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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic Details
Topic 1
  • Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.
Topic 2
  • Migrating to Autonomous Database: This section of the exam measures the skills of Cloud Migration Specialists and covers strategies for migrating existing databases to Autonomous Database. It includes understanding migration considerations, and available options, and using Oracle Data Pump to transfer data seamlessly while minimizing downtime, ensuring smooth transitions to Oracle Cloud infrastructure.
Topic 3
  • Getting Started with Autonomous Database: This section of the exam measures the skills of Database Administrators and covers the architecture and key features of Oracle Autonomous Database. It explains how the database integrates within the Oracle ecosystem and provides an overview of different Autonomous Database offerings and their licensing models, helping administrators understand how to deploy and manage these cloud-based databases efficiently.
Topic 4
  • Data Lake Analytics with Autonomous Database: This section of the exam measures the skills of Big Data Engineers and explores how Autonomous Database can be used for analytics in data lake environments. It includes data ingestion, query optimization, and leveraging cloud-native analytics services, ensuring engineers can efficiently process and analyze large volumes of structured and unstructured data.

 

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q145-Q150):

NEW QUESTION # 145
Which command can you use to create an Autonomous Database?

  • A. POST /20160918/createADB
  • B. POST /20160918/createautonomousDatabases
  • C. POST /20160918/createDatabases
  • D. POST /20160918/autonomousDatabases

Answer: D

Explanation:
Creating an Autonomous Database (ADB) via OCI's REST API involves a specific endpoint. The correct command is:
POST /20160918/autonomousDatabases (D): This is the official REST API endpoint to create an ADB instance. The POST request to /20160918/autonomousDatabases (versioned at API 20160918) submits a JSON payload defining the database (e.g., compartment, name, workload type). Example:
curl -X POST "https://database.us-ashburn-1.oraclecloud.com/20160918/autonomousDatabases"
-H "Authorization: Bearer <token>"
-H "Content-Type: application/json"
-d '{
"compartmentId": "ocid1.compartment.oc1..example",
"dbName": "MYADB",
"cpuCoreCount": 1,
"dataStorageSizeInTBs": 1,
"dbWorkload": "OLTP",
"adminPassword": "Secure#123"
}'
This creates an ATP instance named MYADB with 1 OCPU and 1 TB storage. The response includes an OCID (e.g., ocid1.autonomousdatabase.oc1..example), and provisioning starts asynchronously, visible in the OCI console as "PROVISIONING." The endpoint's plural form (autonomousDatabases) reflects the resource collection, consistent with OCI API conventions.
The incorrect options are:
POST /20160918/createADB (A): No such endpoint exists. OCI APIs use resource-based paths (e.g., /autonomousDatabases), not action-specific ones like createADB.
POST /20160918/createautonomousDatabases (B): Incorrect syntax-APIs don't prepend "create" to resource paths, and "autonomousDatabases" is lowercase here, matching the real endpoint.
POST /20160918/createDatabases (C): Too generic; it doesn't specify "autonomous" databases, and no such endpoint exists for ADB creation.
This REST command is a programmatic alternative to console-based provisioning, ideal for automation.

 

NEW QUESTION # 146
What are three characteristics of Data Lake data captured in Object Storage? (Choose three.)

  • A. Schema on read
  • B. High concurrency
  • C. Mixed data types
  • D. Multiple subject areas
  • E. High transaction performance

