πŸ”

DEA-C01 β€” questions

Page 15 of 16 Β· 313 total questions.

DEA-C01 Question 281

Single page β†’
Topic 1 Β· Question 281

A data engineer needs a fully automated solution to check for new data in multiple databases and process data that the solution finds. The solution must run every hour. The solution must be compatible with Amazon RDS, Amazon DynamoDB, and Amazon OpenSearch Service. The solution must be able to process up to 10 MB of data at one time. The solution must be optimized for costs and operational overhead. The solution must have robust error handling capabilities. Which solution will meet these requirements?

  • AUse Amazon EventBridge to invoke AWS Step Functions every hour to deploy an AWS Lambda function to check for data. Configure Step Functions steps to process data that the Lambda function finds. Implement error handling in each state.
  • BUse Amazon EventBridge to invoke an AWS Lambda function every hour to check for data. Configure the function to send a message to an Amazon Simple Queue Service (Amazon SQS) queue when the function finds new data. Use a second Lambda function to read the queue and perform the processing. (correct answer)
  • CConfigure an Apache Spark application to run on Amazon EMR to check for data. Implement error handling in the application. Use Amazon EventBridge to invoke the application every hour.
  • DUse Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to create a workflow that runs a directed acyclic graph (DAG) every hour to check for data. Configure the DAG to process identified data. Implement error handling in a Python operator.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Use Amazon EventBridge to invoke an AWS Lambda function every hour to check for data. Configure the function to send a message to an Amazon Simple Queue Service (Amazon SQS) queue when the function finds new data. Use...

Explanation

AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. Amazon SQS is a fully managed message queue that decouples components and absorbs traffic spikes. Amazon EventBridge routes events between services with rules, enabling event-driven, decoupled architectures.

DEA-C01 Question 282

Single page β†’
Topic 1 Β· Question 282

A company uses an Amazon Redshift cluster to manage data, including vendor sales data. The company wants to store a copy of the vendor data in an Amazon S3 bucket. A data engineer sets up an AWS Glue job to upload the data to the S3 bucket data on a schedule. The data engineer set up a network connection to allow private traffic between Amazon Redshift and Amazon S3. What is the next step required to meet this requirement?

  • ACreate an IAM role that has permission to write to the S3 bucket. Associate the IAM role with the Amazon Redshift cluster. (correct answer)
  • BAdd the S3 bucket to an AWS Glue Data Catalog. Configure Amazon Redshift Spectrum to access the Data Catalog.
  • CEnable the Amazon Redshift data sharing feature. Set the S3 bucket as a target bucket for data sharing.
  • DStore login credentials for Amazon Redshift in AWS Secrets Manager. Add a reference to the secret to the Glue job configuration.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create an IAM role that has permission to write to the S3 bucket. Associate the IAM role with the Amazon Redshift cluster.

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. An IAM role grants temporary, least-privilege permissions to AWS resources without long-term credentials.

DEA-C01 Question 283

Single page β†’
Topic 1 Β· Question 283

A company stores a 100 MB dataset in an Amazon S3 bucket as an Apache Parquet file. A data engineer needs to profile the data before performing data preparation steps on the data. Which solution will meet this requirement in the MOST operationally efficient way?

  • ACreate a profile job on the dataset in AWS Glue DataBrew. Review the profile job results. (correct answer)
  • BStream the data into Amazon Managed Service for Apache Flink for SQL queries. Use the Apache Flink dashboard to profile the data.
  • CIngest the data into Amazon Redshift Spectrum. Use SQL queries to profile the data.
  • DLoad the data into an Amazon QuickSight dataset. Build a topic to profile the data with questions.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create a profile job on the dataset in AWS Glue DataBrew. Review the profile job results.

Explanation

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

DEA-C01 Question 284

Single page β†’
Topic 1 Β· Question 284

A company needs to implement real-time analytics for a retail shopping platform. The company wants to capture clickstream data, process the data, and load the data into Amazon Redshift for analysis. The solution must handle hundreds of megabytes of data every second. Which solution will meet these requirements with the LEAST query latency for analytics?

