Very often people ask for strong reasons why they should consider AWS for their infrastructure needs. Although there are hundreds and thousands of customers utilizing AWS in more than 190 countries, with hundreds of case studies including companies such as Netflix, Pinterest, Dow Jones, SAP, Coursera, NASA / JPL, Reddit, Vodafone, Flipboard, Flipboard, Expedia & LinkedIn but most People who manage their infrastructure at home or data centers located together, may still have concerns about costs, security, data privacy, and more.
AWS interview questions and answers
Q1. When designing architecture for the solution in question, what is the role of Ami?
The Amazon engine image (fishy) functions as a virtual machine and instance template in Virtual Cloud obtained from AMI. AWS offers a previous unprocessed fishy which we can choose when we launched a virtual instance, some AMI is not free, therefore can be purchased from the aws certified solutions architect salary Cloud market. We can choose to produce our own customized AMI that will support us to save space on AWS. If we don’t need a set of software on the installation, it is easier to adjust the AMI to do that. This makes it cost effective because we can eliminate things that are excessive.
Q2. What should be done if there is a direct AWS connection failure?
When connection failure occurs, if the AWS backup configuration is immediately set, the direct connection will switch to the second. Sprintzeal It is important to activate two-way forwarding detection (BFD) when configuring the connection to confirm fast detection. Next, if the IPSec VPN backup connection setting is configured all Virtual Private Cloud (VPC) traffic will be failover to a mechanical VPN connection. Traffic to and from public resources such as Amazon S3 will be transferred via the internet. If the reserve link AWS Direct Connect does not exist or the IPSec VPN link is lost, the Amazon VPC traffic will be given if a failure occurs.
Q3. Differentiate Amazon RDS, Dynamodb, and Redshift?
Amazon Relational Database Service (RDS) is a database management service for relational databases. RDS monitors patching, increase, and back up database data without user intervention. RDS only manages structured data.
Dynamodb, meanwhile, is a NOSQL database service and NOSQL can handle unstructured data.
Redshift is a completely different service and functions as a warehouse for data and is used in data analysis.
Q4. How do data to Amazon Redshift loaded from other data resources?
To pull data together and load it from Amazon EC2, DynamoDB, and Amazon RDS, we need to use the copy command to load data in sequential order, directly to the Amazon Redshift from Amazon EMR, Amazon DynamoDB, or the host activated SSH.
AWS data pipes provide high octane performance, reliable solutions, tolerant errors to contain data from various AWS data resources. AWS data pipe can be disbursed to determine the data source, the desired data transformation, and then run the imported script that has been composed to load data to the Amazon Redshift.
Q5. How do you transfer domain names that are currently registered with Amazon Route 53 without affecting web traffic?
First, DNS record data for domain names must be OK. This note is generally available in the form of “zone files” that can be obtained and can be obtained from existing DNS providers. After DNS record data is accepted, route management console 53 or a simple web service interface can be used to produce a host zone that will keep DNS records for domain names and pursue the transfer process. Also, there are steps such as updating the name server for domain names to the connected zone hosted. To complete the process, we need to contact the registrant with whom the domain registration is done and follow that the transfer process is a must. Because the registrar began to spread the new name server delegation, the DNS query would begin to be answered.
Q6. What tools used to rotate the server?
To play the server, we need to rotate our own server and use the AWS application programming interface tool. That scripts are written in bash, perl, or other languages of the user’s choice.
By using the configuration management system and cutlery such as dolls or second generation of opscode chefs. Tools such as scal can also be used.