Question # 1
| A solutions architect has created a new AWS account and must secure AWS account root
user access.
Which combination of actions will accomplish this? (Choose two.) | | A. Ensure the root user uses a strong password. | | B. Enable multi-factor authentication to the root user. | | C. Store root user access keys in an encrypted Amazon S3 bucket | | D. Add the root user to a group containing administrative permissions. | | E. Apply the required permissions to the root user with an inline policy document. |
A. Ensure the root user uses a strong password.
B. Enable multi-factor authentication to the root user.
Explanation: https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html
https://docs.aws.amazon.com/accounts/latest/reference/best-practices-root-user.html *
Enable AWS multi-factor authentication (MFA) on your AWS account root user. For more
information, see Using multi-factor authentication (MFA) in AWS in the IAM User Guide. *
Never share your AWS account root user password or access keys with anyone. * Use a
strong password to help protect access to the AWS Management Console. For information about managing your AWS account root user password, see Changing the password for
the root user.
Question # 2
A company recently started using Amazon Aurora as the data store for its global ecommerce application When large reports are run developers report that the ecommerce application is performing poorly After reviewing metrics in Amazon CloudWatch, a solutions architect finds that the ReadlOPS and CPUUtilization metrics are spiking when monthly reports run.
What is the MOST cost-effective solution? | | A. Migrate the monthly reporting to Amazon Redshift. | | B. Migrate the monthly reporting to an Aurora Replica | | C. Migrate the Aurora database to a larger instance class | | D. Increase the Provisioned IOPS on the Aurora instance |
B. Migrate the monthly reporting to an Aurora Replica
Explanation: Replicas Aurora Replicas have two main purposes. You can issue queries to them to scale the read operations for your application. You typically do so by connecting to the reader endpoint of the cluster. That way, Aurora can spread the load for read-only connections across as many Aurora Replicas as you have in the cluster. Aurora Replicas also help to increase availability. If the writer instance in a cluster becomes unavailable, Aurora automatically promotes one of the reader instances to take its place as the new writer.
Question # 3
| A robotics company is designing a solution for medical surgery The robots will use
advanced sensors, cameras, and Al algorithms to perceive their environment and to
complete surgeries. The company needs a public load balancer in the AWS Cloud that will ensure seamless
communication with backend services. The load balancer must be capable of routing traffic
based on the query strings to different target groups. The traffic must also be encrypted
Which solution will meet these requirements? | | A. Use a Network Load Balancer with a certificate attached from AWS Certificate Manager
(ACM) Use query parameter-based routing | | B. Use a Gateway Load Balancer. Import a generated certificate in AWS Identity and
Access Management (1AM). Attach the certificate to the load balancer. Use HTTP pathbased
routing. | | C. Use an Application Load Balancer with a certificate attached from AWS Certificate
Manager (ACM). Use query parameter-based routing. | | D. Use a Network Load Balancer. Import a generated certificate in AWS Identity and
Access Management (1AM). Attach the certificate to the load balancer. Use query
parameter-based routing. |
C. Use an Application Load Balancer with a certificate attached from AWS Certificate
Manager (ACM). Use query parameter-based routing.
Explanation:
Understanding the Requirement: The robotics company needs a public load
balancer to ensure seamless communication with backend services, route traffic
based on query strings, and encrypt traffic.
Question # 4
| A company is building a three-tier application on AWS. The presentation tier will serve a static website. The logic tier is a containerized application. This application will store data in a relational database. The company wants to simplify deployment and to reduce operational costs.
Which solution will meet these requirements? | | A. Use Amazon S3 to host static content. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate for compute power. Use a managed Amazon RDS cluster for the database.
| | B. Use Amazon CloudFront to host static content. Use Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 for compute power. Use a managed Amazon RDS cluster for the database.
| | C. Use Amazon S3 to host static content. Use Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate for compute power. Use a managed Amazon RDS cluster for the database.
| | D. Use Amazon EC2 Reserved Instances to host static content. Use Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 for compute power. Use a managed Amazon RDS cluster for the database. |
A. Use Amazon S3 to host static content. Use Amazon Elastic Container Service (Amazon ECS) with AWS Fargate for compute power. Use a managed Amazon RDS cluster for the database.
Explanation: Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to host
static content for your website, such as HTML files, images, videos, etc. Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. AWS Fargate is a serverless compute engine for containers that works with both Amazon ECS and Amazon EKS. Fargate makes it easy for you to focus on building your applications by removing the need to provision and manage servers. You can use Amazon ECS with AWS Fargate for compute power for your containerized application logic tier. Amazon RDS is a managed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud. You can use a managed Amazon RDS cluster for the database tier of your application. This solution will simplify deployment and reduce operational costs for your three-tier application.
Question # 5
| A company has a multi-tier payment processing application that is based on virtual
machines (VMs). The communication between the tiers occurs asynchronously through a
third-party middleware solution that guarantees exactly-once delivery.
The company needs a solution that requires the least amount of infrastructure
management. The solution must guarantee exactly-once delivery for application messaging. Which combination of actions will meet these requirements? (Select TWO.) | | A. Use AWS Lambda for the compute layers in the architecture. | | B. Use Amazon EC2 instances for the compute layers in the architecture. | | C. Use Amazon Simple Notification Service (Amazon SNS) as the messaging component
between the compute layers. | | D. Use Amazon Simple Queue Service (Amazon SQS) FIFO queues as the messaging
component between the compute layers. | | E. Use containers that are based on Amazon Elastic Kubemetes Service (Amazon EKS) for
the compute layers in the architecture. |
A. Use AWS Lambda for the compute layers in the architecture.
D. Use Amazon Simple Queue Service (Amazon SQS) FIFO queues as the messaging
component between the compute layers.