  • AUse Amazon Data Firehose to capture the data. Store the data in an Amazon S3 bucket. Use the COPY command to load data into Amazon Redshift.
  • BUse Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture the data. Use Amazon EMR to process the data. Use federated queries to access data in Amazon Redshift.
  • CUse Amazon Kinesis Data Streams to capture the data. Use Amazon Redshift streaming ingestion to load data directly into materialized views. (correct answer)
  • DUse Amazon DynamoDB Streams to capture the data. Use AWS Glue to process the data. Use a zero-ETL integration to load the data into Amazon Redshift.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Use Amazon Kinesis Data Streams to capture the data. Use Amazon Redshift streaming ingestion to load data directly into materialized views.

Explanation

Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries. Kinesis Data Streams ingests and processes high-volume real-time streaming data. Amazon Kinesis ingests and processes real-time streaming data at scale. This option meets the real-time / low-latency performance requirement.

DEA-C01 Question 285

Single page β†’
Topic 1 Β· Question 285

A company has a data pipeline that processes transaction data in real time. The company needs a notification system that alerts different teams based on the type of processing error without any delay. For security-related errors, the system must immediately notify the security team. For data validation errors, the system must notify the data quality team. For system errors, the system must notify the operations team. Which solution will meet these requirements with the LEAST operational overhead?

  • ACreate an Amazon Simple Notification Service (Amazon SNS) topic with an AWS Lambda function subscriber that evaluates the error type and forwards the error to the appropriate email addresses.
  • BConfigure Amazon EventBridge rules with distinct event patterns for each error type. Route each error type to a dedicated Amazon Simple Notification Service (Amazon SNS) topic for team-specific alerts. (correct answer)
  • CUse Amazon Simple Queue Service (Amazon SQS) with message attributes to categorize errors. Allow each team to poll their respective SQS queue for relevant errors.
  • DSet up Amazon CloudWatch alarms with different metrics for each error type. Invoke a different Amazon Simple Notification Service (Amazon SNS) notification each time a metrics threshold is crossed.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Configure Amazon EventBridge rules with distinct event patterns for each error type. Route each error type to a dedicated Amazon Simple Notification Service (Amazon SNS) topic for team-specific alerts.

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 Config tracks resource configuration changes and evaluates compliance.

DEA-C01 Question 286

Single page β†’
Topic 1 Β· Question 286

A global ecommerce company processes customer transactions, inventory updates, and user activity logs across multiple AWS services. The company needs a scalable, fully managed, and event-driven orchestration solution to coordinate complex extract, transform, and load (ETL) workflows. The solution must use AWS Glue and Amazon EMR to process data. The data will be stored in Amazon Redshift and Amazon S3. The solution must support dependency management, automated retries, and data pipeline monitoring. Which solution will meet these requirements?

  • AUse AWS Step Functions to define an express workflow that invokes the data transformation and loading tasks across Amazon EMR and AWS Glue.
  • BCreate AWS Lambda functions for each step of the workflow Configure Amazon EventBridge to invoke AWS Glue jobs. Configure the Lambda functions to process and move data through the pipeline.
  • CUse Apache Airflow on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to create Directed Acyclic Graphs (DAGs) to manage ETL workflows. (correct answer)
  • DCreate an AWS Lambda function that runs each step of the workflow. Create an Amazon EventBridge scheduled rule to invoke the function every day.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Use Apache Airflow on Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to create Directed Acyclic Graphs (DAGs) to manage ETL workflows.

DEA-C01 Question 287

Single page β†’
Topic 1 Β· Question 287

A global company currently uses Amazon Redshift to store data and Amazon Quick Suite (previously known as Amazon QuickSight) to generate reports. A team of business analysts have varying levels of technical expertise. Some analysts lack SQL knowledge. All the analysts need to create new reports frequently. The company wants to use natural program language queries to create dashboards and reports more efficiently. Which solution will meet these requirements with the LEAST operational effort?

  • AUse Quick Suite dashboards that have zero-ETL access to Amazon Redshift.
  • BEnable Amazon Q in Quick Suite. Generate Quick Suite dashboards and reports. (correct answer)
  • CIntegrate Tableau with Amazon Redshift to give Tableau direct access to the data.
  • DUse Quick Suite dashboards that have federated query access to Amazon Redshift.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Enable Amazon Q in Quick Suite. Generate Quick Suite dashboards and reports.

Explanation

Amazon RDS is a managed relational database that handles patching, backups and failover.

