0:18 A company has a machine learning project
0:20 that involves diverse data types like
0:23 streaming data and structured databases.
0:25 How does Google Cloud support data
0:28 gathering for this project?
0:30 A Google Cloud provides tools such as
0:34 pub/sub cloud storage and cloud SQL.
0:37 B. The Gemini app is the primary Google
0:40 Cloud tool for directly collecting data.
0:42 C. Google Cloud strengths are in the
0:45 data analysis tools such as BigQuery.
0:48 D. Google Cloud relies on Vertex AI to
0:56 Correct answer A. Google Cloud provides
1:00 tools such as pub/sub cloud storage and
1:09 A company is developing a conversational
1:12 AI chatbot.
1:13 They need to ensure the chatbot can
1:16 engage in human-like conversations and
1:18 provide accurate information.
1:20 What should they do to enhance the
1:22 chatbot's ability to understand and
1:25 respond effectively to user prompts? Uh,
1:27 use prompt engineering techniques like
1:30 fshot prompting to provide the chatbot
1:31 with examples of successful interactions.
1:33 interactions.
1:35 B. Limit the chatbot's training data to
1:37 prevent it from learning irrelevant information.
1:39 information.
1:41 C. Use strict keyword matching to ensure
1:43 that the chatbot only responds to
1:45 specific commands.
1:47 D. Lower model temperature setting to
1:49 produce more consistent and predictable responses.
1:58 Correct answer A. Use prompt engineering
2:01 techniques like fshot prompting to
2:02 provide the chatbot with examples of
2:13 A highly regulated financial institution
2:15 wants to use Gemini as the core decision
2:17 engine for a loan approval system that
2:20 will deterministically approve or reject
2:22 loan applications based on a strict set
2:24 of predefined criteria.
2:26 Why is this an inappropriate use case
2:30 for Gemini? Uh Gemini cannot integrate
2:33 with required financial databases.
2:35 B Gemini is not equipped to handle
2:37 structured numerical data for financial assessments.
2:39 assessments.
2:41 C Gemini is designed for flexible
2:43 content generation and inference, not
2:46 rigid rule-based decisions.
2:48 D. Gemini deployment for this scenario
2:58 Correct answer C. Gemini is designed for
3:00 flexible content generation and
3:02 inference, not rigid rule-based decisions.
3:11 A company wants a generative AI platform
3:13 that provides the infrastructure, tools,
3:16 and pre-trained models needed to build,
3:18 deploy, and manage its generative AI solutions.
3:20 solutions.
3:22 Which Google Cloud offering should the
3:26 company use? A Google Cloud Storage,
3:30 B. Google Kubernetes Engine, GKE,
3:32 C. The Vertex AI,
3:47 A software development team wants to use
3:50 generative AI, Gen AI, to code faster so
3:52 they can launch their software prototype
3:56 quicker. What should the team do? A use
3:59 Gen AI to identify potential bugs and
4:02 security vulnerabilities in their code.
4:05 B use Gen AI to refactor and optimize
4:08 existing code. C use Gen AI to
4:10 automatically generate comprehensive
4:14 documentation for their code. D. Use Gen
4:16 AI to suggest code snippets and complete functions.
4:30 A company wants to create an AI powered
4:32 educational solution that provides
4:34 personalized learning experiences for students.
4:36 students.
4:38 This platform will assess a students
4:40 knowledge, recommend relevant learning
4:42 materials, and generate personalized exercises.
4:44 exercises.
4:46 The application would provide the
4:47 structure for lessons and track progress.
4:49 progress.
4:51 What type of AI solution should they
4:54 use? A, a learning management system, LMS.
4:56 LMS.
4:58 B. An AI powered recommendation system
5:01 for learning resources.
5:04 C. A customized learning agent.
5:06 D. A large language model fine-tuned on
5:15 Correct answer C. A customized learning agent.
5:24 A company's development team is eager to
5:26 start building generative AI solutions
5:28 with Google Cloud, but has limited
5:31 experience in AI development.
5:33 They need to launch their Gen AI
5:35 solution quickly.
5:37 What Google Cloud benefit would help the
5:39 company achieve their goal? A Google
5:42 Cloud's pre-trained models and low and
5:45 no code AI tools and services.
