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NEW QUESTION 43
A company launched a cryptocurrency mining server on a Reserved EC2 instance in us-east-1 region's private subnet that uses IPv6. Due to the financial data that the server contains, the system should be secured to prevent any unauthorized access and to meet the regulatory compliance requirements.
In this scenario, which VPC feature allows the EC2 instance to communicate to the Internet but prevents inbound traffic?

A. Egress-only Internet gateway
B. NAT Gateway
C. NAT instances
D. Internet Gateway

Answer: A
Explanation:
An egress-only Internet gateway is a horizontally scaled, redundant, and highly available VPC component that allows outbound communication over IPv6 from instances in your VPC to the Internet, and prevents the Internet from initiating an IPv6 connection with your instances.
Take note that an egress-only Internet gateway is for use with IPv6 traffic only. To enable outbound-only Internet communication over IPv4, use a NAT gateway instead.

Hence, the correct answer is: Egress-only Internet gateway.
NAT Gateway and NAT instances are incorrect because these are only applicable for IPv4 and not IPv6.
Even though these two components can enable the EC2 instance in a private subnet to communicate to the Internet and prevent inbound traffic, it is only limited to instances which are using IPv4 addresses and not IPv6. The most suitable VPC component to use is the egress-only Internet gateway.
Internet Gateway is incorrect because this is primarily used to provide Internet access to your instances in the public subnet of your VPC, and not for private subnets. However, with an Internet gateway, traffic originating from the public Internet will also be able to reach your instances. The scenario is asking you to prevent inbound access, so this is not the correct answer.
Reference:
https://docs.aws.amazon.com/vpc/latest/userguide/egress-only-internet-gateway.html Amazon VPC Overview:
https://www.youtube.com/watch?v=oIDHKeNxvQQ
Check out this Amazon VPC Cheat Sheet:
https://tutorialsdojo.com/amazon-vpc/

NEW QUESTION 44
A company uses a 100 GB Amazon RDS for Microsoft SQL Server Single-AZ DB instance in the us-east-1 Region to store customer transactions. The company needs high availability and automate recovery for the DB instance.
The companu must also run reports on the RDS database several times a year. The report process causes transactions to take longer than usual to post to the customer' accounts.
Which combination of steps will meet these requirements? (Select TWO.)

A. Modify the DB instance from a Single-AZ DB instance to a Multi-AZ deployment.
B. Migrate the database to RDS Custom.
C. Take a snapshot of the current DB instance. Restore the snapshot to a new RDS deployment in another Availability Zone.
D. Create a read replica of the DB instance in a different Availability Zone. Point All requests for reports to the read replica.
E. Use RDS Proxy to limit reporting requests to the maintenance window.

Answer: B,C

NEW QUESTION 45
A solutions architect is using Amazon S3 to design the storage architecture of a new digital media application.
The media files must be resilient to the loss of an Availability Zone Some files are accessed frequently while other files are rarely accessed in an unpredictable pattern. The solutions architect must minimize the costs of storing and retrieving the media files.
Which storage option meets these requirements?

A. S3 Standard-Infrequent Access {S3 Standard-IA)
B. S3 Standard
C. S3 One Zone-Infrequent Access (S3 One Zone-IA)
D. S3 Intelligent-Tiering

Answer: D
Explanation:
Explanation
S3 Intelligent-Tiering - Perfect use case when you don't know the frequency of access or irregular patterns of usage.
Amazon S3 offers a range of storage classes designed for different use cases. These include S3 Standard for general-purpose storage of frequently accessed data; S3 Intelligent-Tiering for data with unknown or changing access patterns; S3 Standard-Infrequent Access (S3 Standard-IA) and S3 One Zone-Infrequent Access (S3 One Zone-IA) for long-lived, but less frequently accessed data; and Amazon S3 Glacier (S3 Glacier) and Amazon S3 Glacier Deep Archive (S3 Glacier Deep Archive) for long-term archive and digital preservation. If you have data residency requirements that can't be met by an existing AWS Region, you can use the S3 Outposts storage class to store your S3 data on-premises. Amazon S3 also offers capabilities to manage your data throughout its lifecycle. Once an S3 Lifecycle policy is set, your data will automatically transfer to a different storage class without any changes to your application.

NEW QUESTION 46
An application is using a Lambda function to process complex financial data that run for 15 minutes on average. Most invocations were successfully processed. However, you noticed that there are a few terminated invocations throughout the day, which caused data discrepancy in the application.
Which of the following is the most likely cause of this issue?

A. The failed Lambda Invocations contain a ServiceException error which means that the AWS Lambda service encountered an internal error.
B. The failed Lambda functions have been running for over 15 minutes and reached the maximum execution time.
C. The concurrent execution limit has been reached.
D. The Lambda function contains a recursive code and has been running for over 15 minutes.

Answer: B
Explanation:
A Lambda function consists of code and any associated dependencies. In addition, a Lambda function also has configuration information associated with it. Initially, you specify the configuration information when you create a Lambda function. Lambda provides an API for you to update some of the configuration data.
You pay for the AWS resources that are used to run your Lambda function. To prevent your Lambda function from running indefinitely, you specify a timeout. When the specified timeout is reached, AWS Lambda terminates execution of your Lambda function. It is recommended that you set this value based on your expected execution time. The default timeout is 3 seconds and the maximum execution duration per request in AWS Lambda is 900 seconds, which is equivalent to 15 minutes.
Hence, the correct answer is the option that says: The failed Lambda functions have been running for over 15 minutes and reached the maximum execution time.

