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Key Features

  • 24+ hours of Instructor-LED Training

  • Course delivered by Certified Professionals with 12+ years of experience

  • Real-world projects and case studies

  • Access to Kovid Cluster for 3 years

  • Course completion certificate

  • Free career counseling by industry experts

  • 100% money-back guarantee*

Quick Stats


Hadoop is the leading framework for Big Data -Forbes

The worldwide market for Hadoop is projected to grow double, and is estimated to reach $203 billion by 2020 -IDC

Big Data professionals earn 30 to 40 percent more salaries than other IT professionals -Randstad

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Course Description

About Apache Spark

Apache Spark is a fast, powerful open source in-memory data processing engine designed for fast computations, which allows you to run programs 10x faster on disk and 100x faster on memory. This all new processing engine powers the world of Big Data applications, thereby making it extremely easy to work with large data sets.

About Scala

‘Scalable Language’ shortened as ‘Scala’ is a high-level programming language that combines the features of object-oriented programming and functional programming. The language runs on the Java Virtual Machine (JVM) as well as on the android, which outlines it as a convenient programming language for both large server programs and web framework.

Scala: The Red-Hot Programming Language for Apache Spark

When you ask any technology expert about – ‘which is the best programming language for Big Data applications?’, their first answer will perhaps be the ‘Scala’. The reason is Apache Spark written in Scala and it reduces the burden of the programmers by limiting the code snippets to a couple of lines when compared with the Java, C++, etc.

In the recent times, Scala has gained a lot of recognition in the global market and bagged large prominence amid the big data professionals.

Why should you go for Apache Spark & Scala training?

Though it can be admitted that Scala is hard, but it is really worth the investment. Frankly speaking, the usage and popularity of Spark and Scala is on the rise, and there is proven evidence for an increased number of open positions for Spark and Scala developers.

  • Companies like LinkedIn, Twitter, and Foursquare are already using the Scala programming language
  • Employers including eBay, Yahoo, Amazon, etc. are using Spark for their quick extraction of insights from the massive data sets.
  • The median salary of a Scala developer is $102,500 – Payscale.
  • There is a strong rise in the number of Apache Spark and Scala jobs advertised in 2017 – Indeed.

Gain the Extra Edge with KOViD Training

The Apache Spark & Scala certification training course from KOViD Academy will help the participants to gain a clear understanding of the Apache Spark framework, and enables them to build Spark applications using the Scala programming language. The training program will allow the participants to master the core concepts such as Spark Streaming, Spark SQL, MLlib, and Graphx.


  • Knowledge of any programming language
  • Basic understanding of databases

Who is the right candidate for this course?

This course is designed for:

  • Developers & Programmers
  • Manual & Automation Testers
  • Database Administrators
  • Data Scientists and Analysts
  • Students
  • Professionals who are looking to gain competence on the emerging big data tools.


By the end of this course, you will be able to:

  • Determine the limitations of Hadoop, and the role Spark plays in surpassing these limitations
  • Understand the fundamentals of Scala programming language
  • Apply control structures, loops, collections, etc.
  • Understand object oriented and functional programming in Scala
  • Explain the role of RDDs in the Spark
  • Implement Spark applications on YARN (Hadoop)
  • Use Spark SQL queries to perform various computations
  • Stream data using Spark Streaming API
  • Implement Machine Learning algorithms in Apache Spark using MLLib API
  • Understand GraphX API and implement graph algorithms
  • Extend the capabilities of Spark using PySpark and SparkR

Course Curriculum

  Download Brochure

Module 1: Big Data and Spark

  • Overview of Big Data and Spark
  • MapReduce limitations
  • Spark History
  • Spark Architecture
  • Spark and Hadoop Advantages
  • Benefits of Spark + Hadoop
  • Introduction to Spark Eco-system
  • Practice Environment Set Up

Module 2: Scala Programming

  • Scala foundation
  • Features of Scala
  • Setup Spark and Scala on Ubuntu and Windows OS
  • Install IDE’s for Scala
  • Run Scala Codes on Scala Shell
  • Understanding Data types in Scala
  • Implementing Lazy Values
  • Control Structures
  • Looping Structures
  • Functions
  • Procedures
  • Collections
  • Arrays and Array Buffers
  • Maps, Tuples and Lists

