|Exam Name||AWS Certified Solutions Architect - Professional|
|Update Date||November 27,2023|
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The AWS Certified Solutions Architect - Professional Exam is a certification exam offered by Amazon Web Services (AWS) that validates an individual's expertise in designing and deploying scalable, highly available, and fault-tolerant systems on AWS.
This exam is designed for individuals who have extensive experience in designing and deploying AWS-based applications and architectures. It covers a range of topics including advanced cloud architecture design principles, migration strategies, hybrid architectures, advanced networking, and automation and optimization.
To pass the exam, candidates must demonstrate their ability to design and deploy complex, scalable, and highly available AWS systems, as well as optimize and automate AWS deployments for cost, performance, and security.
Achieving this certification can help individuals demonstrate their skills and knowledge to potential employers and enhance their career prospects in the cloud computing industry. Additionally, this certification can help solutions architects differentiate themselves in the market and demonstrate their ability to design and manage advanced, enterprise-level solutions on the AWS platform.
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A company is deploying a new cluster for big data analytics on AWS. The cluster will runacross many Linux Amazon EC2 instances that are spread across multiple AvailabilityZones.All of the nodes in the cluster must have read and write access to common underlying filestorage. The file storage must be highly available, must be resilient, must be compatiblewith the Portable Operating System Interface (POSIX). and must accommodate high levelsof throughput.Which storage solution will meet these requirements?
A. Provision an AWS Storage Gateway file gateway NFS file share that is attached to anAmazon S3 bucket. Mount the NFS file share on each EC2 instance in the duster.
B. Provision a new Amazon Elastic File System (Amazon EFS) file system that usesGeneral Purpose performance mode. Mount the EFS file system on each EC2 instance inthe cluster.
C. Provision a new Amazon Elastic Block Store (Amazon EBS) volume that uses the io2volume type. Attach the EBS volume to all of the EC2 instances in the cluster.
D. Provision a new Amazon Elastic File System (Amazon EFS) file system that uses MaxI/O performance mode. Mount the EFS file system on each EC2 instance in the cluster.
A company deploys a new web application. As pari of the setup, the company configuresAWS WAF to log to Amazon S3 through Amazon Kinesis Data Firehose. The companydevelops an Amazon Athena query that runs once daily to return AWS WAF log data fromthe previous 24 hours. The volume of daily logs is constant. However, over time, the samequery is taking more time to run.A solutions architect needs to design a solution to prevent the query time from continuing toincrease. The solution must minimize operational overhead.Which solution will meet these requirements?
A. Create an AWS Lambda function that consolidates each day's AWS WAF logs into onelog file.
B. Reduce the amount of data scanned by configuring AWS WAF to send logs to adifferent S3 bucket each day.
C. Update the Kinesis Data Firehose configuration to partition the data in Amazon S3 bydate and time. Create external tables for Amazon Redshift. Configure Amazon RedshiftSpectrum to query the data source.
D. Modify the Kinesis Data Firehose configuration and Athena table definition to partitionthe data by date and time. Change the Athena query to view the relevant partitions.
A solutions architect has an operational workload deployed on Amazon EC2 instances inan Auto Scaling Group The VPC architecture spans two Availability Zones (AZ) with asubnet in each that the Auto Scaling group is targeting. The VPC is connected to an onpremisesenvironment and connectivity cannot be interrupted The maximum size of theAuto Scaling group is 20 instances in service. The VPC IPv4 addressing is as follows:VPCCIDR 10 0 0 0/23AZ1 subnet CIDR: 10 0 0 0724AZ2 subnet CIDR: 10.0.1 0724Since deployment, a third AZ has become available in the Region The solutions architectwants to adopt the new AZ without adding additional IPv4 address space and withoutservice downtime. Which solution will meet these requirements?
A. Update the Auto Scaling group to use the AZ2 subnet only Delete and re-create the AZ1subnet using half the previous address space Adjust the Auto Scaling group to also use the new AZI subnet When the instances are healthy, adjust the Auto Scaling group to use theAZ1 subnet only Remove the current AZ2 subnet Create a new AZ2 subnet using thesecond half of the address space from the original AZ1 subnet Create a new AZ3 subnetusing half the original AZ2 subnet address space, then update the Auto Scaling group totarget all three new subnets.
B. Terminate the EC2 instances in the AZ1 subnet Delete and re-create the AZ1 subnetusing hall the address space. Update the Auto Scaling group to use this new subnet.Repeat this for the second AZ. Define a new subnet in AZ3: then update the Auto Scalinggroup to target all three new subnets
C. Create a new VPC with the same IPv4 address space and define three subnets, withone for each AZ Update the existing Auto Scaling group to target the new subnets in thenew VPC
D. Update the Auto Scaling group to use the AZ2 subnet only Update the AZ1 subnet tohave halt the previous address space Adjust the Auto Scaling group to also use the AZ1subnet again. When the instances are healthy, adjust the Auto Seating group to use theAZ1 subnet only. Update the current AZ2 subnet and assign the second half of the addressspace from the original AZ1 subnet Create a new AZ3 subnet using half the original AZ2subnet address space, then update the Auto Scaling group to target all three new subnets
A data analytics company has an Amazon Redshift cluster that consists of several reservednodes. The cluster is experiencing unexpected bursts of usage because a team ofemployees is compiling a deep audit analysis report. The queries to generate the report arecomplex read queries and are CPU intensive.Business requirements dictate that the cluster must be able to service read and writequeries at all times. A solutions architect must devise a solution that accommodates thebursts of usage.Which solution meets these requirements MOST cost-effectively?
A. Provision an Amazon EMR cluster. Offload the complex data processing tasks.
B. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster byusing a classic resize operation when the cluster's CPU metrics in Amazon CloudWatchreach 80%.
C. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster byusing an elastic resize operation when the cluster's CPU metrics in Amazon CloudWatchreach 80%.
D. Turn on the Concurrency Scaling feature for the Amazon Redshift cluster.
An online survey company runs its application in the AWS Cloud. The application isdistributed and consists of microservices that run in an automatically scaled AmazonElastic Container Service (Amazon ECS) cluster. The ECS cluster is a target for anApplication Load Balancer (ALB). The ALB is a custom origin for an Amazon CloudFrontdistribution.The company has a survey that contains sensitive data. The sensitive data must beencrypted when it moves through the application. The application's data-handlingmicroservice is the only microservice that should be able to decrypt the data.Which solution will meet these requirements?
A. Create a symmetric AWS Key Management Service (AWS KMS) key that is dedicated tothe data-handling microservice. Create a field-level encryption profile and a configuration.Associate the KMS key and the configuration with the CloudFront cache behavior.
B. Create an RSA key pair that is dedicated to the data-handling microservice. Upload thepublic key to the CloudFront distribution. Create a field-level encryption profile and aconfiguration. Add the configuration to the CloudFront cache behavior.
C. Create a symmetric AWS Key Management Service (AWS KMS) key that is dedicated tothe data-handling microservice. Create a Lambda@Edge function. Program the function touse the KMS key to encrypt the sensitive data.
D. Create an RSA key pair that is dedicated to the data-handling microservice. Create aLambda@Edge function. Program the function to use the private key of the RSA key pair toencrypt the sensitive data.
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