Oracle 1z0-1195-26 Questions & Answers - in .pdf
- Vendor: Oracle
- Exam Code: 1z0-1195-26
- Exam Name: Oracle AI Database Foundations Associate
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- Exam Code: 1z0-1195-26
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Oracle 1z0-1195-26 Exam Overview:
| Certification Vendor: | Oracle |
|---|---|
| Exam Name: | Oracle AI Database Foundations Associate |
| Exam Number: | 1Z0-1195-26 |
| Exam Format: | Multiple-choice questions, Online unproctored exam |
| Related Certifications: | Oracle AI Database Certified Foundations Associate |
| Passing Score: | 65% |
| Exam Price: | Free |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 40 |
| Certificate Validity Period: | 2 years |
| Available Languages: | English, Japanese |
| Recommended Training: | Prepare for Oracle AI Database Foundations Associate |
| Exam Registration: | Oracle MyLearn Oracle Certification Exam List |
| Sample Questions: | Oracle 1z0-1195-26 Sample Questions |
| Exam Way: | Online, unproctored exam delivered through Oracle MyLearn. |
| Pre Condition: | No prerequisite certification is required. The exam is a foundational-level certification intended for candidates building basic knowledge of Oracle AI Database and related technologies. |
| Official Syllabus URL: | https://mylearn.oracle.com/ou/course/prepare-for-oracle-ai-database-foundations-associate/162214/271620 |
Oracle 1z0-1195-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implementing Select AI and AI Vector Search in Autonomous AI Database | 20% | - Determine how AI Vector Search supports GenAI pipelines and RAG - Apply AI Vector Search to combined semantic and business-data search scenarios - Describe Select AI in Autonomous AI Database |
| 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 |
| Using Oracle Database Actions and Data Studio Tools | 15% | - Apply Data Studio capabilities to data discovery, integration, analysis, and sharing tasks - Describe Database Actions and core development tools |
| Building Low-Code Applications and Agentic AI | 10% | - Choose the appropriate Agent Factory capability for a no-code AI agent use case - Describe Oracle APEX as Oracle's low-code platform |
| Working with JSON and Graph in Oracle AI Database | 20% | - 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 |
| Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - Create an Autonomous AI Database Serverless instance for a basic workload - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy |
Oracle AI Database Foundations Associate Sample Questions:
Question #1
What is the main difference between Autonomous AI Database Serverless and Dedicated deployment choices?
A. Serverless is simple and elastic, while Dedicated provides isolated private resources and more customization.
B. Serverless and Dedicated differ only in the SQL tools available to developers
C. Serverless requires customers to manage isolated Exadata infrastructure, while Dedicated is fully shared by default
D. Serverless is used only for JSON workloads, while Dedicated is used only for relational workloads
Question #2
How is Oracle APEX described?
A. Oracle's dedicated graph-only engine
B. Oracle's JSON binary storage format
C. Oracle's low-code development platform
D. Oracle's encryption key lifecycle manager
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. Configure data-source connections before selecting a template or agent starting point
B. Create a prompt-only prototype and publish it without using Agent Factory agent options
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 sequence matches a simple RAG pipeline?
A. Generate an answer first, then create embeddings only if the answer looks weak
B. Build a graph model, then schedule maintenance, then create embeddings after generation
C. Provision an application workspace, then skip retrieval and generate answers directly from schema metadata
D. Create embeddings, store vectors, retrieve relevant chunks by similarity, then generate an answer
Question #5
Which statement describes Artificial Intelligence?
A. Systems use data and algorithms to perform tasks that normally require human intelligence
B. Systems eliminate the need for training data in every use case
C. Systems replace databases by storing all data as graphs
D. Systems are identical to AGI in all current enterprise products
Solutions:
| Question #1 Correct Answer: A | Question #2 Correct Answer: C | Question #3 Correct Answer: C | Question #4 Correct Answer: D | Question #5 Correct Answer: A |
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