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Top 50 AWS Interview Questions & Answers

In the last decade, there has been a significant shift in the work environment of businesses and organizations around the globe. This growth has been made possible by technological advancements…

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Top 5 Ways To Defeat Cyberattacks

Table of Contents IntroductionWays to Protect Yourself from Cyberattacks Use strong passwords For better security, use Multi-Factor Authentication. Manage your social media account settings Don't trust every email or message…

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Top 5 Reasons Fortune 100 Companies Still Hire Computer Hacking Forensic Investigators. (CHFI V9)

The internet is a powerful tool for business. This is how companies, large and small, are becoming vulnerable to cyber security attacks. Today, Fortune companies are the preferred choice for…

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Cloud Certification: Top 5 Reasons You Should Consider

The corporate sector is increasingly interested in cloud and its security. The number of industries that are moving to the cloud is increasing, as well as the services offered by…

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The Top 5 Network and Security Certifications You Need to Get in 2021

Every day, the number of innovations and uses in Information Technology is increasing at a rapid pace. People are becoming more interested in the IT industry because they know that…

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re:Invent 2017: AWS to Bring New Partner Perks To APN and Marketplace

Amazon Web Services (AWS), highlighted its ongoing investments in its partner community at the AWS reInvent Global Partner Summit this week. According to Terry Wise (head of Global Alliances at…

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re:Invent 2017 – AWS SageMaker, DeepLens Bring Machine Learning To ‘Everyday Devs’ Machine learning is a key component of many Amazon Web Services (AWS), from its database products to security solutions. The company has made a concerted effort in making machine learning more accessible to all its customers and partners, regardless their level of expertise. AWS announced a partnership with Microsoft in October to create “Gluon”, a deep learning library that aims at helping developers build complex models. It also offers machine learning courses for partners at both intermediate and beginner levels. AWS recently launched the Amazon ML Solutions Lab, which connects data scientists with organizations who are starting their first machine-learning projects. AWS announced the next steps in its efforts to democratize machine-learning at its reInvent conference in Las Vegas this week. The new SageMaker machine-learning platform and DeepLens programmable cam are both the result of “a long history of machine learning at Amazon,” according Andy Jassy (AWS CEO), who presented the products during Wednesday’s reInvent keynote. Amazon SageMaker Now available, Amazon SageMaker allows “everyday developers” to easily create and deploy machine-learning models, Jassy stated in his keynote. SageMaker comes pre-configured algorithms or users can create their own. Jassy says that model-training is as simple as one click. Randall Hunt, AWS Senior Technical Advocate, shared more information about SageMaker in a Wednesday blog post. He said SageMaker consists of three parts:

Authoring: Zero-setup hosted Jupyter notebook interfaces for data exploration and cleaning. These can be run on general instances or GPU-powered instances. Model Training: A distributed service for model building, training,…

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re:Invent 2017 – AWS Makes it Easier to Sort Through Data in S3 Storage and Glacier Storage The two new Amazon Web Services (AWS), features that were unveiled at this week’s re:Invent conference aim to make the Amazon S3 storage and AWS Glacier storage services more useful and efficient for analytics. AWS CEO Andy Jassy presented the services, Amazon S3 Select, and Glacier Select, during Wednesday’s re:Invent keynote presentation. Jassy stated that Amazon S3 is the most popular service in the industry for data lakes. However, users often ask for a faster way to filter data so they only get the relevant results the first time. Amazon S3 Select is designed to address this issue by “[enabling] apps to retrieve only a subsection of data from an object using simple SQL expressions,” Randall Hunt, Senior Technical Evangelist at AWS, stated in a blog post. This results in faster processing times and lower resource utilization costs. Amazon S3 Select is currently available for free preview. Sign up here to get started. The new Glacier Select service, which is available for archival data storage, performs a similar function. Glacier Select allows users to run queries directly on Glacier data and retrieves only the relevant data in minutes. In his keynote, Jassy explained that customers have the option of using Glacier to supplement their Amazon S3 data lake. Glacier Select is now available, with pricing determined by the amount of data scanned and retrieved. More information is available here. More information from AWS reInvent 2017:

Sumerian: AWS Helps Developers Build VR and 3-D Apps AWS Launches Cloud-Based Video Processing Service VMware and AWS Announce Updates for Their Hybrid Cloud AWS Launches Machine Learning Competency to…

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AWS Launches a Machine Learning Competency for Partners at re:Invent 2017. AWS Partner Network (APN), members with data science expertise can now apply to become certified Amazon Web Services (AWS), machine learning partners. The AWS Machine Learning competency was launched this week in Las Vegas at AWS reInvent 2017 Global Partner Summit. It is open to APN partners who have solutions that “help organizations solve data challenges, enable data learning and data science workflows or offer SaaS-based capabilities that enhance end apps with machine intelligence,” AWS stated in its announcement. The machine learning competency includes three categories: Data Services (Platform Providers), SaaS/API providers, and Data Services (Data Services). Partners must be registered as advanced-tier APN Technology Partners to be eligible for any of these. Additional requirements are listed in this AWS datasheet.

A Business level+ Support Plan At least four references from customers citing machine-learning projects the partner has completed within the last 12 months. At least two references must be publically…

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re:Invent 2017 – AWS Launches Cloud Based Video Processing Service Amazon Web Services (AWS), has revealed a new suite video-editing products and delivery products that are based on the acquisition of Elemental Technologies, a digital media company, two years ago. The entire AWS Media Services range was announced Monday at the 2017 AWS reInvent conference in Las Vegas. It is now generally available as a pay-as you-go model. According to the product website, the suite includes five solutions that “make it easy to create reliable, broadcast-quality video workflows within the Cloud.” Each solution can be used individually or in combination depending on the user’s needs for video processing, editing, or packaging. These are the five solutions:

AWS Elemental MediaConvert is a cloud-based transcoding service that allows video broadcasting, multiscreen delivery, or over-the top delivery. It's a video streaming model similar to Netflix that is independent from…

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