Amazon
DVA-C01 Exam
Questions

AWS Certified Developer - Associate DVA-C01

Amazon (DVA-C01) Exam Questions And Answers page 20

How can a Developer improve the performance of a Lambda function adding new customers to an RDS database?

Single Choice

A Developer has implemented a Lambda function that needs to add new customers to an RDS database that is expected to run hundreds of times per hour. The Lambda function is configured to use 512MB of RAM and is based on the following pseudo code:

After testing the Lambda function, the Developer notices that the Lambda execution time is much longer than expected. What should the Developer do to improve performance?

Increase the amount of RAM allocated to the Lambda function, which will increase the number of threads the Lambda can use.

Increase the size of the RDS database to allow for an increased number of database connections each hour.

Move the database connection and close statement out of the handler. Place the connection in the global space.

Replace RDS wit Amazon DynamoDB to implement control over the number of writes per second.

Compute Services Security and Identity Services

How can a Developer resolve the issue of users not seeing updated changes in an application served through Amazon CloudFront?

Single Choice

A Developer has published an update to an application that is served to a global user base using Amazon CloudFront. After deploying the application, users are not able to see the updated changes.

How can the Developer resolve this issue?

Remove the origin from the CloudFront configuration and add it again.

Disable forwarding of query strings and request headers from the CloudFront distribution configuration.

Invalidate all the application objects from the edge caches.

Disable the CloudFront distribution and enable it again to update all the edge locations.

Compute Services Networking and Content Delivery

What is the order in which records will be processed by a Lambda function from an Amazon Kinesis Stream with 4 shards?

Single Choice

A Developer has setup an Amazon Kinesis Stream with 4 shards to ingest a maximum of 2500 records per second. A Lambda function has been configured to process these records.

In which order will these records be processed?

Lambda will receive each record in the reverse order it was placed into the stream following a LIFO (last-in, first-out) method

Lambda will receive each record in the exact order it was placed into the stream following a FIFO (first-in, first-out) method.

Lambda will receive each record in the exact order it was placed into the shard following a FIFO (first-in, first-out) method. There is no guarantee of order across shards.

The Developer can select FIFO, (first-in, first-out), LIFO (last-in, last-out), random, or request specific record using the getRecords API.

Networking and Content Delivery Deployment and Management

What is the order in which records will be processed by a Lambda function from an Amazon Kinesis Stream with 4 shards?

Single Choice

Lambda will receive each record in the reverse order it was placed into the stream following a LIFO (last-in, first-out) method

Lambda will receive each record in the exact order it was placed into the stream following a FIFO (first-in, first-out) method.

Lambda will receive each record in the exact order it was placed into the shard following a FIFO (first-in, first-out) method. There is no guarantee of order across shards.

The Developer can select FIFO, (first-in, first-out), LIFO (last-in, last-out), random, or request specific record using the getRecords API.

Networking and Content Delivery Deployment and Management

How can a developer ensure that only relevant AWS CodePipeline pipelines run for specific microservice projects?

Single Choice

A developer has three microservice projects that are separated into different folders under the same AWS CodeCommit repository. Each project has a separate AWS CodePipeline pipeline. The developer notices that when changes are pushed to one microservice, all three pipelines begin to run.

The developer needs to ensure that only relevant pipelines run. The developer cannot make any changes to how the repository is organized.

Which solution will meet these requirements?

For each of the three microservice projects, create a separate CodeCommit repository.

Create an Amazon EventBridge (Amazon CloudWatch Events) rule that invokes an AWS Lambda function to evaluate changes to the repository and run the appropriate pipeline.

Create an Amazon API Gateway API that is backed by an AWS Lambda function to determine the appropriate pipeline to run. Add the API endpoint to a webhook in CodeCommit.

Migrate all three pipelines to a single pipeline. Add conditional stages to build a certain microservice project.

Deployment and Management

What is the most efficient way to graphically monitor the number of running threads in a multi-threaded application on Amazon EC2 instances?

Single Choice

A developer has written a multi-threaded application that is running on a fleet of Amazon EC2 instances. The operations team has requested a graphical method to monitor the number of running threads over time.

