Pass the Google Google Cloud Certified Cloud-Digital-Leader Questions and answers with CertsForce

The correct answer is C. Cloud SQL. Here's why:

Context of the Question: The organization needs a cost-effective, transactional database for an e-commerce application serving customers in a single region. A transactional database is needed to handle online transactions with ACID (Atomicity, Consistency, Isolation, Durability) properties.

Google Cloud Product Relevance:

Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. It is cost-effective, supports transactional workloads, and is suitable for applications with regional data residency requirements. This makes it ideal for an e-commerce application that only serves customers in a single region.

Why Not Other Options:

A. Cloud Spanner: Cloud Spanner is a globally distributed, strongly consistent database designed for large-scale, mission-critical applications. It is more expensive and better suited for applications requiring global distribution and high availability across multiple regions.

B. Cloud Bigtable: Cloud Bigtable is a NoSQL wide-column database designed for low-latency, high-throughput workloads, such as analytics. It does not support ACID transactions, making it unsuitable for transactional workloads like an e-commerce application.

D. BigQuery: BigQuery is a fully managed data warehouse designed for large-scale analytics. It is not suitable for transactional database needs.

Google Cloud Digital Leader References:

For more details on Cloud SQL, refer to the Cloud SQL documentation in the Google Cloud platform.

The difference between spam and phishing is that, while they both may be inbox-clogging nuisances, only one (phishing) is actively aiming to steal login credentials and other sensitive data. Spam is a tactic for hawking goods and services by sending unsolicited emails to bulk lists

https://treehousetechgroup.com/8-examples-of-unstructured-data/

The correct answer is B. Organizations do not need to make upfront capital investments in cloud security. Here's why:

Context of the Question: The question asks about the benefits of the operational expenditure (OpEx) model for cloud security.

Google Cloud Product Relevance:

The OpEx model involves paying for cloud resources and services on a pay-as-you-go basis, avoiding the need for large upfront capital expenditures (CapEx) for security hardware or software.

In the cloud, security services (such as firewalls, encryption, and monitoring tools) are provided as managed services, which organizations can subscribe to and pay for based on usage. This model allows for more flexibility and scalability in managing security needs and costs.

Why Not Other Options:

A. Organizations can deploy custom security hardware: In the cloud, most security needs are met through managed services rather than deploying custom hardware.

C. Organizations do not need to configure any security settings for cloud resources: This is incorrect, as organizations are responsible for configuring security settings for their applications and data.

D. The cloud provider guarantees security: The cloud provider guarantees the security of the infrastructure, but the customer is responsible for securing their applications, data, and access controls.

Google Cloud Digital Leader References:

Refer to Google Cloud's shared responsibility model documentation for more information on OpEx benefits for cloud security.

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.

Serverless computing , as public cloud prouder(eg. google) will mange the infra things