AWS Certified Data Engineer - Associate (DEA-C01) Exam Dumps with Solutions

A metropolitan transit authority operates a citywide bus and light-rail network with a multi-step operations workflow spanning 6 independent systems (dispatch, vehicle telematics, fare collection, maintenance, station control, and incident management), each backed by a JDBC-compliant relational database (MySQL and PostgreSQL mix) that captures the latest trip state; the authority must enable the control center to track every vehicle’s trip status across the entire workflow with hour-by-hour visibility (freshness ≤ 15 minutes, about 5,000 row updates per minute across all systems) and centralize the data in a different AWS Region for reporting while minimizing development effort— which solution meets these requirements with the least development overhead?

A streaming media company runs six production studios across five AWS Regions, each studio’s compliance team uses a distinct IAM role, and all raw subtitle files and QC logs are consolidated in a single Amazon S3 data lake with partitions by aws_region (for example, s3://media-lake/raw/aws_region=eu-central-1/), and the data engineering team must, with the least operational overhead and without creating new buckets or duplicating data, ensure that each studio can query only records from its own Region via services like Amazon Athena; which combination of steps should the team take? (Choose two.)

A media streaming startup lands ~3 TB of raw clickstream logs per day in Amazon S3 and loads curated aggregates into an Amazon Redshift RA3 cluster, and analysts also need to run low-latency ad hoc queries on the freshest S3 data via Amazon Redshift Spectrum using an external schema backed by the AWS Glue Data Catalog; given that most filters are on event_date (YYYY-MM-DD) and region and the team wants the fastest Spectrum query performance, which two actions should they take? (Choose two.)

A financial analyst in AWS account 111122223333 opens an Amazon QuickSight Enterprise dashboard in us-east-1 that refreshes two datasets via Amazon Athena querying data in an Amazon S3 bucket s3://city-traffic-logs-2025 (200 GB, date-partitioned) and writing query results to s3://athena-results-prod-002, both buckets owned by account 444455556666 with objects encrypted by a customer-managed AWS KMS key alias/traffic-cmk-01, and upon attempting a refresh the analyst receives an 'Insufficient permissions' error; which factors could cause these permissions-related errors? (Choose two.)

A media analytics company stores 900 TB of event logs in Amazon S3 and uses Amazon Athena to power a business reporting dashboard; an AWS Glue job compacts and writes new data once every 24 hours at 02:00 UTC; company policy requires the dashboard to refresh every 15 minutes to meet SLAs; the data engineering team wants to reduce Athena costs without adding any new infrastructure and with the least operational overhead. Which solution will meet these requirements?