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Amazon Web Services Updated DVA-C02 Exam Questions and Answers by kendall

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Amazon Web Services DVA-C02 Exam Overview :

Exam Name: AWS Certified Developer - Associate
Exam Code: DVA-C02 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 344 Q&A's Shared By: kendall
Question 12

A company is migrating an on-premises database to Amazon RDS for MySQL. The company has read-heavy workloads. The company wants to refactor the code to achieve optimum read performance for queries.

Which solution will meet this requirement with LEAST current and future effort?

Options:

A.

Use a multi-AZ Amazon RDS deployment. Increase the number of connections that the code makes to the database or increase the connection pool size if a connection pool is in use.

B.

Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.

C.

Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.

D.

Use open source replication software to create a copy of the MySQL database on an Amazon EC2 instance. Modify the application code so that queries use the IP address of the EC2 instance.

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Question 13

An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:

Questions 13

Which techniques will help mitigate this exception? (Choose two.)

Options:

A.

Implement retries with exponential backoff.

B.

Use a PutRecord API instead of PutRecords.

C.

Reduce the frequency and/or size of the requests.

D.

Use Amazon SNS instead of Kinesis.

E.

Reduce the number of KCL consumers.

Discussion
Question 14

A developer needs to modify an application architecture to meet new functional requirements. Application data is stored in Amazon DynamoDB and processed tor analysis in a nightly batch. The system analysts do not want to wait until the next day to view the processed data and have asked to have it available in near-real time.

Which application architecture pattern would enable the data to be processed as it is received?

Options:

A.

Event driven

B.

Client-server d riven

C.

Fan-out driven

D.

Schedule driven

Discussion
Question 15

A developer migrated a legacy application to an AWS Lambda function. The function uses a third-party service to pull data with a series of API calls at the end of each month. The function than processes the data to generate the monthly reports. The function has Been working with no issues so far.

The third-party service recently issued a restriction to allow a feed number to API calls each minute and each day. If the API calls exceed the limit tor each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.

What is the MOST operationally efficient way to refactor the server less application to accommodate this change?

Options:

A.

Use an AWS Step Functions State machine to monitor API failures. Use the Wait state to delay calling the Lambda function.

B.

Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.

C.

Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm flat slops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.

D.

Use Amazon Kinesis Data Firehose to batch me API calls and deliver them to an Amazon S3 bucket win an event notification to invoke the Lambda function.

Discussion
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