DATABRICKS-GAIE Practice Questions: Design Applications Domain

Published: September 29, 2025 | 20 min read

Test your DATABRICKS-GAIE knowledge with 10 practice questions from the Design Applications domain. Includes detailed explanations and answers.

DATABRICKS-GAIE Practice Questions

Master the Design Applications Domain

Test your knowledge in the Design Applications domain with these 10 practice questions. Each question is designed to help you prepare for the DATABRICKS-GAIE certification exam with detailed explanations to reinforce your learning.

Question 1

You are tasked with designing a generative AI application on Databricks for a retail company. The application needs to integrate with existing customer databases and provide real-time product recommendations. Which integration pattern would best suit this requirement?

A) Batch processing with daily updates

B) Near real-time streaming with Apache Kafka

C) Manual data import using CSV files

D) Scheduled data export to a data warehouse

Show Answer & Explanation

Correct Answer: B

Explanation: Near real-time streaming with Apache Kafka is the best choice for providing real-time product recommendations, as it allows the application to process and respond to data changes almost immediately. Batch processing and scheduled exports would introduce delays, and manual data import is not suitable for real-time requirements.

Question 2

To ensure seamless integration of a generative AI application with external systems on Databricks, which of the following practices should be prioritized?

A) Hardcoding API endpoints into the application

B) Utilizing environment variables for configuration management

C) Embedding credentials directly in the application code

D) Using a monolithic architecture for all components

Show Answer & Explanation

Correct Answer: B

Explanation: Utilizing environment variables for configuration management is a best practice for integrating with external systems, as it allows for flexible and secure handling of configuration settings. Hardcoding endpoints and embedding credentials in code are insecure, and a monolithic architecture can hinder scalability and integration efforts.

Question 3

In the context of designing a user experience for a generative AI application on Databricks, which approach would be most effective for gathering user requirements?

A) Conducting a one-time survey with potential users

B) Engaging in iterative user feedback sessions throughout development

C) Relying solely on developer assumptions about user needs

D) Using historical data usage patterns without user input

Show Answer & Explanation

Correct Answer: B

Explanation: Engaging in iterative user feedback sessions throughout development is the most effective approach for gathering user requirements, as it allows for continuous improvement and adaptation to user needs. One-time surveys and developer assumptions may miss critical insights, and relying solely on historical data can overlook current user expectations.

Question 4

You are designing a generative AI application on Databricks that needs to integrate with existing enterprise data systems. Which integration pattern is most suitable for ensuring real-time data synchronization between Databricks and the enterprise systems?

A) Batch Processing

B) Event-Driven Architecture

C) Scheduled ETL Jobs

D) Manual Data Upload

Show Answer & Explanation

Correct Answer: B

Explanation: Event-Driven Architecture is the most suitable integration pattern for ensuring real-time data synchronization. It allows systems to react to data changes as they occur, unlike Batch Processing or Scheduled ETL Jobs, which introduce latency. Manual Data Upload is not feasible for real-time requirements.

Question 5

When gathering requirements for a generative AI application on Databricks, which stakeholder is most critical to involve to ensure the application's technical feasibility and alignment with existing infrastructure?

A) End Users

B) Data Scientists

C) IT Infrastructure Team

D) Product Managers

Show Answer & Explanation

Correct Answer: C

Explanation: Involving the IT Infrastructure Team is critical to ensure technical feasibility and alignment with existing infrastructure. They provide insights into current systems and technical constraints. While Data Scientists and Product Managers are important, they focus more on functionality and business needs.

Question 6

To optimize the performance of a generative AI application running on Databricks, which of the following strategies should be prioritized?

A) Increasing the number of features in the model

B) Reducing the size of training datasets

C) Utilizing Delta Lake for efficient data storage and retrieval

D) Running models on local machines instead of Databricks clusters

Show Answer & Explanation

Correct Answer: C

Explanation: Utilizing Delta Lake is crucial for optimizing performance as it provides efficient data storage and retrieval, enabling faster data processing. Increasing model features or reducing dataset size can affect model accuracy. Running models locally would not leverage Databricks' distributed computing capabilities.

Question 7

When designing the architecture for a generative AI application on Databricks, which of the following is a key consideration to ensure optimal performance?

A) Using a single large cluster for all workloads

B) Isolating workloads by using separate clusters for ETL and model training

C) Deploying all components on a single node for simplicity

D) Relying solely on default cluster configurations

Show Answer & Explanation

Correct Answer: B

Explanation: Isolating workloads by using separate clusters for ETL and model training ensures that resource allocation is optimized for each specific task, leading to improved performance. Using a single large cluster or deploying on a single node can lead to resource contention, and relying on default configurations may not meet specific application needs.

Question 8

In designing the user experience for a generative AI application on Databricks, what is the primary consideration to ensure that users can effectively interact with the AI models?

A) Ensuring the application has a complex UI with multiple options

B) Providing comprehensive documentation for users

C) Designing intuitive interfaces with clear feedback mechanisms

D) Limiting user interactions to predefined workflows

Show Answer & Explanation

Correct Answer: C

Explanation: Designing intuitive interfaces with clear feedback mechanisms is crucial for effective user interaction. It ensures that users can easily understand and use the application, unlike complex UIs or limited interactions. Comprehensive documentation is important but secondary to intuitive design.

Question 9

A financial services company is developing a generative AI application on Databricks. They need to ensure that the application complies with strict data governance policies. Which Databricks feature would be most crucial in achieving this?

A) Unity Catalog

B) MLflow

C) Delta Lake

D) Databricks Jobs

Show Answer & Explanation

Correct Answer: A

Explanation: Unity Catalog is a key feature for data governance on Databricks, providing centralized access control, audit logs, and data lineage, which are crucial for compliance with strict data governance policies. MLflow, Delta Lake, and Databricks Jobs are important for other aspects of application development but do not directly address governance requirements.

Question 10

Which architectural design principle is most important for ensuring the scalability of a generative AI application on Databricks?

A) Monolithic Architecture

B) Microservices Architecture

C) Single-Tier Architecture

D) Client-Server Architecture

Show Answer & Explanation

Correct Answer: B

Explanation: Microservices Architecture is essential for scalability as it allows individual components to be scaled independently based on demand. Monolithic and Single-Tier Architectures are less flexible and scalable. Client-Server Architecture is a general design pattern and does not specifically address scalability.

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About DATABRICKS-GAIE Certification

The DATABRICKS-GAIE certification validates your expertise in design applications and other critical domains. Our comprehensive practice questions are carefully crafted to mirror the actual exam experience and help you identify knowledge gaps before test day.