Databricks-DA-Assoc Developing AI/BI Genie Spaces Practice Question
Exhibit
{"instructions": "Use the sales_data table for all revenue queries. Ignore discounts.", "data_sources": ["main.sales.sales_data"], "model_parameters": {"temperature": 0.1}}Refer to the exhibit. A developer is configuring a Genie Space. The model is still including discounts in its revenue calculations despite the instruction. What is the most likely cause?
⚠ Common exam trap
Candidates often assume the model has 'common sense' about business terms, failing to realize that without explicit instructions or schema constraints, the model defaults to standard SQL logic.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The model lacks sufficient metadata or schema constraints on the 'discount' column.
The AI model is likely relying on the underlying schema metadata or the actual data distribution more heavily than the provided system instructions. When instructions are contradictory to standard SQL column names or common business logic, the model requires more explicit guidance. Improving the precision of the instructions, such as specifying columns to exclude, or modifying the view definition, is necessary to override the model's default behavior.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The temperature is set too low.
Why it's wrong here
A temperature of 0.1 is low, which encourages deterministic behavior. This setting should actually help the model follow instructions more closely rather than causing it to deviate. Increasing the temperature would likely increase randomness and make the model even less likely to follow the specific, rigid instructions provided.
- ✓
The model lacks sufficient metadata or schema constraints on the 'discount' column.
Why this is correct
Genie models prioritize schema information and column names. If the 'discount' column is clearly labeled, the model might automatically include it because the instruction 'ignore discounts' is too vague. The developer should rename the column or add explicit logic in a view to ensure the model cannot reach that data.
- ✗
The Genie Space requires a higher temperature setting to understand complex exclusions.
Why it's wrong here
Higher temperature settings increase the creativity and variability of the LLM, making it more prone to hallucinations. For analytical tasks requiring precise adherence to business rules, a lower temperature is preferred. Higher temperature would likely lead to more inconsistent results and further deviations from the required calculation logic.
- ✗
The 'data_sources' array is missing the 'discounts' table.
Why it's wrong here
Including a table in the data_sources array would provide the model with more data, not less. If the model is already incorrectly calculating discounts, adding the table containing discount information would exacerbate the problem by giving the AI more raw data to potentially incorporate into its SQL generation process.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DA-Assoc exam.