There is no clear way to undermine the importance of AWS (Amazon Web Services) in the world of the cloud. Over the years, AWS has been a popular name in the public cloud, and most important of all, it has been leading the professional certification landscape. You can find a lot of information regarding AWS certified data analytics specialty exam preparation with just a simple online search nowadays. The rising demand for AWS and the emerging improvements in offerings on AWS is clearly visible now.
Therefore, the new certification exams help professionals showcase proof of the skills required for particular AWS job roles. As the focus of enterprises on the importance of data increases considerably, the demand for data-oriented professionals would increase. Therefore, the AWS data analytics specialty certification can give a considerable amount of support for your career if you are interested in data-based job roles.
The following discussion provides an illustration of an AWS data analytics specialty exam preparation guide. Aspiring candidates for the AWS data analytics specialty exam could use this guide for understanding the best practices to improve their preparations for the exam. The critical highlights of the following discussion would include important details about the AWS data analytics specialty exam.
Candidates can learn about the requirements for the exam, the basic format of the exam, and the domains covered in the exam. However, the most important part of this discussion would be the illustration of recommended steps for the best AWS certified data analytics specialty exam preparation.
AWS Data Analytics Specialty Certification Exam
Before starting your preparations for the AWS data analytics specialty exam, it is very important to know more about the certification. Candidates should note that the AWS Data Analytics certification is a specialty certification. It validates the skills of a candidate species in the area of big data and data analytics. This certification was earlier titled as “AWS Big Data Specialty Certification”.
AWS Certified Data Analytics Specialty exam is the new name given to the existing AWS Certified Big Data Specialty exam, with some modifications. Candidates can take the AWS Certified Data Analytics Specialty exam from April 13, 2020 but the AWS Big Data Specialty exam will be available until July 1, 2020. So, candidates can make a choice between AWS Big Data Specialty and AWS Data Analytics Specialty exams before July 1, 2020.
Any AWS data analytics specialty exam preparation guide showcases that the exam is the right avenue for obtaining an industry-recognized AWS credential. The AWS data analytics specialty certification exam tests the expertise of candidates in AWS analytics and data lakes services. Candidates could showcase their skills for designing, building, security, and maintenance of analytics solutions on AWS.
In addition, candidates have to prove their credibility and confidence by ensuring cost-efficiency, security, and productivity in analytics solutions. Most important of all, candidates should be able to demonstrate expertise in the delivery of promising insight from data. Your AWS certified data analytics specialty exam preparation would have to focus on the following abilities tested by the certification.
- Definition of AWS data analytics services and understanding the ways in which they integrate with each other.
- Explanation of the relevancy of AWS data analytics services for the data life cycle including collection, storage, processing, and visualization.
Preparing for the AWS Certified Big Data – Specialty exam? Follow this AWS Big Data Specialty preparation guide and get ready to pass the exam in the first attempt.
Requirements for the Exam
Candidates could start their AWS certified data analytics specialty exam preparation with a review of the requirements for the exam. Going through the requirements can help you find whether you are ready to appear for the exam. One of the important things that candidates should keep in mind is that AWS does not have any prerequisites.
Candidates don’t have to fulfill any eligibility criteria for appearing for any AWS certification exam. AWS wants to encourage more candidates to appear for certification exams, and the lack of hardbound criteria to appear for AWS certification exams definitely opens the gates to AWS certification exams for candidates. On the other hand, AWS also presents the recommended knowledge and experience requirements for each certification exam.
Following the recommended knowledge and experience requirements can help candidates ensure better chances of qualifying the exam. Here is an outline of the recommended knowledge and experience requirements to emphasize before starting AWS certified data analytics specialty exam preparation.
- Minimum of 5 years of experience in dealing with data analytics technologies.
- Minimum of 2 years of practice experience in working with AWS.
- Experience and fluency in working with AWS services for designing, building, security and maintenance of analytics solutions.
