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Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions:

1. A data engineer uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to run data pipelines in an AWS account. A workflow recently failed to run. The data engineer needs to use Apache Airflow logs to diagnose the failure of the workflow. Which log type should the data engineer use to diagnose the cause of the failure?

A) YourEnvironmentName-Scheduler
B) YourEnvironmentName-DAGProcessing
C) YourEnvironmentName-WebServer
D) YourEnvironmentName-Task

2. A company ' s data engineer needs to optimize the performance of table SQL queries. The company stores data in an Amazon Redshift cluster. The data engineer cannot increase the size of the cluster because of budget constraints.
The company stores the data in multiple tables and loads the data by using the EVEN distribution style. Some tables are hundreds of gigabytes in size. Other tables are less than 10 MB in size.
Which solution will meet these requirements?

A) Keep using the EVEN distribution style for all tables. Specify primary and foreign keys for all tables.
B) Specify a combination of distribution, sort, and partition keys for all tables.
C) Use the ALL distribution style for large tables. Specify primary and foreign keys for all tables.
D) Use the ALL distribution style for rarely updated small tables. Specify primary and foreign keys for all tables.

3. A data engineer develops an AWS Glue Apache Spark ETL job to perform transformations on a dataset.
When the data engineer runs the job, the job returns an error that reads, "No space left on device." The data engineer needs to identify the source of the error and provide a solution.
Which combinations of steps will meet this requirement MOST cost-effectively? (Select TWO.)

A) Scale out the workers vertically to address data skewness.
B) Use the Spark UI and AWS Glue metrics to monitor data skew in the Spark executors.
C) Scale out the number of workers horizontally to address data skewness.
D) Enable the --write-shuffle-files-to-s3 job parameter. Use the salting technique.
E) Use error logs in Amazon CloudWatch to monitor data skew.

4. A retail company uses Amazon Aurora PostgreSQL to process and store live transactional data. The company uses an Amazon Redshift cluster for a data warehouse.
An extract, transform, and load (ETL) job runs every morning to update the Redshift cluster with new data from the PostgreSQL database. The company has grown rapidly and needs to cost optimize the Redshift cluster.
A data engineer needs to create a solution to archive historical data. The data engineer must be able to run analytics queries that effectively combine data from live transactional data in PostgreSQL, current data in Redshift, and archived historical data. The solution must keep only the most recent 15 months of data in Amazon Redshift to reduce costs.
Which combination of steps will meet these requirements? (Select TWO.)

A) Configure Amazon Redshift Spectrum to query live transactional data that is in the PostgreSQL database.
B) Configure the Amazon Redshift Federated Query feature to query live transactional data that is in the PostgreSQL database.
C) Schedule a monthly job to copy data that is older than 15 months to Amazon S3 by using the UNLOAD command. Delete the old data from the Redshift cluster. Configure Amazon Redshift Spectrum to access historical data in Amazon S3.
D) Create a materialized view in Amazon Redshift that combines live, current, and historical data from different sources.
E) Schedule a monthly job to copy data that is older than 15 months to Amazon S3 Glacier Flexible Retrieval by using the UNLOAD command. Delete the old data from the Redshift duster. Configure Redshift Spectrum to access historical data from S3 Glacier Flexible Retrieval.

5. 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) Choose the STANDARD execution class in the Glue job properties.
B) Choose the latest version in the GlueVersion field in the Glue job properties.
C) Use the Spot Instance type in Glue job properties.
D) Choose the FLEX execution class in the Glue job properties.

Solutions: