0:02 Want to test your AI leadership
0:04 knowledge? In this video, we've compiled
0:07 the top 20 Google generative AI leader
0:10 exam questions for 2025, and we'll go
0:12 through seven of them right now. These
0:14 questions are based on real exam style
0:16 scenarios designed to challenge your
0:19 strategy and AI adoption skills. Let's
0:21 see how many you can get right. The
0:22 Google Generative AI leader
0:24 certification is made for business and
0:27 strategy professionals, not coders. It
0:30 tests how you drive AI transformation,
0:32 ensure responsible adoption, and use
0:34 Google Cloud tools to lead innovation.
0:37 You'll face about 50 to 60 questions in
0:40 90 minutes, available online or on site.
0:42 Now, let's dive into your practice set.
0:46 Question one, AI strategy. A retail
0:48 company wants to integrate AI to improve
0:50 customer engagement, but leadership is
0:53 unsure where to start. What's the best
0:56 first step for the generative AI leader?
0:58 A. Implement pre-built chat bots
1:01 immediately. B. Define a clear AI vision
1:03 and roadmap. C. Automate customer
1:06 emails. D. Hire a data science team.
1:09 Correct answer. B. Start with a clear AI
1:11 vision and roadmap to align technology
1:14 with business goals. Question two.
1:17 Responsible AI. A bank wants to launch a
1:19 generative AI chatbot for financial
1:22 advice. Which action best demonstrates
1:25 responsible AI leadership? A. Focus on
1:29 response creativity. B. Exclude human
1:31 review for faster deployment. C.
1:33 Establish bias detection and ethical
1:36 review processes. D. Train only on
1:39 public internet data. Correct answer. C.
1:41 Responsible AI requires ethical
1:43 oversight, bias checks, and compliance
1:46 processes before rollout. Question
1:49 three. Google Cloud tools. Your company
1:51 needs to summarize thousands of customer
1:53 feedback documents and extract trends.
1:56 Which Google Cloud product is best for
2:00 this use case? A. BigQuery ML. Bertex AI
2:03 agent builder. C. Gemini for workspace.
2:06 D. Vertex AI search. Correct. Answer. D.
2:09 Vert.Ex AI search allows document
2:11 indexing and semantic search. Ideal for
2:14 summarizing and finding insights. Four.
2:16 Generative AI solution design. A
2:18 learning platform wants to generate
2:20 personalized exercises and lesson plans
2:22 for each student. What solution should
2:25 they use? A. LLM fine-tuned on
2:29 textbooks. B. Custom AI learning agent.
2:32 C. Gemini text summarizer. D. Vert.Ex AI
2:35 model garden. Correct. Answer. B. A
2:38 custom AI agent provides personalized
2:40 structured learning paths and tracks
2:43 progress. Ideal for education use cases.
2:47 Question five. R A concept. A large
2:50 organization's LLM produces outdated
2:52 responses due to a static training set.
2:54 How does retrieval augmented generation
2:58 R A solve this problem? A adds human
3:00 review before every response. B uses
3:02 real-time data retrieval from external
3:06 sources. C fine-tunes on user feedback.
3:09 Duces token usage for a faster inference
3:12 check mark. Correct answer. BRAG
3:15 enhances accuracy by fetching real time
3:16 up-to-date information from connected
3:20 data sources. Question six, AI adoption
3:23 challenge. An enterprise struggles to
3:25 scale its pilot AI projects across
3:27 departments. What's the main role of the
3:30 generative AI leader in this case? A.
3:33 Manage data pipelines. B enforce AI
3:36 coding standards. C. Build a cross-
3:39 functional AI governance framework. D
3:42 train teams on Python. Correct answer.
3:44 CI leaders must establish a governance
3:47 framework to align teams, ensure
3:50 compliance, and scale AI responsibly.
3:53 Question seven. Business impact. A
3:55 global logistics firm is adopting
3:57 generative AI for root optimization and
3:59 predictive planning. What business
4:02 outcome best define success? A. Reduced
4:05 API latency. B. Increased employee
4:07 productivity and cost efficiency. C.
4:11 Higher GPU utilization. D. Larger AI
4:14 data set size. Correct answer. B AI
4:16 success is measured by real business
4:18 value, improved efficiency,
4:20 productivity, and decision-making. If
4:22 you found these helpful, imagine having
4:25 access to all 45 plus verified practice
4:28 questions. Visit searchhero.com to
4:30 explore the latest Google generative AI
4:33 leader exam materials. Thanks for
4:35 watching. Don't forget to like, share,
4:38 and subscribe to IT Pro Mindset for more
4:41 real exam style prep videos every week.
4:44 Stay ready, stay certified, and I'll see