Details about the Exam
The basic details of the AWS data analytics specialty exam are a mandatory addition in any preparation guide for AWS certified data analytics specialty exam. Candidates should know the basic details of the exam for anticipating the formalities they have to follow for the exam. If the candidates know thoroughly about the exam, then they can develop the confidence required for the actual exam.
The first detail about the AWS data analytics specialty exam that you should note is the exam’s format. The AWS data analytic specialty exam presents questions in a multiple-choice and multiple-answer format. Candidates have to appear for the exam at a testing center. The total duration of the exam will be almost 180 minutes or 3 hours. The registration fee for the exam is $300 USD, and it is available in four languages, such as English, Korean, Japanese, and Simplified Chinese.
Domains Covered in the Exam
The preparation guide for AWS certified data analytics specialty exam is incomplete without reflecting on the domains covered in the exam. The domains in an AWS certification exam clearly indicate the topics that will be the basis of questions in the exam.
A proper review of the domains covered in an AWS exam provides a competitive advantage to candidates for their preparations. How? Rather than focusing on the whole domain of data analytics, candidates could focus on topics that they will deal with in the exam. The best tool to obtain a reliable impression of the domains is the AWS Certified Data Analytics Specialty DAS-C01 exam guide. The exam guide for the AWS data analytics specialty exam contains the following domains.
- Storage and Data Management.
- Analysis and Visualization.
Every candidate should use the exam guide for AWS certified data analytics specialty exam preparation. The exam guide not only helps in finding the ideal topics for your preparation but also the weighting for individual domains. Candidates can use the weightings for each domain to plan the efforts and time they can invest in their preparations. Let us break down the AWS Certified Data Analytics Specialty DAS-C01 Exam Guide further to find the subtopics in each domain as follows.
Domain 1: Data Collection for Analytics
The first important domain for AWS certified data analytics specialty exam preparation deals with data collection for analytics. This domain accounts for almost 18% of the total questions in the exam. The subtopics covered in this domain are as follows.
- Selection of ideal operational characteristics for the collection apparatus.
- Selecting a collection system for managing frequency, volume, and source of data.
- Selection of collection system tailored for key data characteristics such as compression, order, and format.
Domain 2: Storage and Data Management
The second important domain in the AWS data analytics specialty exam deals with storage and data management. This domain is one of the crucial components of the exam as it accounts for almost 22% of the total questions. The subtopics covered in this domain are as follows.
- Selection of operational characteristics of a storage solution for analytics.
- Selection of patterns for data access and retrieval.
- Selectiing an appropriate data layout, format, schema, and structure.
- Definition of data lifecycle on the grounds of usage patterns and business requirements.
- Selection of the ideal system for cataloging data and metadata management.
Domain 3: Data Processing
The third domain for AWS certified data analytics specialty exam preparation deals with data processing. This domain is the most significant one in the AWS data analytics specialty exam and accounts for almost 24% of the total questions in the exam. The subtopics covered in this domain are as follows.
- Establishing ideal requirements for data processing solutions.
- Designing solutions for transformation and preparation of data for analysis.
- Automation and ensuring operations of data processing solutions.
Domain 4: Data Analysis and Visualization
The next important domain in the AWS data analytics specialty exam deals with data analysis and visualization. This domain accounts for almost 18% of the total questions in the exam. The subtopics covered in this domain are as follows
- Establishing the operational characteristics of an analysis and visualization solution.
- Selection of ideal data analysis solution for a specific scenario.
- Selection of ideal data visualization solution for a specific scenario.
Domain 5: Data Security
The final domain in the AWS data analytics specialty exam deals with data security. This domain accounts for 18% of the total questions in the exam. The subtopics covered in this domain are as follows.
- Selection of ideal mechanisms for authentication and authorization.
- Implementation of data protection and encryption techniques.
- Implementation of controls for ensuring data governance and compliance.
A thorough reflection on the domains covered in the AWS data analytics specialty exam helps candidates take their preparations in the right direction. Most important of all, candidates will find direct topics in each domain that they have to study for the exam.
