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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q60-Q65):

NEW QUESTION # 60
Your department creates regular analytics reports from your company's log files. All log data is collected in Amazon S3 and processed by daily Amazon Elastic MapReduce (EMR) jobs that generate daily PDF reports and aggregated tables in .csv format for an Amazon Redshift data warehouse.
Your CFO requests that you optimize the cost structure for this system.
Which of the following alternatives will lower costs without compromising average performance of the system or data integrity for the raw data?

A. Use reduced redundancy storage (RRS) for all data In S3.
Use a combination of Spot Instances and Reserved Instances for Amazon EMR jobs.
Use Reserved Instances for Amazon Redshift.
B. Use reduced redundancy storage (RRS) for PDF and .csv data in S3.
Add Spot Instances to EMR jobs.
Use Spot Instances for Amazon Redshift.
C. Use reduced redundancy storage (RRS) for all data in Amazon S3.
Add Spot Instances to Amazon EMR jobs.
Use Reserved Instances for Amazon Redshift.
D. Use reduced redundancy storage (RRS) for PDF and .csv data In Amazon S3.
Add Spot Instances to Amazon EMR jobs.
Use Reserved Instances for Amazon Redshift.

Answer: A

Explanation:
Combination of the Spot and reserved with guarantee performance and help reduce cost. Also, RRS would reduce cost and guarantee data integrity, which is different from data durability.

NEW QUESTION # 61
An organization has a write-intensive mobile application that uses Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. The application has scaled well, however, costs have increased exponentially because of higher than anticipated Lambda costs. The application's use is unpredictable, but there has been a steady 20% increase in utilization every month.
While monitoring the current Lambda functions, the Solutions Architect notices that the execution- time averages 4.5 minutes. Most of the wait time is the result of a high-latency network call to a 3- TB MySQL database server that is on-premises. A VPN is used to connect to the VPC, so the Lambda functions have been configured with a five-minute timeout.
How can the Solutions Architect reduce the cost of the current architecture?

A. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.
Enable API caching on API Gateway to reduce the number of Lambda function invocations.
Continue to monitor the AWS Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.
Enable Auto Scaling in DynamoDB.
B. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.
Enable local caching in the mobile application to reduce the Lambda function invocation calls.
Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.
Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.
C. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL.
Enable caching of the Amazon API Gateway results in Amazon CloudFront to reduce the number of Lambda function invocations.
Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time.
Enable DynamoDB Accelerator for frequently accessed records, and enable the DynamoDB Auto Scaling feature.
D. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database.
Cache the API Gateway results to Amazon CloudFront.
Use Amazon EC2 Reserved Instances instead of Lambda.
Enable Auto Scaling on EC2, and use Spot Instances during peak times.
Enable DynamoDB Auto Scaling to manage target utilization.

Answer: B

NEW QUESTION # 62
An online e-commerce business is running a workload on AWS. The application architecture includes a web tier, an application tier for business logic, and a database tier for user and transactional data management.
The database server has a 100 GB memory requirement. The business requires cost-efficient disaster recovery for the application with an RTO of 5 minutes and an RPO of 1 hour. The business also has a regulatory for out-of region disaster recovery with a minimum distance between the primary and alternate sites of 250 miles.
Which of the following options can the Solutions Architect design to create a comprehensive solution for this customer that meets the disaster recovery requirements?

A. Employ a pilot light environment in which the primary database is configured with mirroring to build a standby database on m4.large in the alternate region. Use AWS CloudFormation to instantiate the web servers, application servers and load balancers in case of a disaster to bring the application up in the alternate region. Vertically resize the database to meet the full production demands, and use Amazon Route 53 to switch traffic to the alternate region.
B. Back up the application and database data frequently and copy them to Amazon S3. Replicate the backups using S3 cross-region replication, and use AWS CloudFormation to instantiate infrastructure for disaster recovery and restore data from Amazon S3.
C. Employ a multi-region solution with fully functional web, application, and database tiers in both regions with equivalent capacity. Activate the primary database in one region only and the standby database in the other region. Use Amazon Route 53 to automatically switch traffic from one region to another using health check routing policies.
D. Use a scaled-down version of the fully functional production environment in the alternate region that includes one instance of the web server, one instance of the application server, and a replicated instance of the database server in standby mode. Place the web and the application tiers in an Auto Scaling behind a load balancer, which can automatically scale when the load arrives to the application.
Use Amazon Route 53 to switch traffic to the alternate region.

Answer: B

NEW QUESTION # 63
A solutions architect is evaluating the reliability of a recently migrated application running on AWS. The front end is hosted on Amazon S3 and accelerated by Amazon CloudFront. The application layer is running in a stateless Docker container on an Amazon EC2 On-Demand Instance with an Elastic IP address. The storage layer is a MongoDB database running on an EC2 Reserved Instance in the same Availability Zone as the application layer.
Which combination of steps should the solutions architect take to eliminate single points of failure with minimal application code changes? (Select TWO.)

A. Migrate the storage layer to Amazon DocumentD8 (with MongoDB compatibility).
B. Create an Application Load Balancer and move the storage layer to an EC2 Auto Scaling group.
C. Migrate the storage layer to Amazon DynamoD8.
D. Create an Application Load Balancer and migrate the Docker container to AWS Fargate.
E. Create a REST API in Amazon API Gateway and use AWS Lambda functions as Ihe application layer.

Answer: A,D

NEW QUESTION # 64
A client notices that their engineers often make mistakes when creating Amazon SQS queues for their
backend system.
Which action should a Solutions Architect recommend to improve this process?

A. Use AWS CloudFormation Templates to manage the Amazon SQS queue creation.
B. Use AWS Elastic Beanstalk to automatically create the Amazon SQS queues.
C. Use the AWS CLI to create queues using AWS IAM Access Keys.
D. Write a script to create the Amazon SQS queue using AWS Lambda.

Answer: A

Explanation:
Explanation/Reference:
Reference https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-
create-queue.html#create-queue-cloudformation

NEW QUESTION # 65
......

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