DEA-C01 Question 288

Single page β†’
Topic 1 Β· Question 288

A company is setting up a new Amazon SageMaker Unified Studio domain. Each of the company's business units needs isolated control over its own assets, projects, and metadata. Specific datasets must be shareable with other business units upon approval. The company also requires centralized user authentication and identity mapping. Which solution will meet these requirements?

  • AConfigure each business unit as a domain unit with delegated ownership and fine-grained permissions policies. Give users the ability to share assets across domain units with explicit access control. Assign API keys to users for authentication to access the domain portal.
  • BConfigure business units as separate domain units with owner permissions. Restrict projects exclusively to owners to prevent data sharing between domains. Configure AWS IAM Identity Center for centralized authentication. Map user profiles to their respective domain units.
  • CConfigure business units to be represented as separate domains. Establish isolated environments with no shared administrative policies. Configure AWS IAM Identity Center for centralized authentication. Delegate administration at the domain level.
  • DConfigure each business unit as a separate domain unit to manage permissions on assets, projects, and metadata. Configure AWS IAM Identity Center for centralized authentication. Map user profiles to their respective domain units. Enable cross-business unit sharing through access requests. Instruct domain unit owners to approve or deny the requests. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Configure each business unit as a separate domain unit to manage permissions on assets, projects, and metadata. Configure AWS IAM Identity Center for centralized authentication. Map user profiles to their respective d...

Explanation

AWS IAM controls authenticated and authorized access to AWS resources with fine-grained policies. AWS IAM Identity Center (SSO) centrally manages workforce access to multiple accounts and apps. AWS Config tracks resource configuration changes and evaluates compliance.

DEA-C01 Question 289

Single page β†’
Topic 1 Β· Question 289

A data engineer at a large company needs to create centralized datasets that are optimized for Amazon Redshift performance. The company has multiple downstream teams that use their own AWS accounts and dedicated Amazon Redshift clusters with RA3 nodes. All downstream teams need access to the centralized datasets. Which solution will provide immediate access to the datasets and maintain the current Amazon Redshift performance?

  • ACopy the datasets to an Amazon S3 bucket by using the UNLOAD command. Register the table definitions in a dedicated AWS Glue Data Catalog schema. Share the schema with the other AWS accounts by using AWS Lake Formation. Use Amazon Redshift Spectrum to access the data.
  • BCreate a daily extract, transform, and load (ETL) job to unload the data to an Amazon S3 staging area. Instruct the teams to copy the data into their Amazon Redshift clusters.
  • CSet up Amazon Redshift data sharing between the Amazon Redshift producer clusters and the consumer clusters to provide access to the centralized datasets. (correct answer)
  • DSet up an AWS DataSync job that automatically syncs the data between the Amazon Redshift producer clusters and the consumer clusters.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Set up Amazon Redshift data sharing between the Amazon Redshift producer clusters and the consumer clusters to provide access to the centralized datasets.

Explanation

Amazon Redshift is a managed petabyte-scale data warehouse for complex analytical queries.

DEA-C01 Question 290

Single page β†’
Topic 1 Β· Question 290

A global finance company needs to implement near real-time cross-Region synchronization of trading data between trading centers in the us-east-1 Region, the eu-west-2 Region, and the ap-northeast-1 Region. The company must ensure that data is encrypted in transit. The solution must ensure data ordering and consistency and must support cross-Region disaster recovery. The solution must provide data latency of less than 500 milliseconds. Which solution will meet these requirements with the LEAST operational effort?

  • ADeploy Apache Kafka Connect in each AWS Region. Use custom-developed connectors to set up cross-Region data replication. Configure the SSL security protocol.
  • BUse Amazon Managed Streaming for Apache Kafka (Amazon MSK) Replicator to establish fully interconnected replication relationships between MSK clusters in the three AWS Regions. Enable TLS encryption and IAM authentication. Set up cross-Region backup configurations. (correct answer)
  • CDeploy Apache Kafka Mirror Maker 2.0 in each AWS Region. Set up custom replication policies to handle cross-Region data synchronization. Configure the SSL security protocol.
  • DUse Amazon Kinesis Data Streams to receive trading data from each AWS Region. Use Amazon Data Firehose to replicate data between Amazon Managed Streaming for Apache Kafka (Amazon MSK) clusters in each Region. Configure AWS Key Management Service (AWS KMS) encryption and IAM roles to manage access.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) Replicator to establish fully interconnected replication relationships between MSK clusters in the three AWS Regions. Enable TLS encryption and IAM authentica...

