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DEA-C01 — questions

Page 12 of 16 · 313 total questions.

DEA-C01 Question 221

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Topic 1 · Question 221

A company receives marketing campaign data from a vendor. The company ingests the data into an Amazon S3 bucket every 40 to 60 minutes. The data is in CSV format. File sizes are between 100 KB and 300 KB. A data engineer needs to set-up an extract, transform, and load (ETL) pipeline to upload the content of each file to Amazon Redshift. Which solution will meet these requirements with the LEAST operational overhead?

  • ACreate an AWS Lambda function that connects to Amazon Redshift and runs a COPY command. Use Amazon EventBridge to invoke the Lambda function based on an Amazon S3 upload trigger. (correct answer)
  • BCreate an Amazon Data Firehose stream. Configure the stream to use an AWS Lambda function as a source to pull data from the S3 bucket. Set Amazon Redshift as the destination.
  • CUse Amazon Redshift Spectrum to query the S3 bucket. Configure an AWS Glue Crawler for the S3 bucket to update metadata in an AWS Glue Data Catalog.
  • DCreates an AWS Database Migration Service (AWS DMS) task. Specify an appropriate data schema to migrate. Specify the appropriate type of migration to use.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create an AWS Lambda function that connects to Amazon Redshift and runs a COPY command. Use Amazon EventBridge to invoke the Lambda function based on an Amazon S3 upload trigger.

Explanation

AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. Amazon S3 provides durable, scalable object storage that is fully managed. Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries.

DEA-C01 Question 222

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Topic 1 · Question 222

A company wants to build a dimension table in an Amazon S3 bucket. The bucket contains historical data that includes 10 million records. The historical data is 1 TB in size. A data engineer needs a solution to update changes for up to 10,000 records in the base table every day. Which solution will meet this requirement with the LOWEST runtime?

  • ADevelop an Apache Spark job in Amazon EMR to read the historical data and the new changes into two Spark DataFrames. Use the Spark update method to update the base table.
  • BDevelop an AWS Glue Python job to read the historical data and new changes into two Pandas DataFrames. Use the Pandas update method to update the base table.
  • CDevelop an AWS Glue Apache Spark job to read the historical data and new changes into two Spark DataFrames. Use the Spark update method to update the base table.
  • DDevelop an Amazon EMR job to read new changes into Apache Spark DataFrames. Use the Apache Hudi framework to create the base table in Amazon S3. Use the Spark update method to update the base table. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Develop an Amazon EMR job to read new changes into Apache Spark DataFrames. Use the Apache Hudi framework to create the base table in Amazon S3. Use the Spark update method to update the base table.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon EMR runs big-data frameworks like Spark and Hadoop on managed clusters.

DEA-C01 Question 223

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Topic 1 · Question 223 · Select all that apply

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? (Choose two.)

  • AScale out the workers vertically to address data skewness.
  • BUse the Spark UI and AWS Glue metrics to monitor data skew in the Spark executors. (correct answer)
  • CScale out the number of workers horizontally to address data skewness.
  • DEnable the --write-shuffie-files-to-s3 job parameter. Use the salting technique. (correct answer)
  • EUse error logs in Amazon CloudWatch to monitor data skew.
Reveal answer & explanation
Correct answer: B, D

The correct answer is B, D. Option B: Use the Spark UI and AWS Glue metrics to monitor data skew in the Spark executors. Option D: Enable the --write-shuffie-files-to-s3 job parameter. Use the salting technique.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data. This option delivers the requirement at the lowest cost.

DEA-C01 Question 224

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Topic 1 · Question 224

A company has a data pipeline that uses an Amazon RDS instance, AWS Glue jobs, and an Amazon S3 bucket. The RDS instance and AWS Glue jobs run in a private subnet of a VPC and in the same security group. A user made a change to the security group that prevents the AWS Glue jobs from connecting to the RDS instance. After the change, the security group contains a single rule that allows inbound SSH traffic from a specific IP address. The company must resolve the connectivity issue. Which solution will meet this requirement?

