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| Section | Weight | Objectives |
|---|---|---|
| Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Implementing Autonomous Database Fundamentals | - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities - Describe Autonomous Database architecture and key features | |
| Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Designing Unified Data Management and AI Analytics Solutions | - Use data sharing and integration features - Apply analytics and AI-driven data solutions - Implement JSON, graph, spatial, and text data capabilities | |
| Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Monitor database performance and resource usage - Manage backup, recovery, and availability features - Optimize workloads and database performance |
| Applying Autonomous Database Serverless Architectures | - Configure Autonomous Database Serverless environments - Implement connectivity and access methods - Manage compute resources and auto scaling | |
| Implementing Model Context Protocol (MCP) Server Integration | - Integrate AI applications with Autonomous Database services - Understand MCP Server integration concepts | |
| Implementing Autonomous Database Dedicated Deployments | 20% | - Configure Autonomous Database Dedicated Infrastructure - Manage dedicated deployment resources - Apply security and isolation features |
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NEW QUESTION # 141
Which three security features are available in Oracle Autonomous Database Shared Infrastructure? (Choose three.)
Answer: A,D,E
Explanation:
Oracle Autonomous Database Shared Infrastructure offers built-in security features to protect data and ensure compliance. The three correct features are:
Customer Managed Keys (A): This feature allows customers to use their own encryption keys for Transparent Data Encryption (TDE), stored in Oracle Key Vault or OCI Vault. It gives control over key management, enhancing security by ensuring only the customer can decrypt data. For example, a company might generate a key in OCI Vault, link it to their ADB, and rotate it periodically, all managed outside Oracle’s default keys.
Database Vault (D): Oracle Database Vault enforces fine-grained access controls, preventing unauthorized access to sensitive data even by privileged users (e.g., DBAs). In ADB shared infrastructure, it’s available to restrict operations like SELECT on specific schemas, adding a layer of protection against internal threats. For instance, it could block an admin from viewing customer PII unless explicitly permitted.
Transparent Data Encryption (E): TDE is enabled by default in Autonomous Database, encrypting data at rest (e.g., in tablespaces, backups, and logs) using AES-256. This ensures that if physical storage is compromised, the data remains unreadable without the encryption key. Customers can opt for customer-managed keys (A) or use Oracle-managed keys, but TDE itself is always active.
The incorrect options are:
Audit Vault (B): Oracle Audit Vault is a separate product for centralized audit log management, not a built-in feature of ADB shared infrastructure. While ADB performs auditing, it doesn’t include Audit Vault’s advanced capabilities natively.
Data Redaction (C): Data Redaction (masking sensitive data in query results) is available in on-premises Oracle Database Enterprise Edition but is not supported in Autonomous Database shared infrastructure. ADB’s managed nature limits such custom configurations, relying instead on TDE and Database Vault for security.
These features collectively ensure robust security with minimal customer effort in a shared environment.
NEW QUESTION # 142
Which three of the following data sources are available when using the Data Load page on Database Actions?
Answer: B,C,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 # 143
Which statement is FALSE about loading data into the Autonomous Database using the Data Load card in Database Actions?
Answer: D
Explanation:
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.
NEW QUESTION # 144
You want to enable automatic indexing in a database, but any new auto indexes should be created as invisible indexes, so that they cannot be used in SQL statements. Which command will you use?
Answer: A
Explanation:
Oracle’s automatic indexing feature, available in Autonomous Database, optimizes query performance by creating and managing indexes. The requirement here is to enable it but ensure new indexes are invisible (not used by the optimizer unless explicitly made visible). The correct command is:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY') (C): The REPORT ONLY mode enables automatic indexing, where the database identifies and creates candidate indexes based on workload analysis. However, these indexes are created as invisible by default, meaning the optimizer does not use them in SQL execution plans unless a DBA manually makes them visible (e.g., via ALTER INDEX ... VISIBLE). This mode is ideal for testing or validation without impacting production queries. For example, if a query frequently filters on a column, an invisible index might be created, but it won’t affect performance until explicitly activated.
The incorrect options are:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT') (A): The IMPLEMENT mode fully enables automatic indexing, creating and maintaining visible indexes that the optimizer uses immediately. This contradicts the requirement for invisible indexes.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF') (B): The OFF mode disables automatic indexing entirely, so no indexes (visible or invisible) are created, failing the requirement to enable it.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE') (D): There is no INVISIBLE mode in DBMS_AUTO_INDEX.CONFIGURE. While indexes can be set as invisible individually, this is not a valid configuration option for the auto-indexing feature.
The REPORT ONLY mode provides a controlled approach, allowing index creation for analysis without immediate deployment. This is particularly useful in Autonomous Database, where automation is balanced with DBA oversight.
NEW QUESTION # 145
You have been tasked with analyzing a year’s worth of sales data stored in an Autonomous Data Warehouse instance. Which tool would you use to automate data exploration and create pivot tables?
Answer: C
Explanation:
Full Detailed In-Depth Explanation:
A: False. APEX is for app development, not data exploration.
B: False. SQL Developer Web is for SQL queries, not pivot tables.
C: True. Business Models in ADW automates data exploration and generates pivot tables.
D: False. Data Load is for importing data, not analysis.
NEW QUESTION # 146
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