Question 1

As a Gen AI engineer, you need to design a prompt for a model to extract and format customer data from a support ticket into JSON. Which of the following prompts will best ensure that the model outputs the data in the correct JSON format?

Options :

A : Extract the Customer Name, Issue Type, and Ticket ID from the support ticket and provide the results in JSON format.

B : Extract the following fields from the support ticket and format them as JSON: Customer Name, Issue Type, Ticket ID. Example output: {"Customer Name": "Alice Smith", "Issue Type": "Technical Support", "Ticket ID": "12345"}.

C : Provide a summary of the customer’s support ticket in JSON format.

Answer: B

Question 2

A Generative Al Engineer is responsible for developing a chatbot to enable their companys internal HelpDesk Call Center team to more quickly find related tickets and provide resolution. While creating the GenAI application work breakdown tasks for this project, they realize they need to start planning which data sources (either Unity Catalog volume or Delta table) they could choose for this application. They have collected several candidate data sources for consideration: call_rep_history: a Delta table with primary keys representative_id, call_id. This table is maintained to calculate representatives call resolution from fields call_duration and call start_time. transcript Volume: a Unity Catalog Volume of all recordings as a *.wav files, but also a text transcript as *.txt files. call_cust_history: a Delta table with primary keys customer_id, cal1_id. This table is maintained to calculate how much internal customers use the HelpDesk to make sure that the charge back model is consistent with actual service use. call_detail: a Delta table that includes a snapshot of all call details updated hourly. It includes root_cause and resolution fields, but those fields may be empty for calls that are still active. maintenance_schedule “ a Delta table that includes a listing of both HelpDesk application outages as well as planned upcoming maintenance downtimes. They need sources that could add context to best identify ticket root cause and resolution. Which TWO sources do that? (Choose two.)

Options :

A : call_cust_history

B : maintenance_schedule

C : call_rep_history

D : call_detail

E : transcript Volume

Answer: D,E

Question 3

In which of the following scenarios model learns using RAG?

Options :

A : Model Fine Tuning

B : None of these options

C : Model Pre-Training

D : Passing Contextual Information

Answer: D

Question 4

As a Gen AI engineer developing an intelligent system that integrates various external tools and APIs, which statement best describes the role of agents?

Options :

A : Agents only handle coding tasks and do not interact with other types of tools.

B : Agents rely solely on search tools, like web browsing and search engines, for all tasks.

C : Agents use pre-configured tools without considering the context of the task.

D : "Agents' reasoning skills decide which tools to use and when/how to use them.

Answer: D

Question 5

Which of the following parameters can affect the determinism and creativity of an LLM?

Options :

A : All of these options

B : "Top-k" value

C : "Top-p" value

D : "Temperature" value

Answer: A

Smartly Prepare Exam with Free Online Databricks-Certified-Generative-AI-Engineer-Associate Practice Test

Buying Options: