35+ Cloud Engineer interview questions Ultimate 2023 guide

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The query is essentially a litmus test to gauge your hands-on experience with AWS-based applications. This question also sheds light on your problem-solving skills and ability to enhance system efficiency, both of which are critical in the role of a Cloud DevOps Engineer. As a cloud DevOps engineer, you’re the custodian of your company’s cloud infrastructure, and that includes safeguarding the data stored therein.

By asking this question, interviewers want to gauge your hands-on experience and ability to analyze and act upon the insights provided by these tools. This question is asked to evaluate your technical understanding of AWS and its features, particularly auto-scaling. Auto-scaling is a key aspect of cloud computing that allows businesses to optimize resource usage and minimize costs.

Can AWS Config aggregate data across different AWS accounts?

Infrastructure as a service (IaaS) provides computing resources such as servers, storage, and networking over the internet. Customers have control over the operating systems, storage, and deployed applications that run on infrastructure — but the provider manages the underlying infrastructure. With IaaS, companies no longer have to purchase, store and maintain their physical servers.

The interviewer wants to understand your expertise in managing and executing this process. They are interested in how you strategize, plan, and implement data migration, which can be a complex and impactful task. They also want to gauge your knowledge of AWS services and tools used for such processes. CloudWatch collects monitoring and operational data to provide a unified view of AWS resources, applications, and services that run on AWS. It is used for real-time performance monitoring, with features such as dashboards, alarms, anomaly detection, and insights. We hire professional interviewers (people with multiple years of experience interviewing candidates) to help us create our interview questions and write answer examples.

Performance

The heart of an AWS Engineer’s job is understanding and implementing various AWS services. Elastic Beanstalk is a key service that simplifies the deployment, aws cloud engineer management, and scaling of applications. It allows developers to focus on their code without worrying about the underlying infrastructure.

  • Auto-scaling is an essential concept for cloud computing professionals, and interviewers want to gauge your understanding of this feature in AWS.
  • They also want to know that you can spot trends in your data and make proactive changes to ensure that your data engineering jobs are running smoothly.

Start by briefly describing the different types of databases available on AWS (RDS, DynamoDB, etc.) and then provide an example of when you have used each type. Then discuss any pros and cons that you are aware of for each database type and explain how you would choose which type to use in a given situation. Finally, if you have experience with other cloud platforms such as Google Cloud Platform or Microsoft Azure, mention this as well and explain how your experience translates across different cloud providers. Common AWS Data Engineer interview questions, how to answer them, and sample answers from a certified career coach. AWS Lambda is a serverless computing solution that enables you to execute and oversee code without the need to manage servers. With Lambda, you only pay for the actual compute power consumed during the execution of your code.