Udemy

AWS Data Analytics Practice exams + explanations

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  • 257 Students
  • Updated 11/2023
5.0
(34 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Youssef Moufid
Rating
5.0
(34 Ratings)

Course Overview

AWS Data Analytics Practice exams + explanations

AWS Data Analytics Test Prep: 4 Practice Tests

1. The AWS Certified Data Analytics - Specialty practice test questions are based on the real exam scenario. The practice test package includes three different tests: The practice exams are structured as follows:

  • AWS Data Analytics Practice Exam 1 + Explanations: 130 Questions

  • AWS Data Analytics Practice Exam 2 + Explanations: 130 Questions

  • AWS Data Analytics Practice Exam 3 + Explanations: 32 Questions

  • AWS Data Analytics Practice Exam 4 + Explanations: 245 Questions

2. The AWS Certified Data Analytics Specialty Practice Tests on Udemy provide comprehensive coverage of the DAS-C01 topics. The practice tests aim to help candidates boost their preparedness for the real exam by simulating the actual test environment and providing detailed explanations and references


3. The AWS Certified Data Analytics Specialty DAS-C01 Exam Study Path offers practice tests with multiple sets of questions covering almost every area that can be expected in the real certification exam. The practice tests are designed to help candidates pass the AWS Data Analytics exam on their first attempt


4. The AWS Certified Data Analytics DAS-C01 - Specialty Practice Exams provide a comprehensive reviewer with complete and detailed explanations to help candidates pass the AWS Data Analytics exam on their first try. The practice tests are well-regarded as the best AWS practice test reviewers in the market

Course Content

  • 1 section(s)
  • Section 1 Practice Tests

What You’ll Learn

  • AWS Batch, Amazon EC2, gzip compression, Amazon S3, Amazon Redshift, COPY command, speeding up the COPY process.
  • AWS Organizations, Amazon S3, AWS Lake Formation, departments sharing data, cataloging and safeguarding data, safe access to tables.
  • ETL process, Amazon S3, Amazon Redshift, loading dataset cost-effectively.
  • Log data optimization, querying, Elastic Load Balancing, Amazon S3, low operating cost.
  • Near-real-time event data, data intake solution, standardizing data, data fluctuation, data record size.
  • Near-real-time event data, data intake solution, standardizing data, data fluctuation, data record size.
  • Toll services, traffic patterns, ingestion pipeline, Amazon Redshift, Amazon S3, notifying operations employees.
  • Ecommerce organization, on-premises BI system transfer, Amazon Redshift, Amazon QuickSight, connection issue.
  • Apache Spark, Amazon EMR, Amazon S3, HTTP 503 'Slow Down' AmazonS3Exception, rectifying the situation.
  • Streaming data, Random Cut Forest (RCF), status code analysis, data persistence, minimal cost.

Skills covered in this course


Reviews

  • M
    Marlene Parks
    5.0

    Nice layout of questions, easy to follow.

  • E
    Elena Petrova
    5.0

    Expertly crafted material.

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