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Question 1:
A solutions architect has deployed a web application that serves users across two AWS Regions under a custom domain The application uses Amazon Route 53 latency-based routing The solutions architect has associated weighted record sets with a pair of web servers in separate Availability Zones for each Region The solutions architect runs a disaster recovery scenario When all the web servers in one Region are stopped Route 53 does not automatically redirect users to the other Region
Which of the following are possible root causes of this issue? (Select TWO.)
A. The weight for the Region where the web servers were stopped is higher than the weight for the other Region
B. One of the web servers in the secondary Region did not pass its HTTP health check
C. Latency resource record sets cannot be used in combination with weighted resource record sets
D. The setting to evaluate target health is not turned on for the latency alias resource record set that is associated with the domain in the Region where the web servers were stopped
E. An HTTP health check has not been set up for one or more of the weighted resource record sets associated with the stopped web servers
Correct Answer: DE
Question 2:
An online magazine will launch Its latest edition this month. This edition will be the first to be distributed globally. The magazine\’s dynamic website currently uses an Application Load Balancer in front of the web tier a fleet of Amazon EC2 instances for web and application servers, and Amazon Aurora MySQL. Portions of the website include static content and almost all traffic is read-only
The magazine is expecting a significant spike m internet traffic when the new edition is launched Optimal performance is a top priority for the week following the launch
Which combination of steps should a solutions architect take to reduce system response antes for a global audience? (Select TWO )
A. Use logical cross-Region replication to replicate the Aurora MySQL database to a secondary Region Replace the web servers with Amazon S3 Deploy S3 buckets in cross- Region replication mode
B. Ensure the web and application tiers are each m Auto Scaling groups. Introduce an AWS Direct Connect connection Deploy the web and application tiers in Regions across the world
C. Migrate the database from Amazon Aurora to Amazon RDS for MySQL. Ensure all three of the application tiers–web. application, and database–are in private subnets.
D. Use an Aurora global database for physical cross-Region replication. Use Amazon S3 with cross-Region replication for static content and resources. Deploy the web and application tiers in Regions across the world
E. Introduce Amazon Route 53 with latency-based routing and Amazon CloudFront distributions. Ensure me web and application tiers are each in Auto Scaling groups
Correct Answer: DE
Question 3:
A large company recently experienced an unexpected increase in Amazon RDS and Amazon DynamoDB costs The company needs to increase visibility into details of AWS Billing and Cost Management There are various accounts associated with AWS Organizations, including many development and production accounts. There is no consistent tagging strategy across the organization, but there are guidelines in place that require all infrastructure to be deployed using AWS Cloud Formation with consistent tagging Management requires cost center numbers and project ID numbers for all existing and future DynamoDB tables and RDS instances
Which strategy should the solutions architect provide to meet these requirements?
A. Use Tag Editor to tag existing resources Create cost allocation tags to define the cost center and project ID and allow 24 hours for tags to propagate to existing resources
B. Use an AWS Config rule to alert the finance team of untagged resources Create a centralized AWS Lambda based solution to tag untagged RDS databases and DynamoDB resources every hour using a cross-account rote.
C. Use Tag Editor to tag existing resources. Create cost allocation tags to define the cost center and project ID. Use SCPs to restrict resource creation that do not have the cost center and project ID on the resource.
D. Create cost allocation tags to define the cost center and project ID and allow 24 hours for tags to propagate to existing resources Update existing federated roles to restrict privileges to provision resources that do not include the cost center and project ID on the resource
Correct Answer: C
Using Tag Editor to remediate untagged resources is a Best Practice (Page 14 or AWS Tagging Best Practices WhitePaper). However, that is were answer A stops. It doesn\’t address the requirement of “Management requires cost center numbers and project ID number for all existing and future DynamoDB tables and RDS instances”. That is where Answer C comes in and addresses that requirement with SCPs in the company\’s AWS Organization. AWS Tagging Best Practices – https://d1.awsstatic.com/whitepapers/aws-tagging-best-practices.pdf
Question 4:
A company is deploying AWS Lambda functions that access an Amazon RDS for PostgreSQL database. The company needs to launch the Lambda functions in a QA environment and in a production environment.
