Amazon Web Services Data-Engineer-Associate Dumps
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Data-Engineer-Associate FAQs
The AWS Data-Engineer-Associate exam consists of multiple-choice and multiple-response questions. It evaluates candidates' skills in data engineering tasks, including data storage, processing, security, and analysis, ensuring a comprehensive assessment of their knowledge and practical abilities in AWS data solutions.
The AWS Data-Engineer-Associate exam includes 65 questions. These questions assess various aspects of data engineering on AWS, such as data storage, processing, and analytics. The mix of multiple-choice and multiple-response formats ensures a thorough evaluation of your expertise.
The passing score for the AWS Data-Engineer-Associate exam is 720 out of 1000. Achieving this score demonstrates a solid understanding of data engineering principles and practices within the AWS ecosystem, ensuring proficiency in data storage, processing, and analytics on AWS.
The AWS Data-Engineer-Associate exam lasts 180 minutes. This time allows candidates to thoroughly address 65 questions, covering data storage, processing, security, and analytics, ensuring a comprehensive assessment of their skills and knowledge in AWS data engineering.
The AWS Data-Engineer-Associate exam focuses on AWS-specific data engineering skills, including cloud-based data storage, processing, and analytics. In contrast, CompTIA's Data+ exam covers broader data analytics and data management principles, applicable across various platforms and not limited to AWS environments.
The AWS Data-Engineer-Associate certification can unlock career opportunities in roles such as Data Engineer, Cloud Data Architect, and Big Data Specialist. It validates expertise in AWS data services, making you a valuable asset for organizations leveraging AWS for data solutions.
For the AWS Data Engineer Associate exam, deep, practical knowledge of a core service portfolio is essential. Mastery should focus on AWS Glue for ETL and data cataloging, Amazon S3 and Redshift as primary storage and warehousing solutions, Amazon Kinesis for real-time data streaming, and AWS Step Functions and Lambda for orchestrating serverless data pipelines. Success hinges on understanding how these services integrate to build end-to-end data solutions, rather than on memorizing isolated facts.
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AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers
A data engineer needs to schedule a workflow that runs a set of AWS Glue jobs every day. The data engineer does not require the Glue jobs to run or finish at a specific time.
Which solution will run the Glue jobs in the MOST cost-effective way?
A car sales company maintains data about cars that are listed for sale in an area. The company receives data about new car listings from vendors who upload the data daily as compressed files into Amazon S3. The compressed files are up to 5 KB in size. The company wants to see the most up-to-date listings as soon as the data is uploaded to Amazon S3.
A data engineer must automate and orchestrate the data processing workflow of the listings to feed a dashboard. The data engineer must also provide the ability to perform one-time queries and analytical reporting. The query solution must be scalable.
Which solution will meet these requirements MOST cost-effectively?
A media company uses software as a service (SaaS) applications to gather data by using third-party tools. The company needs to store the data in an Amazon S3 bucket. The company will use Amazon Redshift to perform analytics based on the data.
Which AWS service or feature will meet these requirements with the LEAST operational overhead?
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