AWS Certified Data Analytics – Specialty Certification: A Comprehensive Guide on how to get certified FAST

AWS Certification is a set of professional certifications offered by Amazon Web Services (AWS) that validate the skills and knowledge of IT professionals in various AWS technologies and services. AWS certifications help individuals demonstrate their expertise in using AWS services and help organizations identify skilled professionals who can design, deploy, and manage AWS infrastructure and applications.

There are different levels of AWS certifications, including foundational, associate, professional, and specialty certifications, each with prerequisites and exam requirements. AWS certifications cover many topics, including cloud computing, big data, security, networking, and machine learning. By obtaining an AWS certification, IT professionals can improve their career prospects, enhance their credibility, and demonstrate their commitment to continuous learning and professional development.

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What is AWS Certified Data Analytics – Specialty Certification?

AWS Certified Data Analytics – Specialty Certification is a professional certification offered by Amazon Web Services (AWS) that validates the skills and knowledge of data professionals in designing, building, and maintaining big data solutions using AWS tools and services. This certification is intended for data professionals who work with data analytics technologies and want to demonstrate their expertise in using AWS tools and services for data analytics. The certification exam covers various topics such as data collection, storage, processing, analysis, and visualization, as well as data security and troubleshooting techniques for AWS big data solutions. This certification can help data professionals advance their careers and increase their earning potential.

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Why Should You Pursue AWS Certified Data Analytics – Specialty Certification?

Suppose you are a data professional who is looking to advance your career in the field of big data and analytics. In that case, AWS Certified Data Analytics – Specialty Certification is an excellent choice. This certification will help you validate your skills and expertise in data analytics and give you an edge over your peers in the job market.

Here are some other reasons why you should pursue AWS Certified Data Analytics – Specialty Certification:

1. High Demand for Data Professionals with AWS Expertise

As more and more companies move their data to the cloud, the demand for data professionals with AWS expertise is skyrocketing. AWS is the leading cloud provider in the market, and many companies are adopting AWS for their big data solutions. AWS Certified Data Analytics – Specialty Certification will help you stand out in the crowd and increase your chances of getting hired.

2. Enhance Your Skills and Knowledge

AWS Certified Data Analytics – Specialty Certification is designed to test your skills and knowledge in various areas related to data analytics. Pursuing this certification will enhance your skills and expertise in data analytics and learn how to design, build, and maintain big data solutions using AWS tools and services.

3. Increase Your Earning Potential

AWS Certified Data Analytics – Specialty Certification is a valuable credential that can help you increase your earning potential. According to the 2021 IT Skills and Salary Report by Global Knowledge, AWS Certified Data Analytics – Specialty Certification is one of the top-paying certifications in the IT industry.

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What Are the Prerequisites for AWS Certified Data Analytics – Specialty Certification?

Before pursuing AWS Certified Data Analytics – Specialty Certification, you must meet certain prerequisites. Here are the requirements for this certification:

1. Hands-on Experience with AWS Big Data Services

You should have hands-on experience with AWS big data services such as Amazon S3, Redshift, Amazon EMR, and Amazon Kinesis. You should also have experience with AWS analytics services such as Amazon QuickSight and AWS Glue.

2. Knowledge of Big Data Technologies

You should have a good understanding of big data technologies such as Hadoop, Spark, and NoSQL databases.

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AWS Certified Data Analytics – Specialty Exam details

AWS Data Analytics Exam Prerequisite:

• Candidates should have a basic understanding of data analytics and its concepts
• Candidates should have at least five years of experience in data analytics technologies
• Candidates should have at least two years of experience using AWS services for data analytics

These are just recommendations. There are no strict prerequisites before the exam.

