Free Amazon Data-Engineer-Associate Exam Questions

Question 1

A data engineer needs to build an enterprise data catalog based on the company's Amazon S3 buckets andAmazon RDS databases. The data catalog must include storage format metadata for the data in the catalog.Which solution will meet these requirements with the LEAST effort?

A : Use an AWS Glue crawler to scan the S3 buckets and RDS databases and build a data catalog. Use data stewards to inspect the data and update the data catalog with the data format.

B : Use an AWS Glue crawler to build a data catalog. Use AWS Glue crawler classifiers to recognize the format of data and store the format in the catalog.

C : Use Amazon Macie to build a data catalog and to identify sensitive data elements. Collect the data format information from Macie.

D : Use scripts to scan data elements and to assign data classifications based on the format of the data.

Answer: B

Question 2

A company specializing in geospatial data analysis needs to regularly import, store, and query large sets of geospatial data. Their current setup with a traditional SQL database struggles with the performance of complex spatial queries and efficient storage. Their Data Engineering Team is considering moving to a cloud-based solution that can optimize the storage and querying of geospatial data, particularly for location-based queries and spatial analysis.

Which AWS solution would best meet their needs?

A : Implement Amazon Aurora with MySQL compatibility, utilizing its spatial indexing feature for efficient geospatial data querying and Amazon ElastiCache to improve read performance.

B : Use Amazon DynamoDB with geospatial library for indexing geospatial data and querying, coupled with Amazon S3 for long-term storage.

C : Migrate to Amazon RDS with PostgreSQL and PostGIS extension for enhanced geospatial capabilities and improved query performance.

D : Leverage Amazon Redshift with geospatial data support to handle large-scale spatial queries and integrate with Amazon QuickSight for data visualization.

Answer: C

Question 3

A company wants to migrate an application and an on-premises Apache Kafka server to AWS. Theapplication processes incremental updates that an on-premises Oracle database sends to the Kafka server. Thecompany wants to use the replatform migration strategy instead of the refactor strategy.Which solution will meet these requirements with the LEAST management overhead?

A : Amazon Kinesis Data Streams

B : Amazon Managed Streaming for Apache Kafka (Amazon MSK) provisioned cluster

C : Amazon Data Firehose

D : Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless

Answer: D

Question 4

A company wants to migrate an application and an on-premises Apache Kafka server to AWS. Theapplication processes incremental updates that an on-premises Oracle database sends to the Kafka server. Thecompany wants to use the replatform migration strategy instead of the refactor strategy.Which solution will meet these requirements with the LEAST management overhead?

A : Amazon Kinesis Data Streams

B : Amazon Managed Streaming for Apache Kafka (Amazon MSK) provisioned cluster

C : Amazon Data Firehose

D : Amazon Managed Streaming for Apache Kafka (Amazon MSK) Serverless

Answer: D

Question 5

A company needs to load customer data that comes from a third party into an Amazon Redshift datawarehouse. The company stores order data and product data in the same data warehouse. The company wantsto use the combined dataset to identify potential new customers.A data engineer notices that one of the fields in the source data includes values that are in JSON format.How should the data engineer load the JSON data into the data warehouse with the LEAST effort?

A : Use the SUPER data type to store the data in the Amazon Redshift table.

B : Use AWS Glue to flatten the JSON data and ingest it into the Amazon Redshift table.

C : Use Amazon S3 to store the JSON data. Use Amazon Athena to query the data.

D : Use an AWS Lambda function to flatten the JSON data. Store the data in Amazon S3.

Answer: A