Module 3: Object Oriented Programming with Scala

  • Implementing Classes
  • Implementing Getter & Setter
  • Object & Object Private Fields
  • Implementing Nested Classes
  • Using Auxiliary Constructor
  • Primary Constructor
  • Companion Object
  • Apply Method
  • Understanding Packages
  • Override Methods
  • Type Checking
  • Casting
  • Abstract Classes

Module 4: Functional Programming with Scala

  • Understanding Functional programming in Scala
  • Implementing Traits
  • Layered Traits
  • Rich Traits
  • Anonymous Functions
  • Higher Order Functions
  • Closures and Currying
  • Performing File Processing

Module 5: Spark Foundations

  • Spark Shell and PySpark
  • Basic operations on Shell
  • Spark Java projects
  • Spark Context and Spark Properties
  • Persistence in Spark
  • HDFS data from Spark
  • Implementing Server Log Analysis using Spark

Module 6: Resilient Distributed Datasets (RDD)

  • Understanding RDD
  • Loading data into RDD
  • Scala RDD, Paired RDD, Double RDD & General RDD Functions
  • Implementing HadoopRDD, Filtered RDD, Joined RDD
  • Transformations, Actions and Shared Variables
  • Spark Operations on YARN
  • Sequence File Processing
  • Partitioner and its role in Performance improvement

Module 7: Spark Streaming & Spark SQL

  • Introduction to Spark Streaming
  • Introduction to Spark SQL
  • Querying Files as Tables
  • Text file Format
  • JSON file Format
  • Parquet file Format
  • Hive and Spark SQL Architecture
  • Integrating Spark & Apache Hive
  • Spark SQL performance optimization
  • Implementing Data visualization in Spark

Module 8: GraphX & MLLib

  • Graph theory foundations
  • Property graphs
  • Graph traversal queries
  • MLLib data formats
  • Data Frames
  • MLLib library functions
  • Putting all the pieces together


Demand for cloud services continues to be one of the burning topics in the field of technology. The market share results from Synergy Research Group shows that AWS holds a sizable market lead, leaving both Microsoft and Google far behind in the race. The results undeniably state that Amazon Web Services (AWS) is the reigning king of the cloud computing market.

Today, AWS is categorized as the highly mature and enterprise-ready service provider, encircled with wide-ranging capabilities for governing many resources and users. According to Amazon’s Q1 Financial results, AWS third quarter revenue was $3.66B, compared to $2.56B during the same period the previous year, achieving 43% growth.

The rise in the revenue figures informs that a massive trend is going towards AWS implementations and migrations. The market report from Wikibon has predicted that AWS by the end of 2022 will reach $43B in revenue.

The market for AWS is growing bigger every day, and any mistake is completely inexcusable while preparing for the AWS interviews. To help you with the preparations, we have listed top interview questions and answers that are important from AWS Architect interview point of view. Before proceeding with the main objective of this article, let us look at the importance of AWS certification.

1. What is AWS Certification?

To outshine the job rivals, AWS Certification is used to disclose your technical knowledge with a globally recognized credential. Amazon Web Services credential highlights your industry-ready skills for designing, deploying, and operating infrastructure and applications on AWS.

Interested about AWS. Enroll now and Get AWS Certified. For more information, click here.

2. What is a Cloud?

A cloud is a collaboration of hardware, storage, networks, interfaces, and services that enable to offer computing as a service. A cloud has three users:

  • Cloud service providers
  • Business management users
  • End users

3. What is Cloud Computing?

The delivery of on-demand computing resources, such as applications, storage space, data centers, etc. over the Internet on pay-per-use basis is known as ‘Cloud Computing’. In simple terms, cloud computing is something that enables you to store and access data over the Internet instead of your local hard drive.

4. List some of the Examples of Cloud Computing.

Following are the few of the examples of cloud computing.

  • Email Communication – Gmail, Yahoo Mail, Hotmail, etc.
  • Social Networking – Facebook, Twitter, LinkedIn, etc.
  • Document/Spreadsheet Hosting services – Google Docs, Zoho Office, etc.

5. What are the advantages with Cloud Computing?

Following are the key advantages of using cloud computing techniques.