The company must not expose credentials within application code and must rotate passwords automatically. Which solution will meet these requirements?
A. Store the database credentials for both environments in AWS Systems Manager Parameter Store. Encrypt the credentials by using an AWS Key Management Service (AWS KMS) key. Within the application code of the Lambda functions, pull the credentials from the Parameter Store parameter by using the AWS SDK for Python (Bot03). Add a role to the Lambda functions to provide access to the Parameter Store parameter.
B. Store the database credentials for both environments in AWS Secrets Manager with distinct key entry for the QA environment and the production environment. Turn on rotation. Provide a reference to the Secrets Manager key as an environment variable for the Lambda functions.
C. Store the database credentials for both environments in AWS Key Management Service (AWS KMS). Turn on rotation. Provide a reference to the credentials that are stored in AWS KMS as an environment variable for the Lambda functions.
D. Create separate S3 buckets for the QA environment and the production environment. Turn on server-side encryption with AWS KMS keys (SSE-KMS) for the S3 buckets. Use an object naming pattern that gives each Lambda function\’s application code the ability to pull the correct credentials for the function\’s corresponding environment. Grant each Lambda function\’s execution role access to Amazon S3.
Correct Answer: B
The best solution is to store the database credentials for both environments in AWS Secrets Manager with distinct key entry for the QA environment and the production environment. AWS Secrets Manager is a web service that can securely store, manage, and retrieve secrets, such as database credentials. AWS Secrets Manager also supports automatic rotation of secrets by using Lambda functions or built-in rotation templates. By storing the database credentials for both environments in AWS Secrets Manager, the company can avoid exposing credentials within application code and rotate passwords automatically. By providing a reference to the Secrets Manager key as an environment variable for the Lambda functions, the company can easily access the credentials from the code by using the AWS SDK. This solution meets all the requirements of the company. References: AWS Secrets Manager Documentation, Using AWS Lambda with AWS Secrets Manager, Using environment variables – AWS Lambda
Question 5:
A company runs its application in the eu-west-1 Region and has one account for each of its environments development, testing, and production All the environments are running 24 hours a day 7 days a week by using stateful Amazon EC2 instances and Amazon RDS for MySQL databases The databases are between 500 GB and 800 GB in size
The development team and testing team work on business days during business hours, but the production environment operates 24 hours a day. 7 days a week. The company wants to reduce costs AH resources are tagged with an environment tag with either development, testing, or production as the key.
What should a solutions architect do to reduce costs with the LEAST operational effort?
A. Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs once every day Configure the rule to invoke one AWS Lambda function that starts or stops instances based on the tag day and time.
B. Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs every business day in the evening. Configure the rule to invoke an AWS Lambda function that stops instances based on the tag-Create a second EventBridge (CloudWatch Events) rule that runs every business day in the morning Configure the second rule to invoke another Lambda function that starts instances based on the tag
C. Create an Amazon EventBridge (Amazon CloudWatch Events) rule that runs every business day in the evening Configure the rule to invoke an AWS Lambda function that terminates instances based on the tag Create a second EventBridge (CloudWatch Events) rule that runs every business day in the morning Configure the second rule to invoke another Lambda function that restores the instances from their last backup based on the tag.
D. Create an Amazon EventBridge rule that runs every hour. Configure the rule to invoke one AWS Lambda function that terminates or restores instances from their last backup based on the tag. day, and time.
Correct Answer: B
Creating an Amazon EventBridge rule that runs every business day in the evening to stop instances and another rule that runs every business day in the morning to start instances based on the tag will reduce costs with the least operational effort. This approach allows for instances to be stopped during non-business hours when they are not in use, reducing the costs associated with running them. It also allows for instances to be started again in the morning when the development and testing teams need to use them.
Question 6:
A company has millions of objects in an Amazon S3 bucket. The objects are in the S3 Standard storage class. All the S3 objects are accessed frequently. The number of users and applications that access the objects is increasing rapidly. The objects are encrypted with server-side encryption with AWS KMS Keys (SSE-KMS).
