AWS-Big-data-specialty

How did you prepare for AWS Certified Big Data – Specialty Certification?

The AWS Certified Big Data Specialty exam is a high level exam and it requires the candidate to have excellent knowledge about AWS services and Big Data with at least 5 years of experience(not mandatory).This is a specialty level exam and you require deep knowledge not only on AWS but also on Big data technologies. The questions asked in this exam will be based on real time scenarios and you will require in depth knowledge on AWS Big Data technologies. This exam won’t be an easy task to handle as it is one of the toughest exams and would require immense hands-on experience and knowledge on Big data technologies.

What is the AWS Certified Big Data Specialty exam?

AWS Certified Big Data Specialty exam validates the candidates expertise and technical knowledge in designing and implementing AWS services to derive from data. The candidate should have the ability to work on designing and maintaining Big Data.

The AWS Certified Big Data Specialty 2018 Practice Exams comes with a total of 240 exam questions spread across 4 individual exams. Each exam contains 60 questions and you have 150 minutes in which to complete the exam. The passing score for each exam is 70%. These AWS practice exams will test your knowledge on all core exam topics and enable you to gauge your readiness for the official AWS Certification exams.Take the AWS Certified Big Data - Specialty Certification Sample Questions and discover your strengths and weaknesses in the AWS Exam. This Certified Big Data - Specialty Sample Questions is representative of the real exam and helps you prepare for the exam. AWS dumps is for those who prefer to study for their tests systematically. With this AWS Associate Exam Dumps, you will be able to pinpoint the areas of the subject that need work and strengthen them. Give the AWS test a go today!

Test your skills in exam simulations, prepare for AWS Certifications and start learning in minutes.Questions collected from previous AWS exams in 2018.New Questions will be added every week.

The AWS Certified Big Data - Specialty exam validates technical skills and experience in designing and implementing AWS services to derive value from data. The examination is for individuals who perform complex Big Data analyses and validates an individual’s ability too.

Preparation:

• Training: A good training will help you understand the topics you need to cover when you’re preparing for the AWS Certified Big Data Specialty exam. There are a lot of online trainings available which provide good study material for you to start preparing. Training will lay the foundation for your preparation and help you a lot.
• Exam Blueprint: AWS provides the exam blueprint. Download this blueprint and study it thoroughly. This is the best way to prepare for the AWS Big Data Specialty exam. Take points from the blueprint and they will serve as reference to you at the time of the exam.
• White papers: Study the white papers recommended by AWS. These white papers are very helpful to provide you with a lot of information on the topics to study. Having read the white papers I can say they are a great source of information and act as a study guide.

Practice Tests,Labs and Quizzes: The more hands-on experience you have it is more beneficial for you. Take up practice tests which are available online. You can take up the labs which will give you the desired practical experience. Also take up quizzes, this will help you understand the type of questions and also judge your knowledge on the subject.

Topics to cover:

• Kinesis Firehose and Kinesis Stream: Kinesis firehose and Kinesis stream are big data terms associated with streaming real time data to destinations such as S3, ES and spunk. You would require to know the importance of Kinesis and combining it with Lambda. Also learn where the Firehose will unload the content. Also understand why kinesis ingestion is better. Learn features offered by KCL and KPL. Also understand when to use them to send/receive data.
• S3: Amazon S3 is storage for internet. It is a simple web service interface which is used to store and retrieve data anywhere anytime. You would require to know how to use S3 buckets, when to use S3 standards and S3 glacier.
• DynamoDB: DymanoDB is a NoSQL database services for all application that need consistent, single digit millisecond latency at any scale. Study the right use case for DymanoDB. How to design LSI and GSI. You might get asked about key optimization.
• Quicksight: It is a fast cloud-powered business analytics service. You may be asked a question on virtual representation with Quicksight.
• Redshift: AWS redshift is a fast, fully managed data warehouse which helps you analyze your data using SQL and BI. You will need to know how to load data using Redshift. You will need to understand the overall architecture. Leader, node slices, compute node. Redshift is an important topic and you would require to know the importance of the COPY command. Also to migrate data using UNLOAD command. Tuning performance use right sort key. At least one question on loading data in Redshift is asked. For this you should know what slices are and instances.
• IoT: The questions will be asked mixed with topics like as DynamoDB and Kinesis Stream. You will require knowledge of IoT rules, Device Registry, Device Gateway, Device Shadow, etc.
• Machine Learning: Knowledge of which types of models are by AWS Machine learning. Also understand when to select right model for specific business requirements and scenarios.
• Security: IAM roles, data encryption for S3, Redshift and DynamoDB, HSM.
• Data Pipeline: Some questions will be asked on Data pipeline, Data Pipeline and Lambda and when to us it. Questions on backup, restore data into other AWS regions.

Topics on which least questions are asked:

• Limited questions on networking.
• Limited questions on ELB and auto scaling groups.
• No CloudFormation, OpsWork questions.
• No Beanstalk questions.
• Limited questions related to SQS and SNS.

Exam Overview

Format: Multiple choice, multiple answer

Length: 170 minutes

Language: English

Registration Fee: 300 USD

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