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Top AWS Certified DevOps Engineer Interview questions answers on Deployment, Provisioning & Automation
1. Can you explain the deployment process in AWS? The deployment process in AWS involves creating and uploading the application code, setting up necessary infrastructure, and configuring the environment. The steps include creating an AWS Elastic Beanstalk environment, uploading the application code, configuring the environment and deploying the application.
By datacademy ai3 years ago in Education
Everything you Need to Know About MongoDB Client
Need to Know About MongoDB Client MongoDB is a popular relational database management system that was introduced in 2009. It is widely used in the industry because of its versatility and wide range of features. Unlike older systems like MySQL, MongoDB eliminates the need to create a database and define data types every time a new project is started.
By datacademy ai3 years ago in Education
Top AWS Certified DevOps Engineer Interview questions answers on Deployment, Provisioning & Automation
Deployment, Provisioning & Automation 1. Can you explain the deployment process in AWS? The deployment process in AWS involves creating and uploading the application code, setting up necessary infrastructure, and configuring the environment. The steps include creating an AWS Elastic Beanstalk environment, uploading the application code, configuring the environment and deploying the application.
By datacademy ai3 years ago in Education
Top Data Science Programming Languages
If you are interested in getting into the field of data science, you need to become proficient in several programming languages because a single language can’t solve problems in all areas. Without mastering the specific ones frequently used in data science, your skillset will be incomplete. Demand for these languages, like Python. A lot of these demands are directly associated with a set of thriving technologies that are now gaining mainstream adoption. The momentum from the cloud, artificial reality (AR), virtual reality (VR), artificial intelligence (AI), machine learning (ML), and deep learning is driving the demand for certain languages. Moreover, specific languages complement different job roles in data science, like business analyst, data engineer, data architect, or machine learning (ML) engineer.
By datacademy ai3 years ago in Education
Top 30 Latest AWS interview Questions on Amazon DynamoDB
Here are some AWS certification interview questions and answers on Amazon DynamoDB 1. What is Amazon DynamoDB? Amazon DynamoDB is a fully-managed NoSQL database service provided by AWS. It is designed to provide seamless and scalable performance with high availability and durability. DynamoDB is ideal for applications that require low latency and high throughput.
By datacademy ai3 years ago in Education
Top 20+ AWS SQS Interview Questions and Answers
1. What is AWS SQS? Amazon Simple Queue Service (SQS) is a fully managed message queue service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS allows you to transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be available. It is commonly used for asynchronous communication between microservices, distributed message processing, message buffering and batching, and decoupling event sources from event consumers.
By datacademy ai3 years ago in Education
Getting Started with Apache Spark: A Comprehensive Guide
Apache Spark is an open-source data processing framework that has been gaining immense popularity in recent years. It is widely used for large-scale data processing and analytics due to its ability to process big data faster and more efficiently than traditional big data processing frameworks like Hadoop MapReduce.
By datacademy ai3 years ago in Education
Top 50 Ansible Interview Questions And Answers in 2023
1. What is Ansible and what makes it stand out from the rest of the Configuration Management tools? Ansible is an open-source IT Configuration Management, Deployment & Orchestration tool. It aims to provide large productivity gains to a wide variety of automation challenges.
By datacademy ai3 years ago in Education
Top Data Science Programming Languages
If you are interested in getting into the field of data science, you need to become proficient in several programming languages because a single language can’t solve problems in all areas. Without mastering the specific ones frequently used in data science, your skillset will be incomplete. Demand for these languages, like Python. A lot of these demands are directly associated with a set of thriving technologies that are now gaining mainstream adoption. The momentum from the cloud, artificial reality (AR), virtual reality (VR), artificial intelligence (AI), machine learning (ML), and deep learning is driving the demand for certain languages. Moreover, specific languages complement different job roles in data science, like business analyst, data engineer, data architect, or machine learning (ML) engineer.
By datacademy ai3 years ago in Education
