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Databricks Part 1 Quiz

A medium-level quiz on Databricks Generative AI Engineer concepts, study strategy, and scenario-based exam thinking.

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Vamsi Krishna Sidda
Vamsi Krishna Sidda
Published October 12, 2026

Quiz Questions & Answers

Review every prompt, the correct responses, and helpful context to prep for your own run-through.

Question 1: What is the exam mainly testing when it gives you a real-world GenAI scenario?

Random model trivia

Only Databricks UI navigation

Pure Python memorization

Scenario-based judgment under constraints

Question 2: In the house analogy, what does the first week focus on?

Only exam-day strategy

Advanced fine-tuning tricks

Deployment and monitoring

Foundational planning and gathering materials

Question 3: When translating a business need into an AI pipeline, what is the key goal of the blueprint phase?

Register models in Unity Catalog

Optimize endpoint traffic

Define clear inputs and outputs

Track live inference tables

Question 4: A document pipeline contains repeated headers and footers that hurt answer quality. What should be done first?

Switch to a larger LLM immediately

Increase the temperature for more variety

Remove the repeated text before chunking

Fine-tune on the full PDF set

Question 5: Why does the course recommend writing chunks into Delta tables in Unity Catalog?

To avoid using embeddings

To replace the need for prompts

To eliminate document chunking

To store prepared materials in a governed format

Question 6: Which combination best matches week two's focus?

Blueprint and materials

Application development and deployment

Strategy and practice

Governance and evaluation

Question 7: Which tool pairing is highlighted for building multi-agent setups?

Python lists and loops

SQL joins and views

MLflow and the agent framework

Notebook widgets only

Question 8: During the governance phase, what should you be especially ready to handle?

Skipping documentation to move faster

Choosing the largest possible model

Masking sensitive data and applying guardrails

Replacing evaluation with manual checks

Question 9: A deployed LLM agent needs usage tracking, rate limits, and logs for analysis. What is the best Databricks-native choice?

AI Gateway with inference tables

A larger model with no logging

Manual token counting

Disabling logs to reduce overhead

Question 10: When solving a scenario question, what should you do first according to the exam strategy?

Memorize all Python syntax first

Pick the longest answer

Choose the most advanced model

Find the constraint