  • AAdd an inbound rule that allows all TCP traffic on all TCP ports. Set the security group as the source. (correct answer)
  • BAdd an inbound rule that allows all TCP traffic on all UDP ports. Set the private IP address of the RDS instance as the source.
  • CAdd an inbound rule that allows all TCP traffic on all TCP ports. Set the DNS name of the RDS instance as the source.
  • DReplace the source of the existing SSH rule with the private IP address of the RDS instance. Create an outbound rule with the same source, destination, and protocol as the inbound SSH rule.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Add an inbound rule that allows all TCP traffic on all TCP ports. Set the security group as the source.

DEA-C01 Question 225

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Topic 1 · Question 225

A company builds a new data pipeline to process data for business intelligence reports. Users have noticed that data is missing from the reports. A data engineer needs to add a data quality check for columns that contain null values and for referential integrity at a stage before the data is added to storage. Which solution will meet these requirements with the LEAST operational overhead?

  • AUse Amazon SageMaker Data Wrangler to create a Data Quality and Insights report.
  • BUse AWS Glue ETL jobs to perform a data quality evaluation transform on the data. Use an IsComplete rule on the requested columns. Use a ReferentialItegrity rule for each join. (correct answer)
  • CUse AWS Glue ETL jobs to perform a SQL transform on the data to determine whether requested column contain null values. Use a second SQL transform to check referential integrity.
  • DUse Amazon SageMaker Data Wrangler and a custom Python transform to create custom rules to check for null values and referential integrity.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Use AWS Glue ETL jobs to perform a data quality evaluation transform on the data. Use an IsComplete rule on the requested columns. Use a ReferentialItegrity rule for each join.

Explanation

AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

DEA-C01 Question 226

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Topic 1 · Question 226

A company is setting up a data pipeline in AWS. The pipeline extracts client data from Amazon S3 buckets, performs quality checks, and transforms the data. The pipeline stores the processed data in a relational database. The company will use the processed data for future queries. Which solution will meet these requirements MOST cost-effectively?

  • AUse AWS Glue ETL to extract the data from the S3 buckets and perform the transformations. Use AWS Glue Data Quality to enforce suggested quality rules. Load the data and the quality check results into an Amazon RDS for MySQL instance. (correct answer)
  • BUse AWS Glue Studio to extract the data from the S3 buckets. Use AWS Glue DataBrew to perform the transformations and quality checks. Load the processed data into an Amazon RDS for MySQL instance. Load the quality check results into a new S3 bucket.
  • CUse AWS Glue ETL to extract the data from the S3 buckets and perform the transformations. Use AWS Glue DataBrew to perform quality checks. Load the processed data and the quality check results into a new S3 bucket.
  • DUse AWS Glue Studio to extract the data from the S3 buckets. Use AWS Glue DataBrew to perform the transformations and quality checks. Load the processed data and quality check results into an Amazon RDS for MySQL instance.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Use AWS Glue ETL to extract the data from the S3 buckets and perform the transformations. Use AWS Glue Data Quality to enforce suggested quality rules. Load the data and the quality check results into an Amazon RDS fo...

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon RDS is a managed relational database that handles patching, backups and failover. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data. This option delivers the requirement at the lowest cost.

DEA-C01 Question 227

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Topic 1 · Question 227

A company uses Amazon Redshift as a data warehouse solution. One of the datasets that the company stores in Amazon Redshift contains data for a vendor. Recently, the vendor asked the company to transfer the vendor’s data into the vendor’s Amazon S3 bucket once each week. Which solution will meet this requirement?

