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| Section | Weight | Objectives |
|---|---|---|
| AI Features and Capabilities | 30% | - Implement Select AI for natural language to SQL generation - Use Oracle Machine Learning within Autonomous Database - Configure and use AI Vector Search - Apply AI-assisted performance tuning and optimization |
| Database Management and Operations | 25% | - Implement backup, recovery and high availability strategies - Configure auto-scaling and storage management - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources |
| Security, Integration and Data Management | 20% | - Load, migrate and integrate data from various sources - Configure identity and access management - Implement data encryption and security controls - Use Autonomous Database tools for development and administration |
| Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on shared infrastructure - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on dedicated infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
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問題 #149
You created an Autonomous Database without auto scaling. Which two ways can you enable auto scaling? (Choose two.)
答案：C,D
解題說明：
Enabling auto scaling on an existing Autonomous Database can be done without unnecessary complexity:
Correct Answer (A): “Click Scale Up/Down and select the Auto Scaling checkbox” is the simplest GUI method. In the OCI Console, navigate to the database, select “Scale Up/Down,” and enable the auto scaling option, allowing up to 3x the base OCPUs dynamically.
Correct Answer (C): “Use a REST call to enable Auto Scaling” leverages the OCI REST API to update the database configuration with the isAutoScalingEnabled parameter set to true. This is ideal for programmatic control.
Incorrect Options:
B: Shutting down the instance is unnecessary; auto scaling can be enabled while the database is running.
D: Multiple REST calls, including shutdown and restart, overcomplicate the process when a single API call suffices.
These methods ensure minimal disruption and efficient resource management.
問題 #150
Which stage of the indexing pipeline divides text into tokens?
答案：C
解題說明：
The indexing pipeline in Oracle Text processes text for search:
Correct Answer (D): “Lexer” divides text into tokens (words, symbols) based on language rules and settings (e.g., whitespace, punctuation). It’s the stage responsible for tokenization in Oracle’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, “Lexer” is the specific component.
C: Filter preprocesses text (e.g., removing stopwords), post-tokenization.
This step enables efficient text search capabilities.
問題 #151
What are three characteristics of Data Lake data captured in Object Storage? (Choose three.)
答案：C,D,E
解題說明：
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.
問題 #152
While creating an Autonomous Container Database on dedicated infrastructure through the Oracle Cloud Infrastructure (OCI) console, which patch type is offered to be applied during maintenance?
答案：C
解題說明：
When creating an Autonomous Container Database (ACD) on dedicated infrastructure, Oracle offers specific patch types for maintenance. The correct answer is:
Release Update (RU) (D): During the creation of an ACD via the OCI console, users can choose to apply a Release Update (RU), which includes the latest security patches, bug fixes, and enhancements for the database version. RUs are the standard patching mechanism for Autonomous Databases on dedicated infrastructure, ensuring the system stays current.
The incorrect options are:
Quarterly Bundle Patch (QBP) (A): QBPs are not a recognized patch type for Autonomous Databases; they are more associated with on-premises Oracle deployments, not the cloud-native Autonomous infrastructure.
Prior Release Update Revision (PRUR) (B): PRURs are minor updates to prior releases, but they are not offered as a distinct option during ACD creation; Oracle focuses on RUs for consistency.
Prior Release Update (PRU) (C): PRUs refer to updates from previous major releases, but Autonomous Databases typically apply the latest RU, not prior ones, during provisioning or maintenance.
RUs align with Oracle’s strategy for maintaining Autonomous Databases.
問題 #153
Which is NOT needed to manage Oracle Autonomous Database with REST APIs?
答案：A
解題說明：
Managing Autonomous Database via REST APIs relies on OCI authentication:
Correct Answer (D): “Database ADMIN password” is not needed. REST API access uses OCI IAM credentials, not database-level credentials like the ADMIN password.
Required Items:
A: User’s OCID identifies the API caller.
B: Tenancy’s OCID specifies the cloud environment.
C: Fingerprint of the public key authenticates API requests with a private-public key pair.
This ensures secure, external management without exposing database credentials.
問題 #154
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