Amazon Relational Database Service (Amazon RDS) is a type of database service which makes the data easy to set up and operate, and scale a relational database in the cloud. AWS RDS also provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups, etc. The Amazon RDS pre-employment test helps tech recruiters and hiring managers to assess Amazon RDS database administration skills of the candidate. The test is designed by experienced subject matter experts (SMEs) to evaluate and hire AWS RDS database administrator as per industry standards. The test helps to screen candidates who possess traits as follows:
Strong experience in AWS architecture and AWS RDS PostgreSQL database.
Knowledge of database management and migration services. Understanding of all the connection settings, RDS instances, and recovery processes.
Familiarity with terms like CloudTrail, SQS FIFO, etc. in the Amazon RDS process.
The AWS RDS technical test has a powerful reporting feature that generates an instant result and shares it with the recruiting team. Both ready-to-use assessments and custom made skills assessments can be provided as per your job description. This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc.
Amazon RDS pre-employment test helps tech recruiters assess Amazon RDS database administration skills of the candidate. Amazon RDS hiring test contains questions based on topics like Cold Storage Volumes, Recovery Process, CloudTrail, AWS Architecture, SQS FIFO, & more.
You have a read-intensive application, hosted in AWS, that uses the MySQL RDS feature in AWS. The CloudWatch metrics are demonstrating high read throughput on the database and this is causing performance issues in the database.
Which of the following options can be used to reduce the read throughput on the MySQL database?
Options
