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NEW QUESTION 43
A company hosts multiple applications in their VPC. While monitoring the system, they noticed that multiple port scans are coming in from a specific IP address block that is trying to connect to several AWS resources inside their VPC. The internal security team has requested that all offending IP addresses be denied for the next 24 hours for security purposes.
Which of the following is the best method to quickly and temporarily deny access from the specified IP addresses?
- A. Modify the Network Access Control List associated with all public subnets in the VPC to deny access from the IP Address block.
- B. Configure the firewall in the operating system of the EC2 instances to deny access from the IP address block.
- C. Add a rule in the Security Group of the EC2 instances to deny access from the IP Address block.
- D. Create a policy in IAM to deny access from the IP Address block.
To control the traffic coming in and out of your VPC network, you can use the network access control list (ACL). It is an optional layer of security for your VPC that acts as a firewall for controlling traffic in and out of one or more subnets. This is the best solution among other options as you can easily add and remove the restriction in a matter of minutes.
Creating a policy in IAM to deny access from the IP Address block is incorrect as an IAM policy does not control the inbound and outbound traffic of your VPC.
Adding a rule in the Security Group of the EC2 instances to deny access from the IP Address block is incorrect. Although a Security Group acts as a firewall, it will only control both inbound and outbound traffic at the instance level and not on the whole VPC.
Configuring the firewall in the operating system of the EC2 instances to deny access from the IP address block is incorrect because adding a firewall in the underlying operating system of the EC2 instance is not enough; the attacker can just connect to other AWS resources since the network access control list still allows them to do so.
Amazon VPC Overview:
Check out this Amazon VPC Cheat Sheet:
NEW QUESTION 44
A large telecommunications company needs to run analytics against all combined log files from the Application Load Balancer as part of the regulatory requirements.
Which AWS services can be used together to collect logs and then easily perform log analysis?
- A. Amazon S3 for storing the ELB log files and an EC2 instance for analyzing the log files using a custom-built application.
- B. Amazon EC2 with EBS volumes for storing and analyzing the log files.
- C. Amazon DynamoDB for storing and EC2 for analyzing the logs.
- D. Amazon S3 for storing ELB log files and Amazon EMR for analyzing the log files.
In this scenario, it is best to use a combination of Amazon S3 and Amazon EMR: Amazon S3 for storing ELB log files and Amazon EMR for analyzing the log files. Access logging in the ELB is stored in Amazon S3 which means that the following are valid options:
– Amazon S3 for storing the ELB log files and an EC2 instance for analyzing the log files using a custom- built application.
– Amazon S3 for storing ELB log files and Amazon EMR for analyzing the log files.
However, log analysis can be automatically provided by Amazon EMR, which is more economical than building a custom-built log analysis application and hosting it in EC2. Hence, the option that says:
Amazon S3 for storing ELB log files and Amazon EMR for analyzing the log files is the best answer between the two.
Access logging is an optional feature of Elastic Load Balancing that is disabled by default. After you enable access logging for your load balancer, Elastic Load Balancing captures the logs and stores them in the Amazon S3 bucket that you specify as compressed files. You can disable access logging at any time.
Amazon EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective to process vast amounts of data across dynamically scalable Amazon EC2 instances. It securely and reliably handles a broad set of big data use cases, including log analysis, web indexing, data transformations (ETL), machine learning, financial analysis, scientific simulation, and bioinformatics. You can also run other popular distributed frameworks such as Apache Spark, HBase, Presto, and Flink in Amazon EMR, and interact with data in other AWS data stores such as Amazon S3 and Amazon DynamoDB.
The option that says: Amazon DynamoDB for storing and EC2 for analyzing the logs is incorrect because DynamoDB is a noSQL database solution of AWS. It would be inefficient to store logs in DynamoDB while using EC2 to analyze them.
The option that says: Amazon EC2 with EBS volumes for storing and analyzing the log files is incorrect because using EC2 with EBS would be costly, and EBS might not provide the most durable storage for your logs, unlike S3.
The option that says: Amazon S3 for storing the ELB log files and an EC2 instance for analyzing the log files using a custom-built application is incorrect because using EC2 to analyze logs would be inefficient and expensive since you will have to program the analyzer yourself. References:
https://docs.aws.amazon.com/elasticloadbalancing/latest/application/load-balancer-access-logs.html Check out this Amazon EMR Cheat Sheet:
Check out this AWS Elastic Load Balancing (ELB) Cheat Sheet:
NEW QUESTION 45
A company runs its Infrastructure on AWS and has a registered base of 700.000 users for res document management application The company intends to create a product that converts large pdf files to jpg Imago files. The .pdf files average 5 MB in size. The company needs to store the original files and the converted files.
A solutions architect must design a scalable solution to accommodate demand that will grow rapidly over lime.
Which solution meets these requirements MOST cost-effectively?
- A. Save the pdf files to Amazon DynamoDB. Use the DynamoDB Streams feature to invoke an AWS Lambda function to convert the files to jpg format and store them hack in DynamoDB
- B. Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances, Amazon Elastic File System (Amazon EPS) storage, and an Auto Scaling group. Use a program in the EC2 instances to convert the file to jpg format Save the pdf files and the jpg files in the EBS store.
- C. Upload the pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances.
Amazon Elastic Block Store (Amazon EBS) storage and an Auto Scaling group. Use a program In the EC2 instances to convert the files to jpg format Save the .pdf files and the .jpg files In the EBS store.
- D. Save the pdf files to Amazon S3 Configure an S3 PUT event to invoke an AWS Lambda function to convert the files to jpg format and store them back in Amazon S3
NEW QUESTION 46
A new employee has joined a company as a deployment engineer. The deployment engineer will be using AWS CloudFormation templates to create multiple AWS resources. A solutions architect wants the deployment engineer to perform job activities while following the principle of least privilege.
Which steps should the solutions architect do in conjunction to reach this goal? (Select two.)
- A. Have the deployment engineer use AWS account roof user credentials for performing AWS CloudFormation stack operations.
- B. Create an IAM role for the deployment engineer to explicitly define the permissions specific to the AWS CloudFormation stack and launch stacks using Dial IAM role.
- C. Create a new IAM User for the deployment engineer and add the IAM user to a group that has an IAM policy that allows AWS CloudFormation actions only.
- D. Create a new IAM user for the deployment engineer and add the IAM user to a group that has the Administrate/Access IAM policy attached.
- E. Create a new IAM user for the deployment engineer and add the IAM user to a group that has the PowerUsers IAM policy attached.
NEW QUESTION 47
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