Ends in
00
days
00
hrs
00
mins
00
secs
ENROLL NOW

Get any AWS Specialty Mock Test for FREE when you Buy 2 AWS Pro-Level Practice Tests – as LOW as $10.49 USD each ONLY!

amazon aws cheat sheets

Home » amazon aws cheat sheets

PartyRock: AI Python Code Checker for Tech Interview Simulation

2024-11-05T09:32:12+00:00

Bookmarks What is Party Rock? AI Code Checker Tools Comparison UI Components of our PartyRock-based Python Code Checker Python Interview Topics Covered by the PartyRock app Use-cases and Applications of PartyRock-based Python Code Checker  Hands-on Exercise: Getting Started with PartyRock Final Remarks References Are you a recent college graduate or someone transitioning into a tech career, striving to succeed in coding interviews focused on Python? Indeed, Python ranks among the most common and flexible programming languages in the tech world. Perhaps you have explored various ways to study Python [...]

PartyRock: AI Python Code Checker for Tech Interview Simulation2024-11-05T09:32:12+00:00

Amazon SageMaker Data Wrangler

2024-10-03T13:28:49+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2024-10-03T13:28:49+00:00

How to Install Docker on Ubuntu using Amazon EC2

2024-09-20T08:10:46+00:00

This tutorial will assist in setting up Docker on an Amazon EC2 Ubuntu instance. Docker's containerization and Ubuntu's user-friendliness make cloud application deployment and management simple. Amazon EC2 provides scalable infrastructure for hosting Docker containers, allowing for smooth app management and scaling. To easily set up Docker on your EC2 instance, just follow this tutorial. What is Docker? Docker is an open-source platform that simplifies the process of building, deploying, and managing applications within isolated containers. These containers bundle the application code along with all its dependencies, ensuring the software behaves the same across different environments, whether on a local [...]

How to Install Docker on Ubuntu using Amazon EC22024-09-20T08:10:46+00:00

Amazon SageMaker Feature Store

2024-09-20T07:08:44+00:00

Amazon SageMaker Feature Store Cheat Sheet Amazon SageMaker Feature Store is a centralized repository for managing machine learning features. It simplifies the process of data exploration, model training, and batch predictions by providing a unified view of your features. Enhances ML model development and deployment efficiency. How does it work? SageMaker Feature Store stores features in feature groups. A feature group is a collection of related features that can be used for a specific task. Feature groups can be created from various data sources, such as Amazon S3, Amazon RDS, and Amazon DynamoDB. There are three modes that a feature [...]

Amazon SageMaker Feature Store2024-09-20T07:08:44+00:00

Amazon Redshift Serverless

2024-07-19T00:24:57+00:00

Bookmarks Use Cases Features Components Monitoring Security Pricing Amazon Redshift Serverless Cheat Sheet Amazon Redshift Serverless allows users to run and scale analytics without managing the underlying data warehouse infrastructure. It dynamically adjusts compute capacity to handle fluctuating query loads, delivering high performance and efficiency for analytical workloads. Amazon Redshift Serverless Use Cases Ideal for workloads with unpredictable usage patterns, where traditional data warehousing solutions may need to be more cost-effective and practical. Supports integration with BI tools like Tableau and Amazon QuickSight for real-time and historical data analysis. Seamlessly integrates [...]

Amazon Redshift Serverless2024-07-19T00:24:57+00:00

Amazon Q

2024-04-25T06:52:12+00:00

Bookmarks Features Sub-modules Pricing References Amazon Q Cheat Sheet Amazon Q is an AI assistant that’s designed to be generative, meaning it can generate content, solve problems, and perform tasks using the data and expertise within your company. Use Cases Amazon Q is designed to provide quick and relevant answers to questions, streamline tasks, speed up decision-making, and foster creativity and innovation at work. Types Amazon Q Business: This version of Amazon Q can be customized to your business by connecting it to your company’s data, information, and systems. Amazon Q Developer: This version [...]

Amazon Q2024-04-25T06:52:12+00:00

Amazon Managed Workflows for Apache Airflow

2024-04-25T06:42:18+00:00

Bookmarks Key Features Security Pricing References Amazon Managed Workflows for Apache Airflow (MWAA) Cheat Sheet Amazon MWAA is a service that helps you manage and automate your data workflows using Apache Airflow. Workflows are designed as Directed Acyclic Graphs (DAGs) using Python. Use Cases Complex Data Workflows: Handles complex data processing tasks. ETL Jobs: Coordinates Extract, Transform, Load (ETL) processes. Machine Learning: Prepares datasets for machine learning models. Key Features Deployment: Easy setup and operation. Scaling: Automatically adjusts to match workload demands. Security: Built-in measures for data protection. Monitoring: Comprehensive tracking of workflows. Cost-Effectiveness: [...]

Amazon Managed Workflows for Apache Airflow2024-04-25T06:42:18+00:00

AWS Glue Data Quality

2024-04-17T06:27:15+00:00

Bookmarks Features Pricing References AWS Glue Data Quality Cheat Sheet AWS Glue Data Quality is a service that provides a way to monitor and measure the quality of your data. It’s part of the AWS Glue service and is built on the open-source DeeQu framework. Use Cases Analyzing data sets that are cataloged in the AWS Glue Data Catalog. Continuously monitoring the quality of data in a data lake. Adding a layer of data quality checks to traditional AWS Glue jobs. AWS Glue Data Quality uses a domain-specific language called Data Quality Definition Language [...]

AWS Glue Data Quality2024-04-17T06:27:15+00:00

AWS Glue DataBrew

2024-04-12T14:30:21+00:00

Bookmarks Features Components Pricing References AWS Glue DataBrew Cheat Sheet AWS Glue DataBrew is a tool designed to streamline your data analysis process. It allows you to interact with your data directly, eliminating the need for complex coding. With its extensive library of over 250 pre-built transformations, you can easily clean, normalize, and format your data, preparing it for insightful analysis. AWS Glue DataBrew is commonly used for: Reducing the time required to prepare data for analytics and machine learning. Automating data preparation tasks with a wide range of ready-made transformations. Facilitating collaboration [...]

AWS Glue DataBrew2024-04-12T14:30:21+00:00

Amazon Kendra

2024-03-23T06:15:27+00:00

Bookmarks Features Benefits Use Cases Document Types and Formats Supported Data Sources Querying Data Use of Tags Pricing Amazon Kendra Cheat Sheet Amazon Kendra is a highly scalable, intelligent enterprise search service. It utilizes machine learning to search unstructured data and improve accuracy in search results. It’s tightly integrated with other AWS services, such as Amazon S3 and Amazon Lex. It offers enterprise-grade security. Features Natural Language Processing (NLP): Amazon Kendra uses NLP to get highly accurate answers without the need for machine learning (ML) expertise. Fine-tuning Search Results: [...]

Amazon Kendra2024-03-23T06:15:27+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!