Task 3.3: Determine a Strategy to Improve Performance. SAP-C02 Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A company runs a multi-tier web application on AWS. The application's database is experiencing high read load, causing slow response times for users. The application is read-heavy, and the data is not frequently updated. The team needs to improve performance with minimal changes to the application code. Which solution should the team implement?

   • AAdd an Amazon ElastiCache cluster in front of the database to cache frequently accessed data.
   • BMigrate the database to a larger instance type to handle the increased read load.
   • CEnable Multi-AZ on the database to provide a read replica for the application to use.
   • DRefactor the application to use a NoSQL database that is optimized for read-heavy workloads.
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2. 12expert · hard

   A company runs a real-time analytics application on AWS that ingests data from thousands of devices. The application uses Amazon Kinesis Data Streams and AWS Lambda for processing. The company is experiencing high latency in processing the data. The team has identified that the Lambda function is the bottleneck. The function is CPU-bound and takes 30 seconds to process a batch of records. The team is considering increasing the memory of the Lambda function to improve performance. What is the most important trade-off to consider?

   • AIncreasing memory also increases the CPU allocation, which may reduce processing time but will increase the cost per invocation.
   • BIncreasing memory will reduce the number of concurrent invocations, which may affect the application's ability to handle spikes in data.
   • CIncreasing memory will require the function to be re-deployed, which may cause downtime for the application.
   • DIncreasing memory will increase the execution time limit, allowing the function to process more data per invocation.
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4. 13application · medium

   A company runs a web application on AWS that uses Amazon RDS for PostgreSQL. The application is experiencing slow response times. The team has enabled Performance Insights and noticed that the database is spending a significant amount of time on 'wait' events related to 'Client:ClientRead'. What does this indicate?

   • AThe database is experiencing a CPU bottleneck, and the wait events are a symptom of the CPU being saturated.
   • BThe database is waiting for the application to send more data, indicating a network bottleneck.
   • CThe database is waiting for the application to commit a transaction, indicating a lock contention issue.
   • DThe application is not reading the data fast enough, causing the database to wait for the client to consume the data.
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5. 14application · medium

   A company runs a web application on Amazon EC2 instances behind an Application Load Balancer. The application's response time has increased significantly. The team has enabled detailed CloudWatch metrics and noticed that the 'TargetResponseTime' is high, but the CPU utilization of the EC2 instances is low. What is the most likely cause of the performance issue?

   • AThe ALB is not configured with enough idle timeout, causing connections to be dropped.
   • BThe EC2 instances are running out of memory, causing the application to swap to disk.
   • CThe application is CPU-bound but the CloudWatch metrics are not being collected at a high enough resolution.
   • DThe application is waiting on a downstream dependency, such as a database or an external API.
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6. 15foundation · easy

   A solutions architect is considering adding a caching layer to improve performance. What trade-off must be evaluated?

   • AIncreased cost and complexity versus improved response times
   • BHigher security risk versus better performance
   • CReduced availability versus lower latency
   • DSimpler architecture versus higher maintenance effort
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