Explanation

AWS Backup centrally automates and manages backups across AWS services. Amazon MSK provides fully managed Apache Kafka for streaming. AWS IAM controls authenticated and authorized access to AWS resources with fine-grained policies.

DEA-C01 Question 291

Single page β†’
Topic 1 Β· Question 291

A company’s application needs to search and analyze data in near real time. The application must handle up to 1,000 requests each second with low query latency. The company wants a solution that individual data teams can own and configure to meet each team's cost and performance optimization requirements. Which solution will meet these requirements?

  • AUse Amazon S3 buckets to store the data. Use Amazon Athena to query and analyze the data. Assign each data team a separate S3 bucket prefix to optimize queries.
  • BUse streams in Amazon Kinesis Data Streams and Amazon Managed Service for Apache Flink to query and analyze the data. Assign each data team a separate stream to manage and consume.
  • CUse Amazon OpenSearch Service clusters with indexing to query the data. Assign each data team a separate cluster to configure for storage and queries. (correct answer)
  • DUse Amazon Aurora clusters that run on Aurora I/O-Optimized instances. Assign each data team a separate Aurora cluster to configure for storage and queries.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Use Amazon OpenSearch Service clusters with indexing to query the data. Assign each data team a separate cluster to configure for storage and queries.

Explanation

Amazon OpenSearch Service provides managed search and log analytics. AWS Config tracks resource configuration changes and evaluates compliance. This option meets the real-time / low-latency performance requirement.

DEA-C01 Question 293

Single page β†’
Topic 1 Β· Question 293

A company stores sensitive transaction data in an Amazon S3 bucket. A data engineer must implement controls to prevent accidental deletions. Which solution will meet this requirement?

  • AEnable versioning on the S3 bucket and configure MFA delete. (correct answer)
  • BConfigure an S3 bucket policy rule that denies the creation of S3 delete markers.
  • CCreate an S3 Lifecycle rule that moves deleted files to S3 Glacier Deep Archive.
  • DSet up AWS Config remediation actions to prevent users from deleting S3 objects.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Enable versioning on the S3 bucket and configure MFA delete.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. AWS Config tracks resource configuration changes and evaluates compliance.

DEA-C01 Question 294

Single page β†’
Topic 1 Β· Question 294

A company stores historical customer data in an Amazon Redshift table. A column named Email contains null entries and values that are not email addresses. The quality of the Email column is critical for multiple downstream processes. A data engineer must create an AWS Glue Data Quality rule that fails when the percentage of valid email addresses in the Email column is less than 90%. Which component of an AWS Glue Data Quality rule will meet these requirements?

  • AUniqueness "Email" matches "[%@%.%]" with a threshold set to > 0.9
  • BColumnValues "Email” matches "[%@%.%]" with a threshold set to > 0.1
  • CColumnValues "Email" matches "[%@%.%]" with a threshold set to > 0.9 (correct answer)
  • DUniqueValueRatio "Email" matches "[%@%.%]" with a threshold set to > 0.1
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: ColumnValues "Email" matches "[%@%.%]" with a threshold set to > 0.9.

DEA-C01 Question 295

Single page β†’
Topic 1 Β· Question 295

A company is building data processing pipelines by using AWS Glue. The pipelines access data stored in Amazon S3. The company has organized the data into folders with prefixes that represent different classification levels. The company needs to restrict AWS Glue jobs to access only specific prefixes based on the data classification. The company must also restrict access to business hours (9 AM to 5 PM). Which elements must the company include in a custom IAM policy to meet these requirements?

  • AA Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the $util.time variable with TimeGreaterThan and TimeLessThan operators
  • BA Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the aws:CurrentTime condition key with DateGreaterThan and DateLessThan operators (correct answer)
  • CA Condition element that uses the s3:prefix condition key to restrict folder access and aws:CurrentTime with DateGreaterThanEquals and DateLessThanEquals to restrict hours of operation
  • DA Condition element that uses the s3:ResourceAccount condition key to restrict bucket access and a Deny statement that applies outside of business hours
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: A Resource element with S3 object Amazon Resource Name (ARN) patterns that use wildcards for each prefix and a Condition element that uses the aws:CurrentTime condition key with DateGreaterThan and DateLessThan operators

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.