Exam Format:

• The exam consists of multiple-choice and multiple-response questions
• The exam includes a mix of questions that test the candidate's knowledge and practical skills
• The exam is available in English, Japanese, Korean, and Simplified Chinese

DAS-C01 Exam Cost:

• The exam fee is $300 USD

Exam Duration:

• The exam duration is 180 minutes (3 hours)

DAS-C01 Passing Score:

• The passing score is not predefined and is determined by a statistical analysis of the exam results

AWS Data Analytics Covered Topics in Exam: The exam covers various topics related to data analytics using AWS services, including:

• Collection, ingestion, and storage of data
• Data processing, transformation, and analysis
• Data visualization and reporting
• Machine learning and AI services for data analytics
• Security and compliance considerations for data analytics on AWS

Validity Period and Renewal:

• AWS certifications are valid for 3 years from the date of certification
• Candidates can renew their certification by passing a recertification exam or earning a higher-level certification in the same track.

What Is the Exam Format for AWS Certified Data Analytics – Specialty Certification?

The AWS Certified Data Analytics – Specialty Certification exam is a multiple-choice, multiple-answer exam. You will have 180 minutes to complete the exam with 65 questions. The passing score for this exam is 750 out of 1000.

Here are the topics covered in the exam:

1. Collection

This topic covers various data collection techniques such as batch, streaming, and hybrid. You will also learn how to design and implement data collection solutions using AWS services.

2. Storage

This topic covers various data storage solutions such as Amazon S3, Amazon EBS, and Amazon Glacier. You will also learn how to design and implement data storage solutions using AWS services.

3. Processing

This topic covers various data processing solutions such as Amazon EMR, Amazon Glue, and AWS Lambda. You will also learn how to design and implement data processing solutions using AWS services.

4. Analysis and Visualization

This topic covers various data analysis and visualization solutions such as Amazon QuickSight, Amazon Athena, and Amazon Redshift. You will also learn how to design and implement data analysis and visualization solutions using AWS services.

5. Security

This topic covers various data security solutions such as encryption, access control, and data classification. You will also learn how to design and implement data security solutions using AWS services.

6. Troubleshooting

This topic covers various troubleshooting techniques for AWS big data solutions. You will learn how to identify and resolve common issues that may arise in AWS big data solutions.

How to Prepare for AWS Certified Data Analytics – Specialty Certification?

Preparing for AWS Certified Data Analytics – Specialty Certification requires hands-on experience and theoretical knowledge. Here are some tips to help you prepare for this certification:

1. Hands-on Experience

To prepare for AWS Certified Data Analytics – Specialty Certification, you should have hands-on experience with AWS big data services. This will help you understand how these services work and how to design and implement big data solutions using these services.

2. Study the Exam Guide

The AWS Certified Data Analytics – Specialty Certification exam guide provides a detailed outline of the topics covered in the exam. Make sure to study the exam guide thoroughly to understand the exam format and the topics covered.

3. Study AWS Documentation

AWS provides detailed documentation for all its services. Study the AWS documentation for the big data services covered in the exam.

4. Practice with Sample Questions

AWS provides sample questions for the certification exam. Make sure to practice these questions to understand better the exam format and the types of questions asked.

5. Join AWS Communities

Joining AWS communities such as the AWS Developer Forums and the AWS Big Data Blog can help you stay updated with the latest developments in AWS big data services and learn from other professionals.

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AWS Certified Data Analytics – Specialty training

Candidates can take advantage of AWS's various training options to prepare for the AWS Certified Data Analytics – Specialty certification exam.

1. AWS Training and Certification: AWS offers a variety of training courses and learning paths for data analytics professionals, including:

• AWS Fundamentals of Data Analytics: This free digital course introduces the fundamentals of data analytics and the AWS services for data analytics.

• Big Data on AWS: This instructor-led course covers the AWS services and tools for big data processing and analytics.

• Data Warehousing on AWS: This instructor-led course covers the AWS services and tools for building and managing data warehouses on AWS.

• Machine Learning on AWS: This instructor-led course covers the AWS services and tools for machine learning and AI.

• Exam Readiness: AWS Certified Data Analytics – Specialty: This course provides an overview of the exam format, topics, and question types and includes practice exams and quizzes.

2. AWS Partner Network (APN) Training: AWS partners offer training courses and resources for AWS technologies and services, including data analytics. APN training includes:

• AWS Partner Training: AWS partners offer training courses for various AWS services, including data analytics.

• AWS Solution Training for Partners: This program provides training for AWS solutions and architectures, including data analytics solutions.