  • Data storage & data backup
  • Powerful server capabilities
  • Elasticity
  • Increase in productivity
  • IT Sandboxing capabilities
  • Cost-effective and time-saving

6. Name the Cloud Service Models.

There are three cloud service models, namely:

  • Software as a Service (SaaS)
  • Platform as a Service (PaaS)
  • Infrastructure as a Service (IaaS)
  • Function as a Service (FaaS)

7. What is SaaS? List some examples.

Software as a Service (SaaS) is a subscription-based model that allows to access softwares and functions hosted in the Cloud, via Internet.

Examples of SaaS are: Office365, Netflix, Citrix GoTo Meeting, Google Apps, etc.

8. What is PaaS? List some examples.

Platform as a Service (PaaS) is a computing platform that enables the developers to use the components like databases, workflow engines, emails, etc. to build and deploy their own applications and services over the Internet.

Examples of PaaS are: AWS Elastic BeanStalk, Apache Stratos, etc.

9. What is IaaS? List some examples.

Infrastructure as a Service (IaaS) is a computing infrastructure that can be outsourced as a service, where the hardware is provided by the service provider and managed by the client/consumer.

Examples of IaaS are: Amazon Web Services (AWS) EC2, Google Compute Engine, etc.

10. Explain the different Cloud Deployment models?

Cloud deployment model informs about the type of the cloud environment, which can be distinguished by size, access, and ownership.

The different cloud service models are:

  • Public Clouds – are publicly accessed cloud environments that offer the same services to all the users. Examples: Amazon Elastic Compute Cloud (EC2), Google AppEngine, etc.
  • Private Clouds – are the data centers owned by a single organization, enabling access to certain departments, locations, and users of the organization.
  • Hybrid Clouds – these are the combination of both public and private cloud models. This approach is used in the organizations where important data is stored in a private cloud and services are offered through the public cloud.
  • Community Clouds – are like public clouds, except the access is limited to some specific communities across various organizations.

11. Explain about the Security Management in Cloud Computing.

  • Identity Management Access – enables the authorization of application services.
  • Access Control Permissions – allows the users to own total controlling access of other users who are entering the cloud environment.
  • Authentication & Authorization – enables access to only verified and authorized users for accessing the data and applications.
  • Encryption – enables data encryption for securing the sensitive information stored in the cloud.

12. What is AWS?

AWS – Amazon Web Services is a cloud service from Amazon that offers services like secure cloud, content delivery, database storage, etc. enabling the businesses to create, configure, customize, and deploy applications over the cloud.

13. Why AWS Cloud?

AWS Cloud is important because of the following reasons.

  • Multiple Products/Services – AWS offers 90+ products/services across 43 availability zones within 16 geographical regions.
  • Ease of Use – AWS is designed to host various applications in an easy and secure manner.
  • Flexible -­ AWS offers the flexibility of selecting the operating system, web application platform, programming language, database, and other needed resources.
  • Detailed Documentation – AWS offers thorough information on every service offering. Whether you are a newbie or an advanced user, AWS has a great data repository, with the information ranging from introductions to advanced concepts.
  • Cost-effective – You are required to pay for the storage, compute power, and other resources which you use with no long-term commitments.
  • Reliable – The scalable and secure global computing infrastructure of AWS acts as a virtual backbone of the’s multi-billion online business.
  • Secure – AWS uses end-to-end approach for securing and hardening the computing infrastructure, including the operational, software, and physical measures.
  • Community Forums – With the community and developer forums, users can easily exchange their ideas, thoughts, and knowledge with other AWS users.
  • Oldest Cloud Vendor – Over the years, Amazon has established itself as one of the matured and prominent players in the cloud market, thereby offering incomparable services across global industries.

14. State the key components in AWS.

AWS components are loosely coupled, it means they can work independently or can perform collectively with other components. Following are the key components in AWS.

