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SAA-C02 Exam Dumps - AWS Certified Solutions Architect - Associate (SAA-C03)

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Question # 17

A company has a three-tier application image sharing. The application uses an Amazon EC2 instance for the front-end layer, another EC2 instance tor the application layer, and a third EC2 instance for a MySQL database A solutions architect must design a scalable and nighty available solution mat requires the least amount of change to the application.

Which solution meets these requirement?

Use Amazon S3 to host the front-end layer. Use AWS Lambda functions for the application layer. Move the database to an Amazon DynamoDB table Use Amazon S3 to store and service users' images.

Use toad-balanced Multi-AZ AWS Elastic Beanstalk environments for the front-end layer and the application layer. Move the database to an Amazon RDS OB instance with multiple read replicas to serve users' images.

Use Amazon S3 to host the front-end layer. Use a fleet of EC2 instances in an Auto Scaling group for the application layer. Move the database to a memory optimized instance type to store and serve users' images.

Use toad-balanced Multi-AZ AWS Elastic Beanstark environments for tie front-end layer and the application layer. Move the database to an Amazon ROS Multi-AZ DB instance Use Amazon S3 to store and serve users' images.

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Question # 18

A company hosts its website on AWS To address the highly variable demand the company has implemented Amazon EC2 Auto Scaling Management is concerned that the company Is over-prows toning its infrastructure, especially at the front end of the three-tier application. A solutions architect needs to ensure costs are optimized without impacting performance.

What should the solutions architect do to accomplish this?

Use Auto Scaling with Reserved Instances

Use Auto Scaling with a scheduled scaling policy

Use Auto Scaling with the suspend-resume feature.

Use Auto Scaling with a target tracking scaling policy

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Question # 19

A company runs a three-tier web application in a VPC across multiple Availability Zones Amazon EC2 instances run in an Auto Scaling group tor the application tier

The company needs to make an automated scaling plan that will analyze each resource's daily and weekly historical workload trends The configuration must scale resources appropriately according to both the forecast and live changes in utilization

Which scaling strategy should a solutions architect recommend to meet these requirements?

Implement dynamic scaling with step scaling based on average CPU utilization from the EC2 instances

Enable predictive scaling to forecast and scale Configure dynamic scaling with target tracking

Create an automated scheduled scaling action based on the traffic patterns of the web application

Set up a simple scaling policy Increase the cool down period based on the EC2 instance start up time

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Question # 20

A company is using AWS to design a web application that will process insurance quotes Users will request quotes from the application Quotes must be separated by quote type, must be responded to within 24 hours, and must not get lost The solution must maximize operational efficiency and must minimize maintenance. Which solution meets these requirements?

Create multiple Amazon Kinesis data streams based on the quote type Configure the web application to send messages to the proper data stream Configure each backend group of application servers to use the Kinesis Client Library (KCL) to pool messages from its own data stream

Create an AWS Lambda function and an Amazon Simple Notification Service (Amazon SNS) topic for each quote type Subscribe the Lambda function to its associated SNS topic Configure the application to publish requests tot quotes to the appropriate SNS topic

Create a single Amazon Simple Notification Service (Amazon SNS) topic Subscribe Amazon Simple Queue Service (Amazon SQS) queues to the SNS topic Configure SNS message filtering to publish messages to the proper SQS queue based on the quote type Configure each backend application server to use its own SQS queue

Create multiple Amazon Kinesis Data Firehose delivery streams based on the quote type to deliver data streams to an Amazon Elasucsearch Service (Amazon ES) cluster Configure the application to send messages to the proper delivery stream Configure each backend group of application servers to search for the messages from Amazon ES and process them accordingly

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Question # 21

A company runs a global web application on Amazon EC2 instances behind an Application Load Balancer The application stores data in Amazon Aurora. The company needs to create a disaster recovery solution and can tolerate up to 30 minutes of downtime and potential data loss. The solution does not need to handle the load when the primary infrastructure is healthy

What should a solutions architect do to meet these requirements?

Deploy the application with the required infrastructure elements in place Use Amazon Route 53 to configure active-passive failover Create an Aurora Replica in a second AWS Region

Host a scaled-down deployment of the application in a second AWS Region Use Amazon Route 53 to configure active-active failover Create an Aurora Replica in the second Region

Replicate the primary infrastructure in a second AWS Region Use Amazon Route 53 to configure active-active failover Create an Aurora database that is restored from the latest snapshot

Back up data with AWS Backup Use the backup to create the required infrastructure in a second AWS Region Use Amazon Route 53 to configure active-passive failover Create an Aurora second primary instance in the second Region

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Question # 22

A company hosts an online shopping application that stores all orders in an Amazon RDS for PostgreSQL Single-AZ DB instance Management wants to eliminate single points of failure and has asked a solutions architect to recommend an approach to minimize database downtime without requiring any changes to the application code

Which solution meets these requirements?

Convert the existing database instance to a Multi-AZ deployment by modifying the database instance and specifying the Multi-AZ option

Create a new RDS Multi-AZ deployment Take a snapshot of the current RDS instance and restore the new Multi-AZ deployment with the snapshot

Create a read-only replica of the PostgreSQL database m another Availability Zone Use Amazon Route 53 weighted record sets to distribute requests across the databases

Place the RDS for PostgreSQL database in an Amazon EC2 Auto Scaling group with a minimum group size of two Use Amazon Route 53 weighted record sets to distribute requests across instances

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Question # 23

A company is migrating Us applications to AWS Currently applications that run on premises generate hundreds of terabytes of data that is stored on a shared file system The company Is running an analytics application in the cloud that runs hourly to generate Insights from this data

The company needs a solution to handle the ongoing data transfer between the on-premises shared file system and Amazon S3 The solution also must be able to handle occasional interruptions m internet connectivity

Which solution should the company use for the data transfer to meet these requirements?

AWS DataSync

AWS Migration Hub

AWS Snowball Edge Storage Optimized

AWS Transfer for SFTP

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Question # 24

A company is building a media sharing application and decides to use Amazon S3 for storage When a media file is uploaded, the company starts a multi-step process to create thumbnails identity objects in the images transcode videos into standard formats and resolutions and extract and store the metadata to an Amazon DynamoDB table The metadata is used for searching and navigation

The amount of traffic is variable The solution must be able to scale to handle spikes in load without unnecessary expenses

What should a solutions architect recommend to support this workload''

Build the processing into the website or mobile app used to upload the content to Amazon S3 Save the required data to the DynamoDB table when the objects are uploaded

Trigger AWS Step Functions when an object is stored in the S3 bucket Have the Step Functions perform the steps needed to process the object and then write the metadata to the DynamoDB table

Trigger an AWS Lambda function when an object is stored in the S3 bucket Have the Lambda function start AWS Batch to perform the steps to process the object Place the object data m the DynamoDB table when complete

Trigger an AWS Lambda function to store an initial entry in the DynamoDB table when an object is uploaded to Amazon S3 Use a program running on an Amazon EC2 instance in an Auto Scaling group to poll the index for unprocessed items, and use the program to perform the processing

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