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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q140-Q145):

NEW QUESTION # 140
Which Database Actions tool is used to get information about the entities in your Oracle Autonomous Database and to also see how changing an object affects other objects?

A. Data Load
B. Catalog
C. Data Insight
D. JSON

Answer: B

Explanation:
Database Actions (formerly SQL Developer Web) offers tools for database management:
Correct Answer (A): The Catalog tool provides a detailed view of database entities (tables, views, schemas) and their metadata, including dependencies via the "Impact" tab. It helps assess how changes (e.g., dropping a table) affect related objects.
Incorrect Options:
B: Data Load is for importing data, not analyzing entities or dependencies.
C: JSON is a data format, not a tool; it's supported but irrelevant here.
D: Data Insight is a separate analytics service, not part of Database Actions.
Catalog is essential for metadata exploration and impact analysis.

NEW QUESTION # 141
Which two objects are imported when using Data Pump to migrate your Oracle database to Autonomous Database? (Choose two.)

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

Answer: A,B

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 # 142
What REST verb is used to create an Autonomous Database service using REST APIs?

A. A "POST" REST call
B. An "INSERT" REST call
C. A "PUT" REST call
D. A "GET" REST call

Answer: A

Explanation:
Full Detailed In-Depth Explanation:
REST APIs use HTTP verbs:
A: True. POST creates new resources, such as an Autonomous Database instance.
B: False. GET retrieves data, not creates.
C: False. PUT updates existing resources.
D: False. INSERT is not a REST verb; it's SQL-specific.

NEW QUESTION # 143
Which workload is particularly suited to Oracle Autonomous JSON Database?

A. Data Lakes
B. Schema-less, document-centric
C. Data Marts
D. Transactions

Answer: B

Explanation:
Oracle Autonomous JSON Database is a specialized variant of Autonomous Database. The correct workload is:
Schema-less, document-centric (D): Autonomous JSON Database is designed for applications needing flexible, schema-less data storage and retrieval, particularly JSON documents. It's a NoSQL-style database optimized for document-centric workloads, such as web or mobile apps storing user profiles, IoT data, or content management systems. For example, a social media app might store user posts as JSON documents { "user": "John", "post": "Hello world" }, allowing dynamic field additions without schema changes. It supports SQL/JSON queries (e.g., SELECT JSON_VALUE(doc, '$.user')), blending relational and NoSQL benefits, and auto-manages indexing for performance.
The incorrect options are:
Data Marts (A): Data marts are structured, analytical stores for aggregated data, better suited to Autonomous Data Warehouse (ADW), which excels at columnar storage and complex queries, not JSON's flexible format.
Transactions (B): Traditional OLTP transactions (e.g., banking records) are the domain of Autonomous Transaction Processing (ATP), which uses rigid schemas for consistency, unlike JSON Database's schema-less approach.
Data Lakes (C): Data lakes store raw, mixed-format data (e.g., JSON, CSV, Parquet) for later processing, typically in object storage, not a managed database like Autonomous JSON. While JSON Database handles JSON, it's not a data lake replacement.
This workload leverages JSON Database's agility for modern, unstructured data applications.

NEW QUESTION # 144
Which three functions are provided by Spatial Studio? (Choose three.)

A. Spatial data editing
B. Geocoding
C. Spatial analysis
D. Map visualization
E. Custom SQL queries

Answer: A,C,D

Explanation:
Oracle Spatial Studio is a self-service tool for working with spatial data in Autonomous Database. The three correct functions are:
Map visualization (A): Spatial Studio provides robust capabilities to visualize spatial data on interactive maps, enabling users to explore geographic patterns and relationships visually.
Spatial analysis (C): It offers tools for performing spatial operations like proximity analysis, spatial joins, and buffering, which are essential for deriving insights from geographic data.
Spatial data editing (E): Users can edit spatial data, such as modifying geometries or updating attributes, directly within Spatial Studio, making it a powerful tool for data management.
The incorrect options are:
Custom SQL queries (B): While Spatial Studio supports spatial operations, it is primarily a graphical tool and does not focus on executing custom SQL queries. Such functionality is more aligned with tools like SQL Developer.
Geocoding (D): Geocoding (converting addresses to coordinates) is not a core feature of Spatial Studio. It focuses on visualization, analysis, and editing rather than address-to-coordinate conversion, which is typically handled by separate Oracle services or tools.
These functions align with Spatial Studio's purpose of simplifying spatial data management and analysis.

NEW QUESTION # 145
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