A solutions architect reviews the company\’s monthly AWS invoice and notices that AWS KMS costs are increasing because of the high number of requests from Amazon S3. The solutions architect needs to optimize costs with minimal changes to the application.
Which solution will meet these requirements with the LEAST operational overhead?
A. Create a new S3 bucket that has server-side encryption with customer-provided keys (SSE-C) as the encryption type. Copy the existing objects to the new S3 bucket. Specify SSE-C.
B. Create a new S3 bucket that has server-side encryption with Amazon S3 managed keys (SSE-S3) as the encryption type. Use S3 Batch Operations to copy the existing objects to the new S3 bucket. Specify SSE-S3.
C. Use AWS CloudHSM to store the encryption keys. Create a new S3 bucket. Use S3 Batch Operations to copy the existing objects to the new S3 bucket. Encrypt the objects by using the keys from CloudHSM.
D. Use the S3 Intelligent-Tiering storage class for the S3 bucket. Create an S3 Intelligent- Tiering archive configuration to transition objects that are not accessed for 90 days to S3 Glacier Deep Archive.
Correct Answer: B
To reduce the volume of Amazon S3 calls to AWS KMS, use Amazon S3 bucket keys, which are protected encryption keys that are reused for a limited time in Amazon S3. Bucket keys can reduce costs for AWS KMS requests by up to 99%.
You can configure a bucket key for all objects in an Amazon S3 bucket, or for a specific object in an Amazon S3 bucket. https://docs.aws.amazon.com/fr_fr/kms/latest/developerguide/services-s3.html
Question 7:
A solutions architect is responsible (or redesigning a legacy Java application to improve its availability, data durability, and scalability. Currently, the application runs on a single high- memory Amazon EC2 instance. It accepts HTTP requests from upstream clients, adds them to an in-memory queue, and responds with a 200 status. A separate application thread reads items from the queue, processes them, and persists the results to an Amazon RDS MySQL instance. The processing time for each item takes 90 seconds on average, most of which is spent waiting on external service calls, but the application is written to process multiple items in parallel.
Traffic to this service is unpredictable. During periods of high load, items may sit in the internal queue for over an hour while the application processes the backlog. In addition, the current system has issues with availability and data loss if the single application node fails.
Clients that access this service cannot be modified. They expect to receive a response to each HTTP request they send within 10 seconds before they will time out and retry the request.
Which approach would improve the availability and durability of (he system while decreasing the processing latency and minimizing costs?
A. Create an Amazon API Gateway REST API that uses Lambda proxy integration to pass requests to an AWS Lambda function. Migrate the core processing code to a Lambda function and write a wrapper class that provides a handler method that converts the proxy events to the internal application data model and invokes the processing module.
B. Create an Amazon API Gateway REST API that uses a service proxy to put items in an Amazon SOS queue. Extract the core processing code from the existing application and update it to pull items from Amazon SOS instead of an in-memory queue. Deploy the new processing application to smaller EC2 instances within an Auto Scaling group that scales dynamically based on the approximate number of messages in the Amazon SOS queue.
C. Modify the application to use Amazon DynamoDB instead of Amazon RDS. Configure Auto Scaling for the DynamoDB table. Deploy the application within an Auto Scaling group with a scaling policy based on CPU utilization. Back the in-memory queue with a memory- mapped file to an instance store volume and periodically write that file to Amazon S3.
D. Update the application to use a Redis task queue instead of the in-memory queue. 8uild a Docker container image for the application. Create an Amazon ECS task definition that includes the application container and a separate container to host Redis. Deploy the new task definition as an ECS service using AWS Fargate, and enable Auto Scaling.
Correct Answer: B
The obvious challenges here are long workloads, scalability based on queue load, and reliability. Almost always the defacto answer to queue related workload is SQS. Since the workloads are very long (90 minutes) Lambdas cannot be used (15 mins max timeout). So, autoscaled smaller EC2 nodes that wait on external services to complete the task makes more sense. If the task fails, the message is returned to the queue and retried.