  • ACreate an AWS Lambda function to connect to the Redshift data warehouse. Configure the Lambda function to use the Redshift COPY command to copy the required data to the vendor’s S3 bucket on a schedule.
  • BCreate an AWS Glue job to connect to the Redshift data warehouse. Configure the AWS Glue job to use the Redshift UNLOAD command to load the required data to the vendor’s S3 bucket on a schedule. (correct answer)
  • CUse the Amazon Redshift data sharing feature. Set the vendor’s S3 bucket as the destination. Configure the source to be as a custom SQL query that selects the required data.
  • DConfigure Amazon Redshift Spectrum to use the vendor’s S3 bucket a destination, Enable data querying in both directions.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Create an AWS Glue job to connect to the Redshift data warehouse. Configure the AWS Glue job to use the Redshift UNLOAD command to load the required data to the vendor’s S3 bucket on a schedule.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

DEA-C01 Question 228

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Topic 1 · Question 228

A company uses an Amazon Redshift cluster as a data warehouse that is shared across two departments. To comply with a security policy, each department must have unique access permissions. Department A must have access to tables and views for Department A. Department B must have access to tables and views for Department B. The company often runs SQL queries that use objects from both departments in one query. Which solution will meet these requirements with the LEAST operational overhead?

  • AGroup tables and views for each department into dedicated schemas. Manage permissions at the schema level. (correct answer)
  • BGroup tables and views for each department into dedicated databases. Manage permissions at the database level.
  • CUpdate the names of the tables and views to follow a naming convention that contains the department names. Manage permissions based on the new naming convention.
  • DCreate an IAM user group for each department. Use identity-based IAM policies to grant table and view permissions based on the IAM user group.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Group tables and views for each department into dedicated schemas. Manage permissions at the schema level.

DEA-C01 Question 229

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Topic 1 · Question 229

A company wants to ingest streaming data into an Amazon Redshift data warehouse from an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster. A data engineer needs to develop a solution that provides low data access time and that optimizes storage costs. Which solution will meet these requirements with the LEAST operational overhead?

  • ACreate an external schema that maps to the MSK cluster. Create a materialized view that references the external schema to consume the streaming data from the MSK topic. (correct answer)
  • BDevelop an AWS Glue streaming extract, transform, and load (ETL) job to process the incoming data from Amazon MSK. Load the data into Amazon S3. Use Amazon Redshift Spectrum to read the data from Amazon S3.
  • CCreate an external schema that maps to the streaming data source. Create a new Amazon Redshift table that references the external schema.
  • DCreate an Amazon S3 bucket. Ingest the data from Amazon MSK. Create an event-driven AWS Lambda function to load the data from the S3 bucket to a new Amazon Redshift table.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create an external schema that maps to the MSK cluster. Create a materialized view that references the external schema to consume the streaming data from the MSK topic.

Explanation

Amazon MSK provides fully managed Apache Kafka for streaming.

DEA-C01 Question 230

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Topic 1 · Question 230

A sales company uses AWS Glue ETL to collect, process, and ingest data into an Amazon S3 bucket. The AWS Glue pipeline creates a new file in the S3 bucket every hour. File sizes vary from 200 KB to 300 KB. The company wants to build a sales prediction model by using data from the previous 5 years. The historic data includes 44,000 files. The company builds a second AWS Glue ETL pipeline by using the smallest worker type. The second pipeline retrieves the historic files from the S3 bucket and processes the files for downstream analysis. The company notices significant performance issues with the second ETL pipeline. The company needs to improve the performance of the second pipeline. Which solution will meet this requirement MOST cost-effectively?

  • AUse a larger worker type.
  • BIncrease the number of workers in the AWS Glue ETL jobs.
  • CUse the AWS Glue DynamicFrame grouping option. (correct answer)
  • DEnable AWS Glue auto scaling.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Use the AWS Glue DynamicFrame grouping option.

Explanation

AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data. This option delivers the requirement at the lowest cost.

DEA-C01 Question 231

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Topic 1 · Question 231

A company wants to combine data from multiple software as a service (SaaS) applications for analysis. A data engineering team needs to use Amazon QuickSight to perform the analysis and build dashboards. A data engineer needs to extract the data from the SaaS applications and make the data available for QuickSight queries. Which solution will meet these requirements in the MOST operationally efficient way?

