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NEW QUESTION: 1
A company wants to host a global web application on AWS. It has the following design requirements.
* The access pattern must allow for latching data from multiple data sources.
* Minimize the of API calls.
* Keep page load times to within 50 ms.
* Provide user authentication and authorization and manage data access for different user personas (for example, administrator, manager, or engineer).
* Use a server less design
Which set of strategies should a solution architect use?
A. Use AWS Direct Connect with Amazon S3 to host the web application. Use Amazon API Gateway to build the application APIs. Use AWS Lambda for custom authentication and authorization. Authorize data access by leveraging IAM roles.
B. Use Amazon CloudFront with AWS WAF to host the web application. Use AWS AppSync to build the application APIs. Use IAM groups for each user persona Authorize data access by leveraging IAM group in AWS AppSync resolvers.
C. Use Amazon CloudFront with Amazon S3 to host the web application. Use AWS AppSync to build the application APIs. Use Amazon Cognito groups for each user persona Authorize data access by leveraging Amazon Cognito groups in AWS AppSync resolvers.
D. Use Amazon CloudFront with Amazon S3 to host the web application Use Amazon API gateway to build the application APIs with AWS Lambda for the custom authorizer Authorize data access by performing user lookup in Simple AD.
Answer: A

NEW QUESTION: 2
You create an Azure web app named WebApp1. WebApp1 has the autoscale settings shown in the following exhibit.


The scale out and scale in rules are configured to have a duration of 10 minutes and a cool down time of five minutes.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: one instance
Refer to scaling condition provided in the question, August 8, 2018 is outside the schedule of the scale condition 1, and Default instance count is 1.
Box 2: two instances
The default instance count is important because autoscale scales your service to that count when metrics are not available. Therefore, select a default instance count that's safe for your workloads.
The Default instance count of scale condition 1 is 4, and the Scale in rule decreases the count with 1.
So initial instance count before scale in condition met = 4
CPU utilization was at 15% for 60 mins so after first 10 mins ( The scale out and scale in rules are configured to have a duration of 10 minutes )instance count reduces by 1 hence after first 10 mins instance count is 4-1=3
Now cool down period is 5 mins , after first 15 mins instance count is 3 .
After next 15 mins , instance count will be 3-1=2.
After next 15 mins , instance count will be =2 because minimum instance count must be 2 , it can't get reduced beyond 2.
So after 60 mins instance count will be at 2.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/platform/autoscale-best-practices

NEW QUESTION: 3
展示を参照してください。アドレス192.168.2.167は何を表していますか?

A. ファイルstartup-configの転送元のルーター
B. ファイルrouter-confgの転送元のTFTPサーバー
C. ファイルstartup-configの転送先のルーター
D. ファイルrouter-confgの転送先のルーター
E. ファイルstartup-configの転送元のTFTPサーバー
F. ファイルrouter-confgの転送先のTFTPサーバー
Answer: F