Explanation: This solution meets the requirements because it requires the least amount of
infrastructure management and guarantees exactly-once delivery for application
messaging. AWS Lambda is a serverless compute service that lets you run code without
provisioning or managing servers. You only pay for the compute time you consume.
Lambda scales automatically with the size of your workload. Amazon SQS FIFO queues
are designed to ensure that messages are processed exactly once, in the exact order that
they are sent. FIFO queues have high availability and deliver messages in a strict first-in,
first-out order. You can use Amazon SQS to decouple and scale microservices, distributed
systems, and serverless applications.
Question # 6
| Asocial media company has workloads that collect and process data The workloads store
the data in on-premises NFS storage The data store cannot scale fast enough to meet the
company's expanding business needs The company wants to migrate the current data
store to AWS.
Which solution will meet these requirements MOST cost-effectively? | | A. Set up an AWS Storage Gateway Volume Gateway Use an Amazon S3 Lifecycle policy
to transition the data to the appropnate storage class | | B. Set up an AWS Storage Gateway Amazon S3 File Gateway Use an Amazon S3
Lifecycle policy to transition the data to the appropriate storage class | | C. Use the Amazon Elastic File System (Amazon EFS) Standard-Infrequent Access
(Standard-IA) storage class Activate the infrequent access lifecycle policy | | D. Use the Amazon Elastic File System (Amazon EFS) One Zone-Infrequent Access (One
Zone-IA) storage class Activate the infrequent access lifecycle policy |
B. Set up an AWS Storage Gateway Amazon S3 File Gateway Use an Amazon S3
Lifecycle policy to transition the data to the appropriate storage class
Explanation:
This solution meets the requirements most cost-effectively because it enables the company
to migrate its on-premises NFS data store to AWS without changing the existing
applications or workflows. AWS Storage Gateway is a hybrid cloud storage service that
provides seamless and secure integration between on-premises and AWS storage.
Amazon S3 File Gateway is a type of AWS Storage Gateway that provides a file interface
to Amazon S3, with local caching for low-latency access. By setting up an Amazon S3 File
Gateway, the company can store and retrieve files as objects in Amazon S3 using standard
file protocols such as NFS. The company can also use an Amazon S3 Lifecycle policy to
automatically transition the data to the appropriate storage class based on the frequency of
access and the cost of storage. For example, the company can use S3 Standard for
frequently accessed data, S3 Standard-Infrequent Access (S3 Standard-IA) or S3 One
Zone-Infrequent Access (S3 One Zone-IA) for less frequently accessed data, and S3
Glacier or S3 Glacier Deep Archive for long-term archival data.
Option A is not a valid solution because AWS Storage Gateway Volume Gateway is a type
of AWS Storage Gateway that provides a block interface to Amazon S3, with local caching for low-latency access. Volume Gateway is not suitable for migrating an NFS data store, as
it requires attaching the volumes to EC2 instances or on-premises servers using the iSCSI
protocol.
Option C is not a valid solution because Amazon Elastic File System (Amazon
EFS) is a fully managed elastic NFS file system that is designed for workloads that require
high availability, scalability, and performance. Amazon EFS Standard-Infrequent Access
(Standard-IA) is a storage class within Amazon EFS that is optimized for infrequently
accessed files, with a lower price per GB and a higher price per access. Using Amazon
EFS Standard-IA for migrating an NFS data store would not be cost-effective, as it would
incur higher access charges and require additional configuration to enable lifecycle
management.
Option D is not a valid solution because Amazon EFS One Zone-Infrequent
Access (One Zone-IA) is a storage class within Amazon EFS that is optimized for
infrequently accessed files that do not require the availability and durability of Amazon EFS
Standard or Standard-IA. Amazon EFS One Zone-IA stores data in a single Availability
Zone, which reduces the cost by 47% compared to Amazon EFS Standard-IA, but also
increases the risk of data loss in the event of an Availability Zone failure. Using Amazon
EFS One Zone-IA for migrating an NFS data store would not be cost-effective, as it would
incur higher access charges and require additional configuration to enable lifecycle
management. It would also compromise the availability and durability of the data.
Question # 7
| A company has a large workload that runs every Friday evening. The workload runs on
Amazon EC2 instances that are in two Availability Zones in the us-east-1 Region. Normally,
the company must run no more than two instances at all times. However, the company
wants to scale up to six instances each Friday to handle a regularly repeating increased
workload.
Which solution will meet these requirements with the LEAST operational overhead? | | A. Create a reminder in Amazon EventBridge to scale the instances. | | B. Create an Auto Scaling group that has a scheduled action. | | C. Create an Auto Scaling group that uses manual scaling. | | D. Create an Auto Scaling group that uses automatic scaling. |
B. Create an Auto Scaling group that has a scheduled action.
Explanation: An Auto Scaling group is a collection of EC2 instances that share similar
characteristics and can be scaled in or out automatically based on demand. An Auto
Scaling group can have a scheduled action, which is a configuration that tells the group to scale to a specific size at a specific time. This way, the company can scale up to six
instances each Friday evening to handle the increased workload, and scale down to two
instances at other times to save costs. This solution meets the requirements with the least
operational overhead, as it does not require manual intervention or custom scripts.
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