5:47 B. Google Cloud's comprehensive training
5:49 materials and tutorials to help developers.
5:51 developers.
5:53 C. Google Cloud's collaborative AI
5:55 community and support forums connect
5:58 developers with AI experts.
6:00 D. Google Cloud's focus on continuous
6:02 improvement provides access to the
6:05 latest AI tools. features and best practices.
6:12 Correct answer A. Google Cloud's
6:15 pre-trained models and low and no code
6:25 What will Google Cloud's agent assist
6:27 help a company achieve?
6:30 A the ability to analyze conversational
6:32 data to identify customer sentiment,
6:35 common topics of discussion and insights
6:37 into agent performance and customer experience.
6:39 experience.
6:41 B. The infrastructure to provide an
6:43 enterprisegrade contact center solution
6:46 with omni channel support, routing, and
6:49 integration with CRM systems.
6:51 C. The ability to provide real-time
6:53 assistance and recommended responses to
6:55 live customer service agents during
6:57 their interactions.
6:59 D. The ability to build and deploy
7:01 deterministic and generative chatbot
7:11 Correct answer C. The ability to provide
7:13 real-time assistance and recommended
7:15 responses to live customer service
7:24 What is a primary benefit of using a
7:27 multi- aent system?
7:29 A to manage complex tasks that demand
7:32 coordinated AI functions.
7:35 B to consolidate all unique AI functions
7:39 into a single undifferentiated model. C
7:40 to serve as a platform for hosting
7:44 traditional non-AI applications.
7:46 D to simplify the most basic and
7:54 Correct answer A. to manage complex
7:56 tasks that demand coordinated AI functions.
8:04 A logistics company wants to use a
8:07 generative AI Gen AI agent to
8:09 automatically check real-time inventory
8:11 levels across its warehouses and adjust
8:13 delivery schedules.
8:15 The Gen AI agent needs access to
8:19 internal inventory data. They want the
8:21 most cost-effective solution.
8:24 What should the organization do? Uh,
8:26 build a custom API instead of using the
8:30 Gen AI agent. B, use pre-built Gen AI
8:33 chat bots for inventory questions.
8:36 C, use Vertex AI Studio to fine-tune a
8:40 model with sample inventory data. D. Use
8:42 Google Cloud databases and Vertex AI for
8:52 Answer D. Use Google Cloud databases and
8:54 Vertex AI for the agent to get live data.
9:04 A large multinational corporation with
9:06 geographically dispersed teams struggles
9:08 with knowledge silos and inconsistent
9:11 access to crucial internal information.
9:13 What is a key business benefit of using
9:16 Google agent space in this scenario? Options.
9:18 Options.
9:21 A. Improved IT infrastructure management
9:23 across offices.
9:25 B. Seamless knowledge sharing and
9:28 collaboration across internal systems.
9:30 C. Enhanced data encryption and
9:33 compliance for internal communications.
9:36 D. Automation of employee performance
9:44 Answer B. Seamless knowledge sharing and
9:54 An organization needs an AI tool to
9:57 analyze and summarize lengthy customer
9:59 feedback text transcripts.
10:01 You need to choose a Google foundation
10:04 model with a large context window. What
10:06 foundation model should the organization choose?
10:08 choose? Options:
10:09 Options:
10:11 A Gemini,
10:14 B. Code Gemma,
10:31 A human resources team is implementing a
10:33 new generative AI application to assist
10:35 the department in screening a large
10:38 volume of job applications.
10:40 They want to ensure fairness and build
10:42 trust with potential candidates.
10:45 What should the team prioritize? options.
10:47 options.
10:49 A, integrating the AI application with
10:52 various job boards to maximize candidate reach.
10:53 reach.
10:56 B, focusing on minimizing the processing
10:58 time for each application to improve efficiency.
11:00 efficiency.
11:03 C, ensuring AI operates transparently,
11:05 especially regarding application
11:08 evaluation and data usage.
11:11 D, ensuring that the AI application can
11:12 automatically rank all candidates
11:23 C. Ensuring AI operates transparently
11:24 especially regarding application
11:36 A human resources department deploys a
11:39 generative AI genai model to screen job
11:41 applications and provide a short list of
11:44 candidates to recruiters.