  • ACreate AWS Lambda functions that call the required APIs to extract the data from the applications. Store the data in an Amazon S3 bucket. Use AWS Glue to catalog the data in the S3 bucket. Create a data source and a dataset in QuickSight.
  • BUse AWS Lambda functions as Amazon Athena data source connectors to run federated queries against the SaaS applications. Create an Athena data source and a dataset in QuickSight.
  • CUse Amazon AppFlow to create a flow for each SaaS application. Set an Amazon S3 bucket as the destination. Schedule the flows to extract the data to the bucket. Use AWS Glue to catalog the data in the S3 bucket. Create a data source and a dataset in QuickSight. (correct answer)
  • DExport data the from the SaaS applications as Microsoft Excel files. Create a data source and a dataset in QuickSight by uploading the Excel files.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Use Amazon AppFlow to create a flow for each SaaS application. Set an Amazon S3 bucket as the destination. Schedule the flows to extract the data to the bucket. Use AWS Glue to catalog the data in the S3 bucket. Creat...

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon AppFlow securely transfers data between SaaS apps and AWS without code. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

DEA-C01 Question 232

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Topic 1 · Question 232

A company runs multiple applications on AWS. The company configured each application to output logs. The company wants to query and visualize the application logs in near real time. Which solution will meet these requirements?

  • AConfigure the applications to output logs to Amazon CloudWatch Logs log groups. Create an Amazon S3 bucket. Create an AWS Lambda function that runs on a schedule to export the required log groups to the S3 bucket. Use Amazon Athena to query the log data in the S3 bucket.
  • BCreate an Amazon OpenSearch Service domain. Configure the applications to output logs to Amazon CloudWatch Logs log groups. Create an OpenSearch Service subscription filter for each log group to stream the data to OpenSearch. Create the required queries and dashboards in OpenSearch Service to analyze and visualize the data. (correct answer)
  • CConfigure the applications to output logs to Amazon CloudWatch Logs log groups. Use CloudWatch log anomaly detection to query and visualize the log data.
  • DUpdate the application code to send the log data to Amazon QuickSight by using Super-fast, Parallel, In-memory Calculation Engine (SPICE). Create the required analyses and dashboards in QuickSight.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Create an Amazon OpenSearch Service domain. Configure the applications to output logs to Amazon CloudWatch Logs log groups. Create an OpenSearch Service subscription filter for each log group to stream the data to Ope...

Explanation

Amazon RDS is a managed relational database that handles patching, backups and failover. Amazon OpenSearch Service provides managed search and log analytics. Amazon CloudWatch collects metrics, logs and alarms to monitor and react to operational health. This option meets the real-time / low-latency performance requirement.

DEA-C01 Question 233

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Topic 1 · Question 233

An ecommerce company processes millions of orders each day. The company uses AWS Glue ETL to collect data from multiple sources, clean the data, and store the data in an Amazon S3 bucket in CSV format by using the S3 Standard storage class. The company uses the stored data to conduct daily analysis. The company wants to optimize costs for data storage and retrieval. Which solution will meet this requirement?

  • ATransition the data to Amazon S3 Glacier Flexible Retrieval.
  • BTransition the data from Amazon S3 to an Amazon Aurora cluster.
  • CConfigure AWS Glue ETL to transform the incoming data to Apache Parquet format. (correct answer)
  • DConfigure AWS Glue ETL to use Amazon EMR to process incoming data in parallel.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Configure AWS Glue ETL to transform the incoming data to Apache Parquet format.

Explanation

AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data. AWS Config tracks resource configuration changes and evaluates compliance.

DEA-C01 Question 234

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Topic 1 · Question 234

A data engineer is optimizing query performance in Amazon Athena notebooks that use Apache Spark to analyze large datasets that are stored in Amazon S3. The data is partitioned. An AWS Glue crawler updates the partitions. The data engineer wants to minimize the amount of data that is scanned to improve efficiency of Athena queries. Which solution will meet these requirements?

  • AApply partition filters in the queries. (correct answer)
  • BIncrease the frequency of AWS Glue crawler invocations to update the data catalog more often.
  • COrganize the data that is in Amazon S3 by using a nested directory structure.
  • DConfigure Spark to use in-memory caching for frequently accessed data.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Apply partition filters in the queries.