3. Self-Study and Practice: Candidates can also prepare for the AWS Certified Data Analytics – Specialty exam through self-study and practice, using various resources such as:

• AWS documentation and whitepapers: AWS provides extensive documentation and whitepapers on various topics related to data analytics on AWS.

• AWS sample questions and practice exams: AWS provides sample questions and practice exams to help candidates prepare for the exam.

• Third-party training and practice exams: Various third-party training providers offer training courses, practice exams, and study materials for AWS certifications.

By utilizing these training options and resources, candidates can enhance their knowledge and skills in data analytics on AWS and increase their chances of passing the AWS Certified Data Analytics – Specialty exam.

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AWS Certified Data Analytics – Specialty jobs

Achieving the AWS Certified Data Analytics – Specialty certification can open up several job opportunities for data analytics professionals. 96% of HR managers use IT certifications as screening or hiring criteria during recruitment. AWS is on the list of the most respected certifications in the IT certification world. Here are some of the job roles that require or prefer the AWS Certified Data Analytics – Specialty certification:

1. Data Analyst: A data analyst is responsible for collecting, analyzing, and interpreting large volumes of data to identify patterns and insights that can help businesses make informed decisions. Data analysts with AWS Certified Data Analytics – Specialty certification can leverage their knowledge of AWS services and tools to design and implement data analytics solutions on AWS.

2. Data Engineer: A data engineer is responsible for designing, building, and maintaining data pipelines and data storage systems. Data engineers with AWS Certified Data Analytics – Specialty certification can use their expertise in AWS services and tools to build scalable and efficient AWS data processing and storage systems.

3. Business Intelligence Developer: A business intelligence developer creates reports and dashboards that help businesses visualize and understand their data. Business intelligence developers with AWS Certified Data Analytics – Specialty certification can use their knowledge of AWS services and tools to design and develop business intelligence solutions that leverage AWS data analytics capabilities.

4. Cloud Data Architect: A cloud data architect is responsible for designing and implementing data architecture solutions on cloud platforms. Cloud data architects with AWS Certified Data Analytics – Specialty certification can use their knowledge of AWS data analytics services and tools to design and implement scalable and cost-effective data analytics solutions on AWS.

5. Solutions Architect: A solutions architect is responsible for designing and implementing end-to-end solutions that meet business requirements. Solutions architects with AWS Certified Data Analytics – Specialty certification can use their expertise in AWS data analytics services and tools to design and implement data analytics solutions that meet business needs and requirements.

Overall, the AWS Certified Data Analytics – Specialty certification can help data analytics professionals enhance their knowledge and skills in AWS data analytics services and tools, and increase their employability in various job roles in the data analytics industry.

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AWS Certified Data Analytics – Specialty salary

The AWS Certified Data Analytics – Specialty certification is a valuable credential for data analytics professionals, and it can positively impact their salaries. According to Payscale, the average salary for data analysts with the AWS Certified Data Analytics – Specialty certification is around $94,000 per year, while the average salary for data engineers with the certification is around $123,000 per year.

The salary for other job roles that require or prefer the AWS Certified Data Analytics – Specialty certification may vary depending on job location, years of experience, and specific job responsibilities. However, in general, having the AWS certification can demonstrate to employers that the professional has the knowledge and skills required to design and implement data analytics solutions on AWS, which can lead to higher salaries and more job opportunities.

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AWS Certified Data Analytics – Specialty dumps

We do not recommend using AWS Certified Data Analytics – Specialty dumps or any other exam dumps to prepare for the certification exam. Exam dumps are unauthorized and unethical resources that contain actual exam questions and answers obtained through fraudulent means, such as stealing or memorizing the questions during the exam.

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Conclusion

AWS Certified Data Analytics – Specialty Certification is a valuable credential for data professionals looking to advance their careers in big data and analytics. This certification will validate your skills and knowledge in designing, building, and maintaining big data solutions using AWS tools and services. With the high demand for data professionals with AWS expertise and the potential to increase your earning potential, AWS Certified Data Analytics – Specialty Certification is an excellent choice for data professionals.

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