Google Cloud Digital Leader Part 2
問題一覧
1
Machine learning
2
Machine learning
3
Cloud Natural Language API
4
Increased risk of inaccuracy
5
To replatform virtual machines as they are.
6
Containers
7
With APIs and tools for users at different levels of expertise
8
It includes a repository of plug-and-play artificial intelligence tools
9
IoT product offering
10
Enroll in Enhanced Support
11
Contact Cloud Billing Support
12
Users expect always on-service
13
To ingest and analyze structured and unstructured data at scale, in real time
14
Choose the Standard network service tier.
15
Post comments
16
Customer survey comments
17
Refund for service interruption
18
By auditing platform privacy practices against industry standards
19
They can have new tools to innovate and optimize resource usage.
20
Google does not use customer data for advertising purposes.
21
Any system capable of a task that normally requires human cognition
22
Contact Center AI
23
Billing dashboards & Resource labels
24
Review cloud resource costs frequently, because costs change often based on use
25
Migrate the workloads to Compute Engine with a pay-as-you-go (PAYG) model.
26
One project per team
27
Share cost views with the departments to establish more accountability.
28
A shift toward OpEx
29
Away from capital expenditure toward operational expenditure
30
The cost of provisioning hardware for peak usage
31
Use Pricing Calculator
32
Review cloud resource costs frequently because costs depend on usage.
33
They could view data history to see transactions.
34
Agile infrastructure means that they only pay for what they need, when they need it.
35
3-year committed use discount for 200 CPUs
36
AI Hub
37
Agile storage scalability.
38
Start a very powerful virtual machine without using a committed use discount
39
Security Command Center
40
Database Migration Service
41
Assign the proper role to the Google Group in the project’s IAM Policy.
42
Create an incident plan to mitigate impacts
43
Phishing
44
Data is encrypted by default
45
By mapping IAM roles to job functions for each department
46
Built-in security when moving their data to the cloud
47
Restrictions on data access and sharing
48
Provide multiple layers of network security using a zero-trust model.
49
Malware attack
50
Customers expect information to be easily accessible on any device
51
Hire cybersecurity experts to further develop their data security plan.
52
Comply with data security and privacy regulations in each geographical region.
53
Grant role to the team member to access the resources as required.
54
Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.
55
Employees only have access to the cloud resources necessary for their job
56
Stability to avoid prolonged user downtime
57
They don’t have enough servers to meet the demand.
58
Migrate some of their legacy infrastructure to the cloud.
59
It stores transactional data, which can then be accessed electronically
60
Data warehouse
Google Cloud Digital Leader Part 1
Google Cloud Digital Leader Part 1
H. N. Ng. · 100問 · 2年前Google Cloud Digital Leader Part 1
Google Cloud Digital Leader Part 1
100問 • 2年前Google Cloud Digital Leader Part 3
Google Cloud Digital Leader Part 3
H. N. Ng. · 60問 · 2年前Google Cloud Digital Leader Part 3
Google Cloud Digital Leader Part 3
60問 • 2年前問題一覧
1
Machine learning
2
Machine learning
3
Cloud Natural Language API
4
Increased risk of inaccuracy
5
To replatform virtual machines as they are.
6
Containers
7
With APIs and tools for users at different levels of expertise
8
It includes a repository of plug-and-play artificial intelligence tools
9
IoT product offering
10
Enroll in Enhanced Support
11
Contact Cloud Billing Support
12
Users expect always on-service
13
To ingest and analyze structured and unstructured data at scale, in real time
14
Choose the Standard network service tier.
15
Post comments
16
Customer survey comments
17
Refund for service interruption
18
By auditing platform privacy practices against industry standards
19
They can have new tools to innovate and optimize resource usage.
20
Google does not use customer data for advertising purposes.
21
Any system capable of a task that normally requires human cognition
22
Contact Center AI
23
Billing dashboards & Resource labels
24
Review cloud resource costs frequently, because costs change often based on use
25
Migrate the workloads to Compute Engine with a pay-as-you-go (PAYG) model.
26
One project per team
27
Share cost views with the departments to establish more accountability.
28
A shift toward OpEx
29
Away from capital expenditure toward operational expenditure
30
The cost of provisioning hardware for peak usage
31
Use Pricing Calculator
32
Review cloud resource costs frequently because costs depend on usage.
33
They could view data history to see transactions.
34
Agile infrastructure means that they only pay for what they need, when they need it.
35
3-year committed use discount for 200 CPUs
36
AI Hub
37
Agile storage scalability.
38
Start a very powerful virtual machine without using a committed use discount
39
Security Command Center
40
Database Migration Service
41
Assign the proper role to the Google Group in the project’s IAM Policy.
42
Create an incident plan to mitigate impacts
43
Phishing
44
Data is encrypted by default
45
By mapping IAM roles to job functions for each department
46
Built-in security when moving their data to the cloud
47
Restrictions on data access and sharing
48
Provide multiple layers of network security using a zero-trust model.
49
Malware attack
50
Customers expect information to be easily accessible on any device
51
Hire cybersecurity experts to further develop their data security plan.
52
Comply with data security and privacy regulations in each geographical region.
53
Grant role to the team member to access the resources as required.
54
Without sufficient security measures and regular checks, unsecured third-party systems can pose a threat to data security.
55
Employees only have access to the cloud resources necessary for their job
56
Stability to avoid prolonged user downtime
57
They don’t have enough servers to meet the demand.
58
Migrate some of their legacy infrastructure to the cloud.
59
It stores transactional data, which can then be accessed electronically
60
Data warehouse