Amazon Web Services Data-Engineer-Associate Exam Dumps
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- Target Audience: This exam is geared towards data engineers with 2-3 years of experience and 1-2 years of hands-on experience with AWS.
- Exam Format: You will face 65 questions (50 scored and 15 unscored) in a pass/fail format. AWS uses unscored questions to gauge the effectiveness of future exams.
Exam Content: The exam covers a broad range of topics, including:
- We design and implement data pipelines using AWS services like Glue, Lambda, and Step Functions.
- Choosing the right data store (S3, DynamoDB, Redshift, etc.) based on data characteristics and access patterns.
- We are designing data models and ensuring data quality throughout the pipeline.
- We are monitoring and troubleshooting data pipelines for optimal performance and cost efficiency.
To ace the exam, a comprehensive study plan is crucial. Here are some valuable resources:
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AWS Certified Data Engineer
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The exam is designed to validate skills in designing, building, securing, and maintaining analytics solutions on AWS for individuals with experience in data engineering roles.
The exam covers various domains related to data engineering on AWS, including data collection, storage, processing, and visualization, utilizing services like Amazon S3, Amazon Redshift, Amazon DynamoDB, Amazon EMR, AWS Glue, Amazon Kinesis, and more.
While there are no mandatory prerequisites, candidates must have at least two years of experience with AWS technology, proficiency in programming languages, and familiarity with AWS security best practices.
The exam consists of multiple-choice and multiple-answer questions, assessing candidates' ability to apply AWS data services to derive insights from data.
Candidates can prepare using resources provided by AWS, such as training courses, whitepapers, FAQs, and documentation. Practice exams and study guides are also available to help understand the exam format.
The certification is valid for three years from the date of issuance.
To maintain certification status, professionals must recertify by either passing a recertification exam or advancing to a higher level of certification.
Data engineers seeking to prove their skills in cloud data engineering and advance their career opportunities can benefit from obtaining this certification.
Services such as Amazon S3, Amazon Redshift, Amazon DynamoDB, Amazon EMR, AWS Glue, and Amazon Kinesis are covered in the exam.
The certification demonstrates expertise in designing, building,
securing, and maintaining analytics solutions on AWS that are efficient,
cost-effective, and scalable.