AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam

AWS-certified data analytics specialty exam is a certification by Amazon web services to validate the skill of candidates in the areas of big data and data analytics. That is also renowned as a big data specialty certification. This certification is ideal for applicants who want to get industry-recognized credentials in their field. It makes a candidate an expert in big data services and Amazon web services analytics. That gives experience in designing, building, security, and maintaining AWS analytics solutions. But it is only good for those who have credibility in cost efficiency, security, and productivity in analytics solutions. One of the most important factors that contribute in this regard is the extraction of data insights. Center makes validation the following skills in this certification exam:

• Understanding of AWS data analytics services and ways of their integration with each other.
• Relevancy of AWS data analytics with data life cycle including storage, processing, collection, and visualization.

Criteria for Specialty (DAS-C01) Exam

Before starting their preparation for AWS certified data analytics specialty exam DAS-C01, it is essential to get a deep understanding of its requirements. That will help you to know whether you are ready for it or not. The board encourages a number of candidates to appear in the exam and there are not very hardbound criteria. There is only a few recommended knowledge and experiences that are essential to appear in the exam. Those are assistants to better for selection for those who can qualify up to a large percentage. These are the prerequisites of the exam:

• The candidate must have 5 years of experience in big data analytics technologies.
• 2 years of working experience in Amazon web services.
• Fluency in a number of AWS services including designing, security, building, and maintaining data analytics solutions.

Exam specifications

To get the details of the exam before going for the preparation of it is mandatory to cover the exam with flying colors. That is also included in the preparation guide by Amazon Web Services. That will guide you to the confidence that is required to build skills that are actually important for exams. First of all, move towards the exam format. You have to solve multiple-choice and multiple-response questions. In multiple choice there will be 4 choices for each question and select one that you find more appropriate. And in multiple responses, you have to select two choices out of five. Rest will be distractors that will be close to the question as well but choose what you find most relevant. There is no availability to appear online in the exam you have to go to the testing center. The duration for the exam is 3 hours with a registration fee of 300 USD. You can attempt exams in four languages including English, Korean, Japanese, and Chinese.

Areas covered in Exam

aws certified data analytics preparation guide by XtremeLabs Marketplace is incomplete without covering the domains of the exam. That indicates the topics we have to cover in the exam. Our exam guide covers these four domain:

• Collection (18%)
• Storage and Data Management (22%)
• Processing (24%)
• Analysis and Visualization (18%)
• Security (18%)

Collection

The first domain in the data analytics specialty (DAS-C01) exam is a collection that deals with the collection of data for analytics. That covers about 18% of the total questions included in the exam. Following are the sub-topics we have to cover in this first domain:

• Selecting the characteristics for operational collection apparatus.
• Finding a system for managing the volume, frequency, and data source.
• Selecting a system of collection to characterize data like compression, format, and order.

Storage and Data Management

It is the second important domain of the AWS data analytics specialty exam that deals with data management and storage. That counts as 22% from the total part of the exam. These are the subtopics you have to cover in this domain:

• Finding a storage solution for analytics with getting operational characteristics of it.
• Making patterns for data retrieval and access.
• Selection of data structure, layout, format, and schema.
• Defining data life cycle with respect to business requirements and usage patterns.
• Making ideal systems for metadata management and cataloging data.

Data Processing

The third domain for the AWS data analytics specialty exam is data processing. It is the most significant part of the exam covering about 24% of it. Subtopics covered in this domain are given as:

• Calculating requirements for data processing solutions.
• Designing solutions for preparation of data and transformation for data analysis.
• Automation of data processing ensures the smoothness of solutions.

Data Analysis and Visualization

The next domain in the AWS certified data analytics exam is data analysis and visualization. That covers about 18% of the total number of questions in the exam. Subdomains included in it are:

• Set up operations for data analysis and visualization.
• Making an ideal analysis for any particular situation.
• And selection of an ideal data visualization as well for any particular situation.

Data Security

Last domain in the AWS certified data analytics guide is data security. That deals with securing data insights and covering about 18% of a total number of questions in the exam. These are the subdomains covered in it:

• Finding mechanisms for authorization and authentication.
• Implementing data encryption and protection techniques.
• Ensuring data governance and compliance with the implementation of controls.

This complete reflection on exam criteria, specifications and understanding of domains will help you to have a targeted preparation of exam. Give the right direction to yourself by finding direct topics covered in each domain.