Oracle 1z0-1195-26模擬トレーリング & 1z0-1195-26オンライン試験

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Oracle 1z0-1195-26 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Building Low-Code Applications and Agentic AI	10%	- Describe Oracle APEX as Oracle's low-code platform - Choose the appropriate Agent Factory capability for a no-code AI agent use case
Topic 2: Using Oracle Database Actions and Data Studio Tools	15%	- Describe Database Actions and core development tools - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks
Topic 3: Implementing Select AI and AI Vector Search in Autonomous AI Database	20%	- Apply AI Vector Search to combined semantic and business-data search scenarios - Describe Select AI in Autonomous AI Database - Determine how AI Vector Search supports GenAI pipelines and RAG
Topic 4: Working with AI and Vector Foundations	15%	- Apply vector distance and indexing concepts to similarity search needs - Describe AI, AGI, and machine learning foundations - Explain vectors, embeddings, and the Oracle VECTOR data type
Topic 5: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics	20%	- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Create an Autonomous AI Database Serverless instance for a basic workload
Topic 6: Working with JSON and Graph in Oracle AI Database	20%	- Describe core graph concepts and graph analytic capabilities - Explain JSON and Oracle AI Database JSON capabilities - Distinguish when graph capabilities and Property Graph Views fit a business use case

>> Oracle 1z0-1195-26模擬トレーリング <<

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Oracle AI Database Foundations Associate 認定 1z0-1195-26 試験問題 (Q41-Q46):

質問 # 41
In a property graph, what are vertices and edges?

A. Vertices are JSON collections, and edges are maintenance policies
B. Vertices represent entities, and edges represent relationships between them
C. Vertices are storage partitions, and edges are encryption keys
D. Vertices are path lengths and edges are SQL functions

正解：B

質問 # 42
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?

A. Secure access from allowed IPs and VCNs only
B. Private endpoint access only
C. Public endpoint access limited by an access control list
D. Secure access from everywhere

正解：B

解説：
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.

質問 # 43
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?

A. Private Endpoint configuration for network access
B. Data Studio
C. SQL Worksheet for individual query execution
D. Database Users for account administration

正解：B

解説：
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

質問 # 44
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?

A. Export all job postings to a separate vector platform and remove city filtering
B. Use one SQL query that combines relational filters with vector distance ordering
C. Use Early maintenance so results are ranked sooner
D. Replace job descriptions with graph edge labels only

正解：B

解説：
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.

質問 # 45
A team needs faster similarity search at scale and accepts approximate top-K results. Which feature should they use?

A. A vector index with approximate search
B. A graph view with ONE ROW PER STEP
C. A standard B-tree index optimized for exact match and range queries
D. A JSON duality view with update restrictions

正解：A

質問 # 46
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1z0-1195-26スタディガイドの優れた利点の1つは、高い合格率です。これは99％に達し、同業他社の平均合格率よりもはるかに高くなっています。当社の高い合格率は、当社が業界トップの1z0-1195-26準備ガイドである理由を説明しています。自信の源は、素晴らしい1z0-1195-26試験問題です。 1z0-1195-26学習教材の練習を約20〜30時間続ける限り、試験に合格しても問題はありません。私たちの専門家は、実際の試験問題に合わせて1z0-1195-26の質問と回答を設計しました。これは、高い能力で試験に合格するのに役立ちます。

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