Google Updated Cloud-Digital-Leader Exam Questions and Answers by camille

The correct answer is D. Data access policies. Here's why:

Context of the Question: The organization is deploying applications to the cloud using Platform as a Service (PaaS), which means certain responsibilities are shared between the cloud provider (Google Cloud) and the customer.

Google Cloud Product Relevance:

In the shared responsibility model for PaaS, Google Cloud manages the underlying infrastructure, including physical security, network security, and operations. However, the customer organization is still responsible for managing their data, including defining and enforcing data access policies.

Data access policies involve setting permissions, defining roles, and controlling who can access specific data within the organization, which is a critical component of maintaining data security and privacy.

Why Not Other Options:

A. Physical security: This is managed by the cloud provider (Google Cloud) and includes securing data centers and physical hardware.

B. Network security: While the cloud provider ensures network security within its infrastructure, the customer may have some responsibilities at the application level, but in a PaaS environment, most network security responsibilities are managed by the provider.

C. Operations: In a PaaS model, many operational aspects such as patch management, updates, and scaling are handled by the cloud provider.

Google Cloud Digital Leader References:

Refer to Google Cloud Shared Responsibility Model documentation for a deeper understanding of responsibilities between the provider and the customer.

The correct answer is A. A specific field of AI that can be used to create content. Here's why:

Context of the Question: The question is asking about generative AI, a specialized area within the broader field of artificial intelligence.

Google Cloud Product Relevance:

Generative AI refers to a branch of artificial intelligence that focuses on generating new content, such as text, images, audio, and other data. It uses machine learning models, such as generative adversarial networks (GANs) and transformer models (like GPT), to create new data that mimics the patterns of existing data.

This type of AI is used in various applications, including text generation, content creation, image synthesis, and more.

Why Not Other Options:

B. An umbrella term that includes all types of machine learning algorithms: This is incorrect because generative AI is a specific field within AI, not an umbrella term for all AI types.

C. An AI model for labeling images: Generative AI creates content, while labeling images falls under supervised learning.

D. A machine learning model for language translation: Language translation is a different AI application and does not specifically involve generating new content.

Google Cloud Digital Leader References:

Refer to the Google Cloud Generative AI documentation for more information on generative AI models and applications.