Take note that you can invoke a Lambda function synchronously either by calling the Invoke operation or by using an AWS SDK in your preferred runtime. If you anticipate a long-running Lambda function, your client may time out before function execution completes. To avoid this, update the client timeout or your SDK configuration.
The option that says: The concurrent execution limit has been reached is incorrect because, by default, the AWS Lambda limits the total concurrent executions across all functions within a given region to 1000.
By setting a concurrency limit on a function, Lambda guarantees that allocation will be applied specifically to that function, regardless of the amount of traffic processing the remaining functions. If that limit is exceeded, the function will be throttled but not terminated, which is in contrast with what is happening in the scenario.
The option that says: The Lambda function contains a recursive code and has been running for over 15 minutes is incorrect because having a recursive code in your Lambda function does not directly result to an abrupt termination of the function execution. This is a scenario wherein the function automatically calls itself until some arbitrary criteria is met. This could lead to an unintended volume of function invocations and escalated costs, but not an abrupt termination because Lambda will throttle all invocations to the function.
The option that says: The failed Lambda Invocations contain a ServiceException error which means that the AWS Lambda service encountered an internal error is incorrect because although this is a valid root cause, it is unlikely to have several ServiceException errors throughout the day unless there is an outage or disruption in AWS. Since the scenario says that the Lambda function runs for about 10 to 15 minutes, the maximum execution duration is the most likely cause of the issue and not the AWS Lambda service encountering an internal error.
References:
https://docs.aws.amazon.com/lambda/latest/dg/limits.html
https://docs.aws.amazon.com/lambda/latest/dg/resource-model.html AWS Lambda Overview - Serverless Computing in AWS: https://www.youtube.com/watch?v=bPVX1zHwAnY Check out this AWS Lambda Cheat Sheet:
https://tutorialsdojo.com/aws-lambda/

NEW QUESTION 47
A software development company has hundreds of Amazon EC2 instances with multiple Application Load Balancers (ALBs) across multiple AWS Regions. The public applications hosted in their EC2 instances are accessed on their on-premises network. The company needs to reduce the number of IP addresses that it needs to regularly whitelist on the corporate firewall device.
Which of the following approach can be used to fulfill this requirement?

A. Use AWS Global Accelerator and create multiple endpoints for all the available AWS Regions.
Associate all the private IP addresses of the EC2 instances to the corresponding endpoints.
B. Create a new Lambda function that tracks the changes in the IP addresses of all ALBs across multiple AWS Regions. Schedule the function to run and update the corporate firewall every hour using Amazon CloudWatch Events.
C. Use AWS Global Accelerator and create an endpoint group for each AWS Region. Associate the Application Load Balancer from each region to the corresponding endpoint group.
D. Launch a Network Load Balancer with an associated Elastic IP address. Set the ALBs in multiple Regions as targets.

Answer: C
Explanation:
AWS Global Accelerator is a service that improves the availability and performance of your applications with local or global users. It provides static IP addresses that act as a fixed entry point to your application endpoints in a single or multiple AWS Regions, such as your Application Load Balancers, Network Load Balancers, or Amazon EC2 instances.
When the application usage grows, the number of IP addresses and endpoints that you need to manage also increase. AWS Global Accelerator allows you to scale your network up or down. AWS Global Accelerator lets you associate regional resources, such as load balancers and EC2 instances, to two static IP addresses. You only whitelist these addresses once in your client applications, firewalls, and DNS records.

With AWS Global Accelerator, you can add or remove endpoints in the AWS Regions, run blue/green deployment, and A/B test without needing to update the IP addresses in your client applications. This is particularly useful for IoT, retail, media, automotive, and healthcare use cases in which client applications cannot be updated frequently.
If you have multiple resources in multiple regions, you can use AWS Global Accelerator to reduce the number of IP addresses. By creating an endpoint group, you can add all of your EC2 instances from a single region in that group. You can add additional endpoint groups for instances in other regions. After it, you can then associate the appropriate ALB endpoints to each of your endpoint groups. The created accelerator would have two static IP addresses that you can use to create a security rule in your firewall device. Instead of regularly adding the Amazon EC2 IP addresses in your firewall, you can use the static IP addresses of AWS Global Accelerator to automate the process and eliminate this repetitive task.
Hence, the correct answer is: Use AWS Global Accelerator and create an endpoint group for each AWS Region. Associate the Application Load Balancer from each region to the corresponding endpoint group.
The option that says: Use AWS Global Accelerator and create multiple endpoints for all the available AWS Regions. Associate all the private IP addresses of the EC2 instances to the corresponding endpoints is incorrect. It is better to create one endpoint group instead of multiple endpoints. Moreover, you have to associate the ALBs in AWS Global Accelerator and not the underlying EC2 instances.
The option that says: Create a new Lambda function that tracks the changes in the IP addresses of all ALBs across multiple AWS Regions. Schedule the function to run and update the corporate firewall every hour using Amazon CloudWatch Events is incorrect because this approach entails a lot of administrative overhead and takes a significant amount of time to implement. Using a custom Lambda function is actually not necessary since you can simply use AWS Global Accelerator to achieve this requirement.
The option that says: Launch a Network Load Balancer with an associated Elastic IP address. Set the ALBs in multiple Regions as targets is incorrect. Although you can allocate an Elastic IP address to your ELB, it is not suitable to route traffic to your ALBs across multiple Regions. You have to use AWS Global Accelerator instead.
References:
https://docs.aws.amazon.com/global-accelerator/latest/dg/about-endpoint-groups.html
https://aws.amazon.com/global-accelerator/faqs/
https://docs.aws.amazon.com/global-accelerator/latest/dg/introduction-how-it-works.html Check out this AWS Global Accelerator Cheat Sheet:
https://tutorialsdojo.com/aws-global-accelerator/

NEW QUESTION 48
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