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| Section | Weight | Objectives |
|---|---|---|
| Database Management and Operations | 25% | - 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 |
| Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on dedicated infrastructure |
| AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Apply AI-assisted performance tuning and optimization - Use Oracle Machine Learning within Autonomous Database - Implement Select AI for natural language to SQL generation |
| Security, Integration and Data Management | 20% | - Configure identity and access management - Implement data encryption and security controls - Use Autonomous Database tools for development and administration - Load, migrate and integrate data from various sources |
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NEW QUESTION # 90
What predefined user is created when provisioning an Autonomous Database (ADB) instance to which you connect to create other users and grant roles?
Answer: D
Explanation:
When provisioning an Autonomous Database (ADB) instance, Oracle creates a default administrative user with extensive privileges. The correct user is:
ADMIN (B): The ADMIN user is automatically created during ADB provisioning and serves as the primary administrative account. It has full privileges to manage the database, including creating users, granting roles, and performing administrative tasks (e.g., scaling, backups). For example, after provisioning an ADB via the OCI console, you’d connect as ADMIN using the password you set, then run commands like: CREATE USER analyst1 IDENTIFIED BY "password"; GRANT CONNECT, RESOURCE TO analyst1;. This user is the entry point for initial configuration and ongoing management, authenticated via the client wallet for secure access (e.g., sqlplus admin/password@adb_high). The ADMIN user is distinct from traditional Oracle users like SYS because ADB’s managed nature limits direct system-level access, funneling administration through ADMIN.
The incorrect options are:
SYS (A): In traditional Oracle databases, SYS is the superuser with ultimate control (e.g., owning the data dictionary). In ADB, however, SYS exists but is locked and inaccessible to customers due to the fully managed environment—Oracle manages system-level operations, and users connect as ADMIN instead.
DWDEV (C): There’s no predefined DWDEV user in ADB. This might confuse with roles like DWROLE (for Data Warehouse developers), but no such user is created by default.
SCOTT (D): SCOTT is a sample user from older Oracle versions (with tables like EMP and DEPT), not created in ADB. It’s irrelevant in this modern, managed context.
The ADMIN user’s role ensures customers can manage ADB without needing Oracle’s intervention, aligning with its autonomous design.
NEW QUESTION # 91
Which workload is particularly suited to Oracle Autonomous JSON Database?
Answer: D
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 # 92
Users connect to Autonomous Data Warehouse by using one of the following consumer groups: High, Medium, and Low. Which statement is true?
Answer: D
Explanation:
Autonomous Data Warehouse (ADW) uses consumer groups (High, Medium, Low) to manage resource allocation:
Correct Answer (A): “Low provides highest concurrency and lowest resources, and DoP is 1” is true. The Low group is designed for many lightweight, short-running queries, offering maximum concurrent sessions but minimal CPU/memory per session, with a Degree of Parallelism (DoP) of 1 (serial execution).
Incorrect Options:
B: High prioritizes resources, not concurrency; it has fewer sessions with more power.
C: Medium offers balanced resources and concurrency; queries can run in parallel (DoP > 1), not just serially.
D: High has high resources but low concurrency; DoP is typically higher than 1 for resource-intensive tasks.
This setup optimizes ADW for varied workloads.
NEW QUESTION # 93
Which is a feature of a graph query language?
Answer: B
Explanation:
Graph query languages, like Oracle’s Property Graph Query Language (PGQL), are designed for graph databases:
Correct Answer (D): “Ability to specify patterns” is a defining feature. Graph queries excel at defining and matching patterns (e.g., nodes and edges) to explore relationships, such as finding paths or subgraphs, critical for applications like social network analysis or fraud detection.
Incorrect Options:
A: Key-value queries are typical of NoSQL key-value stores, not graph databases.
B: While scripting may be possible in some contexts, it’s not a core feature of graph query languages.
C: Graph query languages are not inherently object-oriented; they focus on relational graph structures.
This pattern-matching capability distinguishes graph queries from other query paradigms.
NEW QUESTION # 94
Which of the following two statements are correct? (Choose two.)
Answer: C,D
Explanation:
Oracle Data Integrator (ODI) Web Edition integrates with Autonomous Database:
Correct Answer (B): “ODI Web Edition can be installed from Oracle Cloud Infrastructure (OCI) Marketplace” is true. It’s offered as a Marketplace image for easy deployment on OCI compute instances.
Correct Answer (D): “All capabilities of ODI Classic are available with ODI Web Edition” is correct; the web version retains full functionality for data integration tasks.
Incorrect Options:
A: ODI Web Edition is not limited to Oracle Linux; it runs on various platforms supported by OCI.
C: The Data Transforms Card in Database Actions uses a simplified UI, not full ODI Web Edition access.
This enhances data integration flexibility in the cloud.
NEW QUESTION # 95
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