DEA-C01 Question 296

Single page β†’
Topic 1 Β· Question 296

A company needs to collect logs for an Amazon RDS for MySQL database and make the logs available for audits. The logs must track each user that modifies data in the database or makes changes to the database instance. Which solution will meet these requirements?

  • AEnable Amazon CloudWatch Logs. Create metric filters to monitor database changes and instance-level changes. Configure automated notification systems to send near real-time alerts for suspicious database operations.
  • BConfigure an Amazon EventBridge rule to monitor database activity. Create an AWS Lambda function to process EventBridge events and store them in Amazon OpenSearch Service.
  • CConfigure AWS CloudTrail to log API calls. Use Amazon CloudWatch Logs for basic monitoring. Use IAM policies to control access to the logs. Set up scheduled reporting for log audits.
  • DEnable and configure native Amazon RDS database audit logging. Enable Amazon CloudWatch Logs. Configure metric filters and alarms. Configure AWS CloudTrail audit logging. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Enable and configure native Amazon RDS database audit logging. Enable Amazon CloudWatch Logs. Configure metric filters and alarms. Configure AWS CloudTrail audit logging.

Explanation

Amazon RDS is a managed relational database that handles patching, backups and failover. Amazon CloudWatch collects metrics, logs and alarms to monitor and react to operational health. AWS CloudTrail records API activity for auditing and governance.

DEA-C01 Question 297

Single page β†’
Topic 1 Β· Question 297

A company processes a CSV file that contains millions of transaction records every day. The file is stored in Amazon S3. Each transaction must be validated before updating a database. The company needs a solution that will process the data in parallel. The solution must use error handling that stops the entire process if more than 15% of the records fail validation. Which solution will meet these requirements with the LEAST operational overhead?

  • ACreate an AWS Batch job that processes chunks of the file in parallel with a custom error tracking mechanism.
  • BUse AWS Step Functions Distributed Map state with the ToleratedFailurePercentage field set to 15%. (correct answer)
  • CDeploy an Amazon EMR cluster with Spark to process the file Configure a custom failure threshold to 15%.
  • DUse AWS Lambda with S3 Batch Operations to process the file and track validation failures to be less than 15%.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Use AWS Step Functions Distributed Map state with the ToleratedFailurePercentage field set to 15%.

Explanation

AWS Step Functions coordinates multi-step workflows as a managed state machine.

DEA-C01 Question 298

Single page β†’
Topic 1 Β· Question 298

A company needs to generate a one-time performance report by joining data that is stored in Amazon DynamoDB. Amazon RDS. Amazon Redshift. and Amazon S3. The company wants to avoid unnecessary data movement and to minimize query execution time. Which solution will meet these requirements?

  • ACapture data from DynamoDB by using DynamoDB Streams. Migrate data from Amazon RDS by using AWS DMS. Export Amazon Redshift data. Store all data in Amazon S3. Use Redshift Spectrum to run queries.
  • BSet up an AWS Glue ETL pipeline to extract, transform, and centralize data in Amazon S3. Use Amazon Athena to run analytical queries.
  • CDeploy an Amazon EMR cluster powered by Apache Spark to ingest, process, and merge datasets from multiple sources. Run analytical workloads on the merged data.
  • DUse Amazon Athena Federated Query to perform one-time joins and analysis across DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3. (correct answer)
Reveal answer & explanation
Correct answer: D

The correct answer is D. Option D: Use Amazon Athena Federated Query to perform one-time joins and analysis across DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3.

Explanation

Amazon S3 provides durable, scalable object storage that is fully managed. Amazon DynamoDB is a fully managed, serverless NoSQL database with single-digit millisecond latency and automatic scaling. Amazon RDS is a managed relational database that handles patching, backups and failover.

