Google Cloud Digital Leader - After
March 15th, 2024 update Test Questions
with 100% Correct Verified Answers
An organization wants to compare the total cost of ownership (TCO) of operating in
the cloud versus on-premises. What on-premises costs should be compared to cloud
operating costs?
A) The cost of on-premises operational overhead
B) The initial investment cost of on-premises hardware
C) The maintenance cost of replacing on-premises hardware
D) The cost of on-premises hardware investment, operational overhead, and missed-
opportunity costs - Answer The cost of on-premises hardware investment, operational
overhead, and missed-opportunity costs
,D is correct because it is important to consider all of these factors when calculating
a total cost of ownership to compare with operating in the cloud.
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 - Answer 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 - Answer 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 - Answer 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 - Answer 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. -
Answer 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) - Answer 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 - Answer 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 - Answer 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.
March 15th, 2024 update Test Questions
with 100% Correct Verified Answers
An organization wants to compare the total cost of ownership (TCO) of operating in
the cloud versus on-premises. What on-premises costs should be compared to cloud
operating costs?
A) The cost of on-premises operational overhead
B) The initial investment cost of on-premises hardware
C) The maintenance cost of replacing on-premises hardware
D) The cost of on-premises hardware investment, operational overhead, and missed-
opportunity costs - Answer The cost of on-premises hardware investment, operational
overhead, and missed-opportunity costs
,D is correct because it is important to consider all of these factors when calculating
a total cost of ownership to compare with operating in the cloud.
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 - Answer 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 - Answer 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 - Answer 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 - Answer 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. -
Answer 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) - Answer 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 - Answer 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 - Answer 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.