  • Route 53 – is a Domain Name Server (DNS) web-based service platform.
  • Identity & Access Management (IAM) – offers Identity management and improvised security for AWS account.
  • Simple E-mail Service – is a hosted transactional email service that allows to send mails using RESTFUL API call or via regular Simple Mail Transfer Protocol (SMTP).
  • Elastic Compute Cloud (EC2) – is the core of AWS ecosystem, which offers on-demand computing resources for hosting applications on ‘pay as you go’ pricing basis.
  • Elastic Block Store (EBS) – the storage volumes that are attached to EC2 enabling the data to persist after the lifespan of a single EC2.
  • Simple Storage Service (S3) – is a massive storage medium that is mainly preferred for AWS services.
  • Cloud Watch – is the monitoring system for AWS resources, which enables the administrators to view and collect the required key metrics and to set alarms in the case of troubles.
  • Lambda – is a ‘serverless’ compute service, which enables you to run code in response to the events, and manages the compute resources automatically.
  • DynamoDB – is a fully managed cloud database service that offers fast and predictable performance and supports both document and key-value store models.
  • RedShift – is a fully managed data warehouse, designed for analytic workloads. It analyzes data by connecting to standard SQL-based clients and BI (Business Intelligence) tools.

15. What is Amazon EC2?

Amazon Elastic Compute Cloud (EC2) is a web service that offers a resizable and secure computing capacity in the cloud. You can configure storage, security, and networking in Amazon EC2, and can be used to launch as many virtual servers as you required.

16. What are the features of Amazon EC2?

Following are the core features of Amazon EC2.

  • Instances – the virtual computing environment
  • Amazon Machine Images (AMIs) – the preconfigured templates for the instances with the data required for the servers (operating system, applications, etc.).
  • Instance types – the different configurations of storage, CPU, networking, and memory capacity for the instances.
  • Key pairs – for securing the instance login information.
  • Instance Storage Volumes – for temporary data that gets deleted when stopping or terminating an instance.
  • Amazon EBS Volumes – the persistent storage volumes of data.
  • Regions & Availability Zones – several physical locations for resources. For example, instances and Amazon EBS volumes.
  • Security Groups – enables the firewall to specify protocols, ports, and source IP ranges for instances.
  • Elastic IP addresses – the static IPv4 addresses for dynamic cloud computing.
  • Tags – creating and assigning metadata to the Amazon EC2 resources.
  • Virtual Private Clouds (VPCs) – the logically isolated virtual networks from the rest of AWS cloud, which can be used to connect to your own network.

17. What is AMI?

Amazon Machine Image (AMI) is the master image required for creating virtual servers (EC2 instances) in the AWS environment. Specify AMI while launching an instance, and you can launch as many instances as you required from the AMI.

18. What is a Shared AMI?

The AMI which is created by a developer and has made it accessible to other developers is known as a “Shared AMI”.

  • Shared AMI is the easiest way to get started with Amazon EC2.
  • You can also share your AMIs with others.
  • It is recommended to access the AMIs from a trusted source.

19. State the best Security Practices for Amazon EC2.

Though multiple security practices exist for EC2, following are the important ones.

  • Identity and Access Management (IAM): Use IAM for managing access to your AWS.
  • Allow Trusted Hosts: Allow access to only trusted networks and hosts on your instance, and restrict the others.
  • Review Security Groups: Review the rules in your security groups frequently, and ensure to follow the principle of least.
  • Privilege: Grant permissions only that you require.
  • Disable Passwords: Login passwords are easy to found and crack, and as a security concern, disable the login passwords for instances launched from your AMI.

20. Explain how to Start, Stop, and Terminate an Amazon EC2 Instance.

  • Stopping & Starting an Instance: Upon stopping, the instance will perform a normal shutdown and enters the STOPPED All the Amazon EBS volumes will remain attached to the instance, and can be restarted later.

Note: When an instance is in STOPPED state, you won’t be charged for additional hours.

  • Terminating an Instance: Upon termination, the instance will perform a normal shutdown, and all the attached Amazon EBS volumes will be deleted, unless the deleteonTermination attribute is set to false. Later, the instance also gets deleted, and cannot be restarted.

21. Explain about Regions and Availability Zones in EC2?

Amazon EC2 is hosted at different locations across the globe. Based on the geographic areas, these locations are divided into regions, and every region contains multiple isolated areas known as availability zones.

  • Each region is independent of others, while each availability zone of one region is connected to another availability zone of the same region.
  • To launch an AWS instance, you are required to select the AMI of your region. If the AMI is in a different region, copy the AMI to your region and then start the instance.
  • While launching an instance, you can select a single availability zone or can distribute the instance on multiple availability zones. So that, if an instance of one availability zone gets failed, the instance from another availability zone can handle the requests.