Answer: A,C,D

Explanation:
Data Lakes in OCI Object Storage store raw data for analysis. The three correct characteristics are:
Schema on read (C): Data Lakes store data in its raw, native format (e.g., JSON, CSV, Parquet) without a predefined schema. The schema is applied when data is read or processed, not when written, offering flexibility. For example, a Parquet file with sales data might be queried with SQL only when analyzed, not structured upfront like in a database.
Multiple subject areas (D): Data Lakes aggregate data from diverse sources-sales, HR, IoT-spanning multiple subject areas. This enables cross-domain analysis, like combining customer data with weather data for insights, all stored in a single OCI bucket.
Mixed data types (E): Data Lakes support varied formats: structured (e.g., CSV tables), semi-structured (e.g., JSON documents), and unstructured (e.g., videos). For instance, a bucket might hold CSV logs, JSON events, and image files, all accessible for processing.
The incorrect options are:
High concurrency (A): Data Lakes in Object Storage are not designed for high-concurrency transactional access (e.g., thousands of simultaneous updates). They're optimized for batch processing or analytics, unlike ATP's concurrency focus.
High transaction performance (B): Transactional performance (e.g., fast commits) is a database strength, not a Data Lake's. Object Storage prioritizes scalability and durability over transactional speed, making it unsuitable for OLTP workloads.
These traits make Data Lakes ideal for big data analytics, not real-time transactions.

 

NEW QUESTION # 147
Which statement is false about Autonomous Database Oracle Client Credentials (Wallets)?

  • A. The Wallet for the Autonomous Database is the same as the TDE wallet
  • B. In addition to the Oracle Client Credential Wallet, a user must have a username and password in order to connect to the Autonomous Database
  • C. The Oracle Client Credential file is downloaded as a ZIP file
  • D. You must have an Oracle Client Credential wallet in order to connect to the Autonomous Database

Answer: A

Explanation:
Oracle Client Credentials (wallets) are essential for secure connections to the Autonomous Database. The false statement is:
The Wallet for the Autonomous Database is the same as the TDE wallet (A): This is incorrect. The Oracle Client Credential wallet (used for client authentication and connection security) is distinct from the Transparent Data Encryption (TDE) wallet (used to encrypt data at rest within the database). The client wallet contains certificates and keys for mutual TLS (mTLS) authentication, while the TDE wallet manages encryption keys for data security. They serve different purposes and are not the same.
The correct statements are:
You must have an Oracle Client Credential wallet in order to connect to the Autonomous Database (B): True. The wallet is required for mTLS, which is the default authentication method for Autonomous Databases, ensuring secure connections.
In addition to the Oracle Client Credential Wallet, a user must have a username and password in order to connect to the Autonomous Database (C): True. Alongside the wallet, a database username and password are needed for full authentication (mTLS + user credentials).
The Oracle Client Credential file is downloaded as a ZIP file (D): True. When downloaded from the Oracle Cloud Infrastructure (OCI) console, the wallet is provided as a ZIP file containing configuration files like tnsnames.ora and certificates.
This distinction is critical for understanding security mechanisms in Autonomous Database.

 

NEW QUESTION # 148
Which native data type is used to store spatial information?

  • A. SDO_GEOMETRY
  • B. SDO_LOCATION
  • C. GEO_JSON
  • D. SDO_RELATE

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 # 149
Which three methods can be used to migrate your existing Oracle database to Autonomous Database? (Choose three.)

  • A. Using Recovery Manager (RMAN)
  • B. Using Data Pump
  • C. Using GoldenGate
  • D. Using SFTP to copy CSV files into an Autonomous Database
  • E. Using Oracle Zero Downtime Migration (ZDM)

Answer: B,C,E

Explanation:
Migrating to Autonomous Database requires robust tools:
Correct Answer (B): Oracle Zero Downtime Migration (ZDM) minimizes downtime by synchronizing data and schema changes while the source remains online, ideal for critical systems.
Correct Answer (C): GoldenGate provides real-time replication, enabling near-zero downtime migration by continuously syncing data to Autonomous Database.
Correct Answer (D): Data Pump exports data and schema to dump files, which are then imported into Autonomous Database, suitable for offline migrations.
Incorrect Options:
A: SFTP with CSV files is not a comprehensive migration method; it lacks schema migration and automation for complex databases.
E: RMAN is for backup/restore, not optimized for full migrations to Autonomous Database's managed environment.
These methods cater to different migration needs (online vs. offline).

 

NEW QUESTION # 150
......

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