DEA-C01 Question 235

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Topic 1 · Question 235

A company manages an Amazon Redshift data warehouse. The data warehouse is in a public subnet inside a custom VPC. A security group allows only traffic from within itself. An ACL is open to all traffic. The company wants to generate several visualizations in Amazon QuickSight for an upcoming sales event. The company will run QuickSight Enterprise edition in a second AWS account inside a public subnet within a second custom VPC. The new public subnet has a security group that allows outbound traffic to the existing Redshift cluster. A data engineer needs to establish connections between Amazon Redshift and QuickSight. QuickSight must refresh dashboards by querying the Redshift cluster. Which solution will meet these requirements?

  • AConfigure the Redshift security group to allow inbound traffic on the Redshift port from the QuickSight security group. (correct answer)
  • BAssign Elastic IP addresses to the QuickSight visualizations. Configure the QuickSight security group to allow inbound traffic on the Redshift port from the Elastic IP addresses.
  • CConfirm that the CIDR ranges of the Redshift VPC and the QuickSight VPC are the same. If CIDR ranges are different, reconfigure one CIDR range to match the other. Establish network peering between the VPCs.
  • DCreate a QuickSight gateway endpoint in the Redshift VPC. Attach an endpoint policy to the gateway endpoint to ensure only specific QuickSight accounts can use the endpoint.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Configure the Redshift security group to allow inbound traffic on the Redshift port from the QuickSight security group.

Explanation

Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries. Amazon QuickSight is a serverless business-intelligence and dashboard service. AWS Config tracks resource configuration changes and evaluates compliance.

DEA-C01 Question 236

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Topic 1 · Question 236

A data engineer is building a data pipeline. A large data file is uploaded to an Amazon S3 bucket once each day at unpredictable times. An AWS Glue workflow uses hundreds of workers to process the file and load the data into Amazon Redshift. The company wants to process the file as quickly as possible. Which solution will meet these requirements?

  • ACreate an on-demand AWS Glue trigger to start the workflow. Create an AWS Lambda function that runs every 15 minutes to check the S3 bucket for the daily file. Configure the function to start the AWS Glue workflow if the file is present.
  • BCreate an event-based AWS Glue trigger to start the workflow. Configure Amazon S3 to log events to AWS CloudTrail. Create a rule in Amazon EventBridge to forward PutObject events to the AWS Glue trigger. (correct answer)
  • CCreate a scheduled AWS Glue trigger to start the workflow. Create a cron job that runs the AWS Glue job every 15 minutes. Set up the AWS Glue job to check the S3 bucket for the daily file. Configure the job to stop if the file is not present.
  • DCreate an on-demand AWS Glue trigger to start the workflow. Create an AWS Database Migration Service (AWS DMS) migration task. Set the DMS source as the S3 bucket. Set the target endpoint as the AWS Glue workflow.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Create an event-based AWS Glue trigger to start the workflow. Configure Amazon S3 to log events to AWS CloudTrail. Create a rule in Amazon EventBridge to forward PutObject events to the AWS Glue trigger.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon EventBridge routes events between services with rules, enabling event-driven, decoupled architectures. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

DEA-C01 Question 237

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Topic 1 · Question 237

A data engineer needs to run a data transformation job whenever a user adds a file to an Amazon S3 bucket. The job will run for less than 1 minute. The job must send the output through an email message to the data engineer. The data engineer expects users to add one file every hour of the day. Which solution will meet these requirements in the MOST operationally efficient way?

  • ACreate a small Amazon EC2 instance that polls the S3 bucket for new files. Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.
  • BRun an Amazon Elastic Container Service (Amazon ECS) task to poll the S3 bucket for new files. Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.
  • CCreate an AWS Lambda function to transform the data. Use Amazon S3 Event Notifications to invoke the Lambda function when a new object is created. Publish the output to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the data engineer’s email account to the topic. (correct answer)
  • DDeploy an Amazon EMR cluster. Use EMR File System (EMRFS) to access the files in the S3 bucket. Run transformation code on a schedule to generate the output to a second S3 bucket. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon S3 Event Notifications to notify the topic when a new object is created.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Create an AWS Lambda function to transform the data. Use Amazon S3 Event Notifications to invoke the Lambda function when a new object is created. Publish the output to an Amazon Simple Notification Service (Amazon SN...

