Generative-AI-Leader : BUNDLE PACK LEARNING TOOLS INCLUDED

Generative AI Leader
A Generative AI Leader is a visionary professional with comprehensive knowledge of how generative AI (gen AI) can transform businesses. They have business-level knowledge of Google Cloud's gen AI offerings and understand how Google's AI-first approach can lead organizations toward innovative and responsible AI adoption. They influence gen AI-powered initiatives and identify opportunities across business functions and industries, using Google Cloud's enterprise-ready offerings to accelerate innovation.

This certification is for anyone in any job role, with or without hands-on technical experience.

The Generative AI Leader exam assesses your knowledge in these areas:
Fundamentals of gen AI
Google Cloud's gen AI offerings
Techniques to improve gen AI model output
Business strategies for a successful gen AI solution

About this certification exam
Length: 90 minutes
Content: Exam guide
Registration fee: $99 (plus tax where applicable)
Language: English
Exam format: 50-60 multiple choice questions
Exam delivery method: Online-proctored or onsite-proctored
Validity period: 3 years
Prerequisites: None

Certification renewal: You can renew your certification by taking the renewal exam or the standard exam starting 60 days before your certification expires.

Preparing for your exam

Step 1. Understand what's on the exam
The exam guide contains a list of topics that may be assessed on both the standard exam and the renewal exam. Review the exam guide to determine if your knowledge aligns with the topics on the exam.

Step 2. Expand your knowledge with training
Follow the Generative AI Leader learning path
Review the Generative AI Leader Study Guide

Step 3. Prepare with sample questions
The Generative AI Leader sample questions will familiarize you with the format of exam questions and example content that may be covered on both of the exams.

The sample questions do not represent the range of topics or level of difficulty of questions presented on the exam. Performance on the sample questions should not be used to predict your Generative AI Leader exam result.

There is no limit to the number of times you can complete the sample questions.

The sample questions are not timed.
If you close the sample questions while in progress, your work won't be saved and you will have to start from the beginning.
The sample questions are currently available in English only.
Launch sample questions

Step 4. Schedule an exam
Decide whether to take the exam remotely (see online testing requirements) or at a test center (locate a test center near you).
Register to take the standard exam or renewal exam today.
Review exam terms and conditions and data sharing policies.

Sample Question And Answers

QUESTION 1
A marketing team wants to use a foundation model to create social media and advertising campaigns.
They want to create written articles and images from text.
They lack deep AI expertiseand need a versatile solution.
Which Google foundation model should they use?

A. Gemma
B. Imagen
C. Gemini
D. Veo

Answer: C

QUESTION 2
A financial institution uses generative AI (gen AI) to approve and reject loan applications, but gives no reasons for rejection.
Customers are starting to file complaints. The company needs to implement a solution to reduce the complaints.
What should the company do?

A. Collect a larger and more diverse dataset for the gen AI model.
B. Implement explainable gen AI policies.
C. Fine-tune the gen AI model.
D. Develop fairness assessments for the gen AI model.

Answer: B

QUESTION 3
A software development team wants to use generative AI (gen AI) to code faster so they can launch their software prototype quicker. What should the team do?

A. Use gen AI to refactor and optimize existing code.
B. Use gen AI to suggest code snippets and complete functions.
C. Use gen AI to automatically generate comprehensive documentation for their code.
D. Use gen AI to identify potential bugs and security vulnerabilities in their code.

Answer: B

QUESTION 4
What is the definition of generative AI?

A. A type of artificial intelligence that enables a system to autonomously learn and improve using neural networks and deep learning.4
B. A type of artificial intelligence that can create new content and ideas, including text, images, music, and code.
C. A type of machine learning algorithm inspired by the human brain that is made up of interconnected nodes.
D. A type of predictive model that estimates a relationship by fitting a line to the observed data.

Answer: B

QUESTION 5
A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build,
deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?

A. BigQuery
B. Vertex AI
C. Google Kubernetes Engine (GKE)
D. Google Cloud Storage

Answer: B