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Oracle 1Z0-931-26 Exam Syllabus Topics:

SectionWeightObjectives
AI Features and Capabilities30%- Use Oracle Machine Learning within Autonomous Database
- Configure and use AI Vector Search
- Apply AI-assisted performance tuning and optimization
- Implement Select AI for natural language to SQL generation
Database Management and Operations25%- 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
Security, Integration and Data Management20%- Load, migrate and integrate data from various sources
- Use Autonomous Database tools for development and administration
- Configure identity and access management
- Implement data encryption and security controls
Autonomous Database Architecture and Provisioning25%- Provision and configure Autonomous Database on dedicated infrastructure
- Integrate Autonomous Database with Oracle Cloud Infrastructure services
- Provision and configure Autonomous Database on shared infrastructure
- Describe Autonomous Database architecture and core components

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Oracle Autonomous AI Database Professional Sample Questions (Q123-Q128):

NEW QUESTION # 123
Which are two available options when creating an Autonomous Database? (Choose two.)

Answer: A,C

Explanation:
Creating an Autonomous Database offers specific deployment options. The two correct ones are:
APEX Service on Dedicated Infrastructure (A): This option provisions an Autonomous Database on dedicated Exadata infrastructure with Oracle Application Express (APEX) pre-installed and optimized. It&#x2019;s ideal for APEX-based apps (e.g., custom web forms) requiring isolated resources. In the OCI console, you select &#x201C;Dedicated Infrastructure&#x201D; and &#x201C;APEX Service&#x201D; as the workload type, specifying OCPUs and storage. For example, a company might deploy an APEX app for internal reporting on a dedicated ACD, ensuring performance isolation from other tenants.
Autonomous JSON Database on Shared Infrastructure (C): This creates a schema-less, JSON-centric ADB on shared infrastructure, optimized for document storage (e.g., { &quot;order_id&quot;: 123, &quot;items&quot;: [...] }). It&#x2019;s provisioned via the OCI console under &#x201C;Shared Infrastructure,&#x201D; selecting &#x201C;JSON Database&#x201D; as the workload type. For instance, a mobile app might use it to store user data, leveraging SQL/JSON queries like SELECT JSON_VALUE(doc, &apos;$.order_id&apos;). It&#x2019;s cost-effective and fully managed, sharing Exadata resources.
The incorrect options are:
APEX Service on Shared Infrastructure (B): There&#x2019;s no distinct &#x201C;APEX Service&#x201D; workload type on shared infrastructure. APEX is available within ATP or ADW on shared infra, but it&#x2019;s not a standalone option&#x2014;you&#x2019;d provision ATP and enable APEX manually, not as a dedicated &#x201C;APEX Service.&#x201D; Autonomous JSON Database on Dedicated Infrastructure (D): JSON Database is only offered on shared infrastructure, not dedicated. Dedicated options include ATP, ADW, and APEX Service, but JSON Database leverages shared resources for simplicity and cost.
These options cater to specific app development (APEX) and NoSQL (JSON) needs.


NEW QUESTION # 124
Which three statements are true about procedures in the DBMS_CLOUD package?

Answer: A,B,E

Explanation:
Full Detailed In-Depth Explanation:
The DBMS_CLOUD package facilitates cloud integration:
A: True. CREATE_EXTERNAL_TABLE creates external tables for querying cloud data directly.
B: False. No DELETE_FILE procedure exists; credential management uses DROP_CREDENTIAL.
C: True. CREATE_CREDENTIAL securely stores cloud storage credentials.
D: True. VALIDATE_EXTERNAL_TABLE checks file integrity and logs errors.
E: False. PUT_OBJECT uploads files to cloud storage, not into the database.


NEW QUESTION # 125
Which stage of the indexing pipeline divides text into tokens?

