Question 1

Which of the following is an activation function used in neural networks?

Options :

A : Sigmoid function

B : K-means clustering function

C : Mean Squared Error function

D : Diffusion function

Answer: A

Question 2

You are experimenting with two different generative AI models for summarizing legal documents. To determine which model performs better, you decide to compare them using statistical performance metrics. Which of the following metrics and methods should you prioritize for a meaningful comparison? (Select two)

Options :

A : Assess the models' performance using the Log-Likelihood metric.

B : Use the Area Under the Curve (AUC) to compare the models' performance.

C : Calculate the Mean Absolute Error (MAE) for the summaries generated by each model.

D : Measure the models' performance using the Total Variation Distance (TVD).

E : Evaluate the models using ROUGE (Recall-Oriented Understudy for Gisting Evaluation) scores.

Answer: A,E

Question 3

You are comparing two generative AI models for image captioning. Model A has a BLEU score of 0.75 and a loss of 0.35, while Model B has a BLEU score of 0.68 and a loss of 0.28. Which model should you deploy, and why?

Options :

A : Neither, because the BLEU score is not as important as the loss function in this scenario

B : Model A, because a higher BLEU score indicates better accuracy in generating captions

C : Model A, because it has both a higher BLEU score and lower loss

D : Model B, because a lower loss indicates the model is learning more effectively

Answer: B

Question 4

Your company is tasked with developing an AI-driven recommendation system for an e-commerce platform. The system must analyze large datasets in real time, provide personalized recommendations, and integrate with existing user databases. Which of the following system components is most critical to achieving this goal?

Options :

A : A robust data pipeline that ingests and processes data from multiple sources in real-time.

B : A dedicated AI server with multiple GPUs for accelerated machine learning tasks.

C : A high-capacity SSD for storing large amounts of customer data locally.

D : A low-power CPU to minimize energy consumption.

Answer: A

Question 5

Your team has deployed a Generative AI LLM within a financial trading platform to assist users in making investment decisions based on real-time data. To ensure the LLM’s performance and reliability, the system must be continuously monitored. Which monitoring strategy is most critical in this scenario?

Options :

A : Monitoring real-time data feed integration with the LLM.

B : Tracking the number of trades executed by the LLM daily.

C : Conducting weekly audits of trades recommended by the LLM.

D : Logging the LLM’s uptime and response time for user queries.

Answer: A

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