A company wants to replace its call center system with a solution built using AWS managed services. The company call center would like the solution to receive calls, create contact flows, and scale to handle growth projections. The call center would also like the solution to use deep learning capabilities to recognize the intent of the callers and handle basic tasks, reducing the need to speak to an agent. The solution should also be able to query business applications and provide relevant information back to callers as requested.
Which services should the Solutions Architect use to build this solution? (Choose three.)
A. Amazon Rekognition to identify who is calling.
B. Amazon Connect to create a cloud-based contact center.
C. Amazon Alexa for Business to build conversational interfaces.
D. AWS Lambda to integrate with internal systems.
E. Amazon Lex to recognize the intent of the caller.
F. Amazon SQS to add incoming callers to a queue.
A company had a tight deadline to migrate its on-premises environment to AWS. It moved over Microsoft SQL Servers and Microsoft Windows Servers using the virtual machine import/export service and rebuild other applications native to the cloud. The team created both Amazon EC2 databases and used Amazon RDS. Each team in the company was responsible for migrating their applications, and they have created individual accounts for isolation of resources. The company did not have much time to consider costs, but now it would like suggestions on reducing its AWS spend.
Which steps should a Solutions Architect take to reduce costs?
A. Enable AWS Business Support and review AWS Trusted Advisor's cost checks. Create Amazon EC2 Auto Scaling groups for applications that experience fluctuating demand. Save AWS Simple Monthly Calculator reports in Amazon S3 for trend analysis. Create a master account under Organizations and have teams join for consolidated billing.
B. Enable Cost Explorer and AWS Business Support. Reserve Amazon EC2 and Amazon RDS DB instances. Use Amazon CloudWatch and AWS Trusted Advisor for monitoring and to receive cost-savings suggestions. Create a master account under Organizations and have teams join for consolidated billing.
C. Create an AWS Lambda function that changes the instance size based on Amazon CloudWatch alarms. Reserve instances based on AWS Simple Monthly Calculator suggestions. Have an AWS Well-Architected framework review and apply recommendations. Create a master account under Organizations and have teams join for consolidated billing.
D. Create a budget and monitor for costs exceeding the budget. Create Amazon EC2 Auto Scaling groups for applications that experience fluctuating demand. Create an AWS Lambda function that changes instance sizes based on Amazon CloudWatch alarms. Have each team upload their bill to an Amazon S3 bucket for analysis of team spending. Use Spot Instances on nightly batch processing jobs.
A large global financial services company has multiple business units. The company wants to allow Developers to try new services, but there are multiple compliance requirements for different workloads. The Security team is concerned about the access strategy for on-premises and AWS implementations. They would like to enforce governance for AWS services used by business teams for regulatory workloads, including Payment Card Industry (PCI) requirements.
Which solution will address the Security team's concerns and allow the Developers to try new services?
A. Implement a strong identity and access management model that includes users, groups, and roles in various AWS accounts. Ensure that centralized AWS CloudTrail logging is enabled to detect anomalies. Build automation with AWS Lambda to tear down unapproved AWS resources for governance.
B. Build a multi-account strategy based on business units, environments, and specific regulatory requirements. Implement SAML-based federation across all AWS accounts with an on-premises identity store. Use AWS Organizations and build organizational units (OUs) structure based on regulations and service governance. Implement service control policies across OUs.
C. Implement a multi-account strategy based on business units, environments, and specific regulatory requirements. Ensure that only PCI-compliant services are approved for use in the accounts. Build IAM policies to give access to only PCI- compliant services for governance.
D. Build one AWS account for the company for strong security controls. Ensure that all the service limits are raised to meet company scalability requirements. Implement SAML federation with an on-premises identity store, and ensure that only approved services are used in the account.
A company has an application behind a load balancer with enough Amazon EC2 instances to satisfy peak demand. Scripts and third-party deployment solutions are used to configure EC2 instances when demand increases or an instance fails. The team must periodically evaluate the utilization of the instance types to ensure that the correct sizes are deployed.
How can this workload be optimized to meet these requirements?
