AWS Data Analytics Certification

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The 12 AWS credentials currently in use need updating. To quickly review the previous blog, here you go. An updated certification and a brand-new certification are both on the horizon.

  1. The SAA-C02 certification is the latest iteration of the AWS Certified Solutions Architect – Associate. In order to get a better understanding of the shifts, please visit our blog. Upon us on March 23, 2020.
  2. DAS-C01 is the newest version of the AWS Certified Data Analytics – Specialty certification, which was formerly known as AWS Certified Big Data – Specialty. On tap for 13 April, 2020.
  3. The AWS Certified Database – Specialty exam is fresh to the market. On tap for the 6th of April, 2020.

There is a new SAA-C02 version of the AWS Certified Solutions Architect – Associate certification. To see how the shifts stack up, read our blog post. On the horizon, as of March 23, 2020.

The AWS Certified Data Analytics – Specialty exam has been updated to DAS-C01 from the previous exam, AWS Certified Big Data – Specialty. Expected on April 13th, 2020.

There’s a brand-new certification test out there, and it’s for the AWS database department. Due out on April 6th, 2020.

Recommended AWS Knowledge and Exam Content Updates

  1. The exam is still graded on a scale of success or failure.
  2. The use of multiple-choice and -response questions remains.
  3. All questions with no responses are counted as wrong, but guessing does not affect your score.
  4. A portion of the questions are non-scored; they will not be factored into your final grade but will be used for research purposes.
  5. Exam results are reported on a scale from 100 to 1,000, with a passing score of 750; passing any one section is not necessary, but passing the exam as a whole is. (NEW)
  6. In addition to the previously required 2 years of hands-on experience, AWS now also recommends a minimum of 5 years of experience with mainstream data analytics technologies before attempting this certification. (NEW)

There is still a single correct answer on the exam.

MCQs and MRQs are still around.

Answers to questions that were not provided are counted as wrong, but guessing does not affect your score.

It is important to note that some questions are not scored and are only included for statistical purposes.

Exam results are reported on a scale from 100 to 1,000, with a passing score of 750. Sectional passing is not required; only overall exam success will be reported. (NEW)

In addition to the previously required two years of hands-on experience, AWS now recommends a minimum of five years of experience with mainstream data analytics technologies before applying for this certification. (NEW)

 

Type Service
Interactive Analytics Amazon Athena
Big Data Processing Amazon EMR
Data Warehousing Amazon Redshift
Real-Time Analytics Amazon Kinesis
Operational Analytics Amazon Elasticsearch Service
Dashboards and Visualizations Amazon QuickSight
ETL AWS Glue
Data Lake AWS Lake Formation
Apache Kafka Amazon Managed Streaming for Kafka (MSK)

Alterations made to both sides of the exam’s content

AWS Data Analytics Certification

First, let’s make a side-by-side comparison of the new and old exam formats:

Ability to work with Big Data on Amazon Web Services (BDS-C00) NEW EXAM> Obtain your AWS Certification in Data Analytics (DAS-C01)!
Money gathered (17%)

Identify the properties that need to be enforced by the collection system, such as order, data structure, metadata, etc. ; Choose a collection system that can deal with the frequency of data change and the type of data being ingested. Specify the longevity and accessibility features of the data collection method (removed from new exam)

Income gathered (18%)

Select a collection system that can deal with the data’s frequency, volume, and origin; select a collection system that can deal with the data’s key properties, such as order, format, and compression; and finally, determine the collection system’s operational characteristics.

Repository for Stuff (17%)

Data access and retrieval patterns Evaluation of mechanisms for capture, update, and retrieval of catalog entries Appropriate data structure and storage format Determining the operational characteristics of the storage solution

Information Keeping and Administration (22%).

Identify the functional features of an analytics storage solution.

– Identify frequent methods of retrieving information

To define a data lifecycle based on usage patterns and business requirements, one must first choose an appropriate data layout, schema, structure, and format.

Find the best way to organize your data and keep track of its metadata.

Controlling (17%)

Determine how to design and architect the data processing solution; Identify the best data processing technology for the situation; Learn how the solution you implemented actually works.

Dealing with (24%).

– Identify necessary features in a data processing solution

Create a system to clean and format data for analysis.

Data processing solution automation and implementation

Dissection (17%

Determine and optimize the analytical operational characteristics; determine the necessary tools and techniques for analysis; design and architect the analytical solution;

Information Display and Analysis (18%)

Identify the functional properties of a visualization and analysis tool

Determine the best method for analyzing the data at hand Choose the most effective method of displaying the data you’ve gathered

Imagineering (14%).

How to design and build the Visualization platform; Determining and optimizing the Visualization system’s operational characteristics; Determining the appropriate techniques for delivering the results/output

Visualization and analysis have been combined in the new exam.
Data Security (20%)

Choose the right technology to enforce data governance; Identify encryption needs and/or implementation methods; Figure out how to protect the accuracy of your data – Examine the normative constraints (removed from new exam)

Safekeeping (18%)

Data Governance and Compliance Controls Include: – Using Appropriate Authentication and Authorization Mechanisms – Using Appropriate Data Protection and Encryption Methods –

Differences Summarized:

 

Domain Big Data

(Old Exam)

Data Analytics

(New Exam)

Difference
Domain 1: Collection 17% 18% +1%
Domain 2: Management of Information Storage 17% 22% +5%
Domain 3: Processing 17% 24% +8%
Domain 4: Synthesis and Display (combined in new) 29% 18% -11%
Domain 5: Security 20% 18% -2%

That the combined score for Analysis and Visualization has dropped from 29% to 18% is shocking. I’m confused by AWS’s decision to shorten this section in an era when visuals make even the most complex concepts easier to grasp.

Here are some pointers for the new exam, based on the experiences of those who took the beta version:

Primitive 1: The Archives – Kinesis and Managed Streaming have been identified as two notable Less emphasis on the Internet of Things means that familiarity with Kafka is now more crucial than ever. It’s unclear how much of that would appear on a real test.

S3, the Glue Data Catalog, and Redshift scenario questions are typical of Domain 2: Storage and Data Management. There aren’t a lot of people asking about DynamoDB, so your inquiry will not be ignored.

Subdomain 3: Processing – You should be familiar with AWS Glue, S3, Redshift processing, and EMR, as you may be asked scenario-based questions on these topics. You can anticipate questions on automation, as that is a new assessment focal point introduced by this domain.

It goes without saying that you should be familiar with Amazon QuickSight if you’re interested in Domain 4 (Analysis and Visualization). One section of the new test, but essentially a streamlined version of the old test’s material.

Domain 5: Security, with an emphasis on encryption using S3, EBS (both client-side and server-side). Integration with Active Directory may be the subject of a quiz.

Given the rapid pace of innovation, only time will tell which training providers offer the most relevant and up-to-date curriculum. You’ll find some useful resources for your study below.

Meanwhile, AWS preparation paths shouldn’t shift too much, and there’s still a lot of common ground between the AWS BigData Certification and the AWS Data Analytic Certification. Keep in mind that reviewNprep.com is your one-stop shop for all the AWS BigData preparation paths you need to not only pass AWS certifications but also excel on the associated exams.

As far as I am concerned, that’s it. I really hope this article helped you out. See also our earlier post where we discussed the AWS SAA-C02 Associate Architect Certification update.