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| Section | Weight | Objectives |
|---|---|---|
| Security, Integration and Data Management | 20% | - Configure identity and access management - Implement data encryption and security controls - Load, migrate and integrate data from various sources - Use Autonomous Database tools for development and administration |
| Autonomous Database Architecture and Provisioning | 25% | - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on shared infrastructure - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on dedicated infrastructure |
| AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation - Apply AI-assisted performance tuning and optimization - Use Oracle Machine Learning within Autonomous Database |
| Database Management and Operations | 25% | - Monitor and manage database performance and resources - Configure auto-scaling and storage management - Implement backup, recovery and high availability strategies - Perform patching, upgrades and lifecycle management |
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NEW QUESTION # 55
Which two statements apply to the Autonomous Database service on Dedicated Infrastructure? (Choose two.)
Answer: A,D
Explanation:
Autonomous Database on Dedicated Infrastructure offers more control than shared infrastructure. The two correct statements are:
You, as the customer, are responsible for all patching operations (A): In dedicated infrastructure, customers manage patching for Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs), unlike shared infrastructure where Oracle handles it. You choose when to apply Release Updates (RUs) or skip them (up to two quarters), using the OCI console or API (e.g., oci db autonomous-container-database update). For example, you might schedule an RU for an ACD on a Saturday night, downloading the patch from Oracle and applying it manually to minimize downtime. This responsibility comes with the dedicated model’s flexibility.
You can set maintenance windows for each individual Autonomous Container Database (C): Dedicated infrastructure allows setting specific maintenance windows per ACD, not just at the Exadata Infrastructure level. In the OCI console, under each ACD’s details, you configure a preferred time (e.g., “Sundays, 02:00-04:00 UTC”), ensuring patches or upgrades align with your schedule. For instance, ACD1 might patch Sundays, while ACD2 patches Tuesdays, tailoring downtime to different workloads.
The incorrect options are:
You can set maintenance windows for an Autonomous Exadata Infrastructure (B): Maintenance windows are set at the ACD level, not the broader Autonomous Exadata Infrastructure (AEI) level. AEI maintenance (e.g., hardware updates) is Oracle-managed, with notification but no customer scheduling.
Patching occurs on the first Sunday of each quarter (D): There’s no fixed schedule like “first Sunday.” In dedicated mode, you control patching timing within a quarter, notified by Oracle of available RUs, unlike shared infrastructure’s Oracle-driven schedule.
These statements highlight dedicated infrastructure’s customer-driven management.
NEW QUESTION # 56
For fleet admins to access dedicated Exadata infrastructure, which policy should be assigned?
Answer: A
Explanation:
Fleet administrators managing dedicated Exadata infrastructure in Oracle Autonomous Database require broad permissions across all Autonomous Database resources, including those on dedicated infrastructure.
Correct Answer (B): The policy Allow group adb-admins to manage autonomous-database-family in tenancy grants comprehensive management rights over the entire Autonomous Database family, including dedicated Exadata infrastructure. The autonomous-database-family resource type encompasses all Autonomous Database resources (shared and dedicated) within the tenancy, making it suitable for fleet admins.
Incorrect Options:
A: Limits permissions to databases with the OLTP workload type (Autonomous Transaction Processing), excluding Data Warehouse (DW) or other types on dedicated infrastructure.
C: Restricts access to DW workload types only, omitting OLTP and other configurations.
D: Grants permissions only to autonomous-database resources, which may not fully cover dedicated infrastructure components like Autonomous Container Databases or Exadata Infrastructure.
This policy ensures fleet admins have the necessary scope to manage all aspects of dedicated deployments.
NEW QUESTION # 57
Which native data type is used to store spatial information?
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 # 58
Which is a feature of a graph query language?
Answer: A
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 # 59
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): “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 # 60
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