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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Database Management and Operations | 25% | - Configure auto-scaling and storage management - Monitor and manage database performance and resources - Perform patching, upgrades and lifecycle management - Implement backup, recovery and high availability strategies |
| Topic 3: Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on dedicated infrastructure - Describe Autonomous Database architecture and core components - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on shared infrastructure |
| Topic 4: 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 # 112
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: B
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 # 113
Which two objects are imported when using Data Pump to migrate your Oracle database to Autonomous Database? (Choose two.)
Answer: B,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 # 114
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 # 115
During the provisioning of an Autonomous Database on dedicated hardware, what should the database administrator select to determine where the Autonomous Database is created on the dedicated infrastructure?
Answer: C
Explanation:
Full Detailed In-Depth Explanation:
When provisioning an Autonomous Database (ADB) on dedicated infrastructure, the placement within the infrastructure is critical:
A . Listener endpoint: Incorrect. This is for connectivity, not placement.
B . Client Credentials wallet: Incorrect. This is for secure connections, not determining location.
C . The container database in which the Autonomous instance should run: Correct. On dedicated infrastructure, an Autonomous Container Database (ACD) hosts multiple ADB instances. Selecting the ACD during provisioning determines where the ADB resides, affecting resource allocation and isolation.
D . The compartment: Incorrect. Compartments organize resources in OCI, but multiple ACDs can exist within a compartment, so this doesn’t pinpoint the exact location.
Choosing the ACD is a key provisioning step for dedicated deployments.
NEW QUESTION # 116
When you are increasing the number of OCPUs in your Autonomous Database, what does its status show?
Answer: C
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 # 117
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