AWS_Certified_Data_Engineer_DEA_C01_Answers_with_Explanations_v2.pdf

AWS Certified Data Engineer - Associate DEA-C01 Exam Answers with Explanations Question: A data engineer is configuring an AWS Glue job to read data from an Amazon S3 bucket. The data engineer has set up the necessary AWS Glue connection details and an associated IAM role. However, when the data...

AWS Certified Data Engineer - Associate DEA-C01 Exam Answers with Explanations Question: A data engineer is configuring an AWS Glue job to read data from an Amazon S3 bucket. The data engineer has set up the necessary AWS Glue connection details and an associated IAM role. However, when the data engineer attempts to run the AWS Glue job, they receive an error message indicating that there are problems with the Amazon S3 VPC gateway endpoint. The data engineer must resolve the error and connect the AWS Glue job to the S3 bucket. Correct Answer: D. Verify that the VPC's route table includes inbound and outbound routes for the Amazon S3 VPC gateway endpoint. Reasoning: The error message indicates issues with the Amazon S3 VPC gateway endpoint, likely pointing to an issue with the VPC's route table. Ensuring correct routing will enable AWS Glue to connect to S3 without external connectivity. Question: A retail company has a customer data hub in an Amazon S3 bucket. Employees from many countries use the data hub to support company-wide analytics. A governance team must ensure that the company's data analysts can access data only for customers who are within the same country as the analysts. Correct Answer: B. Register the S3 bucket as a data lake location in AWS Lake Formation. Use the Lake Formation row-level security features to enforce the company's access policies. Reasoning: AWS Lake Formation is the best solution for managing access control with its row-level security feature, which enforces fine-grained access controls without creating separate data sets for different countries. Question: A media company wants to improve a system that recommends media content to customers based on user behavior and preferences. To improve the recommendation system, the company needs to incorporate insights from third-party datasets into the company's existing analytics platform. The company wants to minimize the effort and time required to incorporate third-party datasets. Correct Answer: A. Use API calls to access and integrate third-party datasets from AWS Data Exchange. Reasoning: AWS Data Exchange simplifies integrating third-party datasets into existing analytics platforms, providing quick and easy access without extensive setup or maintenance. Question: A financial company wants to implement a data mesh. The data mesh must support centralized data governance, data analysis, and data access control. The company has decided to use AWS Glue for data catalogs and extract, transform, and load (ETL) operations. Correct Answer: B. Use Amazon S3 for data storage. Use Amazon Athena for data analysis. E. Use AWS Lake Formation for centralized data governance and access control. Reasoning: Amazon S3 and Athena provide scalable storage and analytics. AWS Lake Formation offers centralized governance, ensuring proper access control, making this combination ideal for a data mesh. Question: A data engineer maintains custom Python scripts that perform a data formatting process that many AWS Lambda functions use. When the data engineer needs to modify the Python scripts, the data engineer must manually update all the Lambda functions. The data engineer requires a less manual way to update the Lambda functions. Correct Answer: B. Package the custom Python scripts into Lambda layers. Apply the Lambda layers to the Lambda functions. Reasoning: Lambda layers allow shared code across multiple Lambda functions, which reduces manual updates and simplifies managing changes to the scripts.