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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Database Management and Operations | 25% | - Monitor and manage database performance and resources - Configure auto-scaling and storage management - Perform patching, upgrades and lifecycle management - Implement backup, recovery and high availability strategies |
| Topic 2: Security, Integration and Data Management | 20% | - Implement data encryption and security controls - Use Autonomous Database tools for development and administration - Configure identity and access management - Load, migrate and integrate data from various sources |
| Topic 3: Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure - Provision and configure Autonomous Database on dedicated infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
| Topic 4: AI Features and Capabilities | 30% | - Implement Select AI for natural language to SQL generation - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization - Configure and use AI Vector Search |
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NEW QUESTION # 40
Which two actions can be performed when an Autonomous Database is stopped? (Choose two.)
Answer: C,D
Explanation:
When an Autonomous Database is stopped, limited actions are available:
Correct Answer (B): Start is possible to bring the database back online via the OCI Console or API.
Correct Answer (C): Update License type (e.g., from License Included to Bring Your Own License) can be performed while stopped, as it’s a configuration change not requiring database activity.
Incorrect Options:
A: Changing the admin password requires the database to be running for security validation.
D: Updating network access (e.g., ACLs) requires an active instance to apply changes.
These options reflect the stopped state’s constraints.
NEW QUESTION # 41
You are the admin user of an Autonomous Database instance. A new business analyst has joined the team and would like to explore the Autonomous Database tables using Autonomous Database’s Data Tools. Which step should you perform to enable the new team member?
Answer: A
Explanation:
Full Detailed In-Depth Explanation:
To enable a business analyst to use Autonomous Database Data Tools (e.g., Data Load, SQL Developer Web), specific permissions are required:
REST-enabled user: Data Tools rely on REST APIs, necessitating a user with REST support enabled.
Connect and object privileges: These allow database access and interaction with tables.
DWROLE role: This predefined role grants a comprehensive set of privileges for data analysis tasks in Autonomous Data Warehouse (ADW), including SELECT, EXECUTE, and data loading capabilities.
Evaluating the options:
A: Correct. Creating a REST-enabled user with connect/object privileges and granting DWROLE ensures full access to Data Tools, tailored for ADW exploration.
B: Incorrect. Default privileges are minimal and insufficient for Data Tools usage.
C: Incorrect. While connect, resource, and object privileges provide basic access, they lack the REST enablement and DWROLE’s specific analysis permissions.
D: Incorrect. An IDCS (Identity Cloud Service) user is for OCI authentication, not database-level access, and this step overcomplicates the process.
NEW QUESTION # 42
Which statement is FALSE about Oracle Autonomous JSON Database?
Answer: C
Explanation:
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.
NEW QUESTION # 43
Which Autonomous Database Service is NOT used to connect to an Autonomous Transaction Processing instance?
Answer: B
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 # 44
Which workload type does the Autonomous Database on dedicated infrastructure service currently support?
Answer: B
Explanation:
Autonomous Database on dedicated infrastructure supports multiple workload types. The correct answer is:
ATP and ADW (C): Autonomous Database on dedicated infrastructure supports both Autonomous Transaction Processing (ATP) for OLTP workloads (high concurrency, low latency) and Autonomous Data Warehouse (ADW) for analytical workloads (high throughput, complex queries). This dual support allows flexibility within a single dedicated Exadata infrastructure.
The incorrect options are:
Autonomous Transaction Processing only (A): Incorrect, as ADW is also supported.
Hybrid Columnar Compression (B): HCC is a data compression feature, not a workload type; it’s used within ADW but doesn’t define the workload.
Autonomous Data Warehouse only (D): Incorrect, as ATP is also supported.
This versatility is a key feature of dedicated deployments.
NEW QUESTION # 45
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