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NEW QUESTION: 1
You have an Azure subscription that contains the resources shown in the following table.
You need to deploy a load-balancing solution for two Azure web apps named App1 and App2 to meet the following requirements:
* App1 must support command injection protection.
* App2 must be able to use a static public IP address.
* App1 must have a Service Level Agreement (SLA) of 99.99 percent.
Which resource should you use as the load-balancing solution for each app? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: AGW1
Azure Application Gateway offers a web application firewall (WAF) that provides centralized protection of your web applications from common exploits and vulnerabilities. Web applications are increasingly targeted by malicious attacks that exploit commonly known vulnerabilities. SQL injection and cross-site scripting are among the most common attacks.
Box 2: ELB1
Public IP addresses allow Internet resources to communicate inbound to Azure resources. Public IP addresses also enable Azure resources to communicate outbound to Internet and public-facing Azure services with an IP address assigned to the resource.
Note: In Azure Resource Manager, a public IP address is a resource that has its own properties. Some of the resources you can associate a public IP address resource with are:
* Virtual machine network interfaces
* Internet-facing load balancers
* VPN gateways
* Application gateways
References:
https://docs.microsoft.com/en-us/azure/application-gateway/waf-overview
https://docs.microsoft.com/en-us/azure/virtual-network/virtual-network-ip-addresses-overview-arm
NEW QUESTION: 2
A Data Engineer needs to build a model using a dataset containing customer credit card information.
How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?
A. Use an Amazon SageMaker launch configuration to encrypt the data once it is copied to the SageMaker instance in a VPC. Use the SageMaker principal component analysis (PCA) algorithm to reduce the length of the credit card numbers.
B. Use an IAM policy to encrypt the data on the Amazon S3 bucket and Amazon Kinesis to automatically discard credit card numbers and insert fake credit card numbers.
C. Use AWS KMS to encrypt the data on Amazon S3 and Amazon SageMaker, and redact the credit card numbers from the customer data with AWS Glue.
D. Use a custom encryption algorithm to encrypt the data and store the data on an Amazon SageMaker instance in a VPC. Use the SageMaker DeepAR algorithm to randomize the credit card numbers.
Answer: C
Explanation:
https://docs.aws.amazon.com/sagemaker/latest/dg/pca.html
NEW QUESTION: 3
A. Option D
B. Option B
C. Option C
D. Option A
Answer: A,B