Amazon AWS Certified Data Engineer - Associate DEA-C01 Exam Practice Questions (P. 3)

GPT-4o - Answer

Switching from CSV to Apache Parquet and applying Snappy compression notably improves Athena query speeds, particularly for column-based queries due to Parquet's columnar storage feature. This setup enables efficient column pruning and predicate pushdown optimizations, making it a highly suitable solution for enhancing performance in scenarios where specific columns are predominantly accessed.

GPT-4o - Answer

Option D is indeed the correct choice for achieving low latency in real-time dashboard updates. AWS Glue bookmarks, despite common misconceptions, can effectively track data processing positions in near real-time scenarios when configured correctly. This feature, combined with the use of Amazon Timestream for time-series data management and Grafana for visualization, enables rapid operational insights directly from sensor data stored in S3, crucial for decision-making in manufacturing environments. Such setups minimize delays between data generation, processing, and visualization, essential for real-time monitoring.

GPT-4o - Answer

Option B leverages the AWSGlueServiceRole policy, which is designed specifically for AWS Glue operations, providing the necessary permissions without excessive privileges. Associating this role with the crawler and scheduling it to run daily ensures consistent data accessibility in the AWS Glue Data Catalog. Importantly, specifying a database name for the output organizes the S3 source data into a structured format in the Data Catalog, facilitating easier data management and query operations. This setup is both efficient and secure, closely aligning with AWS best practices for Glue crawlers.

GPT-4o - Answer

The correct means to efficiently handle the invocation of a Lambda function for updating load statuses in DynamoDB, especially in the context of Amazon Redshift transactions, is to utilize the capabilities of Amazon EventBridge, triggered by events published via the Redshift Data API. This method provides a seamless and scalable approach, avoiding the complexity and potential overhead of managing additional Lambda functions or other intermediary services. By leveraging an EventBridge rule, you ensure immediate response to data load actions, thereby enhancing real-time tracking and operational efficiency. This reflects a more applicable integration within AWS service ecosystem for such tasks.

GPT-4o - Answer

AWS Direct Connect is the optimal choice for the mentioned requirements due to its ability to establish a dedicated network connection from on-premises to AWS, which is crucial for transferring large datasets like 5 TB. This method ensures high transfer speeds and reduced network costs, which is more operationally efficient for such large and continuous data transfers compared to internet-based transfers. Furthermore, Direct Connect supports robust, secure connections, which is vital for maintaining data integrity during frequent transfers of significant data amounts.