  • Autonomous Database Tools: This section of the exam measures the skills of Data Analysts and covers the tools available within Autonomous Databases for advanced data processing and analytics. It includes Oracle Machine Learning, APEX, and SQL Developer Web for database development, as well as data transformation, business model creation, data insights, and data analysis, allowing analysts to extract valuable insights from large datasets.
Topic 5
  • Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.

 

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