Answer: C

Explanation:
The indexing pipeline in Oracle Text processes text for search:
Correct Answer (D): &#x201C;Lexer&#x201D; divides text into tokens (words, symbols) based on language rules and settings (e.g., whitespace, punctuation). It&#x2019;s the stage responsible for tokenization in Oracle&#x2019;s text indexing process.
Incorrect Options:
A: Sectioner identifies document sections (e.g., headers), not tokens.
B: Tokenizer is a generic term, but in Oracle Text, &#x201C;Lexer&#x201D; is the specific component.
C: Filter preprocesses text (e.g., removing stopwords), post-tokenization.
This step enables efficient text search capabilities.


NEW QUESTION # 126
What are three methods to load data into the Autonomous Database? (Choose three.)

Answer: A,B,D

Explanation:
Autonomous Database supports multiple methods for loading data, tailored to its cloud-managed nature. The three correct methods are:
Oracle Data Pump (A): Data Pump is a versatile tool for importing data into Autonomous Database. You export data from a source database (e.g., using expdp), upload the dump files to OCI Object Storage, and then use the DBMS_CLOUD package (e.g., DBMS_CLOUD.COPY_DATA) to import it. It&#x2019;s ideal for bulk data migration, supporting complex schemas and large datasets. For example, a DBA might export a schema from an on-premises database, upload it to a bucket, and import it into ADB with minimal downtime.
Oracle GoldenGate (C): GoldenGate enables real-time data replication from source databases (on-premises or cloud) to Autonomous Database. It&#x2019;s perfect for continuous data loading or synchronization, supporting both initial loads and ongoing change data capture. For instance, you could replicate transactional data from an OLTP system to ADB using GoldenGate&#x2019;s CDC (Change Data Capture) capabilities, ensuring near-zero latency.
SQL*Loader (E): SQL*Loader loads data from flat files (e.g., CSV, text) into Autonomous Database. You upload files to OCI Object Storage and use DBMS_CLOUD procedures (e.g., DBMS_CLOUD.LOAD_DATA) to process them. It&#x2019;s efficient for structured data imports, like loading a CSV of customer records, with options to handle errors and transformations.
The incorrect options are:
RMAN Restore (B): Recovery Manager (RMAN) is for backups and restores, not general data loading. While it can restore an ADB from a backup, it&#x2019;s not a method for loading new data into an existing instance.
Transportable Tablespace (D): This method moves tablespaces between databases by copying data files, but it&#x2019;s not supported in Autonomous Database due to its managed architecture, which restricts direct file-level operations.
These methods cater to different use cases: Data Pump for migrations, GoldenGate for replication, and SQL*Loader for file-based loads.


NEW QUESTION # 127
Which statement is true about OCPUs and storage when you choose to scale your Autonomous Database?

Answer: B

Explanation:
Scaling resources in Autonomous Database offers flexibility. The true statement is:
OCPUs and storage can be scaled independently (A): In Autonomous Database, you can adjust the number of OCPUs (compute resources) and storage capacity (in terabytes) separately via the OCI console or CLI. For example, you might provision an ADB with 2 OCPUs and 1 TB of storage. Later, you could scale to 4 OCPUs without changing storage, or increase storage to 2 TB without touching OCPUs. This decoupling allows tailored resource allocation&#x2014;e.g., more compute for a CPU-intensive workload or more storage for growing data&#x2014;without over-provisioning. Scaling is online, with no downtime, and status shows &#x201C;SCALING IN PROGRESS&#x201D; during the operation.
The incorrect options are:
Use auto scaling to increase storage (B): Auto scaling applies to OCPUs only, allowing up to 3x the base CPU allocation dynamically. Storage scaling is manual; you specify a new size (e.g., via oci db autonomous-database update), not via auto scaling.
Increasing OCPUs will automatically increase storage (C): There&#x2019;s no automatic linkage between OCPU and storage scaling. They are independent parameters, and increasing one does not affect the other unless explicitly requested.
OCPUs and storage must remain in sync (D): No such synchronization is required. You can have 1 OCPU with 10 TB or 10 OCPUs with 1 TB, depending on workload needs.
This independence is a hallmark of Autonomous Database&#x2019;s elasticity.


NEW QUESTION # 128
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