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NEW QUESTION 40
You can seamlessly join an EC2 instance to your directory domain. What connectivity do you need to be able to connect remotely to this instance?

  • A. You must have enough bandwidth to connect to the instance.
  • B. You must use MFA authentication to be able to connect to the instance remotely.
  • C. You must have the correct encryption keys to connect to the instance remotely.
  • D. You must have IP connectivity to the instance from the network you are connecting from.

Answer: D

Explanation:
You can seamlessly join an EC2 instance to your directory domain when the instance is launched using the Amazon EC2 Simple Systems Manager. If you need to manually join an EC2 instance to your domain, you must launch the instance in the proper region and security group or subnet, then join the instance to the domain. To be able to connect remotely to these instances, you must have IP connectivity to the instances from the network you are connecting from. In most cases, this requires that an Internet gateway be attached to your VPC and that the instance has a public IP address.
Reference: http://docs.aws.amazon.com/directoryservice/latest/admin-guide/join_a_directory.html

 

NEW QUESTION 41
Your company runs a customer facing event registration site This site is built with a 3-tier architecture with web and application tier servers and a MySQL database The application requires 6 web tier servers and 6 application tier servers for normal operation, but can run on a minimum of 65% server capacity and a single MySQL database. When deploying this application in a region with three availability zones (AZs) which architecture provides high availability?

  • A. A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer), and an application tier deployed across 2 AZs with 3 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB. and one RDS (Relational Database Service) instance deployed with read replicas in the other AZ.
  • B. d A web tier deployed across 2 AZs with 3 EC2 (Elastic Compute Cloud) instances in each AZ inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 2 AZs with 3 EC2 instances m each AZ inside an Auto Scaling Group behind an ELS and a Multi-AZ RDS (Relational Database Service) deployment.
  • C. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each A2 inside an Auto Scaling Group behind an ELB (elastic load balancer) and an application tier deployed across 3 AZs with 2 EC2 instances in each AZ inside an Auto Scaling Group behind an ELB and one RDS (Relational Database Service) Instance deployed with read replicas in the two other AZs.
  • D. A web tier deployed across 3 AZs with 2 EC2 (Elastic Compute Cloud) instances in each AZ Inside an Auto Scaling Group behind an ELB (elastic load balancer). And an application tier deployed across 3 AZs with 2 EC2 instances In each AZ inside an Auto Scaling Group behind an ELB. And a Multi-AZ RDS (Relational Database services) deployment.

Answer: D

 

NEW QUESTION 42
A company hosts a popular website in the AWS Cloud, A solutions architect needs to provide reports about user click behaviour in near-real time as users navigate the website.
Which solution will meet this requirement

  • A. Store the clickstream data in an Amazon S3 bucket. Order the data by timestamp Process the data with an AWS Lambda function that is subscribed to object creation events on the S3 bucket.
  • B. Forward the clickstream data to Amazon Simple Queue Service (Amazon SOS) Store the data In an Amazon ROS for MySQL DB instance. Deploy Amazon FC2 Instances to process and analyze the data
  • C. Store the clickstream data in Amazon DynamoDB. Deploy an application that runs on AWS Elastic Beanstalk to process and analyze the data.
  • D. Push the clickstream data from each session to an Amazon Kinesis data stream Analyze the dab by using Amazon Kinesis Data Analytics.

Answer: D

 

NEW QUESTION 43
You have a load balancer configured for VPC, and all back-end Amazon EC2 instances are in service. However, your web browser times out when connecting to the load balancer’s DNS name. Which options are probable causes of this behavior? Choose 2 answers

  • A. The VPC does not have a VGW configured.
  • B. The load balancer is not configured in a private subnet with a NAT instance.
  • C. The security groups or network ACLs are not property configured for web traffic.
  • D. The load balancer was not configured to use a public subnet with an Internet gateway configured
  • E. The Amazon EC2 instances do not have a dynamically allocated private IP address

Answer: C,D

 

NEW QUESTION 44
Refer to the architecture diagram above of a batch processing solution using Simple Queue Service (SQS) to set up a message queue between EC2 instances which are used as batch processors Cloud Watch monitors the number of Job requests (queued messages) and an Auto Scaling group adds or deletes batch servers automatically based on parameters set in Cloud Watch alarms. You can use this architecture to implement which of the following features in a cost effective and efficient manner?

  • A. Implement message passing between EC2 instances within a batch by exchanging messages through SQS.
  • B. Handle high priority jobs before lower priority jobs by assigning a priority metadata fie ld to SQS messages.
  • C. Reduce the overall lime for executing jobs through parallel processing by allowing a busy EC2 instance that receives a message to pass it to the next instance in a daisy-chain setup.
  • D. Coordinate number of EC2 instances with number of job requests automatically thus Improving cost effectiveness.
  • E. Implement fault tolerance against EC2 instance failure since messages would remain in SQS and worn can continue with recovery of EC2 instances implement fault tolerance against SQS failure by backing up messages to 53.

Answer: D

Explanation:
Reference:
There are cases where a large number of batch jobs may need processing, and where the jobs may need to be re-prioritized.
For example, one such case is one where there are differences between different levels of services for unpaid users versus subscriber users (such as the time until publication) in services enabling, for example, presentation fi les to be uploaded for publication from a web browser. When the user uploads a presentation file, the conversion processes, for example, for publication are performed as batch processes on the system side, and the file is published after the conversion. Is it then necessary to be able to assign the level of priority to the batch processes for each type of subscriber.
Explanation of the Cloud Solution/Pattern
A queue is used in controlling batch jobs. The queue need only be provided with priority numbers.
Job requests are controlled by the queue, and the job requests in the queue are processed by a batch server. In Cloud computing, a highly reliable queue is provided as a service, which you can use to structure a highly reliable batch system with ease. You may prepare multiple queues depending on priority levels, with job requests put into the queues depending on their priority levels, to apply prioritization to batch processes. The performance (number) of batch servers corresponding to a queue must be in accordance with the priority level thereof.
Implementation
In AWS, the queue service is the Simple Queue Service (SQS). Multiple SQS queues may be prepared to prepare queues for individual priority levels (with a priority queue and a secondary queue).
Moreover, you may also use the message Delayed Send function to delay process execution.
Use SQS to prepare multiple queues for the individual priority levels.
Place those processes to be executed immediately (job requests) in the high priority queue.
Prepare numbers of batch servers, for processing the job requests of the queues, depending on the priority levels.
Queues have a message “Delayed Send” function. You can use this to delay the time for starting a process.
Configuration

Benefits
You can increase or decrease the number of servers for processing jobs to change automatically the processing speeds of the priority queues and secondary queues.
You can handle performance and service requirements through merely increasing or decreasing the number of EC2 instances used in job processing.
Even if an EC2 were to fail, the messages (jobs) would remain in the queue service, enabling processing to be continued immediately upon recovery of the EC2 instance, producing a system that is robust to failure.
Cautions
Depending on the balance between the number of EC2 instances for performing the processes and the number of messages that are queued, there may be cases where processing in the secondary queue may be completed first, so you need to monitor the processing speeds in the primary queue and the secondary queue.

 

NEW QUESTION 45
……

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