Preparing for the AWS Certified Data Analytics Specialty exam? Try the AWS Data Analytics Specialty Free Test and check your preparation level for the exam.
Steps for the AWS Certified Data Analytics Specialty Exam Preparation
After reflecting on the domains covered in the AWS data analytics specialty exam and the important details related to the exam, it is important to reflect on the best practices for AWS certified data analytics specialty exam preparation. Most of the candidates don’t have a definitive idea for how to prepare for the AWS data analytics specialty exam.
However, there is no reason to worry as you can follow the pointers mentioned below for adopting the best course of action for your preparations.
Official Page, Exam Guide, Sample Questions
Undoubtedly, you have to visit the official certification page of the AWS data analytics specialty exam to start your preparations. An official certification page is a reliable tool for obtaining information about the AWS data analytics specialty exam.
Candidates can learn all the important details about the exam, such as its format, duration, and registration fees. In addition, the official certification page helps in your AWS certified data analytics specialty exam preparation by providing access to the exam guide and sample questions.
The exam guide provides an important self-assessment tool for identifying gaps in skills and knowledge for the certification exam. The direct download link for the sample questions on the official certification page is also crucial for the preparation of candidates. The sample questions show the type and format of questions that candidates can expect in the exam.
Follow the Recommended AWS Learning Paths
The next course of action for candidates in AWS certified data analytics specialty exam preparation is to go for the recommended AWS learning paths. Candidates could opt for the following two courses in the AWS learning path for data analytics specialty exam.
- Data Analytics Fundamentals.
- Big Data on AWS.
Whitepapers and FAQs
If you have been looking for promising solutions on how to prepare for AWS data analytics specialty exam, then you must try whitepapers and FAQs. The whitepapers are authored by independent analysts, AWS team, AWS partners, and subject matter experts. They can offer a broader perspective on the topics for the AWS data analytics specialty exam. The whitepapers recommended for the AWS data analytics specialty exam are as follows.
- Amazon EMR Migration Guide: How to Move Apache Spark and Apache Hadoop from On-Premises to AWS.
- Big Data Options on AWS.
- Teaching Big Data Skills with Amazon EMR.
- Lambda Architecture for Batch and Stream Processing.
- Reference Architecture: SQL Based Data Processing in Amazon ECS.
- Streaming Data Solutions on AWS with Amazon Kinesis.
In addition, candidates should also focus on the FAQs related to AWS data analytics services such as Athena, EMR, Kinesis Data Streams, Kinesis Data Analytics, Kinesis Video Streams, Data Exchange, Data Pipeline, Glue, ElasticSearch Service and others.
Online Courses and Practice Tests
The final yet major contributor to better preparations of a candidate for the AWS data analytics specialty exam is an online course. You should opt for reliable training courses from popular online certification training providers such as Whizlabs. The training courses help candidates learn from experts in the field of AWS data analytics.
In addition, the learning of candidates in these courses aligns perfectly with the objectives of the exam in mind. Most important of all, online certification training providers also help candidates avail practice tests. The practice tests are a reliable indicator of the candidate’s skill and knowledge in the different domains of the exam.
Want to know more about the AWS Certified Data Analytics Specialty exam? Start a discussion in Whizlabs Forum and get answers to all of your questions.
Are You Up for the AWS Data Analytics Specialty Exam?
Now, you can take the big step to start your preparations for the AWS data analytics specialty certification exam. Other than following the above-mentioned pointers for AWS certified data analytics specialty exam preparation, candidates should also explore beyond courses and guides. For example, participating in online communities and study groups can help candidates find novel insights regarding the exam.
Most important of all, candidates can get a support exam for their preparations, thereby ensuring favorable outcomes for their preparations. Another crucial thing that candidates should remember for enhancing their preparations is to take care of their health and diet. Don’t stress too much, and move ahead by following the best practices recommended by experts.
Enroll for the AWS Data Analytics Specialty practice tests and get started with your preparations right now to make sure you have a promising career ahead!
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