DEA-C01 Question 299

Single page β†’
Topic 1 Β· Question 299 Β· Select all that apply

A data engineer is building a serverless. multi-step extract, transform, and load (ETL) pipeline. The pipeline extracts data from an Amazon S3 data lake and transforms the data by using AWS Glue ETL jobs. The pipeline then loads the results into an Amazon Redshift database. The data engineer needs to orchestrate the serverless ETL workflow. Which solutions will meet these requirements? (Choose two.)

  • AImplement the workflow by using AWS Step Functions. Configure Step Functions to coordinate the AWS Glue ETL jobs and handle error conditions with automatic retries. (correct answer)
  • BUse AWS Glue workflows to create a graph of the ETL tasks that visually represents the dependencies between jobs and the job triggers. (correct answer)
  • CProvision an always on Amazon EC2 instance. Create a cron job that invokes the AWS Glue ETL jobs in sequence based on a predefined scheduleю
  • DUse Amazon EventBridge rules to invoke the AWS Glue ETL jobs based on S3 object creation events. Configure the rules to chain the AWS Glue ETL jobs in sequence and handle complex job dependencies.
  • EBuild an orchestration solution by using AWS CodePipeline to coordinate the ETL pipeline and infrastructure changes based on the dependencies.
Reveal answer & explanation
Correct answer: A, B

The correct answer is A, B. Option A: Implement the workflow by using AWS Step Functions. Configure Step Functions to coordinate the AWS Glue ETL jobs and handle error conditions with automatic retries. Option B: Use AWS Glue workflows to create a graph of the ETL tasks that visually represents the dependencies between jobs and the job triggers.

Explanation

AWS Step Functions coordinates multi-step workflows as a managed state machine. 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 300

Single page β†’
Topic 1 Β· Question 300

A media company uploads large video files to Amazon S3 for processing. After processing, the company needs to keep the original files for 90 days in case the files require reprocessing. After 90 days, the company can delete the files to reduce storage costs. The company stores the processed videos in a different S3 bucket. Which S3 Lifecycle configuration will meet these requirements for the original files MOST cost-effectively?

  • AStore the files in S3 Standard for 90 days. Transition the files to S3 Glacier Flexible Retrieval for long-term storage. Then expire the files.
  • BStore the files in S3 Standard for 90 days. Enable versioning. Enable Object Lock on the files for 90 days. Then expire the files.
  • CStore the files in S3 Standard for 90 days. Implement S3 Lifecycle management to expire the files. (correct answer)
  • DStore the files in S3 Intelligent-Tiering for 90 days. Enable versioning. Add S3 Lifecycle management to expire the files.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Store the files in S3 Standard for 90 days. Implement S3 Lifecycle management to expire the files.

Explanation

S3 Lifecycle policies automatically transition or expire objects to control storage cost. Amazon S3 provides durable, scalable object storage that is fully managed. This option delivers the requirement at the lowest cost.

DEA-C01 Question 301

Single page β†’
Topic 1 Β· Question 301

A university is developing an educational application that analyzes student essays. The application provides personalized feedback with accurate citations to the university's textbooks. The application needs to process essays in multiple languages. Application responses must include direct references to specific sections in the course materials and must be in the student’s selected language. Which solution will meet these requirements with the LEAST operational overhead?

  • ABuild a custom vector database by using Amazon OpenSearch Serverless. Store textbook content as multilingual embeddings. Create an AWS Lambda function that queues the database when generating responses with Amazon Bedrock.
  • BCreate a knowledge base in Amazon Bedrock Knowledge Bases with the university’s textbooks. Configure a multilingual model to generate responses with source citations.
  • CUse Amazon Comprehend to detect the language and key topics in the essays. Use Amazon Kendra to search for relevant textbook passages. Create an AWS Lambda function that formats the textbook passages into feedback. (correct answer)
  • DUse Amazon SageMaker to host a custom-trained large language model (LLM) that has been fine-tuned on the university’s textbooks to generate personalized feedback with citations.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Use Amazon Comprehend to detect the language and key topics in the essays. Use Amazon Kendra to search for relevant textbook passages. Create an AWS Lambda function that formats the textbook passages into feedback.

Explanation

AWS Lambda runs code without provisioning servers and scales automatically, which minimizes operational overhead. Amazon Comprehend extracts insights and entities from text using NLP. Amazon Kendra provides intelligent enterprise search.

Showing questions 281–300 of 313 Β· Page 15 of 16