A. Use CloudFormer to create AWS CloudFormation stacks from the current resources. Deploy that stack by using AWS CloudFormation in the same region. Use Amazon CloudWatch alarms to send notifications about underutilized resources to provide cost-savings suggestions.
B. Create an Auto Scaling group to scale the instances, and use AWS CodeDeploy to perform the configuration. Change from a load balancer to an Application Load Balancer. Purchase a third-party product that provides suggestions for cost savings on AWS resources.
C. Deploy the application by using AWS Elastic Beanstalk with default options. Register for an AWS Support Developer plan. Review the instance usage for the application by using Amazon CloudWatch, and identify less expensive instances that can handle the load. Hold monthly meetings to review new instance types and determine whether Reserved Instances should be purchased.
D. Deploy the application as a Docker image by using Amazon ECS. Set up Amazon EC2 Auto Scaling and Amazon ECS scaling. Register for AWS Business Support and use Trusted Advisor checks to provide suggestions on cost savings.
A Development team has created a series of AWS CloudFormation templates to help deploy services. They created a template for a network/virtual private cloud (VPC) stack, a database stack, a bastion host stack, and a web application- specific stack. Each service requires the deployment of at least:
1.
A network/VPC stack
2.
A bastion host stack
3.
A web application stack
Each template has multiple input parameters that make it difficult to deploy the services individually from the AWS CloudFormation console. The input parameters from one stack are typically outputs from other stacks. For example, the VPC ID, subnet IDs, and security groups from the network stack may need to be used in the application stack or database stack.
Which actions will help reduce both the operational burden and the number of parameters passed into a service deployment? (Choose two.)
A. Create a new AWS CloudFormation template for each service. Alter the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new stack. Call the newly created service stack from the AWS CloudFormation console to deploy the specific service with a subset of the parameters previously required.
B. Create a new portfolio in AWS Service Catalog for each service. Create a product for each existing AWS CloudFormation template required to build the service. Add the products to the portfolio that represents that service in AWS Service Catalog. To deploy the service, select the specific service portfolio and launch the portfolio with the necessary parameters to deploy all templates.
C. Set up an AWS CodePipeline workflow for each service. For each existing template, choose AWS CloudFormation as a deployment action. Add the AWS CloudFormation template to the deployment action. Ensure that the deployment actions are processed to make sure that dependencies are obeyed. Use configuration files and scripts to share parameters between the stacks. To launch the service, execute the specific template by choosing the name of the service and releasing a change.
D. Use AWS Step Functions to define a new service. Create a new AWS CloudFormation template for each service. Alter the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new service template. Configure AWS Step Functions to call the service template directly. In the AWS Step Functions console, execute the step.
E. Create a new portfolio for the services in AWS Service Catalog. Create a new AWS CloudFormation template for each service. Alter the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new stack. Create a product for each application. Add the service template to the product. Add each new product to the portfolio. Deploy the product from the portfolio to deploy the service with the necessary parameters only to start the deployment.
A large multinational company runs a timesheet application on AWS that is used by staff across the world. The application runs on Amazon EC2 instances in an Auto Scaling group behind an Elastic Load Balancing (ELB) load balancer, and stores data in an Amazon RDS MySQL Multi-AZ database instance.
The CFO is concerned about the impact on the business if the application is not available. The application must not be down for more than two hours, but he solution must be as cost-effective as possible.
How should the Solutions Architect meet the CFO's requirements while minimizing data loss?
A. In another region, configure a read replica and create a copy of the infrastructure. When an issue occurs, promote the read replica and configure as an Amazon RDS Multi-AZ database instance. Update the DNS record to point to the other region's ELB.
B. Configure a 1-day window of 60-minute snapshots of the Amazon RDS Multi-AZ database instance. Create an AWS CloudFormation template of the application infrastructure that uses the latest snapshot. When an issue occurs, use the AWS CloudFormation template to create the environment in another region. Update the DNS record to point to the other region's ELB.
C. Configure a 1-day window of 60-minute snapshots of the Amazon RDS Multi-AZ database instance which is copied to another region. Create an AWS CloudFormation template of the application infrastructure that uses the latest copied snapshot. When an issue occurs, use the AWS CloudFormation template to create the environment in another region. Update the DNS record to point to the other region's ELB.