22. Explain the steps to migrate an EC2 Instance to another Availability Zone.

The steps for migrating the EC2 instance to another availability zone are:

  1. Create an AMI from the running instance.
  2. From the newly created AMI, launch an instance and specify the availability zone.
  3. The same instance type can be used as the original instance, or select a new instance type. In case –
    1. if the original instance has an Elastic IP address, connect it to the new instance.
    2. if the original instance is a Reserved Instance, then change the availability zone to your reservation.
  4. Terminate the original instance.

23. State the Best Practices for Amazon EC2?

To draw maximum benefit with Amazon EC2, the following practices can be helpful.

  • Resource Management
  • Storage
  • Network & Security
  • Backup & Recovery

24. What is AWS S3?

Amazon S3 known as ‘Simple Storage Service’ is a scalable, fast, inexpensive, and reliable data storage infrastructure in the cloud that makes the web-scale computing easier for the developers to build applications.

25. How can you Send Request to Amazon S3?

Amazon S3 comes as a REST service. To send a request to S3, the wrapper libraries such as REST API or AWS SDK are used to wrap the underlying S3 REST API.

26. What is a Bucket?

Each file/object which is uploaded to Amazon S3 is stored in a container, called as a “Bucket”. For example, if a file named videos/buckets_demo.avi is stored under the demovideos bucket, then it should be addressed with the following URL:

  • It is required to create minimum one bucket before you start working with Amazon S3.
  • Each bucket should have a unique name, which makes it essential to share the bucket namespace with others.
  • For each AWS account, by default, you can create a maximum of 100 buckets.
  • One bucket can contain an unlimited number of files.
  • Nesting is not allowed in Buckets, it means a new bucket cannot be created under another bucket.

27.  Explain the key differences between Amazon EC2 and Amazon S3.

Following are the key differences between EC2 and S3.

Amazon EC2 Amazon S3
·        EC2 is a cloud-based web service used for hosting the applications.·        EC2 is same as the computing environment, which can run Windows or Linux and can handle applications like Apache, Python, PHP, or any databases. ·         S3 is a data storage system used for storing large amounts of data.·         S3 has a REST interface that uses secure HMAC-SHA1 authentication keys.


28. Explain about the Security Groups in Amazon EC2?

In Amazon EC2, security groups act as a security system for connected instances, which helps you to control/manage both the incoming and outgoing traffic at the instance level. Following are the features of security groups.

  • The feasibility of adding rules to security groups allows you to connect to your instance from your IP address using SSH.
  • You can also add rules to security groups that enable inbound and outbound HTTP and HTTPs access from any location.

29. What is a Key Pair?

  • Amazon Web Services uses public-key cryptography for securing the instance login details.
  • Linux instances have no password, you can use a key pair to get securely logged into the instance.
  • The name of the key pair can be specified while launching the instance, and then set the private key when logged in with SSH.

30. State the possible connection errors that you might encounter while connecting to an instance.

The possible connection errors while connecting to an instance are:

  • Server refused your key or No supported authentication method available
  • Host key not found, permission denied
  • User key not recognized by the server
  • Unprotected private key file
  • Connection timed out
  • Error using Mac OS X RDP Client

31. How to Vertically Scale an Amazon Instance?

To scale an Amazon instance vertically, perform the following steps.

  • Other than the running instance, spin up a new larger instance.
  • Pause it, and disconnect the root webs volume from the server and discard.
  • Stop the current instance and disconnect its root volume.
  • Make a note of the unique device ID and connect the root volume to a new server.
  • Start the instance.

32. What is Amazon VPC?

Amazon Virtual Private Clouds are the logically isolated virtual networks from the rest of AWS cloud, which can be used to connect to your own network.

  • AWS resources such as Amazon EC2 Instances can be launched in your VPCs. You can:
    • Configure your VPCs
    • Select the IP address range
    • Create Subnets
    • Configure route tables
    • Configure network gateways
    • Manage security settings

33. Explain about Elastic Load Balancing in AWS.

In AWS, Elastic Load Balancing distributes the traffic of the inbound applications over various EC2 instances in different availability zones. This approach increases the fault tolerance of the applications.

  • Application Load Balancers and Classic Load Balancers are the two types of Elastic Load Balancers available in AWS.

