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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on shared infrastructure - Describe Autonomous Database architecture and core components - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on dedicated infrastructure |
| Topic 2: Security, Integration and Data Management | 20% | - Implement data encryption and security controls - Load, migrate and integrate data from various sources - Use Autonomous Database tools for development and administration - Configure identity and access management |
| Topic 3: Database Management and Operations | 25% | - Configure auto-scaling and storage management - Monitor and manage database performance and resources - Implement backup, recovery and high availability strategies - Perform patching, upgrades and lifecycle management |
| Topic 4: 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 |
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NEW QUESTION # 24
Which stage of the indexing pipeline divides text into tokens?
Answer: B
Explanation:
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.
NEW QUESTION # 25
Which option describes the connection types that third-party software can use to connect to an Autonomous Database (ADB)?
Answer: D
Explanation:
Third-party software can connect to an Autonomous Database using standard Oracle connectivity options. The correct answer is:
Any protocol supported by Oracle Net Services (B): Autonomous Database leverages Oracle Net Services (also known as SQL*Net) for connectivity, supporting protocols like TCP/IP with TLS for secure communication. This allows a wide range of third-party tools (e.g., SQL Developer, Tableau, or custom applications) to connect using established Oracle networking standards.
The incorrect options are:
New ADB-specific protocols (A): There are no proprietary, ADB-specific protocols; it uses Oracle’s existing Net Services framework.
SQL*NET only (C): While SQLNet is part of Oracle Net Services, the broader term “Oracle Net Services” encompasses all supported protocols, not just SQLNet.
JDBC only (D): JDBC is a specific Java-based API for database connectivity, not a protocol, and it’s just one of many ways to connect via Oracle Net Services.
This flexibility ensures compatibility with diverse client applications.
NEW QUESTION # 26
Which statement is true about OCPUs and storage when you choose to scale your Autonomous Database?
Answer: D
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—e.g., more compute for a CPU-intensive workload or more storage for growing data—without over-provisioning. Scaling is online, with no downtime, and status shows “SCALING IN PROGRESS” 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’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’s elasticity.
NEW QUESTION # 27
Which is a feature of a graph query language?
Answer: D
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 # 28
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 # 29
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