D. Configure a read replica in another region. Create an AWS CloudFormation template of the application infrastructure. When an issue occurs, promote the read replica and configure as an Amazon RDS Multi-AZ database instance and use the AWS CloudFormation template to create the environment in another region using the promoted Amazon RDS instance. Update the DNS record to point to the other region's ELB.
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to move to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?
A. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. Then use Amazon QuickSight to connect to Amazon EMR and perform the visualization.
B. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze the files in Amazon S3. Then use a fast in-memory BI tool running on Amazon EC2 to visualize the data.
C. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.
D. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper BI tool that runs on Amazon EC2 to visualize the data from Amazon S3.
The Security team needs to provide a team of interns with an AWS environment so they can build a serverless video transcoding application. The project will use Amazon S3, AWS Lambda, Amazon API Gateway, Amazon Cognito, Amazon DynamoDB, and Amazon Elastic Transcoder.
The interns should be able to create and configure the necessary resources, but they may not have access to create or modify AWS IAM roles. The Solutions Architect creates a policy and attaches it to the interns' group.
How should the Security team configure the environment to ensure that the interns are self-sufficient?
A. Create a policy that allows creation of project-related resources only. Create roles with required service permissions, which are assumable by the services.
B. Create a policy that allows creation of all project-related resources, including roles that allow access only to specified resources.
C. Create roles with the required service permissions, which are assumable by the services. Have the interns create and use a bastion host to create the project resources in the project subnet only.
D. Create a policy that allows creation of project-related resources only. Require the interns to raise a request for roles to be created with the Security team. The interns will provide the requirements for the
permissions to be set in the role.
A company operating a website on AWS requires high levels of scalability, availability, and performance. The company is running a Ruby on Rails application on Amazon EC2. It has a data tier on MySQL 5.6 on Amazon EC2 using 16 TB of Amazon EBS storage Amazon CloudFront is used to cache application content. The Operations team is reporting continuous and unexpected growth of EBS volumes assigned to the MySQL database. The Solutions Architect has been asked to design a highly scalable, highly available, and high-performing solution.
Which solution is the MOST cost-effective at scale?
A. Implement Multi-AZ and Auto Scaling for all EC2 instances in the current configuration. Ensure that all EC2 instances are purchased as reserved instances. Implement new elastic Amazon EBS volumes for the data tier.
B. Design and implement the Docker-based containerized solution for the application using Amazon ECS. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow the Aurora MySQL storage, as necessary. Ensure that Multi-AZ architectures are implemented.
C. Ensure that EC2 instances are right-sized and behind an Elastic Load Balancing load balancer. Implement Auto Scaling with EC2 instances. Ensure that the reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Ensure that Multi-AZ architectures are implemented.
D. Ensure that EC2 instances are right-sized and behind an Elastic Load Balancer. Implement Auto Scaling with EC2 instances. Ensure that Reserved instances are purchased for fixed capacity and that Auto Scaling instances run on demand. Migrate to an Amazon Aurora MySQL Multi-AZ cluster. Implement storage checks for Aurora MySQL storage utilization and an AWS Lambda function to grow Aurora MySQL storage, as necessary. Ensure Multi-AZ architectures are implemented.
A company has a web service deployed in the following two AWS Regions: us-west-2 and us-est-1. Each AWS region runs an identical version of the web service. Amazon Route 53 is used to route customers to the AWS Region that has the lowest latency.
The company wants to improve the availability of the web service in case an outage occurs in one of the two AWS Regions.
A Solutions Architect has recommended that a Route 53 health check be performed. The health check must detect a specific text on an endpoint.
What combination of conditions should the endpoint meet to pass the Route 53 health check? (Choose two.)
A. The endpoint must establish a TCP connection within 10 seconds.
B. The endpoint must return an HTTP 200 status code.
C. The endpoint must return an HTTP 2xx or 3xx status code.
D. The specific text string must appear within the first 5,120 bytes of the response.
E. The endpoint must respond to the request within the number of seconds specified when creating the health check.
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