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Google Cloud Certified - Generative AI Leader Exam

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Total Questions : 77

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Question # 1

A human resources team is implementing a new generative AI application to assist the department in screening a large volume of job applications. They want to ensure fairness and build trust with potential candidates. What should the team prioritize?

Options:

A.  

Integrating the AI application with various job boards to maximize candidate reach.

B.  

Focusing on minimizing the processing time for each application to improve efficiency.

C.  

Ensuring AI operates transparently, especially regarding application evaluation and data usage.

D.  

Ensuring that the AI application can automatically rank all candidates without requiring human review.

Discussion 0
Question # 2

A company is using a language model to solve complex customer service inquiries. For a particular issue, the prompt includes the following instructions:

" To address this customer ' s problem, we should first identify the core issue they are experiencing. Then, we need to check if there are any known solutions or workarounds in our knowledge base. If a solution exists, we should clearly explain it to the customer. If not, we might need to escalate the issue to a specialist. Following these steps will help us provide a comprehensive and helpful response. Now, given the customer ' s message: ' My order hasn ' t arrived, and the tracking number shows no updates for a week, ' what should be the next step in resolving this? "

What type of prompting is this?

Options:

A.  

Zero-shot

B.  

Few-shot

C.  

Role-based

D.  

Chain-of-thought

Discussion 0
Question # 3

What is the definition of generative AI?

Options:

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.

Discussion 0
Question # 4

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.

Discussion 0
Question # 5

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

Discussion 0
Question # 6

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 expertise and need a versatile solution. Which Google foundation model should they use?

Options:

A.  

Gemma

B.  

Imagen

C.  

Gemini

D.  

Veo

Discussion 0
Question # 7

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.

Discussion 0
Question # 8

A company ' s sales team spends a significant amount of time researching potential leads and manually entering data into their customer relationship management (CRM) tool. They want to improve the team ' s efficiency and enable them to focus on building relationships and closing deals. What should the organization do?

Options:

A.  

Integrate the CRM with a popular sales intelligence platform to automatically enrich lead profiles with valuable data.

B.  

Develop a custom AI solution using Google Cloud’s AutoML Natural Language to analyze lead communications and automatically update the CRM.

C.  

Implement Gemini Enterprise " unified enterprise search " including a CRM agent to automate lead research and data entry.

D.  

Implement Google Cloud ' s Contact Center AI to qualify leads and route them to the appropriate sales representatives.

Discussion 0
Question # 9

A company is developing a conversational AI chatbot. They need to ensure the chatbot can engage in human-like conversations and provide accurate information. What should they do to enhance the chatbot ' s ability to understand and respond effectively to user prompts?

Options:

A.  

Use prompt engineering techniques, like few-shot prompting, to provide the chatbot with examples of successful interactions.

B.  

Limit the chatbot ' s training data to prevent it from learning irrelevant information.

C.  

Use strict keyword matching to ensure that the chatbot only responds to specific commands.

D.  

Lower model temperature setting to produce more consistent and predictable responses.

Discussion 0
Question # 10

A company wants to adopt generative AI and is concerned about vendor lock-in. They want to maintain flexibility in their technology stack. What Google Cloud strength would ease their concerns?

Options:

A.  

Google Cloud’s AI solutions have an open approach that supports customer choice across offerings.

B.  

Google Cloud ' s AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.

C.  

Google Cloud ' s strict adherence to proprietary technologies ensures the highest level of security and performance.

D.  

Google Cloud ' s focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.

Discussion 0
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