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| Section | Weight | Objectives |
|---|---|---|
| Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on dedicated infrastructure - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
| Database Management and Operations | 25% | - Implement backup, recovery and high availability strategies - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources - Configure auto-scaling and storage management |
| AI Features and Capabilities | 30% | - Apply AI-assisted performance tuning and optimization - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation - Use Oracle Machine Learning within Autonomous Database |
| Security, Integration and Data Management | 20% | - Load, migrate and integrate data from various sources - Configure identity and access management - Use Autonomous Database tools for development and administration - Implement data encryption and security controls |
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NEW QUESTION # 119
Which three security features are available in Oracle Autonomous Database Shared Infrastructure? (Choose three.)
Answer: A,C,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 # 120
Which three options are supported when migrating to Autonomous Database (ADB)? (Choose three.)
Answer: A,C,F
Explanation:
Migrating to Autonomous Database supports multiple methods. The three correct options are:
GoldenGate on-premise installation (A): Oracle GoldenGate (on-prem) replicates data from source databases (e.g., Oracle, MySQL) to ADB, supporting real-time or batch migration. You install GoldenGate on-prem, configure extract/replicat processes (e.g., extracting from an Oracle 19c source), and target an ADB instance using credentials and wallet. For example, it might sync an on-prem ORDERS table to ADB with near-zero latency, ideal for live migrations.
GoldenGate Cloud Service (D): GoldenGate Cloud Service, a managed OCI offering, performs the same replication but runs in the cloud. You provision it via OCI Marketplace, configure it to pull from a source (e.g., on-prem or another cloud), and push to ADB. For instance, it could replicate a SaaS database to ADB for analytics, minimizing on-prem overhead. Both GoldenGate options support initial loads and continuous sync.
Data Pump export/import (E): Data Pump exports data/schemas from a source (e.g., expdp hr/hr schemas=HR directory=DATA_PUMP_DIR) to a dump file, which you upload to OCI Object Storage. Then, import into ADB using DBMS_CLOUD.COPY_DATA (e.g., targeting a HR schema). It’s great for one-time migrations, like moving a 12c database to ADB, with flexibility to exclude objects (e.g., indexes).
The incorrect options are:
RMAN Cross-Platform backup and restore (B): RMAN restores physical backups, but ADB’s managed nature prevents direct RMAN restores—users can’t access the file system. RMAN is used for ADB backups internally by Oracle, not customer migrations.
Data Guard Physical Standby (C): Data Guard creates physical standbys for HA, not migration to ADB. ADB uses Autonomous Data Guard internally, but it’s not a migration tool from external sources.
PDB unplug/plug operation (F): Unplugging/plugging PDBs requires file-level access, unsupported in ADB due to its managed storage. You’d use Data Pump instead for PDB data.
These methods offer robust, flexible migration paths to ADB.
NEW QUESTION # 121
Which two optimizations are different between Autonomous Data Warehouse and Autonomous Transaction Processing? (Choose two.)
Answer: B,D
Explanation:
Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are optimized for different workloads, reflected in their configurations. The two differing optimizations are:
Memory Usage (A): ADW and ATP allocate memory differently to suit their purposes. ADW prioritizes a larger data cache (part of the SGA) to keep more data in memory, boosting analytical query performance (e.g., aggregations over millions of rows). For example, a SELECT SUM(sales) GROUP BY region runs faster with more cached data. ATP, conversely, balances memory across the SGA and PGA for transactional workloads, emphasizing concurrency and quick row-level operations (e.g., UPDATE orders SET status = 'shipped'). This difference ensures ADW excels at scan-heavy analytics, while ATP handles high-throughput updates.
Data Organization (B): ADW uses a columnar storage format (e.g., Hybrid Columnar Compression) optimized for analytics, storing data by column to speed up aggregations and reduce I/O (e.g., scanning only the sales column for a SUM). ATP uses a row-based format suited for OLTP, enabling fast single-row access and updates (e.g., retrieving or modifying a specific order_id). For instance, inserting a row in ATP is efficient due to row storage, while ADW’s columnar format accelerates SELECT AVG(price) FROM products.
The incorrect options are:
Backup Retention (C): Both ADW and ATP use the same automatic backup system (via Oracle’s Automatic Workload Repository), with a default 60-day retention adjustable by users. There’s no optimization difference here; it’s a shared managed feature.
Undo Management (D): Both databases use Oracle’s Flashback technology for undo (e.g., rolling back transactions or querying past states), with retention periods set similarly. Undo is managed automatically in both, not optimized differently.
These optimizations tailor ADW for analytics and ATP for transactions, despite their shared autonomous foundation.
NEW QUESTION # 122
Which native data type is used to store spatial information?
Answer: A
Explanation:
Oracle Database supports spatial data with a dedicated data type:
Correct Answer (A): SDO_GEOMETRY is the native data type for storing spatial information, such as points, lines, and polygons, in a structured format compatible with spatial queries and operations.
Incorrect Options:
B: SDO_LOCATION is not a valid data type; it may be a confusion with SDO_GEOMETRY.
C: SDO_RELATE is a spatial operator for relationship analysis, not a storage type.
D: GEO_JSON is a format for spatial data, not a native Oracle data type (though it can be parsed into SDO_GEOMETRY).
This type enables advanced geospatial functionality.
NEW QUESTION # 123
Which option describes the connection types that third-party software can use to connect to an Autonomous Database (ADB)?
Answer: D
Explanation:
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 leverages Oracle 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.
NEW QUESTION # 124
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