As the world and business changes, organizations have to decide between embracing new technology and transforming, or keeping their technology and approaches the same. What risks might an organization face by not transforming as their market evolves? Focusing on 'how' they operate can prevent organizations from seeing transformation opportunities. Focusing on 'why' they operate can lead to inefficient use of resources and disruption. Embracing new technology can cause organizations to overspend on innovation. Organizations risk losing market leadership if they spend too much time on digital transformation.

Focusing on 'how' they operate can prevent organizations from seeing transformation opportunities.

How do data analytics and business intelligence differ from AI and ML? Data analytics and business intelligence are used only in small businesses, whereas AI and ML are used exclusively by large corporations. Data analytics and business intelligence identify trends from historical data, whereas AI and ML use data to make decisions for future business. Data analytics and business intelligence use automated decision-making processes, whereas AI and ML require human intervention and interpretation of data. Data analytics and business intelligence involve advanced algorithms for predicting future trends, whereas AI and ML focus on processing historical data.

Data analytics and business intelligence identify trends from historical data, whereas AI and ML use data to make decisions for future business.

What does the consistency dimension refer to when data quality is being measured? Whether the data is uniform and doesn't contain any contradictory information. Whether all the required information is present. Whether a dataset is free from duplicate values that could prevent an ML model from learning accurately. Whether the data is up-to-date and reflects the current state of the phenomenon that is being modeled.

Whether the data is uniform and doesn't contain any contradictory information.

Which three essential aspects of cloud security form the foundation of the CIA triad? Compliance, identity, and access management Certificates, intelligence, and authentication Containers, infrastructure, and architecture Confidentiality, integrity, and availability

Confidentiality, integrity, and availability

Understanding Cloud Computing, Data Management, and Security Concepts

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Computer Science - Software Engineering

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Cards in this deck(12)

As the world and business changes, organizations have to decide between embracing new technology and transforming, or keeping their technology and approaches the same. What risks might an organization face by not transforming as their market evolves?

An organization wants to move their collaboration software to the cloud, but due to limited IT staff, one of their main drivers is having low maintenance needs. Which cloud computing model would best suit their requirements?

What are the two services that BigQuery provides?

Which strategy describes when databases are migrated from on-premises and private cloud environments to the same type of database hosted by a public cloud provider?

How do data analytics and business intelligence differ from AI and ML?

What does the consistency dimension refer to when data quality is being measured?

What computing option automatically provisions resources, like compute power, in the background as needed?

In modern cloud application development, what name is given to independently deployable, scalable, and maintainable components that can be used to build a wide range of applications?

Which three essential aspects of cloud security form the foundation of the CIA triad?

Which practice involves a combination of processes and technologies that help reduce the risk of data breaches, system outages, and other security incidents in the cloud?

Why is it a benefit that the Google Cloud resource hierarchy follows inheritance and propagation rules?

What does the Cloud Profiler tool do?

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