Weekend Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: simple70

Pass the Google Cloud Certified Generative-AI-Leader Questions and answers with ValidTests

Exam Generative-AI-Leader All Questions
Exam Generative-AI-Leader Premium Access

View all detail and faqs for the Generative-AI-Leader exam

Viewing page 1 out of 2 pages
Viewing questions 1-10 out of questions
Questions # 1:

A company wants to create an AI-powered educational solution that provides personalized learning experiences for students. This platform will assess a student's knowledge, recommend relevant learning materials, and generate personalized exercises. The application would provide the structure for lessons and track progress. What type of AI solution should they use?

Options:

A.

An AI-powered recommendation system for learning resources

B.

A large language model fine-tuned on educational content

C.

A learning management system (LMS)

D.

A customized learning agent

Expert Solution
Questions # 2:

A company’s development team is eager to start building generative AI solutions with Google Cloud, but has limited experience in AI development. They need to launch their gen AI solution quickly. What Google Cloud benefit would help the company achieve their goal?

Options:

A.

Google Cloud's pre-trained models and low- and no-code AI tools and services.

B.

Google Cloud's collaborative AI community and support forums connect developers with AI experts.

C.

Google Cloud's comprehensive training materials and tutorials to help developers.

D.

Google Cloud's focus on continuous improvement provides access to the latest AI tools, features, and best practices.

Expert Solution
Questions # 3:

An organization wants to use generative AI to create a marketing campaign. They need to ensure that the AI model generates text that is appropriate for the target audience. What should the organization do?

Options:

A.

Use role prompting.

B.

Use prompt chaining.

C.

Use few-shot prompting.

D.

Adjust the temperature parameter.

Expert Solution
Questions # 4:

A company is developing an AI character for a video game. The AI character needs to learn how to navigate a complex environment and make decisions to achieve certain objectives within the game. When the AI takes actions that lead to positive outcomes, like finding a reward or overcoming an obstacle, it receives a positive score. When it takes actions that lead to negative outcomes, like hitting a wall or losing progress, it receives a negative score. Through this process of trial and error, the AI gradually improves the character’s ability to play the game effectively. What machine learning should the company use?

Options:

A.

Reinforcement learning

B.

Unsupervised learning

C.

Supervised learning

D.

Deep learning

Expert Solution
Questions # 5:

A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?

Options:

A.

Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.

B.

The Gemini app is the primary Google Cloud tool for directly collecting data.

C.

Google Cloud’s strengths are in the data analysis tools such as BigQuery.

D.

Google Cloud relies on Vertex AI to connect to external data.

Expert Solution
Questions # 6:

A retail company with a large online catalog wants to improve customer experience and drive sales by implementing multimodal search capabilities (image, voice, and text). What is a primary business benefit of this capability?

Options:

A.

Improved customer engagement and product discovery leading to increased satisfaction and potential sales.

B.

Reduced dependency on keyword optimization for product listings and improved search engine rankings.

C.

Lowered operational costs associated with managing and updating product information across different platforms and channels.

D.

Streamlined inventory management processes and more accurate demand forecasting for popular items.

Expert Solution
Questions # 7:

A research team has collected a large dataset of sensor readings from various industrial machines. This dataset includes measurements like temperature, pressure, vibration levels, and electrical current, recorded at regular intervals. The team has not yet assigned any labels or categories to these readings and wants to identify potential anomalies, malfunctions, or natural groupings of machine behavior based on the sensor data alone. What type of machine learning should they use?

Options:

A.

Reinforcement learning

B.

Unsupervised learning

C.

Deep learning

D.

Supervised learning

Expert Solution
Questions # 8:

A global news agency is developing a generative AI tool to quickly summarize breaking newsarticles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?

Options:

A.

Document AI

B.

BigQuery

C.

Vertex AI Natural Language API

D.

Grounding with Google Search

Expert Solution
Questions # 9:

What is a primary benefit of using a multi-agent system?

Options:

A.

To simplify the most basic and repetitive rule-based tasks.

B.

To consolidate all unique AI functions into a single, undifferentiated model.

C.

To serve as a platform for hosting traditional, non-AI applications.

D.

To manage complex tasks that demand coordinated AI functions.

Expert Solution
Questions # 10:

A social media platform uses a generative AI model to automatically generate summaries of user-submitted posts to provide quick overviews for other users. While the summaries are generally accurate for factual posts, the model occasionally misinterprets sarcasm, satire, or nuanced opinions, leading to summaries that misrepresent the original intent and potentially cause misunderstandings or offense among users. What should the platform do to overcome this limitation of the AI-generated summaries?

Options:

A.

Implement stricter safety settings to filter out potentially misinterpreted content altogether.

B.

Increase the temperature parameter of the model to encourage more varied and less literal interpretations.

C.

Decrease the output length of the summaries to make them more concise.

D.

Incorporate a human-in-the-loop (HITL) review process to refine the summaries.

Expert Solution
Viewing page 1 out of 2 pages
Viewing questions 1-10 out of questions