11:46 Recruiters notice that some seemingly
11:48 qualified candidates are consistently
11:51 being overlooked, but the AI provides no
11:52 explanation for its rankings or exclusions.
11:54 exclusions.
11:56 The company needs to address this lack
11:58 of transparency.
12:01 What should they do? Uh, collect a
12:03 larger and more diverse data set for the
12:07 Gen AI model. B, fine-tune the Gen AI
12:10 model. C, implement explainable Gen AI policies.
12:12 policies.
12:14 D. Develop fairness assessments for the
12:22 Correct answer C. Implement explainable
12:32 A company is evaluating the use of large
12:35 language models LLMs to enhance its
12:38 operations and customer interactions.
12:40 What is a primary characteristic of LLMs?
12:42 LLMs?
12:45 LLMs excel in highly specific technical
12:47 tasks requiring deep singular domain expertise.
12:49 expertise.
12:52 B LLMs learn and generalize effectively
12:53 from small data sets for niche applications.
12:55 applications.
12:58 C LLMs have strong inherent logical
13:00 reasoning and problem solving abilities
13:02 without extra prompting.
13:05 DLLM are trained on vast data sets
13:07 enabling broad language and context
13:09 understanding and adaptability across
13:18 Correct answer D. LLMs are trained on
13:20 vast data sets, enabling broad language
13:22 and context understanding and
13:34 An AI robot learns optimal package
13:36 delivery routes in a city.
13:38 It receives positive scores for fast
13:40 successful deliveries and negative
13:43 scores for delays or failures.
13:45 Through this feedback, the robot
13:48 improves its navigation over time. What
13:50 type of machine learning is being used
13:53 to train the robot. A supervised
13:57 learning, B. Deep learning, C.
14:00 Unsupervised learning, D reinforcement learning.
14:07 Correct answer D. Reinforcement learning.
14:16 A company wants to use generative AI,
14:19 Gen AI, to automate complex workflows
14:21 and improve decision-m across its
14:23 various departments.
14:25 They are considering implementing AI
14:27 agents as a key component of their strategy.
14:29 strategy.
14:31 What is the primary function of an AI
14:34 agent in a Gen AI system?
14:35 uh to provide the computing power for
14:39 training and running advanced AI models.
14:41 B to be the user interface for
14:44 interacting with AI models.
14:46 C to be a smart system that can analyze,
14:49 use tools, and make decisions to reach goals.
14:50 goals.
14:53 D to be a central storage place for the
15:01 The correct answer is C. To be a smart
15:03 system that can analyze, use tools, and
15:13 An advertising agency needs to quickly
15:16 generate many photorealistic images from
15:17 text for client campaigns. Because
15:19 traditional photooots are slow and
15:22 costly, they want to rapidly create
15:24 high-quality visuals from text and
15:26 reduce expenses.
15:28 Which Google foundation model should
15:32 they use? A Gemini,
15:34 B. Gemma,
15:36 C AO,
15:48 A company is planning to integrate
15:51 generative AI into its operations but is
15:53 wary of becoming dependent on a single
15:55 technology provider.
15:57 They prioritize the ability to choose
15:59 and integrate different AI tools and
16:02 platforms as their needs evolve. Which
16:04 inherent characteristic of Google Cloud
16:07 would address this concern
16:09 of Google Cloud's emphasis on an open
16:12 approach within its AI offerings?
16:14 B. Google Cloud's commitment to tightly
16:18 integrated proprietary AI solutions.
16:20 C. Google Cloud strategy prioritizing
16:23 fully managed AI services that simplify
16:25 the user experience.
16:27 D Google Cloud's primary focus on
16:38 The correct answer is a Google Cloud's
16:40 emphasis on an open approach within its
16:48 A consulting research team needs to
16:50 analyze multiple lengthy reports and
16:52 documents to find key trends and make
16:54 client recommendations.
16:56 They require a method to quickly
16:58 understand each document's core
17:00 findings, link information across
17:02 sources, and efficiently organize
17:05 insights for their report. Manual
17:08 methods are too slow and complex.
17:10 Which Google Cloud offering should they
17:16 use? A Notebook LM, B. Gemini app, C. A
17:20 Vertex AI search, D. Gemini for Google Workspace.
