Casos Actividad Final
AWS Solutions Architect Quiz
Test your knowledge on AWS architecture with this comprehensive quiz designed for aspiring solutions architects. Dive into scenarios that challenge your understanding of best practices and cost-effective strategies in cloud computing.
Featuring 10 thought-provoking questions, this quiz covers topics such as:
- EC2 Instance Management
- Data Encryption Techniques
- Database Optimization
- Application Load Balancing
A solutions architect wants to design a solution to save costs for Amazon EC2 instances that do not need to run during a 2-week company shutdown. The applications running on the EC2 instances store data in instance memory that must be present when the instances resume operation. Which approach should the solutions architect recommend to shut down and resume the EC2 instances?
Modify the application to store the data on instance store volumes. Reattach the volumes while restarting them.
Snapshot the EC2 instances before stopping them. Restore the snapshot after restarting the instances
Run the applications on EC2 instances enabled for hibernation. Hibernate the instances before the 2-week company shutdown.
Note the Availability Zone for each EC2 instance before stopping it. Restart the instances in the same Availability Zones after the 2-week company shutdown.
A company's security team requires that all data stored in the cloud be encrypted at rest at all times using encryption keys stored on premises. Which encryption options meet these requirements? (Select TWO.)
Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3).
Use server-side encryption with AWS KMS managed encryption keys (SSE-KMS).
Use server-side encryption with customer-provided encryption keys (SSE-C).
Use client-side encryption to provide at-rest encryption.
Use an AWS Lambda function invoked by Amazon S3 events to encrypt the data using the customer's keys.
A company uses Amazon EC2 Reserved Instances to run its data processing workload. The nightly job typically takes 7 hours to run and must finish within a 10-hour time window. The company anticipates temporary increases in demand at the end of each month that will cause the job to run over the time limit with the capacity of the current resources. Once started, the processing job cannot be interrupted before completion. The company wants to implement a solution that would provide increased resource capacity as cost-effectively as possible.
Deploy On-Demand Instances during periods of high demand.
Create a second EC2 reservation for additional instances
Deploy Spot Instances during periods of high demand.
Increase the EC2 instance size in the EC2 reservation to support the increased workload.
A company runs an online voting system for a weekly live television program. During broadcasts, users submit hundreds of thousands of votes within minutes to a front-end fleet of Amazon EC2 instances that run in an Auto Scaling group. The EC2 instances write the votes to an Amazon RDS database. However, the database is unable to keep up with the requests that come from the EC2 instances. A solutions architect must design a solution that processes the votes in the most efficient manner and without downtime. Which solution meets these requirements?
Migrate the front-end application to AWS Lambda. Use Amazon API Gateway to route user requests to the Lambda functions
Scale the database horizontally by converting it to a Multi-AZ deployment. Configure the front-end application to write to both the primary and secondary DB instances.
Configure the front-end application to send votes to an Amazon Simple Queue Service (Amazon SQS) queue. Provision worker instances to read the SQS queue and write the vote information to the database.
Use Amazon EventBridge (Amazon CloudWatch Events) to create a scheduled event to re-provision the database with larger, memory optimized instances during voting periods. When voting ends, re-provision the database to use smaller instances.
A company has a two-tier application architecture that runs in public and private subnets. Amazon EC2 instances running the web application are in the public subnet and an EC2 instance for the database runs on the private subnet. The web application instances and the database are running in a single Availability Zone (AZ). Which combination of steps should a solutions architect take to provide high availability for this architecture? (Select TWO.)
Create new public and private subnets in the same AZ.
Create an Amazon EC2 Auto Scaling group and Application Load Balancer spanning multiple AZs for the web application instances.
Add the existing web application instances to an Auto Scaling group behind an Application Load Balancer.
Create new public and private subnets in a new AZ. Create a database using an EC2 instance in the public subnet in the new AZ. Migrate the old database contents to the new database..
Create new public and private subnets in the same VPC, each in a new AZ. Create an Amazon RDS Multi-AZ DB instance in the private subnets. Migrate the old database contents to the new DB instance
A website runs a custom web application that receives a burst of traffic each day at noon. The users upload new pictures and content daily, but have been complaining of timeouts. The architecture uses Amazon EC2 Auto Scaling groups, and the application consistently takes 1 minute to initiate upon boot up before responding to user requests. How should a solutions architect redesign the architecture to better respond to changing traffic?
Configure a Network Load Balancer with a slow start configuration.
Configure Amazon ElastiCache for Redis to offload direct requests from the EC2 instances.
Configure an Autoscaling step scaling policy with an EC2 instance warmup condition.
Configure Amazon CloudFront to use an Application Load Balancer as the origin.
An application running on AWS uses an Amazon Aurora Multi-AZ DB cluster deployment for its database. When evaluating performance metrics, a solutions architect discovered that the database reads are causing high I/O and adding latency to the write requests against the database. What should the solutions architect do to separate the read requests from the write requests?
Enable read-through caching on the Aurora database.
Update the application to read from the Multi-AZ standby instance
Create an Aurora replica and modify the application to use the appropriate endpoints
Create a second Aurora database and link it to the primary database as a read replica.
You are an AWS Solutions Architect. Your company has a successful web application deployed in an AWS Auto Scaling group. The application attracts more and more global customers. However, the application's performance is impacted. Your manager asks you how to improve the performance and availability of the application. Which of the following AWS services would you recommend?
AWS DataSync
Amazon DynamoDB Accelerator
AWS Lake Formation
AWS Global Accelerator
You host a static website in an S3 bucket and there are global clients from multiple regions. You want to use an AWS service to store cache for frequently accessed content so that the latency is reduced and the data transfer rate is increased. Which of the following options would you choose?
Use AWS SDKS to horizontally scale parallel requests to the Amazon S3 service endpoints.
Create multiple Amazon S3 buckets and put Amazon EC2 and S3 in the same AWS Region.
Enable Cross-Region Replication to several AWS Regions to serve customers from different locations.
Configure CloudFront to deliver the content in the S3 bucket
You have an S3 bucket that receives photos uploaded by customers. When an object is uploaded, an event notification is sent to an SQS queue with the object details. You also have an ECS cluster that gets messages from the queue to do the batch processing. The queue size may change greatly depending on the number of incoming messages and backend processing speed. Which metric would you use to scale up/down the ECS cluster capacity?
The number of messages in the SQS queue
Memory usage of the ECS cluster.
Number of objects in the S3 bucket.
Number of containers in the ECS cluster.
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