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

1. A data engineer needs to use an Amazon QuickSight dashboard that is based on Amazon Athena queries on data that is stored in an Amazon S3 bucket. When the data engineer connects to the QuickSight dashboard, the data engineer receives an error message that indicates insufficient permissions.
Which factors could cause to the permissions-related errors? (Choose two.)

A) The Athena tables are not cataloged.
B) There is no connection between QuickSgqht and Athena.
C) QuickSight does not have access to decrypt S3 data.
D) QuickSiqht does not have access to the S3 bucket.
E) There is no 1AM role assigned to QuickSiqht.

2. A data engineer is troubleshooting an AWS Glue workflow that occasionally fails. The engineer determines that the failures are a result of data quality issues. A business reporting team needs to receive an email notification any time the workflow fails in the future.
Which solution will meet this requirement?

A) Create an Amazon Simple Notification Service (Amazon SNS) standard topic. Subscribe the team ' s email account to the SNS topic. Create an Amazon EventBridge rule that triggers when the AWS Glue Job state changes to FAILED. Set the SNS topic as the target.
B) Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Subscribe the team ' s email account to the SQS queue. Create an AWS Config rule that triggers when the AWS Glue job state changes to FAILED. Set the SQS queue as the target.
C) Create an Amazon Simple Notification Service (Amazon SNS) FIFO topic. Subscribe the team ' s email account to the SNS topic. Create an AWS Lambda function that initiates when the AWS Glue job state changes to FAILED. Set the SNS topic as the target.
D) Create an Amazon Simple Queue Service (Amazon SQS) standard queue. Subscribe the team ' s email account to the SQS queue. Create an Amazon EventBridge rule that triggers when the AWS Glue job state changes to FAILED. Set the SQS queue as the target.

3. A company uses AWS Glue Data Catalog to index data that is uploaded to an Amazon S3 bucket every day.
The company uses a daily batch processes in an extract, transform, and load (ETL) pipeline to upload data from external sources into the S3 bucket.
The company runs a daily report on the S3 data. Some days, the company runs the report before all the daily data has been uploaded to the S3 bucket. A data engineer must be able to send a message that identifies any incomplete data to an existing Amazon Simple Notification Service (Amazon SNS) topic.
Which solution will meet this requirement with the LEAST operational overhead?

A) Create data quality checks for the source datasets that the daily reports use. Create a new AWS managed Apache Airflow cluster. Run the data quality checks by using Airflow tasks that run data quality queries on the columns data type and the presence of null values. Configure Airflow Directed Acyclic Graphs (DAGs) to send an email notification that informs the data engineer about the incomplete datasets to the SNS topic.
B) Create data quality checks on the source datasets that the daily reports use. Create a new Amazon EMR cluster. Use Apache Spark SQL to create Apache Spark jobs in the EMR cluster that run data quality queries on the columns data type and the presence of null values. Orchestrate the ETL pipeline by using an AWS Step Functions workflow. Configure the workflow to send an email notification that informs the data engineer about the incomplete datasets to the SNS topic.
C) Create AWS Lambda functions that run data quality queries on the columns data type and the presence of null values. Orchestrate the ETL pipeline by using an AWS Step Functions workflow that runs the Lambda functions. Configure the Step Functions workflow to send an email notification that informs the data engineer about the incomplete datasets to the SNS topic.
D) Create data quality checks on the source datasets that the daily reports use. Create data quality actions by using AWS Glue workflows to confirm the completeness and consistency of the datasets. Configure the data quality actions to create an event in Amazon EventBridge if a dataset is incomplete. Configure EventBridge to send the event that informs the data engineer about the incomplete datasets to the Amazon SNS topic.

4. A media company wants to improve a system that recommends media content to customer 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.
Which solution will meet these requirements with the LEAST operational overhead?

A) Use API calls to access and integrate third-party datasets from AWS
B) Use Amazon Kinesis Data Streams to access and integrate third-party datasets from Amazon Elastic Container Registry (Amazon ECR).
C) Use Amazon Kinesis Data Streams to access and integrate third-party datasets from AWS CodeCommit repositories.
D) Use API calls to access and integrate third-party datasets from AWS Data Exchange.

5. A company needs to automate data workflows from multiple data sources to run both on schedules and in response to events from Amazon EventBridge. The data sources are Amazon RDS and Amazon S3. The company needs a single data pipeline that can be invoked both by scheduled events and near real-time EventBridge events.
Which solution will meet these requirements with the LEAST operational overhead?

A) Create an Amazon Managed Workflow for Apache Airflow (Amazon MWAA) workflow that uses a directed acyclic graph (DAG). Use EventBridge to integrate the events and schedules.
B) Create an AWS Step Functions state machine. Integrate the state machine with AWS Glue ETL jobs and EventBridge to orchestrate the pipeline based on events and schedules.
C) Create Amazon EMR Serverless jobs that are invoked by AWS Lambda functions. Use EventBridge events and schedules to orchestrate the EMR jobs.
D) Create an AWS Glue workflow. Use EventBridge to integrate the events and schedules.

Solutions: