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?

1. A. Document AI
2. B. BigQuery
3. C. Vertex AI Natural Language API
4. D. Grounding with Google Search

Correct Answer: D

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?

1. A. Google Cloud??s AI solutions have an open approach that supports customer choice across offerings.
2. B. Google Cloud's AI solutions are pre-packaged for easy deployment, eliminating the need for customization and integration efforts.
3. C. Google Cloud's strict adherence to proprietary technologies ensures the highest level of security and performance.
4. D. Google Cloud's focus on automation aims to replace human jobs with AI systems, potentially leading to significant workforce reductions.

Correct Answer: A

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?

1. A. Integrating the AI application with various job boards to maximize candidate reach.
2. B. Focusing on minimizing the processing time for each application to improve efficiency.
3. C. Ensuring AI operates transparently, especially regarding application evaluation and data usage.
4. D. Ensuring that the AI application can automatically rank all candidates without requiring human review.

Correct Answer: C

A data science team needs a centralized and organized location to store its various model versions, track their metadata, and easily deploy them to the respective applications. What Google Cloud service should they use?

1. A. Cloud Storage
2. B. Model Registry
3. C. BigQuery
4. D. Vertex AI Pipelines

Correct Answer: B

What is an example of unsupervised machine learning?

1. A. Analyzing customer purchase patterns to identify natural groupings.
2. B. Training a system to recognize product images using labeled categories.
3. C. Predicting subscription renewal based on past renewal status data.
4. D. Forecasting sales figures using historical sales and marketing spend.

Correct Answer: A