How hard is the AWS Certified Data Analytics Specialty Exam?

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How hard is the AWS Certified Data Analytics Specialty Exam?

The AWS Certified Data Analytics Specialty Exam is designed to validate a candidate’s skills and expertise in using AWS services for designing and implementing big data solutions. The exam is considered to be challenging and requires a solid understanding of the AWS ecosystem, big data technologies, and data analytics concepts.

The exam consists of 65 multiple-choice and multiple-response questions that need to be answered within 3 hours. The questions are designed to test a candidate’s knowledge of topics such as data collection, processing, storage, and analysis using various AWS services, including Amazon S3, Amazon EMR, Amazon Redshift, Amazon Kinesis, and Amazon QuickSight.

To pass the exam, candidates need to achieve a minimum score of 750 out of 1000. However, the difficulty level of the exam may vary from person to person, depending on their experience and familiarity with the AWS services and data analytics concepts.

Overall, the AWS Certified Data Analytics Specialty Exam is considered to be a challenging exam, but with adequate preparation and hands-on experience with AWS services, candidates can increase their chances of passing the exam.

In this post, we will discover how hard is the AWS Certified Data Analytics Specialty Exam and how to crack it!

About AWS Certified Data Analytics Specialty

The AWS Certified Data Analytics Specialty Exam certificate helps businesses identify and advance personnel with key abilities for carrying out cloud activities. Having an AWS Certified Data Analytics – Specialty certifies that you are knowledgeable about using AWS data lakes and analytics services to extract wisdom from data. The exam also assesses candidates’ knowledge and comprehension of how to design, construct, implement, and defend data analytics solutions on the AWS platform. Additionally, it looks at how the prospect feels about other AWS data analytics services.

Recommended Knowledge

The AWS Certified Data Analytics – Specialty program is intended for users with experience building, designing, securing, and managing analytics applications using AWS services. We advise that you have the following before taking this test:

  • First and foremost, five or more years of experience with data analytics tools
  • Additionally, the candidate must have at least two years of actual, hands-on experience using AWS.
  • Lastly, experience developing, designing, securing, and maintaining analytics systems using AWS services.

Let us now move to the main point –

AWS Certified Data Analytics Specialty Exam: Difficulty Level

An in-depth understanding of data analytics technologies and solutions is required to pass the difficult and complex AWS Data Analytics certification test. In addition to having a thorough understanding of data analysis techniques and methodologies, an analyst with AWS Data Analytics also knows which AWS tool or service should be applied to each issue. There won’t be many questions on fundamental data analytics knowledge on the AWS Data Analytics test, but it will expand on that knowledge. Therefore, you should be familiar with the fundamentals before taking the exam.

You should be familiar with the handling of organized, semi-structured, and unstructured data types, as well as their similarities and differences. Different types of data storage, like data lakes, warehouses, and S3 buckets, should already be familiar to you, along with how to work with them. You should be familiar with OLTP and OLAP systems, as well as batch and stream processing. You ought to be familiar with ACID and BASE compliance and what an ETL process can do to guarantee compliance. Additionally, you must be familiar with the AWS services and pipelines that work with those principles.

Let us now look at the exam format and some resources that can help you ace the exam and ultimately grab a job!

Exam Format

Understanding the test format will help applicants tailor their preparations to the test and its objectives. The applicant will initially need to work toward 65 Multiple Choice and Multi-Response Questions. The candidate will also have 180 minutes to finish it. It is also accessible in English, Korean, Japanese, and Simplified Chinese and will cost them about $300 USD. Most importantly, they must get passing scores between 75% and 80% to earn this certification. Let’s now examine the exam’s course outline.

Course Structure

The applicant should be knowledgeable about these fields and the issues they address.

Domain 1: Collection

1.1 Determine the operational characteristics of the collection system

1.2 Select a collection system that handles the frequency, volume, and the source of data

  • Describe and characterize the volume and flow characteristics of incoming data (streaming, transactional, batch) (AWS Documentation: Characteristicsstreaming data)
  • Match flow characteristics of data to potential solutions
  • Assess the tradeoffs between various ingestion services taking into account scalability, cost, fault tolerance, latency, etc. (AWS Documentation: Amazon EMR FAQsData ingestion methods)
  • Explain the throughput capability of a variety of different types of data collection and identify bottlenecks (AWS Documentation: Caching OverviewI/O characteristics and monitoring)
  • Choose a collection solution that satisfies connectivity constraints of the source data system

1.3 Select a collection system that addresses the key properties of data, such as order, format, and compression

Domain 2: Storage and Data Management

2.1 Determine the operational characteristics of the storage solution for analytics

2.2 Determine data access and retrieval patterns

2.3 Select appropriate data layout, schema, structure, and format

2.4 Define data lifecycle based on usage patterns and business requirements

2.5 Determine the appropriate system for cataloging data and managing metadata

Domain 3: Processing

3.1 Determine appropriate data processing solution requirements

3.2 Design a solution for transforming and preparing data for analysis

3.3 Automate and operationalize data processing solutions

Domain 4: Analysis and Visualization

4.1 Determine the operational characteristics of the analysis and visualization solution

4.2 Select the appropriate data analysis solution for a given scenario

  • Evaluate and compare analysis solutions (AWS Documentation: Evaluating a solution version with metrics)
  • Select the right type of analysis based on the customer use case (streaming, interactive, collaborative, operational)

4.3 Select the appropriate data visualization solution for a given scenario

Domain 5: Security

5.1 Select appropriate authentication and authorization mechanisms

5.2 Apply data protection and encryption techniques

5.3 Apply data governance and compliance controls

Now, let’s have a look at some resources!

AWS Exam Guide 

Exam Guide for the Exploring AWS learning route is designed for people who work in data analytics roles. Primarily for individuals who wish to execute an AWS Certified Data Analytics Specialty position. Additionally, this can be used as a resource for anyone with beginner-level experience who wants to learn how to design, create, protect, and manage analytics solutions that give insight from data.

Testpreptraining Online Tutorials

The AWS Certified Data Analytics Specialty (DAS-C01) Online Tutorial from Testprep enriches knowledge and offers an in-depth understanding of the test domains. They also go through exam specifics and policies. As a result, learning through online tutorials will improve preparation.

Online Course: AWS Certified Data Analytics 

Online Course: AWS Certified Data Analytics, One of the most interactive ways to become exam-qualified, is through online classes. Experts in the field create them. The training will also give the individual a strong foundation in exam topics and ideas. Additionally, the candidate is guided through the learning curve in this online course.

Practice tests

The practice exam will assist the applicants in identifying their areas of weakness so they can improve them. These days, the candidate can select from a variety of practice exams that are available online. Additionally, we at Testprep Training provide practice exams that are highly beneficial for the preparation.

Will the exam be worth investing time and effort in?

AWS Data Analytics is worthwhile for the majority of data-focused IT workers. It’s not worth the time and effort to invest if you don’t work with data models or have to create or implement AWS services around big data. But it’s a valuable credential for advanced professionals who need to know more about organizing data analysis solutions and the numerous data analytic processes involved.

AWS Data Analytics is a fantastic resource for developing your career and establishing your abilities. Consider using AWS Data Analytics if you have experience in data analysis and want a way to document everything you know or show your company how valuable you are. Although it’s a difficult certification to obtain, doing so shows that you have a thorough understanding of AWS tools and services and the range of data analysis.

AWS Certified Data Analytics Specialty Exam free practice test