34. What is Amazon Elastic Block Store (Amazon EBS)?

Amazon EBS offers block level storage volumes that can be used with Amazon EC2 instances. EBS volumes are reliable and scalable storage volumes, which can be attached to any running instance under the same availability zone.

35. Explain about Amazon CloudSearch.

Amazon CloudSearch is a fully managed cloud-based search service of AWS, which is used to integrate customized search capabilities to your website and applications. With CloudSearch you can search large amounts of data, without getting worried about the hardware provision.

36. Why use Amazon Route 53?

Amazon Route 53 is used to get a web application or website up and running. It performs the following functions:

  • Register Domain Names – it helps you to register a name for your web application or website, known as ‘domain name’. For example, if your website needs a name like, then Amazon Route 53 will help you in registering the name.
  • Route Internet Traffic to your Domain Resources – it helps the DNS (Domain Name System) to connect the browser to the web application or website. For example, if a user opens a browser and enters the domain name of your website, then Amazon Route 53 will help the browser to connect with your website.
  • Check Resources Health – automated requests are sent over the internet to the resource (web server), to verify whether it is available, reachable, and functional or not. You can also set notifications whenever a resource gets unavailable.

37.  What is AWS CloudTrail? Explain the benefits of using it.

CloudTrail is a web service of AWS, which is used to record the API calls and related events made on your account, and transfers log files to your Amazon S3 bucket.

Following are the benefits of the AWS CloudTrail.

  • By recording the API calls and related events, CloudTrail offers visibility into the user activity.
  • CloudTrail records every single information of an API call, such as the name of the API, time of the API call, the identity of the caller, and the response elements returned by AWS.
  • Such recorded information is used to track changes made to your AWS resources and to troubleshoot various operational issues.
  • Ensuring compliance and regulatory standards gets easier with CloudTrail.

38. How many trails can I create in an AWS region?

In an AWS region, you can create a maximum of 5 trails. A trail that belongs to all regions exists in every region, and is considered as one trail in every region.

39.  What is AWS Elastic Beanstalk?

AWS Elastic Beanstalk helps the developers to easily deploy and manage the applications in the AWS Cloud. While the developers upload their applications, the Elastic Beanstalk will handle the deployment information automatically (information such as load balancing, capacity provisioning, application health monitoring, and auto-scaling).

40. Which development stacks and languages do the Elastic Beanstalk support?

Following are the list of development stacks and languages that are supported by AWS Elastic Beanstalk.

  • Nginx or Apache HTTP Server for Node.js applications
  • Apache HTTP Server for PHP applications
  • Apache HTTP Server for Python applications
  • Apache Tomcat for Java applications
  • Microsoft IIS 7.5, 8.0, and 8.5 for .NET applications
  • Passenger or Puma for Ruby applications
  • Docker
  • Java SE

41. What is Amazon CloudFront?

CloudFront is a web service of AWS, which is used for quick distribution of static and dynamic web content (image files, .html, .css, etc.) to the users. The delivery of the content is done through a global network of data centers known as ‘edge locations’.

Whenever a user makes a request for a content that is served with CloudFront, then the user is navigated to the edge location that offers low latency for delivering the content with the best possible performance. In case, if the content already exists in the edge location with the lowest latency, then the CloudFront delivers it instantly. However, if the content does not exist in the edge location, then CloudFront retrieves it from the HTTP server or Amazon S3 bucket which have identified as the best source for the definitive version of the content.

42.  What is Amazon DynamoDB?

Amazon DynamoDB is a flexible NoSQL database, which stores data in the tables. DynamoDB is a fully managed cloud database service that offers fast and predictable performance and supports both document and key-value store models. The reliable performance and flexible data model make DynamoDB the perfect fit for the web, mobile, gaming, IoT, and many other applications.

43. Is there any limit to store data in Amazon DynamoDB?

No. There is no specific limit on the amount of data that can be stored in Amazon DynamoDB. As the size of the data grows, DynamoDB will automatically spread the data across various machine resources to fulfill your storage requirements.

44. How to use Amazon SQS?

Amazon SQS is a message passing approach, which is used for communication between multiple connectors that are connected to one another. Amazon SQS maintains all the functional components organized, which helps different components to be loosely coupled and offers a high failure resilient architecture.

45. What is the difference between Scalability and Elasticity?

The competence of a system to increase its hardware resources for handling the rising demand is known as Scalability. It can be done by increasing the processing nodes or hardware specifications.

