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AWS Data Analytics Specialty Training Courses

There are many courses available for candidates to prepare well for the certification exam. Two most popular options are as follows:

1. Big Data On AWS Training Course by AWS Training

This training presents test-takers with big data solutions such as Amazon Kinesis, Amazon Redshift, Amazon EMR, and others. One will learn more about how to use these tools effectively and process the required data using Hue and Hive. The applicants will also gain information about the following subjects, to name a few:

• Selecting proper solutions for data storage
• Utilizing programming frameworks
• Transferring, compressing, and ingesting data
• Visualization software

This 3-days course is available in different languages like English, French, German, Italian, Simplified Chinese, and many more. To help you grasp the topics better, it also involves practical labs.

For more info read reference:

Amazon Web Services Website

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Who should take the AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam

The most suitable candidate for the Amazon Web Services Certified Cloud Practitioner (CLF-C01) exam would be the one possessing knowledge about the following:

• AWS Cloud concepts
• Know-how of the economics of the AWS Cloud
• Knowledge of the core AWS services
• Security and compliance within the AWS Cloud environment

The applicant should at least have six months, or the equivalent, of active commitment with the AWS Cloud, with engagement to AWS Cloud design, implementation, and/or operations. Candidates will exhibit the knowledge of well-designed AWS Cloud solutions.

Reference: https://d1.awsstatic.com/training-and-certification/docs-data-analytics-specialty/AWS-Certified-Data-Analytics-Specialty-Exam-Guide_v1.0_08-23-2019_FINAL.pdf

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How to Prepare For AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam

Preparation Guide for AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam

Introduction for AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam

Amazon Web Services (AWS) is a subdivision of Amazon producing cloud computing platforms and APIs for individuals, companies, and governments, on a subscription-based model. The cloud computing web services give a variety of basic, complex, technical infrastructure and distributed computing building blocks and instruments. One of these services is Amazon Elastic Compute Cloud (EC2). It enables users to have a virtual cluster of computers, ready all the time, over the Internet. This guide provides a step by step framework of the AWS Certified Data Analytics - Specialty (DAS-C01) Professional certification exam including a broad array of essentials of the test, the exam design, themes, test complexities and readiness techniques, and the intended interest group profile.

Thus, we prepare various AMAZON DAS C01 practice exams and AMAZON DAS C01 practice exams of AWS Accredited Developer proficient inquiries as we understand understudy determinations. Our content, helps candidates' total assessments.

The AWS Certified Data Analytics - Specialty (DAS-C01) examination is designed for people who work in a data analytics-focused position. This certification validates an examinee's thorough knowledge of using AWS services to design, build, secure, and manage analytics solutions that give insight from data. It verifies an examinee's skill to:

• Describe how AWS data analytics services are utilized in the data lifecycle of collection, storage, processing, and visualization.
• Define AWS data analytics services and know how they integrate

The Amazon Web Services Certified Data Analytics - Specialty (DAS-C01) exam is designed for people who possess at least 5 years of practical experience with common data analytics technologies, have a minimum 2 years of hands-on expertise working on AWS and ahve the required knowledge and expertise operating with AWS services to design, build, secure, and maintain analytics solutions. They must effectively exhibit an understanding of the AWS Data Analytics.

The exam proves a candidate's capacity to accomplish the following tasks:

• It verifies your expertise in AWS data lakes and analytics services
• Develops reliability and confidence by highlighting your capability to design, build, protect, and sustain analytics solutions on AWS that are efficient, and secure
• Describe the significance of the AWS Cloud

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