Question 8:
A software as a service (SaaS) based company provides a case management solution to customers A3 part of the solution. The company uses a standalone Simple Mail Transfer Protocol (SMTP) server to send email messages from an application. The application also stores an email template for acknowledgement email messages that populate customer data before the application sends the email message to the customer.
The company plans to migrate this messaging functionality to the AWS Cloud and needs to minimize operational overhead.
Which solution will meet these requirements MOST cost-effectively?
A. Set up an SMTP server on Amazon EC2 instances by using an AMI from the AWS Marketplace. Store the email template in an Amazon S3 bucket. Create an AWS Lambda function to retrieve the template from the S3 bucket and to merge the customer data from the application with the template. Use an SDK in the Lambda function to send the email message.
B. Set up Amazon Simple Email Service (Amazon SES) to send email messages. Store the email template in an Amazon S3 bucket. Create an AWS Lambda function to retrieve the template from the S3 bucket and to merge the customer data from the application with the template. Use an SDK in the Lambda function to send the email message.
C. Set up an SMTP server on Amazon EC2 instances by using an AMI from the AWS Marketplace. Store the email template in Amazon Simple Email Service (Amazon SES) with parameters for the customer data. Create an AWS Lambda function to call the SES template and to pass customer data to replace the parameters. Use the AWS Marketplace SMTP server to send the email message.
D. Set up Amazon Simple Email Service (Amazon SES) to send email messages. Store the email template on Amazon SES with parameters for the customer data. Create an AWS Lambda function to call the SendTemplatedEmail API operation and to pass customer data to replace the parameters and the email destination.
Correct Answer: D
In this solution, the company can use Amazon SES to send email messages, which will minimize operational overhead as SES is a fully managed service that handles sending and receiving email messages. The company can store the email template on Amazon SES with parameters for the customer data and use an AWS Lambda function to call the SendTemplatedEmail API operation, passing in the customer data to replace the parameters and the email destination. This solution eliminates the need to set up and manage an SMTP server on EC2 instances, which can be costly and time-consuming.
Question 9:
A company is building an electronic document management system in which users upload their documents. The application stack is entirely serverless and runs on AWS in the eu- central-1 Region. The system includes a web application that uses an Amazon CloudFront distribution for delivery with Amazon S3 as the origin. The web application communicates with Amazon API Gateway Regional endpoints. The API Gateway APIs call AWS Lambda functions that store metadata in an Amazon Aurora Serverless database and put the documents into an S3 bucket.
The company is growing steadily and has completed a proof of concept with its largest customer. The company must improve latency outside of Europe.
Which combination of actions will meet these requirements? (Select TWO.)
A. Enable S3 Transfer Acceleration on the S3 bucket. Ensure that the web application uses the Transfer Acceleration signed URLs.
B. Create an accelerator in AWS Global Accelerator. Attach the accelerator to the CloudFront distribution.
C. Change the API Gateway Regional endpoints to edge-optimized endpoints.
D. Provision the entire stack in two other locations that are spread across the world. Use global databases on the Aurora Serverless cluster.
E. Add an Amazon RDS proxy between the Lambda functions and the Aurora Serverless database.
Correct Answer: AC
https://aws.amazon.com/global-accelerator/faqs/
Question 10:
A financial services company has an asset management product that thousands of customers use around the world. The customers provide feedback about the product through surveys. The company is building a new analytical solution that runs on Amazon EMR to analyze the data from these surveys.
The following user personas need to access the analytical solution to perform different actions:
1.
Administrator: Provisions the EMR cluster for the analytics team based on the team\’s requirements
2.
Data engineer: Runs E TL scripts to process, transform, and enrich the datasets
3.
Data analyst: Runs SQL and Hive queries on the data
A solutions architect must ensure that all the user personas have least privilege access to only the resources that they need. The user personas must be able to launch only applications that are approved and authorized. The solution also must ensure tagging for all resources that the user personas create.
Which solution will meet these requirements?
