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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Converged Database — Multi-Model and AI Capabilities | ~15% | - Select AI and natural language querying - Oracle AI Vector Search concepts - JSON, Graph, Spatial, and key-value data support |
| Topic 2: MySQL HeatWave and NoSQL Services | ~11% | - Oracle NoSQL Database features and use cases - MySQL HeatWave architecture and analytics |
| Topic 3: Oracle Machine Learning and AI Integration | ~15% | - AI agents and LLM integration - Oracle Data Studio and visualization - In-database machine learning algorithms |
| Topic 4: Autonomous AI Database and Tools | ~16% | - Shared vs dedicated infrastructure - Core features of Autonomous AI Database - Built-in management and query tools |
| Topic 5: Security, Resilience, and Cloud Integration | ~21% | - High availability, backup, and disaster recovery - Database security architectures and data protection - Cloud-native database services and deployment strategies |
| Topic 6: Oracle Database Services — Exadata, DBCS, and Engineered Systems | ~11% | - Database Cloud Service (DBCS) characteristics - Exadata architecture and features |
| Topic 7: Data Management and Oracle Data Platform Overview | ~11% | - Data management concepts and data types - Modern data platform value and architecture - Oracle Data Strategy and multi-cloud deployment models |
지금 같은 경쟁력이 심각한 상황에서Oracle 1z0-1195-26시험자격증만 소지한다면 연봉상승 등 일상생활에서 많은 도움이 될 것입니다.Oracle 1z0-1195-26시험자격증 소지자들의 연봉은 당연히Oracle 1z0-1195-26시험자격증이 없는 분들보다 높습니다. 하지만 문제는Oracle 1z0-1195-26시험패스하기가 너무 힘듭니다. DumpTOP는 여러분의 연봉상승을 도와 드리겠습니다.
질문 # 25
A development team wants to receive patches before the regular maintenance schedule so they can validate changes early.
Which maintenance option should they select?
정답：C
설명：
Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
Oracle Autonomous AI Database supports Regular and Early patch levels or maintenance schedules. The Early option applies patches before the Regular schedule so development and test systems can validate upcoming changes before production systems receive them. Oracle's current documentation states that Early patches are applied one week before the Regular scheduled patch and explicitly recommends Early for development and test databases when organizations want advance validation. Regular follows the normal maintenance cycle. "Late maintenance" and "Application-controlled maintenance" are not the applicable patch-level choices for this Serverless scenario. Because the team specifically wants patches before the regular schedule for early validation, the correct selection is Early maintenance. This falls under Autonomous AI Database operational basics, maintenance, and patch-management concepts. Oracle Docs
질문 # 26
A recruiting application must find the top job postings that semantically match a candidate's resume, but only in the candidate's city. How should the application meet this requirement?
정답：C
설명：
The correct Oracle AI Vector Search design is a single SQL query combining the relational city restriction with vector-distance ranking . The uploaded source explicitly identifies option C. Oracle AI Database's native VECTOR type enables vector similarity searches without moving business information to a separate vector database. Oracle specifically states that vector searches can be combined with sophisticated business- data searches using SQL and the capabilities of its converged database.
The recruiting system can store an embedding of each job description alongside ordinary relational attributes such as city, employer, salary, employment type, and status. The candidate's resume or search request is converted into a query vector. SQL can then apply a predicate such as city = :candidate_city, calculate vector distance against qualifying job embeddings, order the result by that distance, and return the top matches.
Exporting postings to another vector platform unnecessarily introduces data movement and loses the direct integration with current relational attributes. Graph edge labels are intended for relationship modeling, not semantic document representation. "Early maintenance" is unrelated to vector ranking.
The key Oracle AI Database principle being tested is semantic vector retrieval and conventional relational business filtering within one SQL operation .
Study Guide reference: Implementing Select AI and AI Vector Search in Autonomous AI Database - vector-distance ordering, relational predicates, top-K retrieval, and converged SQL.
질문 # 27
A team must deploy an Oracle Autonomous AI Database Serverless instance so that database access is available only inside a private OCI network.
Which access setting should they use?
정답：C
설명：
Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
Private endpoint access only is the correct network setting when an Autonomous AI Database Serverless instance must be reachable only through a private OCI network. Oracle documents that this option assigns a private endpoint, private IP address, and hostname and allows traffic only from the specified VCN, including supported peered or connected private networks. Public access is blocked unless explicitly enabled through separate advanced configuration. "Secure access from allowed IPs and VCNs only" is an ACL-based public- endpoint model and can permit approved public addresses, so it does not satisfy the stricter private-only requirement. "Secure access from everywhere" is broader still. Therefore, option D precisely matches the requirement to keep database access inside the private OCI network.
질문 # 28
A data engineer is creating a vector similarity query and wants to choose the distance metric correctly.
Which guidance should be applied?
정답：A
설명：
Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
Oracle recommends using the distance metric associated with the embedding model that generated the vectors. Different metrics-such as cosine, Euclidean, dot product, Manhattan, or Hamming-measure similarity in different ways, and an embedding model is normally trained or intended to be evaluated with a particular metric. Oracle's AI Vector Search documentation states that it is generally best to match the query distance metric to the metric used to train the embedding model. Oracle also notes that a vector index should be created and searched with the appropriate distance function; using a different function can prevent index use and trigger exact search behavior. Table row count, maintenance schedules, and the presence of JSON attributes do not determine semantic vector geometry. Therefore, option C is the correct guidance. Oracle Docs
질문 # 29
A project team wants a built-in workspace to analyze data assets and support sharing or collaboration after preparation work is complete.
Which choice fits that requirement?
정답：C
설명：
Comprehensive and Detailed 100 to 150 words of Explanation From Oracle AI Database topics:
Data Studio is the correct choice because Oracle positions it as the integrated, web-based data workspace inside Database Actions for loading, discovering, cataloging, transforming, analyzing, sharing, enriching, and automating data workflows. Its Data Analysis capability supports reports and visual analysis, while Data Share and Data Marketplace support governed distribution and collaboration after data preparation. SQL Worksheet is primarily for SQL and PL/SQL execution; Database Users is for user administration; and Private Endpoint configuration is a networking control, not a data-analysis workspace. Therefore, a team that needs to continue from prepared data into analysis and sharing should use Data Studio. This maps directly to the Oracle AI Database topic "Using Oracle Database Actions and Data Studio Tools." Oracle Docs
질문 # 30
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