Additionally, I employ tools such as AWS Organizations and Service Control Policies (SCPs) to manage account-level restrictions and maintain a clear separation of duties. For securing data in transit, it’s important to enforce secure communication protocols such as HTTPS and TLS for all connections between clients and servers. This can be achieved by configuring Elastic Load Balancers (ELBs) with SSL certificates and enabling security features like Server Name https://remotemode.net/ Indication (SNI). Furthermore, utilizing Virtual Private Cloud (VPC) peering or AWS Direct Connect ensures that your network traffic remains private and isolated from the public internet. Availability zones (AZs) are distinct, isolated locations within an AWS region, each with independent power, cooling, and networking. They provide redundancy and fault tolerance for your resources, allowing you to distribute workloads across multiple AZs in a single region.
After pushing the Docker image to ECR, we proceed with creating an ECS task definition that references the image stored in ECR. The task definition specifies the required resources, such as CPU and memory, along with any environment variables or configurations needed for the container to run properly. Reserved instances are purchased as one-year or three-year reservations, and in return, you get very low hourly based pricing when compared to the on-demand cases that are billed on an hourly basis. You can use a CI to ascertain what your AWS resource looks like at any given point in time. Whereas, by using CloudTrail, you can quickly answer who made an API call to modify the resource. You can also use Cloud Trail to detect if a security group was incorrectly configured.
Will your standby RDS be launched in the same availability zone as your primary?
As an AWS Cloud Engineer, you’ll be expected to have a deep understanding of AWS infrastructure and its components. This question helps the interviewer assess your knowledge of the AWS ecosystem and your ability to design and implement cloud-based solutions. Running a database on an EC2 instance https://remotemode.net/become-an-aws-cloud-engineer/ requires manual configuration and maintenance, including tasks like managing backups, applying patches, and ensuring high availability. While this approach provides more control over the underlying infrastructure, it also demands additional time and resources to manage effectively.
Data Engineering Interview Questions: by Think Data Oct, 2023 – Medium
Data Engineering Interview Questions: by Think Data Oct, 2023.
Posted: Mon, 02 Oct 2023 07:00:00 GMT [source]
The interviewer wants to assess your understanding of AWS infrastructure and your ability to design and implement a robust disaster recovery plan. This showcases your technical knowledge, strategic thinking, and problem-solving skills, which are all essential for an AWS Engineer. Demonstrating your expertise in this area will assure the hiring manager that you can effectively minimize downtime and data loss in the event of a disaster. Another important feature is auto-scaling, which allows you to automatically adjust the number of instances based on demand or predefined conditions.
What are the three types of clouds individuals or organizations can use?
Along with this, I use analytics tools to gain insights into user behavior and device usage patterns. By analyzing this data, I can identify trends and patterns that help me optimize the application for specific devices and platforms. Be prepared to discuss your experience with the AWS services mentioned in the question. Talk about any projects you have worked on that used these services and how they were used. If you don’t have direct experience, talk about your knowledge of the platform and the services and how it would help you be successful in the role. Packing switching simply refers to dividing each internet server into multiple internet servers.
This demonstrates your ability to balance cost-effectiveness with technical efficiency in the cloud environment. Scalability in cloud computing refers to the ability of a cloud-based system or service to handle growing or diminishing workload demands efficiently. It allows organizations to adjust the available resources in response to changes in business requirements, such as increased user traffic or decreased processing needs. Scalability ensures that applications and services can maintain optimal performance levels, despite fluctuations in demands.