AWS Certified Data Analytics - Specialty (DAS-C01) Exam: Guide by Xtremelabs Marketplace

The AWS-certified data analytics comprehensive guide by Xtremelabs Marketplace will help you to prepare for the AWS-certified data analytics Specialty DAS-C01 exam by validating your technical skills. That will make you able to drive value from data by configuring your expertise in designing an implementation.

This guide by XtremeLabs marketplace is designed for IT professionals and business analysts to surpass big data analysis.

This guide will make you ready for the testator of expert content with key concepts and real-world knowledge.  And creates the ability to build, secure, and maintain analytics in the data. These are the purposes for which people dive into this specialty exam. 

• Definition of Amazon web services analytics and ways by which they integrate to each other. 

• Finding the relevancy in analytics services for its visualization, storage, processing, and collection. 

Criteria for AWS Certified Data Analytics Speciality Exam 

Before starting the preparation of the exam, it is good to get its requirements and criteria to get a clear understanding of its proceedings.

With this, you will get an idea whether you are ready to appear in the exam and these prerequisites make it different from others including AWS-certified database specialty DBS-C01. It is interesting to know that the AWS-certified data analytics speciality exam does not have such tough prerequisites and criteria that encourage very many people to appear in it.

But recommended knowledge has been described by them to have that will lead you to conquer it. An applicant should have 5 years of experience in data analytics.

It is necessary to have 2 years of hands-on experience in building, designing, maintaining, and securing analytics solutions. It is also good to cover these areas to mark well in the exam: 

• Machine learning 
• Container-based solutions 
• High-performance computing system 
• Transactional database solutions 

Specialty (DAS-C01) Exam Specifications 

In this guide for AWS certified data analytics study guide specialty das c01 exam, we will guide for both types of questions that will be there in the exam. You will get an easy idea if you are familiar with the AWS Cloud Practitioner exam guide. One is multiple choice, and the other is multiple responses. In multiple-choice, you have to mark one that you find correct, and in multiple responses, you will mark two out of five.

That is more relevant to the question. In these questions, distractors will also be very close to the question statement, but you can select one if you have a clear understanding and concepts about it. There are 50 questions in the exam that are going to affect your scores.

It is mandatory to appear in the exam center to participate in it. The total duration of it is 3 hours or 180 minutes. Now it is available in four languages including English, Korean, Chinese, and Japanese. 

Subject Areas Covered in the Exam 

Preparation is good only if you are following a targeted approach and covering domains that are declared by the center. These domains will highlight the topics questions about which will be asked.

Therefore, candidates are finding a competitive advantage to cover the domains in their way of preparation. Data analytics is a wide topic and few areas of it are included in the AWS certified data analytics study guide specialty das c01 exam.

So XtremeLabs Marketplace is preparing candidates accordingly. These are the domains we are covering in this Specialty (SAA-C03) Exam. 

• collection: 18%
• Storage and data management: 22%
• Processing: 24%
• Analytics and visualization: 18%
• Security: 18%

Collection 

In this domain, we will guide you about the operational characteristics of the collection system. These few are the key points to learn in this domain. 

• Confirmation of data loss within limits. And finding the costs of data acquisition, provision, and transfer from different resources. 
• Solving data loss and faults in the collection system and taking remedial actions for it. 
• Finding data persistence for data capturing accurately with the finding of latency characteristics of it. 
• Determine the flow and volume characteristics of incoming data with the finding of potential solutions. 
• Having a deep record of fault tolerance, latency, account scalability, and cost. And make sure to find the collection solutions to satisfy the connectivity of the source data system. 

Storage and Data Management 

In this domain, we are going to guide you about the determination of operational solutions of storage analytics. 

• Have a deep understanding of storage services with a comparison of cost compared to performance. 
• Getting info about durability, latency, and reliability characteristics of storage depending on its requirements. 
• What is storage and eventual consistency of the storage system that will help you to address data freshness requirements and you will also get in aws certified cloud practitioner. 
• Getting expertise in updated storage patterns including batching, bulk, micro and transactional. With tricks on how to change the characteristics of data on the database and updates. 
• Ways of addressing query latency requirements with up to-the-mark storage solutions. 

Data Processing 

These are the requirements if you want to cover data processing. And we are going to guide you all about it. 

• Data preparation and all the ways of its processing using different data resources and targets. 
• Performance evaluation and finding orchestration needs. regulation of services for cost, availability, and scalability. 
• Getting e ETL and ELT techniques to balance workloads in real-time. And implementation of scaling, replication, and failover. Finding practical cost optimization.
  Aggregation of data for downtime consumption to enable its logging, auditing, monitoring, and traceability. 

Data Analytics and Visualization 

Determination of characteristics for data visualization. These are the areas we are going to cover it: 

• Cost of analysis and visualization with getting scalability of analysis. 
• Failover discovery determination and analysis of fault tolerance with RTO and RPO. 
• Finding the availability of analysis tools. An evaluation of interactive and static data presentation. 
• Translation of performance requirements for an appropriate visualization process. 
• Comparisons of all collected data solutions and selecting the right analysis depending upon customer base. 
• Find the capabilities of visualization tools to interact with use cases. And implementation of integrated solutions in heterogeneous data sources. 

Data Security 

There are several task statements in this part for the identification of authorization and authentication mechanisms. These few are the areas you must cover to surpass this department of examination:

• Find the implementation of different authentication mechanisms including federated access, AWS identity, and access management. 
• Methods of authorization are ACLs policy, column-level permissions, and role-based controls. 
• The second statement covers masking needs and data encryptions. Encryption approaches in it are AWS key management service, server-side encryption, and client-side encryption. 

Steps of Preparation with our Study Guide 

AWS certified data analytics specialty DAS-C01 exam study guide is designed by Xtremelabs Marketplace to make applicants familiar with designing, managing, and protecting AWS data analytics.

These are the steps we are following to make you people equipped with quality preparation. 

• To serve you with a basic understanding we will give a manual guide to make you familiar with basic understanding. 
• Deliver lessons and use cases on AWS services with the tutorials. And will cover all the domains discussed above. After covering it a candidate can apply easily for aws database certification. 
• You will go through machine hacks, hackathons, and assessment platforms that prepare you for professional certifications. And We have remarked an area for you, where you will write essential advice and hints to pass the exam with flying colours. To get more detailed information you can follow us on YouTube or LinkedIn. 

FAQs

How much time is required to prepare for DAS-C01 According to   aws certified data analytics study guide?

The average time for the preparation of the data analytics specialty exam is 2 to 6 months. But preparation also depends upon the strategy to follow for it and time may vary accordingly. 

What are the prerequisites of the data analytics specialty exam?

A person should have 5 years of experience in data analytics technologies and two years of working experience in Amazon web services.  And good knowledge in building, securing, and maintaining analytics solutions.