The competence of a system to handle the growing workload with the addition of new hardware resources, and the ability to roll back to the scaled resources when the resources are no longer required is known as Elasticity.

46. What Is AWS Lambda?

AWS Lambda is a ‘serverless’ compute service, which enables you to run code in response to the events, and manages the compute resources automatically. AWS Lambda can be used to extend the other AWS services or to create custom back-end services. It runs code automatically in response to the various events, such as table updates in Amazon DynamoDB or object modifications in Amazon S3 buckets.

47. Why use AWS IAM?

IAM (Identity and Access Management) is a web service of AWS, which helps you to secure the control access to AWS resources for your users. IAM is used to control/manage the use of your AWS resources (i.e. authentication) and which resources can be used in what ways (i.e. authorization).

48. What is Amazon RedShift?

Amazon RedShift is a fully managed data warehouse, designed for analytic workloads. It analyzes data by connecting to standard SQL-based clients and BI (Business Intelligence) tools. By using the columnar storage technology and parallelizing, RedShift delivers fast I/O and query performance for any size virtual datasets.

49.  What is AWS Snowball?

AWS Snowball is data transportation service, responsible for transferring terabytes to petabytes of data into and out of AWS. Snowball enables to remove issues (such as long transfer times, high networking costs, security concerns, etc.) that can be encountered while transferring large amounts of data.

50. Who should use Snowball?

AWS Snowball is the right choice if you–

  • want to transfer terabytes to petabytes of data to AWS
  • do not want to perform expensive upgrades to your network infrastructure
  • are located in the physically isolated environment
  • are in a location where high bandwidth Internet access is not available

Wrapping up

As more businesses are now looking towards AWS cloud services, there is a growing demand for trained and certified AWS Cloud Architects and Cloud Engineers in the market. So, don’t leave any stone unturned, get trained by subject matter experts and give your career the extra edge with Kovid Academy.

Frequently Asked Questions

The Big Data Hadoop Developer training program from KOViD Academy will cover all the core concepts of stream processing and in-memory analytics using the Resilient Distributed Datasets in Apache Spark. The training curriculum also provides the participants to have a hands-on expertise on PySpark Shell, Spark Streaming, Spark SQL, Graph Queries using GraphX, and Machine Learning using MLLib.

This course is designed for:

  • Developers & Programmers
  • Manual & Automation Testers
  • Database Administrators
  • Data Scientists and Analysts
  • Students
  • Professionals who are looking to gain competence on the emerging big data tools.

As such, there are no prerequisites for this course. However, it will be beneficial to have:

  • Knowledge of any programming language
  • Basic understanding of databases

The instructors/trainers at KOViD Academy are highly qualified and certified professionals, who holds around 12+ years of industry relevant experience.

The participants are recommended to have a-

  • 64-bit operating system
  • i3 or higher processor with virtualization support
  • Minimum of 4 GB RAM (8 GB RAM is recommended)
  • 25 GB of free hard disk space
  • Internet connectivity with minimum 1 MBPS speed

Not to worry. All your sessions will be recorded, and uploaded in the LMS. You will be able to view it later as per your convenience.

Yes. Relevant course material and adequate references will be provided.

After successfully completing the training program, you are required to undertake a project work. Based on certain performance parameters and evaluation of the project work, you will be awarded with the KOViD certificate.

Yes, if you cancel your enrollment, then refund will be made to you after excluding the applicable cancellation fee. Please refer to our cancellation/refund policy for complete information.

In any unlikely event, if you are not satisfied with the course/training you may within the first session/day wish to withdraw from the course, then contact us on the same day and raise the refund request. Please refer to our cancellation/refund policy for complete information.

All our trainings are delivered through two interactive modes i.e. Instructor LED Live Online and Classroom training. You can select anyone based on your comfort levels.

Yes, we offer group discounts for the training programs. For more information on this, please contact at

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It was a good course, and the materials provided during the training program are effective to gain an in-depth knowledge related to the project management. Thank you Kovid.


The course was outstanding. I hadn’t ever imagined that just by undergoing the training program, I would be able to pass the certification examination in the first attempt. The way the experts has designed the course truly boosts the learning process. Frankly speaking, instructors are key to my success.