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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 Duration: | 60 minutes |
| Exam Price: | Free |
| Real Exam Qty: | 40 |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple-choice questions, Online unproctored exam |
| Certificate Validity Period: | 2 years |
| Passing Score: | 65% |
| Related Certifications: | Oracle AI Database Certified Foundations Associate |
| 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 |
|---|---|---|
| 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: Identifying Oracle AI Database 26ai Strategy and Autonomous AI Database Basics | 20% | - Describe Autonomous AI Database characteristics, offerings, and deployment choices - Create an Autonomous AI Database Serverless instance for a basic workload - Explain modern data characteristics and the Oracle AI Database 26ai converged strategy |
| Topic 3: 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 4: 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 5: 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 |
| Topic 6: 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 |
Oracle AI Database Foundations Associate Sample Questions:
Question 1
A business wants one data platform where semantic similarity, relational consistency, and SQL-based filtering all work together.
Which statement aligns with this design goal?
A. SQL filtering is handled in a separate application step after vector search returns results.
B. Semantic search is usually handled after relational filters are removed from the query flow.
C. Vector search requires data to be modeled as graph paths before SQL predicates are applied.
D. A converged database can keep data consistent while combining vector search with SQL.
Question 2
A data engineer is creating a vector similarity query and wants to choose the distance metric correctly.
Which guidance should be applied?
A. Choose the metric based on whether the data also has JSON attributes.
B. Choose the distance metric based on the embedding model that produced the vectors.
C. Choose the metric based on the database maintenance schedule.
D. Choose the metric based on the number of rows in the table.
Question 3
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. Public endpoint access limited by an access control list
C. Secure access from everywhere
D. Private endpoint access only
Question 4
What happens after a user asks a business question with Select AI?
A. The system selects database tables and joins without using any schema metadata
B. The database disables SQL and switches to document APIs only
C. The user must manually create embeddings before SQL can be generated
D. The platform manages prompt engineering, interacts with an LLM, and produces the answer
Question 5
Which task is a common use of graph analytics?
A. Listing unrelated records without evaluating relationships
B. Determining communities or connected clusters in a network
C. Sorting records only by a single numeric column value
D. Storing each relationship as an isolated text value with no links
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: B |
By Kevin
