1.

Why do business analysts choose Generative AI technologies like Vertex AI Search?

Improve time-to-value to search, navigate, and extract insights and understanding from large amounts of complex data

Vertex AI Search enables you to create your own custom search solutions for your enterprise, providing semantic search and product recommendations based on your data.

Customize large models and incorporate state of the art generative capabilities natively into their own internal ML operational platforms

When coding, they want to reduce time from looking for code snippets online and copy-pasting them into their project.
2.

What does the prompt parameter "Top-P" control?

The randomness or creativity of the responses.

A sample from a shortlist of output tokens.

The number of instructions the model can follow.

The number of words in a set, according to the next word's probability distribution.
3.

Which of the following is a potential use of generative AI?

Automatic reading of X-rays

Predicting future sales

A customer service chatbot

A robot that performs mechanical tasks
4.

Where in Vertex AI will you find a user friendly interface, where you can test sample prompts, design your own prompts, and customize foundation models, to handle tasks that meet your application's needs?

Model Garden

Vertex AI Agent Builder

PaLM for Text and Chat

Vertex AI Studio
5.

What tool should you use to provide search functionality in your financial services product?

Vertex AI Search

Vertex AI Search for retail

Google Cloud Search

Enterprise Search
6.

Which product would you choose to build voice-enabled applications for global audiences?

Codey

Imagen

Embeddings

Chirp
7.

Google’s approach to responsible AI is based on which of the following commitments? (Select 4)

It’s driven by scientific excellence.

It eliminates team disagreements.

It’s built for everyone.

It respects privacy.

It’s accountable and safe.

It speeds up product development processes.
8.

What action does Google recommend organizations take to ensure that AI is used responsibly?

Follow a top-down approach to increase AI adoption

Seek participation from a diverse range of people

Focus on being efficient

Use a checklist to evaluate responsible AI
9.

Which part of Vertex AI, acts as a repository, where you can access Google Cloud’s state of the art foundation models, as well as third party and open source models.

PaLM Garden

Model Garden

Vertex AI Garden

Vertex AI Studio
10.

Prompt tuning is a technique for:

Training large language models.

Improving the output quality of large language models.

Making large language models more accurate.

Making large language models more versatile.
11.

How does an LLM generate its answers?

You provide the answers and data, and let the LLM come up with the rules.

You express rules using code, these act on data, and the LLM returns your answers.

You provide a prompt and the LLM uses Google Search to provide a response based on search results.

You provide a prompt as input, and the LLM returns a probability distribution over possible tokens that are likely to come next.
12.

What product should an enterprise use if they don’t have any ML expertise?

Gemini app

Google AI Studio

Vertex AI

Vertex AI Agent Builder
13.

What is the name of the prompt design approach in which you provide the model examples to establish a pattern, together with your prompt?

Zero-shot

In-context

Few-shot

Multi-shot
14.

What product should you use for your generative AI enterprise use cases?

Vertex AI Model Builder and Agent Builder

Gemini app and Vertex AI Agent Builder

Gemini app and Google AI Studio

Gemini app and Vertex AI
15.

Which of the following is recommended by Google as most important in establishing AI governance?

Developing technical tools to evaluate ML models

Building practices around ethical decision-making

Creating decision trees to address common ethical situations

Encouraging people to make decisions based on their own values
16.

What are two current limitations of LLMs? (Select two options)

Semantic understanding

Irrelevant or factually incorrect statements

Datasets

Hallucinations

Natural language conversation
17.

What is Google Cloud’s preferred method for Parameter-Efficient Tuning?

Prompt Tuning

LoRA (Low-Rank Adaptation)

Model Tuning

Prompt Design
18.

How does generative AI work?

It uses the internet to repeat answers for common questions.

It uses a generic algorithm to evolve a population of models until it finds one that can generate the desired output.

It uses a rule-based system to generate output based on a set of predefined rules.

It uses a neural network to learn from a large dataset.
19.

What are two reasons that customers choose Vertex AI Search? (Select two options)

Improve existing search result experiences with LLM-based capabilities such as summarizing results.

Existing systems only do keyword search, which is too limiting.

Vertex AI Search only supports keyword search.

Customers usually have a lot of time and resources to spend on building bespoke search solutions

You can build conversational AI chatbots, using Dialogflow CX.
20.

In terms of parameters for decoding strategies, what is the definition of Temperature?

Ranks tokens based on the probability distribution relating to certain words.

Dynamically increase and decrease the number of words in a set, according to the next word's probability distribution.

A sample from a shortlist of output tokens.

A number that can be used to tune the degree of randomness.
21.

Choose the answer that best describes the security posture of Vertex AI Agent Builder.

Vertex AI Agent Builder offers the same security capabilities as other Google Cloud Perimeter products, and only uses your logs and metadata to train foundation models.

Vertex AI Agent Builder uses the latest GPU technology to encrypt your custom models.

Vertex AI Agent Builder offers the same security capabilities as other Google Cloud products like BigQuery, including data encryption in flight and disk and no data sharing across customers

Vertex AI Agent Builder does not store any customer data, making all interactions secure and private.
22.

What is machine learning?

Large, general purpose language models

Programs or systems that learn from data instead of being explicitly programmed

Artificial intelligence technology that can produce various types of content

Algorithms used to describe and create new data
23.

When discussing pricing with customers, you should focus on…

Focus on the revolutionary power of generative AI, since it can be a solution for every customer problem.

All of the answers are correct.

The broad platform value, since Google Cloud provides the same enterprise-grade offering for generative AI solutions as the rest of the cloud infrastructure portfolio.

Focus on pricing, Vertex AI Agent Builder is the cheapest in the market.
24.

You want to organize documents into distinct groups, without predefining the groups. Which type of machine learning model should you use?

Discriminative deep learning model

Natural language processing (NLP) model

Unsupervised learning model

Supervised learning model
25.

What features are available as part of Vertex AI Agent Builder?

Vertex AI Search, Image Generation, Conversational AI

Vertex AI Search and Conversation

Vertex AI Search, Recommendations, Personalize, AI Agents

Vertex AI Search, Coding, Personalize