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AWS Certification Exam Readiness Workshop: AWS Certified Solutions Architect – Professional

//, Workshops/AWS Certification Exam Readiness Workshop: AWS Certified Solutions Architect – Professional

AWS Certification Exam Readiness Workshop: AWS Certified Solutions Architect – Professional

Course ID: AWS-CSAP-WORK 1 Day None
   

AWS Certification Exam Readiness Workshop: AWS Certified Solutions Architect – Professional

Overview

Designed to complement Advanced Architecting on AWS, this full-day workshop is intended for individuals who are preparing for the AWS Certified Solutions Architect – Professional exam. In this workshop, we discuss in detail the content domains and concepts behind them. We also use hands-on labs to explore advanced use cases that span multiple content domains. We walk you through how the exam is structured, including question formats, content domains, and the breakdown of questions across those domains. A series of practice exam questions give you the chance to apply your knowledge and test your understanding of key architectural concepts. At the end of this class, you receive a voucher to take an additional online practice exam on your own.

Description

Audience

This workshop is intended for:

Certification

Exam

Investment

Instructor-led / Virtual Instructor-led

Singapore: SGD1,270
Malaysia: MYR1,950

PREREQUISITES

We recommend that attendees of this workshop have the following prerequisites:

  • Attended the Advanced Architecting on AWS course (or have equivalent knowledge)
  • Two or more years hands-on experience designing and deploying cloud architecture on AWS

OBJECTIVES

This workshop is designed to teach you how to:

  • Understand the content domains and how AWS services map to them
  • Combine multiple AWS services to solve complex architectural requirements
  • Understand advanced concepts of core AWS services and associated use cases
  • Identify how questions are written to test AWS architectural concepts

COURSE CONTENT

Day 1

  • Key services that help enable a serverless data lake architecture
  • A data analytics solution that follows the ingest, store, process, and analyze workflow
  • Repeatable template deployment for implementing a data lake solution
  • Building a metadata index and enabling search capability
  • Setup of a large scale data ingestion pipeline from multiple data sources
  • Transformation of data with simple functions that are event-triggered
  • Data processing by choosing the best tools and services for the use case
  • Options available to better analyze the processed data
  • Best practices for deployment and operations

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