Test5A

A company is running a software-as-a-service (SaaS) application in its on-premises data center. The application architecture uses a frontend Apache web server to support many customer-specific websites. The Apache web server routes traffic to a different set of servers based on the domain name that is specified in the host header of the initial request.

The company decides to move its architecture to AWS. A developer is moving the customer-specific backend servers onto Amazon EC2 instances. The developer must configure the EC2 instances in Auto Scaling groups for each customer and must register the instances in different target groups. The developer needs to replace the frontend Apache web server with an Elastic Load Balancing (ELB) load balancer. The developer also must forward queries for specific domain names to the appropriate target groups.

Which configuration on AWS will meet these requirements?

• Use a Network Load Balancer and host-based routing to respective backend target groups.

• Use a Network Load Balancer and path-based routing to respective backend target groups.

• Use an Application Load Balancer and host-based routing to respective backend target groups.

• Use an Application Load Balancer and path-based routing to respective backend target groups.

A Developer is investigating an application's performance issues. The application consists of hundreds of microservices, and a single API call can potentially have a deep call stack. The Developer must isolate the component that is causing the issue.
Which AWS service or feature should the Developer use to gather information about what is happening and isolate the fault?

• AWS X-Ray

• VPC Flow Logs

• Amazon GuardDuty

• Amazon Macie

A company deploys a photo-processing application to an Amazon EC2 instance The application needs to process each photo in less than 5 seconds. If processing takes longer than 5 seconds, the company's development team must receive a notification.

How can a developer implement the required time measurement and notification with the LEAST operational overhead?

• Create an Amazon CloudWatch custom metric. Each time a photo is processed, publish the processing time as a metric value. Create a CloudWatch alarm that is based on a static threshold of 5 seconds. Notify the development team by using an Amazon Simple Notification Service (Amazon SNS) topic.

• Create an Amazon Simple Queue Service (Amazon SQS) queue. Each time a photo is processed, publish the processing time to the queue. Create an application to consume from the queue and to determine whether any values are more than 5 seconds. Notify the development team by using an Amazon Simple Notification Service (Amazon SNS) topic.

• Create an Amazon CloudWatch custom metric. Each time a photo is processed, publish the processing time as a metric value. Create a CloudWatch alarm that enters ALARM state if the average of values is greater than 5 seconds. Notify the development team by sending an Amazon Simple Email Service (Amazon SES) message.

• Create an Amazon Kinesis data stream. Each time a photo is processed, publish the processing time to the data stream. Create an Amazon CloudWatch alarm that enters ALARM state if any values are more than 5 seconds. Notify the development team by using an Amazon Simple Notification Service (Amazon SNS) topic.

An application has the following requirements:
✑ Performance efficiency of seconds with up to a minute of latency.
✑ The data storage size may grow up to thousands of terabytes.
✑ Per-message sizes may vary between 100 KB and 100 MB.
✑ Data can be stored as key/value stores supporting eventual consistency.
What is the MOST cost-effective AWS service to meet these requirements?

• Amazon DynamoDB

• Amazon DynamoDB

• Amazon RDS (with a MySQL engine)

• • Amazon ElastiCache

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An application is experiencing performance issues based on increased demand. This increased demand is on read-only historical records pulled from an Amazon
RDS-hosted database with custom views and queries. A Developer must improve performance without changing the database structure.
Which approach will improve performance and MINIMIZE management overhead?

• Deploy Amazon DynamoDB, move all the data, and point to DynamoDB.

• Deploy Amazon ElastiCache for Redis and cache the data for the application.

• Deploy Memcached on Amazon EC2 and cache the data for the application.

• Deploy Amazon DynamoDB Accelerator (DAX) on Amazon RDS to improve cache performance.

A Developer has an Amazon DynamoDB table that must be in provisioned mode to comply with user requirements. The application needs to support the following:
✑ Average item size: 10 KB
✑ Item reads each second: 10 strongly consistent
✑ Item writes each second: 2 transactional
Which read and write capacity cost-effectively meets these requirements?

• Read 10; write 2

• Read 30; write 40

• Use on-demand scaling

• Read 300; write 400

A company wants to containerize an existing three-tier web application and deploy it to Amazon ECS Fargate. The application is using session data to keep track of user activities.
Which approach would provide the BEST user experience?

• Provision a Redis cluster in Amazon ElastiCache and save the session data in the cluster.

• Create a session table in Amazon Redshift and save the session data in the database table.

• Enable session stickiness in the existing Network Load Balancer and manage the session data in the container.

• Use an Amazon S3 bucket as data store and save the session data in the bucket.

An application is using a single-node Amazon ElastiCache for Redis instance to improve read performance. Over time, demand for the application has increased exponentially, which has increased the load on the ElastiCache instance. It is critical that this cache layer handles the load and is resilient in case of node failures.
What can the Developer do to address the load and resiliency requirements?

• Add a read replica instance.

• Migrate to a Memcached cluster.

• Migrate to an Amazon Elasticsearch Service cluster.

• Vertically scale the ElastiCache instance.

A Developer is designing an AWS Lambda function that create temporary files that are less than 10 MB during execution. The temporary files will be accessed and modified multiple times during execution. The Developer has no need to save or retrieve these files in the future.
Where should the temporary file be stored?

• the /tmp directory

• Amazon EFS

• Amazon EBS

• Amazon S3

A Developer is writing an application that runs on Amazon EC2 instances in an Auto Scaling group. The application data is stored in an Amazon DynamoDB table and records are constantly updated by all instances. An instance sometimes retrieves old data. The Developer wants to correct this by making sure the reads are strongly consistent.
How can the Developer accomplish this?

• Set ConsistentRead to true when calling GetItem.

• Create a new DynamoDB Accelerator (DAX) table.

• Set Consistency to strong when calling UpdateTable.

• Use the GetShardIterator command.