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NEW QUESTION 41
A company has a production environment running on Amazon RDS for SQL Server with an in-house web application as the front end. During the last application maintenance window, new functionality was added to the web application to enhance the reporting capabilities for management. Since the update, the application is slow to respond to some reporting queries.
How should the company identify the source of the problem?

  • A. Install and configure Amazon CloudWatch Application Insights for Microsoft .NET and Microsoft SQL Server. Use a CloudWatch dashboard to identify the root cause.
  • B. Create a support request and work with AWS Support to identify the source of the issue.
  • C. Use AWS X-Ray deployed with Amazon RDS to track query system traces.
  • D. Enable RDS Performance Insights and determine which query is creating the problem. Request changes to the query to address the problem.

Answer: D

Explanation:
Amazon RDS Performance Insights is a database performance tuning and monitoring feature that helps you quickly assess the load on your database, and determine when and where to take action. Performance Insights allows non-experts to detect performance problems with an easy-to-understand dashboard that visualizes database load. https://aws.amazon.com/rds/performance-insights/

 

NEW QUESTION 42
A company is building a new web platform where user requests trigger an AWS Lambda function that performs an insert into an Amazon Aurora MySQL DB cluster. Initial tests with less than 10 users on the new platform yielded successful execution and fast response times. However, upon more extensive tests with the actual target of 3,000 concurrent users, Lambda functions are unable to connect to the DB cluster and receive too many connections errors.
Which of the following will resolve this issue?

  • A. Increase the number of Aurora Replicas
  • B. Increase the instance size of the DB cluster
  • C. Edit the my.cnf file for the DB cluster to increase max_connections
  • D. Change the DB cluster to Multi-AZ

Answer: B

Explanation:
Explanation
Max_connection is a formula in RDS parameter group:
GREATEST({log(DBInstanceClassMemory/805306368)*45},{log(DBInstanceClassMemory/8187281408)*100
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.Performance.htm You can increase the maximum number of connections to your Aurora MySQL DB instance by scaling the instance up to a DB instance class with more memory, or by setting a larger value for the max_connections parameter in the DB parameter group for your instance, up to 16,000. You must change a larger value for the max_connections parameter in the DB parameter group, not edit my.cnf, it is not physical server hosting MySQL.

 

NEW QUESTION 43
A company uses Amazon DynamoDB as the data store for its ecommerce website. The website receives little to no traffic at night, and the majority of the traffic occurs during the day. The traffic growth during peak hours is gradual and predictable on a daily basis, but it can be orders of magnitude higher than during off-peak hours.
The company initially provisioned capacity based on its average volume during the day without accounting for the variability in traffic patterns. However, the website is experiencing a significant amount of throttling during peak hours. The company wants to reduce the amount of throttling while minimizing costs.
What should a database specialist do to meet these requirements?

  • A. Use reserved capacity. Set it to the capacity levels required for peak daytime throughput.
  • B. Use on-demand capacity.
  • C. Use provisioned capacity. Create an AWS Application Auto Scaling policy to update capacity based on consumption.
  • D. Use provisioned capacity. Set it to the capacity levels required for peak daytime throughput.

Answer: C

Explanation:
Explanation
On-demand mode is a good option if any of the following are true: You create new tables with unknown workloads. You have unpredictable application traffic. You prefer the ease of paying for only what you use.
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.ht Amazon DynamoDB auto scaling uses the AWS Application Auto Scaling service to dynamically adjust provisioned throughput capacity on your behalf
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html

 

NEW QUESTION 44
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