Oracle AI Database Foundations Associate: 1z0-1195-26 Exam


"Oracle AI Database Foundations Associate", also known as 1z0-1195-26 exam, is a Oracle Certification. With the complete collection of questions and answers, ExamcollectionPass has assembled to take you through 54 Q&As to your 1z0-1195-26 Exam preparation. In the 1z0-1195-26 exam resources, you will cover every field and category in Oracle Cloud Infrastructure Certification helping to ready you for your successful Oracle Certification.

  • Exam Code: 1z0-1195-26
  • Exam Name: Oracle AI Database Foundations Associate
  • Total Questions: 54

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Oracle 1z0-1195-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Using Oracle Database Actions and Data Studio Tools15%- Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks
- Describe Database Actions and core development tools
Topic 2: Building Low-Code Applications and Agentic AI10%- Describe Oracle APEX as Oracle's low-code platform
- Choose the appropriate Agent Factory capability for a no-code AI agent use case
Topic 3: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics20%- Describe Autonomous AI Database characteristics, offerings, and deployment choices
- Explain modern data characteristics and the Oracle AI Database 26ai converged strategy
- Create an Autonomous AI Database Serverless instance for a basic workload
Topic 4: Implementing Select AI and AI Vector Search in Autonomous AI Database20%- Describe Select AI in Autonomous AI Database
- Apply AI Vector Search to combined semantic and business-data search scenarios
- Determine how AI Vector Search supports GenAI pipelines and RAG
Topic 5: Working with AI and Vector Foundations15%- 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 6: Working with JSON and Graph in Oracle AI Database20%- Distinguish when graph capabilities and Property Graph Views fit a business use case
- Describe core graph concepts and graph analytic capabilities
- Explain JSON and Oracle AI Database JSON capabilities

Oracle AI Database Foundations Associate Sample Questions:

Question 1

A vector index will not fit entirely in memory. Which index organization option should be considered for use?

A. NEIGHBOR PARTITIONS
B. TARGET ACCURACY
C. INMEMORY NEIGHBOR GRAPH
D. EXACT SEARCH ONLY


Question 2

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


Question 3

A business team wants to launch a no-code AI agent quickly. They prefer to start from a ready-made option and later refine the publishing workflow. Which Private Agent Factory capability path fits this need?

A. Create a prompt-only prototype and publish it without using Agent Factory agent options
B. Configure data-source connections before selecting a template or agent starting point
C. Start with a pre-built agent or template, then use Agent Builder if more customization is needed
D. Build a custom agent from a blank setup before reviewing any available templates


Question 4

Which task is a common use of graph analytics?

A. Listing unrelated records without evaluating relationships
B. Sorting records only by a single numeric column value
C. Storing each relationship as an isolated text value with no links
D. Determining communities or connected clusters in a network


Question 5

Which graph analytics capability is commonly used to rank important vertices based on their relationships?

A. Vector distance metric
B. Private endpoint access
C. JSON Duality View
D. PageRank


Solutions:

Question 1
Answer: A
Question 2
Answer: A
Question 3
Answer: C
Question 4
Answer: D
Question 5
Answer: D

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