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NEW QUESTION 28
A company has a large on-premises Apache Hadoop cluster with a 20 PB HDFS database. The cluster is growing every quarter by roughly 200 instances and 1 PB. The company's goals are to enable resiliency for its Hadoop data, limit the impact of losing cluster nodes, and significantly reduce costs. The current cluster runs
24/7 and supports a variety of analysis workloads, including interactive queries and batch processing.
Which solution would meet these requirements with the LEAST expense and down time?
- A. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster of similar size and configuration to the current cluster. Store the data on EMRFS.
Minimize costs by using Reserved Instances. As the workload grows each quarter, purchase additional Reserved Instances and add to the cluster. - B. Use AWS Direct Connect to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
- C. Use AWS Snowball to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workloads based on historical data from the on-premises cluster. Store the on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
- D. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
Answer: C
NEW QUESTION 29
A company has an Amazon VPC that is divided into a public subnet and a pnvate subnet. A web application runs in Amazon VPC. and each subnet has its own NACL The public subnet has a CIDR of 10.0.0 0/24 An Application Load Balancer is deployed to the public subnet The private subnet has a CIDR of 10.0.1.0/24. Amazon EC2 instances that run a web server on port 80 are launched into the private subnet Onty network traffic that is required for the Application Load Balancer to access the web application can be allowed to travel between the public and private subnets What collection of rules should be written to ensure that the private subnet's NACL meets the requirement? (Select TWO.)
- A. An inbound rule for port 80 from source 0.0 0.0/0
- B. An inbound rule for port 80 from source 10.0 0 0/24
- C. An outbound rule for ports 1024 through 65535 to destination 10.0.0.0/24
- D. An outbound rule for port 80 to destination 10.0.0.0/24
- E. An outbound rule for port 80 to destination 0.0.0.0/0
Answer: B,C
Explanation:
Ephemeral ports are not covered in the syllabus so be careful that you don't confuse day to day best practise with what is required for the exam. Link to an explanation on Ephemeral ports here. https://acloud.guru/forums/aws-certified-solutions-architect-associate/discussion/-KUbcwo4lXefMl7janaK/network-acls-ephemeral-ports
NEW QUESTION 30
You must architect the migration of a web application to AWS. The application consists of Linux web servers running a custom web server. You are required to save the logs generated from the application to a durable location.
What options could you select to migrate the application to AWS? (Choose 2)
- A. Use VM import/Export to import a virtual machine image of the server into AWS as an AMI. Create an Amazon Elastic Compute Cloud (EC2) instance from AMI, and install and configure the Amazon CloudWatch Logs agent. Create a new AMI from the instance. Create an AWS Elastic Beanstalk application using the AMI platform and the new AMI.
- B. Create a Dockerfile for the application. Create an AWS Elastic Beanstalk application using the Docker platform and the Dockerfile. Enable logging the Docker configuration to automatically publish the application logs. Enable log file rotation to Amazon S3.
- C. Create an AWS Elastic Beanstalk application using the custom web server platform. Specify the web server executable and the application project and source files. Enable log file rotation to Amazon Simple Storage Service (S3).
- D. Create Dockerfile for the application. Create an AWS OpsWorks stack consisting of a custom layer.
Create custom recipes to install Docker and to deploy your Docker container using the Dockerfile.
Create customer recipes to install and configure the application to publish the logs to Amazon CloudWatch Logs. - E. Create Dockerfile for the application. Create an AWS OpsWorks stack consisting of a Docker layer that uses the Dockerfile. Create custom recipes to install and configure Amazon Kineses to publish the logs into Amazon CloudWatch.
Answer: B,C
NEW QUESTION 31
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