What is the MOST efficient way to fulfill this request?

Periodically send the thread count to AWS X-Ray segments, then generate a service graph on demand.

Create a custom Amazon CloudWatch metric and periodically perform a PutMetricData call with the current thread count.

Periodically log thread count data to Amazon S3. Use Amazon Kinesis to process the data into a graph.

Periodically write the current thread count to a table using Amazon DynamoDB and use Amazon CloudFront to create a graph.

Compute Services Monitoring and Troubleshooting

What is the most efficient way to graphically monitor the number of running threads in a multi-threaded application on Amazon EC2 instances?

Single Choice

Periodically send the thread count to AWS X-Ray segments, then generate a service graph on demand.

Create a custom Amazon CloudWatch metric and periodically perform a PutMetricData call with the current thread count.

Periodically log thread count data to Amazon S3. Use Amazon Kinesis to process the data into a graph.

Periodically write the current thread count to a table using Amazon DynamoDB and use Amazon CloudFront to create a graph.

Compute Services Monitoring and Troubleshooting

How can a Developer resolve ProvisionedThroughputExceededException errors in an Amazon Kinesis Data Streams application?

Multiple Choice

A Developer has written an Amazon Kinesis Data Streams application. As usage grows and traffic increases over time, the application is regularly receiving ProvisionedThroughputExceededException error messages.

Which steps should the Developer take to resolve the error? (Choose two.)

Use Auto Scaling to scale the stream for better performance

Increase the delay between the GetRecords call and the PutRecords call

Increase the number of shards in the data stream

Specify a shard iterator using the ShardIterator parameter

Implement exponential backoff on the GetRecords call and the PutRecords call

Storage Services Deployment and Management

How to improve the performance of an application generating and uploading objects to Amazon S3?

Single Choice

A developer has written an application hosted on Amazon EC2 instances. The application generates and uploads thousands of new objects to an Amazon S3 bucket located in the same AWS Region. The size of each object is less than 1 MB. The application is taking too long to run.

How can the performance of the application be improved?

Use the S3 Multipart Upload API.

Use S3 Transfer Acceleration.

Upload the objects in parallel to Amazon S3.

Add a random prefix to the object Keys.

Compute Services Storage Services

How can a developer monitor and graph values generated by an application on Amazon EC2 instances?

Single Choice

A Developer has written an application that runs on Amazon EC2 instances and generates a value every minute. The Developer wants to monitor and graph the values generated over time without logging in to the instance each time.

Which approach should the Developer use to achieve this goal?

Use the Amazon CloudWatch metrics reported by default for all EC2 instances. View each value from the CloudWatch console.

Develop the application to store each value in a file on Amazon S3 every minute with the timestamp as the name.

Publish each generated value as a custom metric to Amazon CloudWatch using available AWS SDKs.

Store each value as a variable and add the variable to the list of EC2 metrics that should be reported to the Amazon CloudWatch console.

Networking and Content Delivery Monitoring and Troubleshooting

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Amazon (DVA-C01) Exam Questions And Answers page 20

How can a Developer improve the performance of a Lambda function adding new customers to an RDS database?

Comments

How can a Developer resolve the issue of users not seeing updated changes in an application served through Amazon CloudFront?

Comments

What is the order in which records will be processed by a Lambda function from an Amazon Kinesis Stream with 4 shards?

Comments

What is the order in which records will be processed by a Lambda function from an Amazon Kinesis Stream with 4 shards?

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How can a developer ensure that only relevant AWS CodePipeline pipelines run for specific microservice projects?

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What is the most efficient way to graphically monitor the number of running threads in a multi-threaded application on Amazon EC2 instances?

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What is the most efficient way to graphically monitor the number of running threads in a multi-threaded application on Amazon EC2 instances?

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How can a Developer resolve ProvisionedThroughputExceededException errors in an Amazon Kinesis Data Streams application?

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How to improve the performance of an application generating and uploading objects to Amazon S3?

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How can a developer monitor and graph values generated by an application on Amazon EC2 instances?

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