Task 3.2: Design High-Performing and Elastic Compute Solutions SAA-C03 Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A company runs a web application on EC2 instances in an Auto Scaling group. The application experiences predictable traffic spikes every weekday from 9 AM to 11 AM, but also has occasional unpredictable bursts due to marketing campaigns. The company wants to ensure the application can handle both patterns without over-provisioning. What should the company do?

   • AConfigure a simple scaling policy that adds one instance when CPU utilization exceeds 70% and removes one when it drops below 30%.
   • BConfigure a target tracking scaling policy based on CPU utilization, and set the minimum and maximum instance counts appropriately.
   • CConfigure a scheduled scaling policy to add instances at 8:45 AM and remove them at 11:15 AM, and also configure a target tracking policy for CPU utilization.
   • DManually adjust the desired capacity of the Auto Scaling group each morning and evening based on the expected load.
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   A company runs a data processing application that analyzes large datasets stored in Amazon S3. The processing job runs for about 30 minutes and requires a large amount of memory (e.g., 32 GB). The job is triggered by a new file upload and must start as soon as possible. The company wants to minimize operational overhead. Which compute solution should the company use?

   • AAWS Lambda with a memory setting of 10,240 MB
   • BAmazon ECS with AWS Fargate, using a task definition with 32 GB memory and a trigger from S3 events.
   • CAWS Batch with a job definition that uses a memory-optimized EC2 instance, triggered by an S3 event.
   • DAmazon EC2 with a memory-optimized instance type, triggered by an S3 event notification that starts an AWS Step Functions workflow.
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4. 23expert · medium

   A company runs a global web application that serves users in North America, Europe, and Asia. The application is deployed on EC2 instances in three AWS Regions. The company wants to reduce latency for users and improve availability. The application uses a database that is replicated across Regions. What should the company do to route traffic to the closest Region?

   • AUse AWS Global Accelerator with endpoints in each Region.
   • BUse Amazon Route 53 with latency-based routing policy.
   • CUse Amazon CloudFront with the EC2 instances as origins.
   • DUse an Application Load Balancer in each Region and a Network Load Balancer in front of them.
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5. 24application · medium

   A company runs a microservices application on Amazon ECS. One service is a worker that processes messages from an SQS queue. The worker is CPU-intensive and the processing time varies with the number of messages. The company wants the worker service to scale automatically based on the number of messages in the queue. What should the company do?

   • AManually adjust the desired task count for the ECS service when the queue depth increases.
   • BConfigure an EC2 Auto Scaling group for the ECS cluster instances based on the SQS queue depth metric.
   • CConfigure an Application Auto Scaling target tracking policy for the ECS service based on the SQS queue depth metric.
   • DUse a scheduled scaling policy for the ECS service to add tasks during known peak hours.
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   An application runs on EC2 instances in an Auto Scaling group. The company wants to scale out when the CPU utilization of the instances exceeds 70% for 5 minutes. Which AWS service is used to monitor the CPU utilization and trigger the scaling action?

   • AAmazon CloudWatch
   • BAWS Config
   • CAWS CloudTrail
   • DAmazon Inspector
   Reveal Solution Discussion Select an answer first