AWS Certified Big Data Specialty Exam Preparation Guide
Are you interested in becoming an AWS Certified Big Data Specialty professional? If so, you've come to the right place. This comprehensive exam preparation guide will help you navigate the certification process and pass the AWS Certified Big Data Specialty exam with flying colors.
Exam Topics:
Data Collection
- Design and implement scalable, efficient, and secure data collection
- Identify and compare different methods of data collection
- Implement mechanisms to ensure data fidelity and consistency
Storage and Data Management
- Design and implement scalable, secure, and cost-effective storage solutions for big data
- Implement data retention, archival, and lifecycle management policies
- Implement mechanisms to ensure data availability, durability, and fault tolerance
Processing
- Design and architect big data processing solutions
- Create and manage scalable infrastructure for data processing
- Implement mechanisms to ensure data consistency and accuracy
Analysis and Visualization
- Design and implement scalable and secure big data analytics solutions
- Create and manage scalable infrastructure for data analysis and visualization
- Implement mechanisms to ensure data privacy, security, and compliance
Exam Details:
Exam Cost:
The AWS Certified Big Data Specialty exam costs $300 USD.
Exam Duration:
The exam consists of 65 multiple-choice and multiple-response questions, and you will have 170 minutes to complete it.
Exam Format:
The exam is available in multiple languages and can be taken online or at a testing center. It is a proctored exam, which means that you will be monitored throughout the test.
Passing Score:
The passing score for the AWS Certified Big Data Specialty exam is 750 out of 1000.
Delivery Method:
You can register and schedule your exam through the AWS Certification Portal.
Difficulty Level:
The AWS Certified Big Data Specialty exam is considered to be of an intermediate to advanced difficulty level.
Prerequisites of the AWS Certified Big Data Specialty:
- You should have a minimum of five years of experience in data analytics and at least two years of experience using AWS technology.
- You should have a solid understanding of AWS services such as S3, EMR, and Kinesis.
- You should have experience in designing and implementing big data solutions.
- You should have knowledge of at least one programming language such as Python, Java, or Ruby.
Benefits of the AWS Certified Big Data Specialty Certification:
- Enhances your skills in designing and implementing big data solutions on AWS.
- Helps you gain recognition and credibility as an expert in the field of big data analytics.
- Opens up new career opportunities and higher salary potential.
- Allows you to join the AWS Certified community and access exclusive resources, training, and events.
- Validates your knowledge and expertise to customers and employers.
Preparing for the AWS Certified Big Data Specialty Exam:
Preparing for the AWS Certified Big Data Specialty exam can be challenging, but with the right resources and strategies, you can increase your chances of success. Here are some tips to help you prepare:
1. Understand the exam topics:
Make sure you have a solid understanding of the exam topics and objectives. Read the official exam guide and review the AWS documentation to gain a deeper understanding of the AWS services and features covered in the exam.
2. Take an AWS Certified Big Data Specialty training course:
Consider taking an AWS Certified Big Data Specialty training course to gain a more structured and comprehensive understanding of the exam topics. AWS offers both classroom-based and online training courses that cover the exam content in detail.
3. Practice with sample questions:
Practice with sample questions and quizzes to get a feel for the types of questions and format of the exam. AWS provides sample questions and practice exams on their website.
4. Hands-on experience:
Gain hands-on experience by building and implementing big data solutions on AWS. This will not only help you understand the exam topics better but also give you practical skills that you can apply in your job.
5. Join study groups:
Join AWS Certified Big Data Specialty study groups and communities to connect with other professionals preparing for the exam. You can share resources, ask questions, and get support from others who are going through the same experience.
Conclusion:
The AWS Certified Big Data Specialty certification is a valuable credential that can help you advance your career in the field of big data analytics. With the right preparation and resources, you can pass the exam and gain recognition as an expert in designing and implementing big data solutions on AWS. Use this exam preparation guide as a starting point and make sure to take advantage of all the resources and strategies available to you.
Good luck with your AWS Certified Big Data Specialty exam preparation!