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Google Cloud Digital Leader Exam | Questions & Answers (100 %Score) Latest Updated 2024/2025 Comprehensive Questions A+ Graded Answers | 100% Pass $13.48   Add to cart

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Google Cloud Digital Leader Exam | Questions & Answers (100 %Score) Latest Updated 2024/2025 Comprehensive Questions A+ Graded Answers | 100% Pass

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  • Google Cloud Platform Associate Cloud Engineer
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  • Google Cloud Platform Associate Cloud Engineer

Google Cloud Digital Leader Exam | Questions & Answers (100 %Score) Latest Updated 2024/2025 Comprehensive Questions A+ Graded Answers | 100% Pass

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  • August 2, 2024
  • 26
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • Google Cloud Platform Associate Cloud Engineer
  • Google Cloud Platform Associate Cloud Engineer
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VasilyKichigin
Google Cloud Digital Leader Exam | Questions & Answers (100 %Score) Latest Updated
2024/2025 Comprehensive Questions A+ Graded Answers | 100% Pass


An organization wants to dynamically adjust its application to serve different user needs. What are the
benefits of storing their data in the cloud for this use case?



a. Data can be stored in archive for long term access

b. No data access management required

c. Automatic data cleaning and validation

d. Real-time data ingestion and analysis - ✔️✔️Real-time data ingestion and analysis



An organization is looking for a data warehouse for analysis and reporting with seamless scaling. Which
Google Cloud product or service should the organization use?



a. Cloud storage

b. Dataflow

c. BigQuery

d. Looker - ✔️✔️BigQuery



An organization wants to search for and share plug-and-play AI components which can easily build ML
services into their project. Which Google Cloud product should the organization use?



a. Recommendations AI

b. Document AI

c. VertexAI

d. Cloud Talent Solution - ✔️✔️VertexAI



An organization runs their application on a virtual machine, but every time they want to edit specific
features, they have to bring the system offline to update the application. What would be a more
appropriate solution for their app?

,a. Solid State Disk

b. Containers

c. Hypervisors

d. GPUs - ✔️✔️Containers



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?



a. Focusing on 'why' they operate can lead to inefficient use of resources and disruption.

b. Organizations risk losing market leadership if they spend too much time on digital transformation

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

d. Embracing new technology can cause organizations to overspend on innovation. - ✔️✔️Focusing on
'how' they operate can prevent organizations from seeing transformation opportunities.



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?



a. Infrastructure-as-a-Service (laas)

b. Software-as-a-Service (Saas)

c. Platform-as-a-Service (Paas)

d. IT-as-a-Service (ITaas) - ✔️✔️Software-as-a-Service (Saas)



What are the two services that BigQuery provides?



a. Storage and analytics

b. Migration and analytics

c. Compute and analytics

d. Networking and storage - ✔️✔️Storage and analytics

, 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?



a. Managed database migration

b. Refactoring

c. Remain on-premise

d. Lift & shift - ✔️✔️Lift & shift



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



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

b. Data analytics and business intelligence involve advanced algorithms for predicting future trends,
whereas Al and ML focus on processing historical data.

c. Data analytics and business intelligence use automated decision-making processes, whereas Al and
ML require human intervention and interpretation of data.

d. Data analytics and business intelligence are used only in small businesses, whereas Al and ML are
used exclusively by large corporations. - ✔️✔️Data analytics and business intelligence identify trends from
historical data, whereas Al and ML use data to make decisions for future business.



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



a. Whether all the required information is present.

b. Whether the data is up-to-date and reflects the current state of the phenomenon that is being
modeled.

c. Whether a dataset is free from duplicate values that could prevent an ML model from learning
accurately.

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

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