Testprep Training AWS Certified Security Specialty Practice Exam Testprep Training
  • Duration / Course length: 1 To 2 Months Start now
  • Accredited in: USA
  • Course delivery: This course is delivered in video format

Course details

  • AWS Certified Big Data - Specialty exam validates technical skills and experience in the process of designing and implementing AWS services in order to derive value from data. The AWS Certified Big Data - Specialty exam is meant for individuals who perform complex Big Data analyses and validates the -
  • Ability of an individual to implement core AWS Big Data services according to basic architecture best practices
  • Ability of an individual to Design and maintain Big Data
  • Ability of an individual to Leverage tools to automate data analysis

Recommended Knowledge for AWS Certified Big Data - Specialty exam

  • Minimum of 2 years' experience using AWS technology
  • AWS Security best practices
  • Independently define AWS architecture and services and understand how they integrate with each other.
  • Define and architect AWS big data services and explain how they fit in the data lifecycle of collection,ingestion, storage, processing, and visualization.
  • At least 5 years' experience in a data analytics field
  • Understand how to control access to secure data
  • Understand the frameworks that underpin large scale distributed systems like Hadoop/Spark and MPP data warehouses
  • Understand the tools and design plateforms that allow processing of data from multiple heterogeneous sources with difference frequencies (batch/real-time)
  • Capable of designing a scalable and cost-effective architecture to process data

Course Outline for AWS Certified Big Data Specialty Certification  

Domain 1: Collection (17%)

  • Determine the operational characteristics of the collection system
  • Select a collection system that handles the frequency of data change and type of data being ingested 
  • Identify the properties that need to be enforced by the collection system: order, data structure, metadata, etc. 
  • Explain the durability and availability characteristics for the collection approach 

Domain 2: Storage (17%)

  • Determine and optimize the operational characteristics of the storage solution
  • Determine data access and retrieval patterns 
  • Evaluate mechanisms for capture, update, and retrieval of catalog entries 
  • Determine appropriate data structure and storage format  

Domain 3: Processing (17%)

  • Identify the appropriate data processing technology for a given scenario
  • Determine how to design and architect the data processing solution 
  • Determine the operational characteristics of the solution implemented 

Domain 4: Analysis (17%)

  • Determine the tools and techniques required for analysis 
  • Determine how to design and architect the analytical solution 
  • Determine and optimize the operational characteristics of the Analysis 

Domain 5: Visualization (12%)

  • Determine the appropriate techniques for delivering the results/output 
  • Determine how to design and create the Visualization platform 
  • Determine and optimize the operational characteristics of the Visualization system 

Domain 6: Data Security (20%)

  • Determine encryption requirements and/or implementation technologies 
  • Choose the appropriate technology to enforce data governance 
  • Identify how to ensure data integrity 
  • Evaluate regulatory requirements

    Testprep Training provides hundreds of mock test to prepare for the AWS Big Data Specialty Exam.

    • Format: Practice Exam
    • No. of Questions:  361 Questions
    • Delivery: Online, Immediate
    • Test Modes: Practice, Exam

    Updated on 09 September, 2020

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