Explanation

AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. Amazon S3 provides durable, scalable object storage that is fully managed. Amazon SNS is a managed pub/sub service for fan-out notifications to many subscribers.

DEA-C01 Question 238

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Topic 1 · Question 238

A company uses Amazon S3 and AWS Glue Data Catalog to manage a data lake that contains contact information for customers. The company uses PySpark and AWS Glue jobs with a DynamicFrame to run a workflow that processes data within the data lake. A data engineer notices that the workflow is generating errors as a result of how customer postal codes are stored in the data lake. Some postal codes include unnecessary numbers or invalid characters. The data engineer needs a solution to address the errors and correct the postal codes in the data lake.

  • ACreate a schema definition for PySpark that matches the format the processing workflow requires for postal codes. Pass the schema to the DynamicFrame during processing. (correct answer)
  • BUse AWS Glue workflow properties to allow job state sharing. Configure the AWS Glue jobs to read values from the postal code column by using the properties from a previously successful run of the jobs.
  • CConfigure the column.push_down_predicate setting and the catalogPartitionPredicate settings for the postal code column in the DynamicFrame.
  • DSet the DynamicFrame additional_options parameter ‘useS3ListImplementation’ to True.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create a schema definition for PySpark that matches the format the processing workflow requires for postal codes. Pass the schema to the DynamicFrame during processing.

DEA-C01 Question 239

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Topic 1 · Question 239

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?

  • ACreate 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.
  • BCreate 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. (correct answer)
  • CCreate 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.
  • DCreate 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 FAILESet the SQS queue as the target.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: 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 FAI...

Explanation

Amazon SNS is a managed pub/sub service for fan-out notifications to many subscribers. Amazon EventBridge routes events between services with rules, enabling event-driven, decoupled architectures. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

DEA-C01 Question 240

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Topic 1 · Question 240

A company uses AWS Glue jobs to implement several data pipelines. The pipelines are critical to the company. The company needs to implement a monitoring mechanism that will alert stakeholders if the pipelines fail. Which solution will meet these requirements with the LEAST operational overhead?

  • ACreate an Amazon EventBridge rule to match AWS Glue job failure events. Configure the rule to target an AWS Lambda function to process events. Configure the function to send notifications to an Amazon Simple Notification Service (Amazon SNS) topic.
  • BConfigure an Amazon CloudWatch Logs log group for the AWS Glue jobs. Create an Amazon EventBridge rule to match new log creation events in the log group. Configure the rule to target an AWS Lambda function that reads the logs and sends notifications to an Amazon Simple Notification Service (Amazon SNS) topic if AWS Glue job failure logs are present.
  • CCreate an Amazon EventBridge rule to match AWS Glue job failure events. Define an Amazon CloudWatch metric based on the EventBridge rule. Set up a CloudWatch alarm based on the metric to send notifications to an Amazon Simple Notification Service (Amazon SNS) topic. (correct answer)
  • DConfigure an Amazon CloudWatch Logs log group for the AWS Glue jobs. Create an Amazon EventBridge rule to match new log creation events in the log group. Configure the rule to send notifications to an Amazon Simple Notification Service (Amazon SNS) topic.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Create an Amazon EventBridge rule to match AWS Glue job failure events. Define an Amazon CloudWatch metric based on the EventBridge rule. Set up a CloudWatch alarm based on the metric to send notifications to an Amazo...

Explanation

Amazon SNS is a managed pub/sub service for fan-out notifications to many subscribers. Amazon EventBridge routes events between services with rules, enabling event-driven, decoupled architectures. AWS Glue is a serverless ETL and data-catalog service that prepares and integrates data.

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