Amazon Web Services Data-Engineer-Associate Dumps
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AWS Certified Data Engineer - Associate (DEA-C01) Practice Questions
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Data-Engineer-Associate Amazon Web Services Exam 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.
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AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers
A data engineer needs to maintain a central metadata repository that users access through Amazon EMR and Amazon Athena queries. The repository needs to provide the schema and properties of many tables. Some of the metadata is stored in Apache Hive. The data engineer needs to import the metadata from Hive into the central metadata repository.
Which solution will meet these requirements with the LEAST development effort?
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 data engineer needs to use an Amazon QuickSight dashboard that is based on Amazon Athena queries on data that is stored in an Amazon S3 bucket. When the data engineer connects to the QuickSight dashboard, the data engineer receives an error message that indicates insufficient permissions.
Which factors could cause to the permissions-related errors? (Choose two.)
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