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Earning the Amazon DVA-C02 certification demonstrates an individual's expertise in developing and deploying applications on the AWS platform. It also validates an individual's ability to use AWS services effectively to design and deploy scalable, reliable, and cost-effective applications. AWS Certified Developer - Associate certification can open up various job opportunities in the cloud computing industry, including roles such as AWS developer, cloud architect, and DevOps engineer, among others.
The Amazon DVA-C02 Exam is intended for individuals who have experience in developing and maintaining applications in AWS. It is also recommended that candidates have a basic understanding of at least one programming language and a working knowledge of RESTful API design principles. The Amazon DVA-C02 certification is an excellent way for developers to demonstrate their expertise and differentiate themselves in a competitive job market.
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The DVA-C02 exam measures the candidate's knowledge in various aspects of AWS development, including AWS core services, AWS security, serverless applications, and deploying and managing AWS services. DVA-C02 Exam consists of 65 multiple-choice and multiple-response questions, and the candidate has 130 minutes to complete the exam.
NEW QUESTION # 371
A company is using an AWS Lambda function to process records from an Amazon Kinesis data stream. The company recently observed slow processing of the records. A developer notices that the iterator age metric for the function is increasing and that the Lambda run duration is constantly above normal.
Which actions should the developer take to increase the processing speed? (Choose two.)
Answer: B,E
NEW QUESTION # 372
A company has an online order website that uses Amazon DynamoDB to store item inventory. A sample of the inventory object is as follows:
* Id: 456
* Price: 650
* Product.Category: "Sporting Goods"
A developer needs to reduce all inventory prices by 100 as long as the resulting price would not be less than
500.
What should the developer do to make this change with the LEAST number of calls to DynamoDB?
Answer: B
Explanation:
The goal is to reduce a given item's price by 100 only when the resulting value would not fall below 500.
That means the update should occur only when the current Price is at least 600 (because Price - 100 >= 500 # Price >= 600). The requirement also says to do this with the least number of calls to DynamoDB. The most efficient approach is to use a single UpdateItem call with a ConditionExpression so DynamoDB enforces the rule atomically.
Option B does exactly that: issue one UpdateItem request that updates Price = Price - :delta (using an update expression) while including a condition like Price >= :minPriceBeforeReduction (where :
minPriceBeforeReduction is 600). If the condition is true, DynamoDB performs the update; if it's false, DynamoDB rejects the write with ConditionalCheckFailedException. This avoids a separate read/query call and prevents race conditions where the price could change between a read and a subsequent write.
Option A requires two calls (Query then UpdateItem) and is vulnerable to time-of-check/time-of-use issues unless additional conditional logic is added to the update anyway. Option C adds an extra condition on category, but the requirement is "reduce all inventory prices" subject to the minimum resulting price; filtering by category is unnecessary and can cause eligible items in other categories to be skipped. Option D expresses the rule in a mathematical form; while conceptually correct, DynamoDB condition expressions do not generally support arbitrary arithmetic in the condition the same way as a simple comparison, so the standard implementation is to compare against 600 directly.
Therefore, B is the correct choice: one UpdateItem call with a condition expression Price >= 600 minimizes DynamoDB calls and enforces the pricing rule safely and atomically.
NEW QUESTION # 373
A company has an application that uses Amazon Cognito user pools as an identity provider. The company must secure access to user records. The company has set up multi-factor authentication (MFA). The company also wants to send a login activity notification by email every time a user logs in.
What is the MOST operationally efficient solution that meets this requirement?
Answer: D
Explanation:
Amazon Cognito user pools support Lambda triggers, which are custom functions that can be executed at various stages of the user pool workflow. A post authentication Lambda trigger can be used to perform custom actions after a user is authenticated, such as sending an email notification. Amazon SES is a cloud-based email sending service that can be used to send transactional or marketing emails. A Lambda function can use the Amazon SES API to send an email to the user's email address after the user logs in successfully. Reference: Post authentication Lambda trigger
NEW QUESTION # 374
A developer is building an ecommerce application that uses multiple AWS Lambda functions. Each function performs a specific step in a customer order workflow, such as order processing and inventory management.
The developer must ensure that the Lambda functions run in a specific order.
Which solution will meet this requirement with the LEAST operational overhead?
Answer: C
Explanation:
The requirement here is to ensure that Lambda functions are executed in a specific order. AWS Step Functions is a low-code workflow orchestration service that enables you to sequence AWS services, such as AWS Lambda, into workflows. It is purpose-built for situations like this, where different steps need to be executed in a strict sequence.
AWS Step Functions: Step Functions allows developers to design workflows as state machines, where each state corresponds to a particular function. In this case, the developer can create a Step Functions state machine where each step (order processing, inventory management, etc.) is represented by a Lambda function.
Operational Overhead: Step Functions have very low operational overhead because it natively handles retries, error handling, and function sequencing.
Alternatives:
Amazon SQS (Option A): While SQS can manage message ordering, it requires more manual handling of each step and the logic to sequentially invoke the Lambda functions.
Amazon SNS (Option B): SNS is a pub/sub service and is not designed to handle sequences of Lambda executions.
EventBridge (Option D): EventBridge Scheduler allows you to invoke Lambda functions based on scheduled times, but it doesn't directly support sequencing based on workflow logic.Therefore, AWS Step Functions is the most appropriate solution due to its native orchestration capabilities and minimal operational complexity.
AWS Step Functions documentation
NEW QUESTION # 375
A development team uses AWS Elastic Beanstalk for application deployment. The development team has configured the application version lifecycle policy to limit the number of application versions to 25. However, even with the application version lifecycle policy, the source bundle is deleted from the Amazon S3 source bucket. What should the development team do in the Elastic Beanstalk application version lifecycle settings to retain the source code in the S3 bucket?
Answer: B
Explanation:
Elastic Beanstalk application version lifecycle settings include an option to delete or retain the source bundle in Amazon S3 when old application versions are removed. To keep the source code in the S3 bucket, the lifecycle policy must be configured to retain the source bundle.
NEW QUESTION # 376
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