A. Create IAM roles for each user persona. Attach identity-based policies to define which actions the user who assumes the role can perform. Create an AWS Config rule to check for noncompliant resources. Configure the rule to notify the administrator to remediate the noncompliant resources.
B. Set up Kerberos-based authentication for EMR clusters upon launch. Specify a Kerberos security configuration along with cluster-specific Kerberos options.
C. Use AWS Service Catalog to control the Amazon EMR versions available for deployment, the cluster configuration, and the permissions for each user persona.
D. Launch the EMR cluster by using AWS CloudFormation. Attach resource-based policies to the EMR cluster during cluster creation. Create an AWS Config rule to check for noncompliant clusters and noncompliant Amazon S3 buckets. Configure the rule to notify the administrator to remediate the noncompliant resources.
Correct Answer: C
Question 11:
A company has migrated a legacy application to the AWS Cloud. The application runs on three Amazon EC2 instances that are spread across three Availability Zones. One EC2 instance is in each Availability Zone. The EC2 instances are running in three private subnets of the VPC and are set up as targets for an Application Load Balancer (ALB) that is associated with three public subnets.
The application needs to communicate with on-premises systems. Only traffic from IP addresses in the company\’s IP address range are allowed to access the on-premises systems. The company\’s security team is bringing only one IP address from its internal IP address range to the cloud. The company has added this IP address to the allow list for the company firewall. The company also has created an Elastic IP address for this IP address.
A solutions architect needs to create a solution that gives the application the ability to communicate with the on-premises systems. The solution also must be able to mitigate failures automatically.
Which solution will meet these requirements?
A. Deploy three NAT gateways, one in each public subnet. Assign the Elastic IP address to the NAT gateways. Turn on health checks for the NAT gateways. If a NAT gateway fails a health check, recreate the NAT gateway and assign the Elastic IP address to the new NAT gateway.
B. Replace the ALB with a Network Load Balancer (NLB). Assign the Elastic IP address to the NLB Turn on health checks for the NLB. In the case of a failed health check, redeploy the NLB in different subnets.
C. Deploy a single NAT gateway in a public subnet. Assign the Elastic IP address to the NAT gateway. Use Amazon CloudWatch with a custom metric to monitor the NAT gateway. If the NAT gateway is unhealthy, invoke an AWS Lambda function to create a new NAT gateway in a different subnet. Assign the Elastic IP address to the new NAT gateway.
D. Assign the Elastic IP address to the ALB. Create an Amazon Route 53 simple record with the Elastic IP address as the value. Create a Route 53 health check. In the case of a failed health check, recreate the ALB in different subnets.
Correct Answer: C
to connect out from the private subnet you need an NAT gateway and since only one Elastic IP whitelisted on firewall its one NATGateway at time and if AZ failure happens Lambda creates a new NATGATEWAY in a different AZ using the Same Elastic IP ,dont be tempted to select D since application that needs to connect is on a private subnet whose outbound connections use the NATGateway Elastic IP
Question 12:
A company has purchased appliances from different vendors. The appliances all have loT sensors. The sensors send status information in the vendors\’ proprietary formats to a legacy application that parses the information into JSON. The
parsing is simple, but each vendor has a unique format. Once daily, the application parses all the JSON records and stores the records in a relational database for analysis.
The company needs to design a new data analysis solution that can deliver faster and optimize costs.
Which solution will meet these requirements?
A. Connect the loT sensors to AWS loT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon OuickSight for analysis.
B. Migrate the application server to AWS Fargate, which will receive the information from loT sensors and parse the information into a relational format. Save the parsed information to Amazon Redshift for analysis.
C. Create an AWS Transfer for SFTP server. Update the loT sensor code to send the information as a .csv file through SFTP to the server. Use AWS Glue to catalog the files. Use Amazon Athena for analysis.
D. Use AWS Snowball Edge to collect data from the loT sensors directly to perform local analysis. Periodically collect the data into Amazon Redshift to perform global analysis.
