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Amazon AWS Certified Developer Associate Exam (DVA-C02) Sample Questions (Q256-Q261):

NEW QUESTION # 256
A developer is building an application to process a stream of customer orders. The application sends processed orders to an Amazon Aurora MySQL database. The application needs to process the orders in batches.
The developer needs to configure a workflow that ensures each record is processed before the application sends each order to the database.
Options:

Answer: C

Explanation:
Step 1: Understanding the Problem
* Processing in Batches: The application must process records in groups.
* Sequential Processing: Each record in the batch must be processed before writing to Aurora.
* Solution Goals: Use services that support ordered, batched processing and integrate with Aurora.
Step 2: Solution Analysis
* Option A:
* Amazon Kinesis Data Streams supports ordered data processing.
* AWS Lambda can process batches of records via event source mapping with MaximumBatchingWindowInSeconds for timing control.
* Configuring the batching window ensures efficient processing and compliance with the workflow.
* Correct Option.
* Option B:
* Amazon SQS is not designed for streaming; it provides reliable, unordered message delivery.
* Setting MaximumBatchingWindowInSeconds to 0 disables batching, which is contrary to the requirement.
* Not suitable.
* Option C:
* Amazon MSK provides Kafka-based streaming but requires custom EC2-based processing.
* This increases system complexity and operational overhead.
* Not ideal for serverless requirements.
* Option D:
* DynamoDB Streams is event-driven but lacks strong native integration for batch ordering.
* Using ECS adds unnecessary complexity.
* Not suitable.
Step 3: Implementation Steps for Option A
* Set up Kinesis Data Stream:
* Configure shards based on the expected throughput.
* Configure Lambda with Event Source Mapping:
* Enable Kinesis as the event source for Lambda.
* Set MaximumBatchingWindowInSeconds to 300 to accumulate data for processing.
* Example:
{
"EventSourceArn": "arn:aws:kinesis:region:account-id:stream/stream-name",
"BatchSize": 100,
"MaximumBatchingWindowInSeconds": 300
}
* Write Processed Data to Aurora:
* Use AWS RDS Data API for efficient database operations from Lambda.
AWS Developer References:
* Amazon Kinesis Data Streams Developer Guide
* AWS Lambda Event Source Mapping
* Batch Processing with Lambda


NEW QUESTION # 257
A user is using an EBS backed instance. Which of the below mentioned statements is true?

Answer: B

Explanation:
If a user has launched an EBS backed instance, the user will be charged for the EBS volume even though the instance is in a stopped state. The instance will be charged for the EC2 hourly cost only when it is running.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-detaching-volume.html


NEW QUESTION # 258
A user has attached one RDS security group with 5 RDS instances. The user has changed the ingress
rule for the security group. What will be the initial status of the ingress rule?

Answer: B

Explanation:
When the user makes any changes to the RDS security group the rule status will be authorizing for some
time until the changes are applied to all instances that the group is connected with. Once the changes are
propagated the rule status will change to authorized.
Reference:
http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_WorkingWithSecurityGroups.html


NEW QUESTION # 259
When using a large Scan operation in DynamoDB, what technique can be used to minimize the impact of a scan on a table's provisioned throughput?

Answer: B

Explanation:
Explanation
Because a Scan operation reads an entire page (by default, 1 MB), you can reduce the impact of the scan operation by setting a smaller page size. The Scan operation provides a Limit parameter that you can use to set the page size for your request. Each Scan or Query request that has a smaller page size uses fewer read operations and creates a "pause" between each request. For example, if each item is 4 KB and you set the page size to 40 items, then a Query request would consume only 40 strongly consistent read operations or 20 eventually consistent read operations. A larger number of smaller Scan or Query operations would allow your other critical requests to succeed without throttling.


NEW QUESTION # 260
You have written an application that uses the Elastic Load Balancing service to spread traffic to several web servers. Your users complain that they are sometimes forced to login again in the middle of using your application, after they have already logged in. This is not behavior you have designed.
What is a possible solution to prevent this happening?

Answer: B

Explanation:
https://aws.amazon.com/caching/session-management/


NEW QUESTION # 261
......

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