HPE2-B08 sample questions

Question 1

A data science team is explaining their new architecture to business stakeholders. They emphasize that while their system can generate novel text and images based on prompts, it relies on foundational algorithms that learn patterns from vast amounts of training data without being explicitly programmed for every task. Which of the following best describes the relationship between the concepts being discussed?

Accepted Answer

Generative AI is a subset of Deep Learning, which is a subset of Machine Learning, which falls under the broader umbrella of Artificial Intelligence.

Answer

Artificial Intelligence is a subset of Generative AI, which relies strictly on rule-based logic.

Answer

Machine Learning and Artificial Intelligence are distinct, non-overlapping fields, with Generative AI bridging the gap between them.

Answer

Deep Learning is a specific type of Generative AI that exclusively processes structured tabular data.

Question 2

An enterprise is developing a customer support chatbot using a Large Language Model (LLM). During testing, the model occasionally provides confident but entirely fabricated answers regarding the company's specific return policies. To resolve this, the architecture team decides to implement a pattern where the user's query first searches a corporate knowledge base, and the retrieved documents are appended to the prompt before being sent to the LLM. Which AI concept does this represent?

```mermaid
flowchart LR
A[User Query] --> B[Embedding Model]
B --> C[(Vector Database)]
C -->|Retrieved Docs| D[Context Integration]
A --> D
D --> E[LLM]
E --> F[Grounded Response]
```

Accepted Answer

Retrieval Augmented Generation (RAG)

Answer

Parameter-Efficient Fine-Tuning (PEFT)

Answer

Continuous Pre-training

Answer

Discriminative Classification

Question 3

A healthcare provider needs to implement a generative AI solution to assist doctors in synthesizing patient histories. The solution must understand complex medical terminology and the provider's proprietary clinical guidelines. The IT director is debating whether to utilize Retrieval Augmented Generation (RAG) or perform Instruction Fine-Tuning on an open-source Large Language Model (LLM).

The organization has strict requirements:
1. The system must cite the exact clinical guideline document used to generate the recommendation.
2. When guidelines are updated quarterly, the AI must immediately reflect these changes without extensive downtime or recalculation.
3. Patient data must never be permanently embedded into the model's weights.

Based on these specific constraints, which architectural approach is most appropriate and why?

Accepted Answer

Retrieval Augmented Generation (RAG) is the best approach because it separates the knowledge base from the model weights, allowing real-time document updates, accurate source citations, and prevents patient data from altering the model.

Answer

Instruction Fine-Tuning is the best approach because it natively allows the model to output document citations and ensures the clinical guidelines are deeply understood by altering the model weights.

Answer

A hybrid approach primarily focused on continuous pre-training is required, as neither RAG nor Fine-Tuning can handle complex medical terminology natively.

Answer

Retrieval Augmented Generation (RAG) should be used, but only to periodically update the model weights offline to ensure compliance with the quarterly updates requirement.

Question 4

When discussing the underlying technology of modern Large Language Models (LLMs) with a technical audience, an AI architect must accurately describe the components that enable these models to process and generate human-like text. Which TWO of the following are foundational architectural elements or mechanisms primarily responsible for the capabilities of modern LLMs like GPT or Llama? (Select TWO)

Accepted Answer

Transformer Architecture

Accepted Answer

Self-Attention Mechanisms

Answer

Convolutional Neural Networks (CNNs)

Answer

Support Vector Machines (SVMs)

Answer

K-Means Clustering Algorithms

Question 5

True or False: In the context of artificial intelligence, Generative AI refers exclusively to models that are designed to classify existing data into predefined categories, such as identifying whether an email is spam or not spam.

Accepted Answer

False

Answer

True

Question 6

An AI engineer is evaluating different embedding models to power the vector database in a Retrieval Augmented Generation (RAG) pipeline. The engineer notices that when users ask conceptually similar questions using completely different vocabulary, the system fails to retrieve the correct documents. What is the most likely technical cause of this issue?

Accepted Answer

The embedding model is relying heavily on lexical (keyword) matching rather than capturing dense semantic vector representations.

Answer

The LLM's context window has been exceeded, causing it to drop the retrieved documents before generating the response.

Answer

The generative model requires instruction fine-tuning to understand the specific vocabulary used in the user prompts.

Answer

The vector database is configured with the wrong temperature setting, causing deterministic retrieval patterns.

Top vendors

Top exams

Free HPE2-B08 sample questions

True or False: In the context of artificial intelligence, Generative AI refers exclusively to models that are designed to classify existing data into predefined categories, such as identifying whether an email is spam or not spam.

6 more free samples are waiting