Correct Answer: A
This solution will meet the requirement for faster data analysis and cost optimization. By connecting the IoT sensors to AWS IoT Core, it will enable to receive the data from the sensors in real-time. This means that data can be analyzed as soon as it is received, providing faster insights. AWS IoT Core enables you to easily and securely connect and manage IoT devices at scale. AWS Lambda is a serverless compute service that runs your code without provisioning or managing servers, allowing you to build and run applications and services without thinking about servers. Setting a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3 will provide a cost-effective way to store the parsed data. Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. With S3, you can store and retrieve any amount of data, at any time, from anywhere on the web. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. AWS Glue automatically discovers and profiles data via the Glue Data Catalog, recommends and generates ETL code to transform your source data into target schemas, and runs the ETL jobs on a fully managed, scale-out Spark environment to load your data into its destination. Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run. Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. With QuickSight, you can create and publish interactive dashboards and reports in minutes, and share them with others to collaborate and make data-driven decisions. References: AWS IoT Core AWS Lambda Amazon S3 AWS Glue Amazon Athena Amazon QuickSight
Question 13:
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 port 80 to destination 0.0.0.0/0
D. An outbound rule for port 80 to destination 10.0.0.0/24
E. An outbound rule for ports 1024 through 65535 to destination 10.0.0.0/24
Correct Answer: BE
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 on Ephemeral ports here.https://acloud.guru/forums/aws-certified-solutions-architectassociate/discussion/-KUbcwo4lXefMl7janaK/network-acls-ephemeral-ports
Question 14:
A company is migrating its three-tier web application from on-premises to the AWS Cloud. The company has the following requirements for the migration process:
Ingest machine images from the on-premises environment.
Synchronize changes from the on-premises environment to the AWS environment until the production cutover.
Minimize downtime when executing the production cutover.
Migrate the virtual machines\’ root volumes and data volumes.
Which solution will satisfy these requirements with minimal operational overhead?
A. Use AWS Server Migration Service (SMS) to create and launch a replication job for each tier of the application. Launch instances from the AMIs created by AWS SMS. After initial testing, perform a final replication and create new instances from the updated AMIs.
B. Create an AWS CLIVM Import/Export script to migrate each virtual machine. Schedule the script to run incrementally to maintain changes in the application. Launch instances from the AMIs created by VM Import/Export. Once testing is done, rerun the script to do a final import and launch the instances from the AMIs.
C. Use AWS Server Migration Service (SMS) to upload the operating system volumes. Use the AWS CLI import-snaps hot command \’or the data volumes. Launch instances from the AMIs created by AWS SMS and attach the data volumes to the instances. After initial testing, perform a final replication, launch new instances from the replicated AMIs. and attach the data volumes to the instances.
D. Use AWS Application Discovery Service and AWS Migration Hub to group the virtual machines as an application. Use the AWS CLI VM Import/Export script to import the virtual machines as AMIs. Schedule the script to run incrementally to maintain changes in the application. Launch instances from the AMIs. After initial testing, perform a final virtual machine import and launch new instances from the AMIs.
Correct Answer: A
SMS can handle migrating the data volumes:https://aws.amazon.com/about- aws/whats-new/2018/09/aws-server-migration-service-adds-support-for-migrating-larger- data-volumes/
Question 15:
A data analytics company has an Amazon Redshift cluster that consists of several reserved nodes. The duster is experiencing unexpected bursts of usage because a team of employees is compiling a deep audit analysis report The queries to generate the report are complex read queries and are CPU intensive.
Business requirements dictate that the cluster must be able to service read and write queries at at) times A solutions architect must devise a solution that accommodates the bursts of usage
Which solution meets these requirements MOST cost-effectively?
A. Provision an Amazon EMR duster Offload the complex data processing tasks
B. Deploy an AWS Lambda function to add capacity to the Amazon Redshift cluster by using a classic resize operation when the duster\’s CPU metrics in Amazon CloudWatch reach 80%.
C. Deploy an AWS Lambda function to add capacity to the Amazon Redshift duster by using an elastic resize operation when the duster\’s CPU metrics in Amazon CloudWatch leach 80%.
D. Turn on the Concurrency Scaling feature for the Amazon Redshift duster
Correct Answer: D